master thesis financial technology

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Financial Technology and Analytics Master's Degree

Program details.

Today's financial industry is driven by technology, making it essential for professionals to have expertise in areas such as financial technology, data science, and advanced analytical modeling.

Program Highlights

Job Ready from the Start: Our master’s degree in financial analytics is designed with an ever-evolving, leading-edge curriculum that equips students with the skills and knowledge sought after by top employers in the finance industry. The program's real-world relevance ensures graduates are job-ready from day one. Stevens alumni have built a solid foundation of excellence that future graduates are prepared to build on.

Wall Street Tools: Students gain hands-on experience with the latest technologies used by Wall Street firms and global financial institutions, providing them with a competitive edge in the job market. The program's emphasis on practical application ensures seamless integration into dynamic finance roles.

Personalized Path, Tailored Success: The program culminates in a capstone consulting or research experience, allowing you to apply your knowledge to real-world scenarios. With the guidance of a dedicated faculty advisor, you'll customize your degree through a strategic selection of electives. This personalized approach ensures your educational journey is tailored to your goals, setting you on the path to success.

Powerful Professional Networks: Faculty members maintain close ties with the finance industry, enabling them to connect students with valuable professional networks and discover opportunities that align with their individual interests and career aspirations. This personalized approach helps ensure a smooth transition from academia to the workforce.

The Heart of Global Finance: Located so close to the financial capital of the world, New York City, Stevens provides students with unparalleled access to industry leaders, networking events and real-world finance experiences. Our strategic location offers a competitive advantage for students seeking to launch successful careers in the heart of global finance.

Meta-Learning for a Competitive Edge: Develop invaluable meta-learning skills through our innovative curriculum, including the FA800 course, which fosters research abilities, communication prowess and interest in result-oriented techniques. By mastering the art of breaking down complex issues swiftly to create data-driven solutions, gaining insights into thinking processes, attitudes, motivation, and decision-making contexts, you'll cultivate a meta-learning mindset that has become increasingly crucial in the digital era.

Forging the Future of Fintech: A collaboration between Stevens and Rensselaer Institute of Technology (RPI), The Center for Research toward Advancing Financial Technologies (CRAFT) was the first fintech-focused Industry University Cooperative Research Center (IUCRC) funded by the National Science Foundation. The Center offers students an amazing opportunity to delve into research in the rapidly evolving world of financial technology and to network with other academics and industry professionals.

GMAT/GRE test scores are optional for all master’s programs except MBA. Applicants who think that their test scores reflect their potential for success in graduate school may submit scores for consideration.

Data Science for Wall Street

At Stevens, financial analysts combine their programming skills with talents in data analysis and statistics to design innovative solutions to finance problems. Financial Analysts also use excellent business and communication skills to assess client needs and make recommendations to executive teams.

The Master's in Financial Technology and Analytics program is designed for STEM students who are looking to pursue careers in the financial industry. The program covers a range of topics in financial technology and data science, including financial technology, blockchain technologies and decentralized finance, digital payment technologies and trends, applied statistics with applications in finance, introduction to financial risk management, and time series with applications to finance or advanced financial econometrics.

Our faculty are experts in the field and are constantly exploring new concepts in machine learning, data modeling, and optimization in finance. Students will have the opportunity to learn from these professionals and work with the data analysis and visualization tools used on Wall Street in our state-of-the-art financial labs.

M.S. in Financial Technology and Analytics Careers

Data Analyst

Data Engineer

Financial Specialist

Quantitative Researcher

Quantitative Risk Analyst

Risk Management Analyst

Trading Analyst

Potential hiring organizations include companies like: Alphabet, American Express, Barclays, BlackRock, JP Morgan Chase Co, KPMG, PNC Bank, UBS and more.

Admissions Criteria

Admission to the Financial Technology and Analytics master’s program is competitive. GMAT and GRE scores are optional, but candidates applying to this program with strong scores are encouraged to submit them with their application. To be considered for this program, your application must include the following.

Experience Recommended

You may apply to the Financial Technologies and Analytics program without any work experience, but students without work experience will need excellent academic credentials from their undergraduate work, with a degree in statistics, mathematics, physics, engineering, or another math or science discipline. 

For finance professionals interested in working in an analyst capacity, work experience is preferred. To keep up with the technical nature of coursework, computer science and statistics skills also are required. 

A list of general Stevens admissions criteria is available at Graduate Academics & Student Success.

Your application must include official transcripts from all universities you have attended. These records must show your name, the name of the university attended, enrollment dates, coursework completed, and grades assigned.

You must include a résumé with your application that highlights: 

Academic record

Work and internship experience

Leadership abilities

Stevens often invites master's candidates to interview prior to making an admissions decision. If you are selected for an interview after submitting your application, you will receive instructions via email.

Your application must include two letters of recommendation. The strongest applications will include one letter from a current supervisor, and one from a former supervisor or previous employer who can speak to your leadership potential and discuss your professional performance. 

Ideal candidates for the program will have a strong background in statistics, mathematics, physics, engineering or a related discipline, or will have several years' experience working in finance with an interest in exploring these disciplines in great depth. 

Preferred Application Deadlines

Graduate programs admit students on a "rolling" basis, meaning that students may still apply after the preferred deadlines.

Students requiring an F1 Visa are strongly encouraged to apply by the preferred deadlines to allow time for visa processing.

The Technology and Financial Analytics program has two concentrations : • The Financial Data Science concentration focuses on Data Analysis and Machine Learning applications to Finance.  • The Financial Technology concentration is focused on the newest technology emerging in recent years.  As a student, you are required to choose one of the concentrations, and additionally customize your degree with a set of four elective courses, including the chance to pursue a structured specialization tailored to your career interests. A close collaboration between you and your faculty advisor will help you select the right classes for your future.  

The Technology and Financial Analytics master's program at Stevens is available on campus or fully online.

Core Courses

These 9 credits are required for both concentrations. The students will learn fundamental data techniques, SQL, as well as machine learning techniques. FA582 and FE513 are first semester classes, while the capstone FA800 is to be completed in the last semester.

This course provides an overview of issues and trends in data quality, data storage, data scrubbing and data flows. Topics include data abstractions and integration, enterprise-level data issues, data management issues, similarity and distances, clustering methods, classification methods, text mining, and time series. Furthermore, the Hadoop-based programming framework for big data issues will be introduced, along with any governance and policy issues.  Corequisite: FE 513

The course introduces required techniques and fundamental knowledge in data science techniques. It familiarizes students with database and data analysis tools, teaching them to manage databases and solve financial problems using R. 

This course provides an applied overview of both classical linear approaches to statistical learning and more modern statistical methods. The classical linear approaches include logistic regression, linear discriminant analysis, k-means clustering and nearest neighbors, while modern approaches include generalized additive models, decision trees, boosting, bagging and support vector machines.

This course is designed for students undertaking a research or analytical project either individually or as a group. The goal of this course is to train students' ability to work on a research-oriented project in a group environment, and also train their professional presentation and scientific writing skills.

Concentrations

The students in the M.S. in Financial Technology and Analytics are required to choose one of the following two concentrations. Please expand to see the courses in each concentration.

The Fintech concentration is focused on decentralized finance, blockchain, and digital payment systems. FA 595 Financial Technology - 3 Credits This course deals with the networking and machine-learning technologies underlying activities of markets, institutions and participants. The overall purpose is to give students a working understanding of a wide variety of the technological tools that permeate modern life. The successful student will be able to extend this knowledge, understand systems currently in place and use new developments in the field as they are created.

FA 591 Blockchain Technologies and Decentralized Finance - 3 Credits The course will introduce concepts of Blockchain technologies as they apply to decentralized finance. The course starts with cryptocurrency and advances the concept of smart contracts as they apply to financial instruments. The course is technical and requires knowledge of programming in Python as well as financial instruments and concepts. Programming in solidity is learned throughout the class. The course discusses risk management concepts, stable coins as well as how regulations may impact the area. FA 596 Digital Payment Technologies and Trends - 3 Credits This course introduces students to the up-to-date payment systems and innovative financial technologies (fintech) in the payment systems. Common domestic and cross-border payment systems such as checking, ACH, cards, cash, wire transfer are discussed. Students learn hands-on skills of using blockchain technology as an innovative form of digital payments. Students also learn the mechanisms of recent fintech innovations, including Smart Contracts and Non-Fungible Tokens (NFTs). The course also trains students’ blockchain coding skills, including interpreting and writing smart contract codes.

The Financial Data Science concentration is focusing on automating financial advising with Data Analytics, and managing exposure to financial risk.  FA 541 Applied Statistics with Applications in Finance - 3 Credits The course prepares students to employ essential ideas and reasoning of applied statistics. Topics include data analysis, data production, maximum likelihood, method of moments, Bayesian estimators, hypothesis testing, tests of population, multivariate analysis, categorical data analysis, multiple regression, analysis of variance, nonlinear regression, risk measures, bootstrap methods and permutation tests. The course is designed to familiarize students with statistical software needed for analysis of the data. Financial applications are emphasized but the course serves areas of science and engineering where statistical concepts are needed. This course is a graduate course and is covering topics for a deeper understanding than undergraduate courses such as MA331 and BT221. Furthermore, the course will cover fundamental statistical topics which are the basis of any advanced course applying statistical notions such as MGT718, BT652 as well as courses on machine learning, knowledge discovery, big data, time series, etc. FE 535 Introduction to Financial Risk Management - 3 Credits This course deals with risk management concepts in financial systems. Topics include identifying sources of risk in financial systems, classification of events, probability of undesirable events, risk and uncertainty, risk in games and gambling, risk and insurance, hedging and the use of derivatives, the use of Bayesian analysis to process incomplete information, portfolio beta and diversification, active management of risk/return profile of financial enterprises, propagation of risk, and risk metrics. In addition to the two courses above, students take one of the time series classes below. FA 542 Time Series with Applications in Finance - 3 Credits (Fall Semester) In this course the students will learn how to estimate financial data model and predict using time series models. The course will cover linear time series (ARIMA) models, conditional heteroskedastic models (ARCH type models), non-linear models (TAR, STAR, MSA), non-parametric models (kernel regression, local regression, neural networks), non-parametric methods of evaluating fit such as bootstrap, parametric bootstrap and cross-validation. The course will also introduce multivariate time series models such as VAR. FIN 620 Advanced Financial Econometrics - 3 Credits (Spring Semester) This course will cover the main topics of the analysis of time series to evaluate risk and return of the main products of capital markets. Students will work with historical databases, conduct their analysis, and conduct tests based on the techniques reviewed during the class. The significant amount of historical information available for most financial instruments requires a systematic and analytical approach to select an optimal portfolio. Time series analysis facilitates this process understanding, modeling, and forecasting the behavior of financial assets.

Capstone Course or Master's Thesis

Students are required to complete a significant project as part of their Master experience. They can choose to complete the FA 800 Project in Financial Analytics during their final semester. They would work in teams often on projects offered by our industry partners.

Alternatively, the students may complete a thesis option. This means completing FA900 over two consecutive semesters. The project is going to be individual and will prepare the students in case they wish to pursue a Ph.D. degree in Data Science.

A minimum of six credit hours is required for the thesis. Hours and credits to be arranged. You will need both an advisor and a reader to complete this course; interested students should contact their academic advisor for complete details.

Meet the Program Director

M.S. in Financial Technology and Analytics: Facts & Figures

My Stevens lessons, especially in the master’s program, have been very applicable to my work and are useful even today. I still look back at my notes from time series and modeling lessons once in a while.

Nicholas Krute '18

Stevens provided me with most of the skills needed for my career, not just knowledge on paper. For example, the Applied Statistics, Statistical Learning, and Machine learning courses laid me a solid quantitative modeling foundation. The Data Visualization and Financial Technology courses helped me to develop skills in understanding and building the financial system infrastructure, even today.

Zimeng Cheng '18

Financial Technology - Master of Engineering

Become a Leader and Driver of Innovation Technologies like AI (machine learning) and blockchain are driving advances across the financial sector. The Duke Master of Engineering in Financial Technology (FinTech) will prepare you with the technical, financial and management skills to lead the next generation of financial innovation.

Financial Technology – Master of Engineering

Is duke’s fintech master’s right for you, consider applying if you are an:.

• Engineering, computer science, physics, math, statistics or econometrics graduate of an accredited institution who wants to create solutions that automate transactions, create revenue, strengthen security and add value
• Economics or business graduate who wants to learn about emerging technologies in the finance space
• Ambitious working professional looking for an online or accelerated degree that will advance your career trajectory
• Undergraduate at Duke who is interested in FinTech and the 4+1: Bachelor’s + Master’s program

Digital Assets @ Duke Conference February 5-7, 2025

Join key industry players in the digital assets space, regulatory experts and select researchers for two days of rigorous debate, discussions and education.

Study On Campus or Online

30-credit degree program | 10 courses.

• Study online or on-campus
• Business courses, plus project or internship
• Complete in 12 months to 29 months

12-29 months

to complete on-campus or online

7 technical courses

provide in-demand knowledge and skills

2 business courses

develop leadership and management skills

1 capstone project

builds your real-world work portfolio

Why an Accelerated Master of Engineering in FinTech was Developed

Duke FinTech added this year an accelerated 12-month program that allows professionals with at least 2 years of work experience bypass the internship requirement.

Duke Engineering Announces a 12-Month Master of Engineering in Financial Technology

Duke’s Master of Engineering in FinTech now offers a 12-month program for professionals with work experience, starting in Summer 2024. Applications open this fall.

Pratt Trailblazers: Jimmie Lenz

Jimmie Lenz embraced the transformative potential of blockchain technology and digital assets early on—a vision that ultimately reshaped his career trajectory and brought him to Duke University

More episodes »

Fall break begins (7:00 PM)

Oct 11 7:00 pm-7:00 pm

Football Tailgate Party for Engineering Graduate Students

All engineering master’s students and engineering PhD students are invited to join us at a tailgating party before the Duke football game against the University of Connecticut on Saturday, September […]

3:00 pm Krzyzewskiville

Pratt Peers Student Support Network Training

The Pratt Peers Student Support Network is a group of students who have volunteered their time to support the graduate and professional student community at the Pratt School of Engineering […]

2:00 pm Teer 203

Pratt PhD Re-Orientation

Dr. Collier and Alison Brandeis, Sr. Program Coordinator for PhD will review key content from new PhD Student Orientation with Q&A.

11:30 am Westbrook 0014

• How it works

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Fintech Dissertation Topics – With Examples

Published by Owen Ingram at December 29th, 2022 , Revised On May 2, 2024

Introduction:

Fintech, short for financial technology, is a rapidly growing industry that focuses on using technology to improve the efficiency of traditional banking and financial services.

Fintech companies specialise in developing software and other tools that automate banking processes and make it easier for businesses and individuals to manage their finances.

The products created by these companies include mobile apps to track spending, online payment systems, digital wallets, and blockchain technology.

Researching fintech is a critically important exercise for students of finance and technology alike. The growing importance of fintech as an innovation sector has made it an ever-evolving field, requiring researchers to stay abreast of the trends to keep up with its rapid pace.

Fintech dissertation topics require an understanding of the underlying concepts and a clear grasp of the practical applications and emerging trends in the industry.

However, for students researching fintech dissertation topics, there are some inherent challenges associated with this task.

Due to its highly specialised nature, staying up-to-date on relevant topics can be difficult as a lot of new information appears each day that needs sifting through and digesting.

How to Choose the Best Fintech Dissertation Topic:

When selecting a fintech topic, the process of researching and choosing a dissertation topic can be both exciting and daunting. Therefore, students need to take their time researching potential topics before settling on one. The following are some tips that can help streamline this process:

• First, Have a general understanding of what areas the student would like to explore in fintech. This will give them a better sense of the topics most applicable to their project or paper.
• Next, Look into industry publications and journals, as these are great resources for finding relevant content and cutting-edge information about fintech advances.
• Students should look at current trends in the field that might be of interest. Next, they need to identify areas where there may be gaps in knowledge or new opportunities that have not yet been explored.

List of Fintech Dissertation Topics

• Understanding blockchain and fintech
• Embracing digital transformation with fintech
• The impact of fintech on financial innovations
• Smart investing with fintech tools
• The impact of fintech on businesses
• The future of fintech
• Digital finance and fintech: current research and future research directions
• Fintech: ecosystem, business models, investment decisions, and challenges
• How do banks interact with fintech startups?
• The Impact of fintech startups on financial institutions’ performance and default risk
• Fintech growth during COVID-19 in MENA region: current challenges and future prospects
• How digital finance and fintech can improve financial inclusion
• Data security and consumer trust in fintech innovation
• Artificial intelligence in fintech: understanding robo-advisors adoption among customers
• VaR and market value of fintech companies: An analysis and evidence from global data
• Is the sustainability profile of fintech companies a key driver of their value?
• Competition and cooperation between fintech companies and traditional financial institutions
• Bitcoin, blockchain and fintech: a systematic review and case studies in the supply chain
• How Blockchain can impact financial services–The overview, challenges and recommendations from expert interviewee
• How Can FinTech Impact Russia’s Development?
• A review of literature directions regarding the impact of fintech firms on the banking industry
• FinTech in India: An analysis of the impact of telecommunication on financial inclusion
• The impact of fintech innovation on green growth in China: Mediating effect of green finance
• How green FinTech can alleviate the impact of climate change—the case of Switzerland
• An empirical study of the impacts of perceived security and knowledge on continuous intention to use mobile fintech payment services
• The impact of fintech on the sustainability of Islamic accounting and finance education in Malaysia
• Research on Fintech development issues based on embedded cloud computing and big data analysis
• Fintech, digitalisation, and the law applicable to proprietary effects of transactions in securities (tokens): a European perspective
• The Problems of Consumer Protection in Fintech Peer To Peer Lending Business Activities in Indonesia
• Factors affecting continuance intention of FinTech payment among Millennials in Jakarta
• Banks and FinTechs: Friends or foes? What it takes for banks and FinTechs to successfully cooperate
• Effects of fintech on stock return: Evidence from retail banks listed in Indonesia stock exchange
• Fintech and Islamic finance: literature review and research agenda
• The Effect of FinTech on the Financial Institution in Six ASEAN Countries: Fama-French Five-Factor Asset Pricing Model Approach
• Data security and consumer trust in FinTech innovation in Germany
• Factors Affecting consumer acceptance of fintech products and Services in Malaysia
• What makes consumers trust and adopt fintech? An empirical investigation in China
• Toward Fintech Adoption Framework for Developing Countries-A Literature Review Based on the Stakeholder Perspective
• A detailed analysis of cryptography for financial markets
• An analysis of how different regulatory frameworks affect the growth and development of entrepreneurial fintech models in various regions.
• A Comparison of fintech models: peer-to-peer lending, robo-advisors, and blockchain-based solutions in terms of their sustainability, scalability, and impact on financial inclusion.
• The role of user experience (UX) design in shaping the adoption and usage of novel digital payment platforms. 
• The potential of blockchain technology to revolutionise digital payments through decentralised platforms
• The impact of novel digital payment platforms on cross-border transactions and financial inclusion, particularly in underserved regions and developing economies.
• Explore how the adoption and diffusion of complex financial technologies influence socio-economic networks. 

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What is the Importance of Choosing the Correct Fintech Research Topic

When considering the research within the field of fintech, it is important to consider and select a relevant topic carefully. The chosen topic should be engaging and topical, enabling research to be conducted effectively. It is essential that the right decision is made in order to ensure that meaningful results are achieved.

Firstly, when researching within fintech, it is vital to ensure that the selected topic is related to current trends within the sector. When exploring a current trend or development, an understanding can be gained as to how this will impact existing businesses and services, thus beneficial for those researching this field.

Secondly, personal interest must also be taken into account when choosing a research topic; this increases motivation and ensures that data collection remains efficient throughout the project.

By selecting a fintech topic that aligns with current trends and their own interests, students can ensure that they’re getting the most out of their research . The key is to select a project that allows students to explore current topics and those that may become more relevant in the future. Students should also consider what resources they already have access to so they can use them to support their projects.

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FAQs About Fintech Dissertation Ideas

When to choose the fintech dissertation topic.

You can choose a topic when you know you have an interest in it, there is enough information on the internet about it, and it can help others.

How do I choose the most appropriate fintech dissertation topic?

Firstly, ensuring that your topic is relevant to the current trends in financial technology is important. Do some research on what areas of fintech are currently being discussed or explored, and focus your attention on those topics.

Additionally, make sure that your chosen subject has enough information available online or through other sources so you can gather enough data for your paper. It’s also important to choose a title that you find engaging and inspiring – after all, this will be an extensive project you’ll be working on!

Can I use these topics for my dissertation?

Yes, you can use these topics for your dissertation. Depending on the type of research projects you are doing, there is a variety of topics that you can use.

Have other students used these topics already?

Yes, other students might have used these dissertation topics already. If you need unique dissertation topics which haven’t been used before, you can order the dissertation topics service on our website .

Can ResearchProspect provide unique and customised fintech dissertation topics?

Yes, ResearchProspect provides unique and customised fintech dissertation topics.

Can you do a research proposal on my selected topic?

Yes, we can do a research proposal on your selected topic. You can order the research proposal topics service on our website, or you can read about our proposal writing services .

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• How It Works

MSc Financial Technology

The MSc in Financial Technology will provide you with a comprehensive grounding in the various analytical methods of financial technology, or 'FinTech', as well as knowledge of how these methods are utilised in practice in financial markets. The content will combine finance theory with extensive applications through to practical issues using real-world data. The programme includes units addressing the latest technological developments that have transformed many aspects of the finance industry such as big data, artificial intelligence, machine learning, process automation, cryptocurrencies and blockchain, alongside units that cover the underpinning theory and practice of finance.

Artificial intelligence and machine learning are reshaping the financial services sector and are being used across a range of applications including trading, portfolio construction and evaluation, risk management, financial intermediation and corporate finance. You will gain a broad, high-level overview of the impact that technology is having in reshaping many aspects of financial services. You will also develop specific practical skills in programming, statistical analysis and financial modelling, which will enable you to apply these technological innovations in a variety of contexts. This may include algorithmic trading, robo-advising, peer-to-peer lending, mobile payments, crowdfunding and digital currencies.

The teaching will be research-led and undertaken by subject experts, involving a mixture of lectures and small-group tutorials as well as computer lab-based sessions for the completion of data-based case studies and applications. Industry-relevant skills are embedded in the units throughout the programme, which are practical in nature without compromising academic rigour.

On demand academic talks

Hear directly from an academic giving you a deeper insight into this programme.

Programme structure

You will complete 3 compulsory units in term 1. These cover core material in asset pricing, corporate finance, and quantitative techniques for financial analysis with a range of applications. You will also learn about cryptocurrencies and the blockchain. You will develop vital industry skills in the handling and analysis of large and complex datasets, undertaking empirical applications of machine learning techniques using a programming language such as Python.

In term 2, you will further develop your knowledge of financial technology and how it is applied to develop, implement, and evaluate trading strategies. You will also receive further training in quantitative techniques and support for the skills required to successfully conduct empirical research in the area of financial technology. You will choose 1 module from a wide range of options that will enable you to focus on any of the distinct sub-areas of finance in which the impacts of financial technology have become prominent (investment management, corporate finance, and banking).

The dissertation, undertaken over the summer, will allow you to draw on all the material that you have covered in the taught components and will provide you with an opportunity to execute a piece of original research on a topic of your choosing related to finance or financial technology. There may also be the opportunity to conduct your dissertation in partnership with an external organisation on an Applied Project.

Visit our programme catalogue for full details of the structure and unit content for our MSc Financial Technology.

World-leading research

The University of Bristol is ranked fifth for research in the UK ( Times Higher Education ).

94% of our research assessed as world-leading or internationally excellent.

Entry requirements

A strong upper second-class honours degree (65% or higher) or international equivalent in Finance, Economics, Mathematics, Engineering, Physics or Computing. 

If your degree subject is not listed above, you must have evidence of an upper second class honours degree which includes three units of mathematics (see Maths qualification requirements) with 60% or above (or international equivalent) in each unit.

Applicants with a lower class of degree with relevant work experience will be considered on a case-by-case basis. For applicants who are currently completing a degree, we understand that their final grade may be higher than the interim grades or module/unit grades they achieve during their studies.

For applicants who are currently completing a degree, we understand that their final grade may be higher than the interim grades or module/unit grades they achieve during their studies.

We will consider applicants whose interim grades are currently slightly lower than the programme's entry requirements. We may make these applicants an aspirational offer. This offer would be at the standard level, so the applicant would need to achieve the standard entry requirements by the end of their degree. Specific module requirements may still apply.

We will consider applicants whose grades are slightly lower than the programme's entry requirements, if they have at least one of the following:

• evidence of significant (minimum of 2 years in a paid role) relevant work experience in sectors such as Finance, Accounting, Economics, Investment.
• a relevant postgraduate qualification.

If this is the case, applicants should include their CV (curriculum vitae / résumé) when they apply, showing details of their relevant work experience and/or qualifications.

See international equivalent qualifications on the International Office website.

Read the programme admissions statement for important information on entry requirements, the application process and supporting documents required.

If English is not your first language, you will need to reach the requirements outlined in our  profile level G.

Further information about  English language requirements and profile levels .

If your degree subject is not listed in the main entry requirements, you must have evidence of an upper second class honours degree which includes three units of mathematics with 60% or above   (or international equivalent)  in each unit. Examples of acceptable units include:

Advanced Maths (introductory maths does not count towards maths unit requirements)

• Financial Maths
• Business Mathematics
• Business Statistics
• Computer Science (including programming/algorithms)
• Data Mining/Data Science/ Data Analytics
• Derivatives
• Econometrics
• Financial Modelling
• Financial Statement Analysis
• Investment Analysis
• Probability
• Quantitative Methods
• Quantitative Research Methods
• Statistics/Statistical Methods/Statistical Analysis

Fees and funding

Fees are subject to an annual review. For programmes that last longer than one year, please budget for up to an 8% increase in fees each year.

More about tuition fees, living costs and financial support .

Alumni discount

University of Bristol students and graduates can benefit from a 25% reduction in tuition fees for postgraduate study.  Check your eligibility for an alumni discount.

Funding for 2024/25

Further information on funding for prospective UK and international postgraduate students.

Career prospects

The programme will provide a first-rate educational foundation to develop your career in any aspect of the financial services sector with a focus on financial technology. This could be in 'fintechs' themselves, or in more traditional investment management, corporate finance, or banking firms.

Successful graduates from the programme will have a combination of conceptual knowledge in finance, an understanding of financial markets and instruments, and skills in data analysis and programming. These attributes are of considerable demand in the industry given the rapid and continuing growth in this area in recent years and the reported lack of suitably qualified individuals. The programme, and in particular the skills imbued through the dissertation, will also provide an excellent springboard for progression to doctoral study.

How to apply

Apply today via our online application system. For further information, please see the guidance for how to apply on our webpages.

Overseas applicants: 24 July 2024. Home applicants: 9 August 2024.

Please note that due to high demand, some programmes may close earlier than advertised. Early applications are advised to avoid disappointment. Places are limited and allocated on a continuous basis from September 2023 until all places are filled.

Faculty of Social Sciences and Law

University of Bristol Business School

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Essays on financial technologies

Karkkainen, Tatja (2021) Essays on financial technologies. PhD thesis, University of Glasgow.

The four essays contained herein this study focus on recently emerged questions in the field of Financial Technology (FinTech). This new finance domain has a growing importance in the finance discipline, policy, and practice. The FinTech is the common theme, while the thesis is organised to investigate the open questions separately in the essays.

The first essay assesses the required human capital in FinTech. Recent technological developments have enabled a wide array of new applications in financial markets, e.g. big data, cloud computing, artificial intelligence, blockchain, cryptocurrencies, peer-to-peer lending, crowdfunding, and robo-advising, inter alia. While traditionally comprising of computer programs and other technology used to support or enable banking and financial services, the new FinTech is often seen as enabling transformation of the financial industry. A more moderate and critical view suggests that for the full transformative potential of FinTech to be enabled, there is a need for an updated educational curriculum that balances knowledge and understanding of finance and technology. A curriculum that provides a skill portfolio in these two core components and complements them with applied knowledge. This essay also makes an inquiry into the educational curriculum in finance and technology, aiming to inform this modern educational agenda, and into the skills shortages, as identified by firms and experts with examining some of the first educational programmes in FinTech.

The second essay investigates the relationship between financial literacy and attitudes to cryptocurrencies, using microdata from 15 countries. The financial literacy proxy exerts a large negative effect on the probability of currently owning cryptocurrencies. The financially literate are also more likely to be aware of cryptocurrencies, and less to own them due to their price volatility. In addition, data from a second survey of retail investors in three Asian countries is used to externally validify the financial literacy proxy and findings. I show that the relationship between financial literacy and attitudes to cryptocurrencies is moderated by a different perception of the financial risk involved in cryptocurrencies versus traditional investments by the more financially literate. The findings shed light on the demand for cryptocurrencies among the general population and suggest has been largely driven by unsophisticated investors.

The third and fourth essays are closer in their empirical investigation of asset price timeseries data. In the third essay, I assess the bitcoin futures introduction into the retail investor driven marketplace. Bitcoin futures were introduced in December 2017 as an effort to provide institutional and retail investors with additional trading tools for bitcoin. This study analyses the bitcoin Futures mid-quote data from CBOE, and Bitcoin market index applying VAR and VECM process methodologies, Hasbrouck’s information share and the Gonzalo-Granger component share measurement to examine price discovery in bitcoin markets. The results drawn on the intra-day prices show that the futures are leading the price discovery at different frequencies even with comparably low futures trading volumes. The empirical results support the extant literature of futures-spot market price discovery and the role of informed traders in the futures market.

Finally, the fourth essay attempts to evidence the network externalities on digital assets using exchange-listed Initial Coin Offerings (ICOs) data. Utilising an online database comprising of self-reported ICO characteristics, measures of post-ICO performance, along with information on business social networks, higher fundraising figures are found to contribute positively to the ICO long-term success. This positive impact is multiplied by six times when fundraising is conducted to an existing, proprietary blockchain. This large impact is explained by the network effect. The modified information ratio measure is introduced to approximate the comparative quality signalling of ICO organisations using price timeseries and benchmarking these to already functioning blockchain technology, e.g. ethereum in the long-term. The ICO sample’s mean trading period on an exchange is 1.5 years and is used for long-period asset analysis. Additionally, the cointegration to the market technology benchmark is found to have a large, significant negative effect on long-term ICO organisational success as this indicates lower ICO intrinsic value.

The final concluding chapter summarises the thesis contribution, implications and a selection of future research avenues relating to FinTech research sub-field.

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50+ Best Finance Dissertation Topics For Research Students In 2024

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Finance Dissertation Made Easier!

Embarking on your dissertation adventure? Look no further! Choosing the right finance dissertation topics is like laying the foundation for your research journey in finance, and we're here to light up your path. In this article, we will be diving deep into why dissertation topics in finance matter so much. We've got some golden writing tips to share with you! We're also unveiling the secret recipe for structuring a stellar finance dissertation and exploring intriguing topics across various finance sub-fields. Here is a list of finance dissertation topics that will surely set your research spirit on fire!

What is a Finance Dissertation?

Finance dissertations are academic papers that delve into specific finance topics chosen by students, covering areas such as stock markets , banking , risk management , and healthcare finance . These dissertations require extensive research to create a compelling report and contribute to the student's confidence and satisfaction in the field of finance. Now, let's understand why these dissertations are so important and why choosing the right finance dissertation topics is crucial!

Importance of Finance Dissertation Topics

Choosing the dissertation topics for finance students is essential as it will influence the course of one’s research. It determines the direction and scope of your study. You must make sure that the finance dissertation topics you choose are relevant to your field of interest. Here are a few reasons why finance thesis topics are important:

1. Relevance

Opting for relevant finance thesis topics ensures that your research contributes to the existing body of knowledge and addresses contemporary issues in finance. Choosing a dissertation topic relevant to the industry can make a meaningful impact and advance understanding in your chosen area.

2. Personal Interest

Selecting finance dissertation topics that align with your interests and career goals is vital. When genuinely passionate about your research area, you are more likely to stay motivated during the dissertation process. Your interest will drive you to explore the subject thoroughly and produce high-quality work.

3. Future Opportunities

Well-chosen finance dissertation topics can open doors to various future opportunities. They can enhance your employability by showcasing your expertise in a specific finance area . They may also lead to potential research collaborations and invitations to conferences in your field of interest.

4. Academic Supervision

Your choice of topics for dissertation in finance also influences the availability of academic supervisors with expertise in your chosen area. Selecting a well-defined research area increases the likelihood of finding a supervisor to guide you effectively throughout the dissertation . Their knowledge and guidance will greatly contribute to the success of your research.

Writing Tips for Finance Dissertation

Writing a dissertation requires a lot of planning , formatting , and structuring . It starts with deciding on topics for a dissertation in finance, conducting tons of research, deciding on methods, and so on. Below are some tips to assist you along the way, and here is a blog on the 10 tips on writing a dissertation that can give you more information, should you need it!

1. Select a Manageable Topic

It is important to choose finance research topics within the given timeframe and resources. Select a research area that interests you and aligns with your career goals. This will help you stay inspired throughout the dissertation process.

2. Conduct a Thorough Literature Review

A comprehensive literature review forms the backbone of your research. After choosing the finance dissertation topics, dive deep into academic papers , books , and industry reports . Gain a solid understanding of your chosen area to identify research gaps and establish the significance of your study.

3. Define Clear Research Objectives

Clearly define your dissertation's research questions and objectives. It will provide a clear direction for your research and guide your data collection, analysis, and overall structure. Ensure your objectives are specific , measurable , achievable , relevant , and time-bound (SMART).

4. Collect and Analyse Data

Depending on your research methodology and your finance dissertation topics, collect and analyse relevant data to support your findings. It may involve conducting surveys , interviews , experiments , and analysing existing datasets . Choose appropriate statistical techniques and qualitative methods to derive meaningful insights from your data.

5. Structure and Organisation

Pay attention to the structure and organisation of your dissertation. Follow a logical progression of chapters and sections, ensuring that each chapter contributes to the overall coherence of your study. Use headings , subheadings , and clear signposts to guide the reader through your work.

6. Proofread and Edit

Once you have completed the writing process, take the time to proofread and edit your dissertation carefully. Check for clarity , coherence , and proper grammar . Ensure that your arguments are well-supported, and eliminate any inconsistencies or repetitions. Pay attention to formatting, citation styles, and consistency in referencing throughout your dissertation.

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Finance Dissertation Topics

Now that you know what a finance dissertation is and why they are important, it's time to have a look at some of the best finance dissertation topics. For your convenience, we have segregated these topics into categories, including cryptocurrency , risk management , internet banking , and so many more. So, let's dive right in and explore the best finance dissertation topics:

Dissertation Topics in Finance Related to Cryptocurrency

1. The Impact of Regulatory Frameworks on the Volatility and Liquidity of Cryptocurrencies. 2. Exploring the Factors Influencing Cryptocurrency Adoption: A Comparative Study. 3. Assessing the Efficiency and Market Integration of Cryptocurrency Exchanges. 4. An Analysis of the Relationship between Cryptocurrency Prices and Macroeconomic Factors. 5. The Role of Initial Coin Offerings (ICOs) in Financing Startups: Opportunities and Challenges.

Dissertation Topics in Finance Related to Risk Management

1. The Effectiveness of Different Risk Management Strategies in Mitigating Financial Risks in Banking Institutions. 2. The Role of Derivatives in Hedging Financial Risks: A Comparative Study. 3. Analysing the Impact of Risk Management Practices on Firm Performance: A Case Study of a Specific Industry. 4. The Use of Stress Testing in Evaluating Systemic Risk: Lessons from the Global Financial Crisis. 5. Assessing the Relationship between Corporate Governance and Risk Management in Financial Institutions.

Dissertation Topics in Finance Related to Internet Banking

1. Customer Adoption of Internet Banking: An Empirical Study on Factors Influencing Usage. 2. Enhancing Security in Internet Banking: Exploring Biometric Authentication Technologies. 3. The Impact of Mobile Banking Applications on Customer Engagement and Satisfaction. 4. Evaluating the Efficiency and Effectiveness of Internet Banking Services in Emerging Markets. 5. The Role of Social Media in Shaping Customer Perception and Adoption of Internet Banking. 6. Fraud and Identity Theft are Accomplished via Internet Banking.

Dissertation Topics in Finance Related to Microfinance

1. The Impact of Microfinance on Poverty Alleviation: A Comparative Study of Different Models. 2. Exploring the Role of Microfinance in Empowering Women Entrepreneurs. 3. Assessing the Financial Sustainability of Microfinance Institutions in Developing Countries. 4. The Effectiveness of Microfinance in Promoting Rural Development: Evidence from a Specific Region. 5. Analysing the Relationship between Microfinance and Entrepreneurial Success: A Longitudinal Study.

Dissertation Topics in Finance Related to Retail and Commercial Banking

1. The Impact of Digital Transformation on Retail and Commercial Banking: A Case Study of a Specific Bank. 2. Customer Satisfaction and Loyalty in Retail Banking: An Analysis of Service Quality Dimensions. 3. Analysing the Relationship between Bank Branch Expansion and Financial Performance. 4. The Role of Fintech Startups in Disrupting Retail and Commercial Banking: Opportunities and Challenges. 5. Assessing the Impact of Mergers and Acquisitions on the Performance of Retail and Commercial Banks.

Dissertation Topics in Finance Related to Alternative Investment

1. The Performance and Risk Characteristics of Hedge Funds: A Comparative Analysis. 2. Exploring the Role of Private Equity in Financing and Growing Small and Medium-Sized Enterprises. 3. Analysing the Relationship between Real Estate Investments and Portfolio Diversification. 4. The Potential of Impact Investing: Evaluating the Social and Financial Returns. 5. Assessing the Risk-Return Tradeoff in Cryptocurrency Investments: A Comparative Study.

Dissertation Topics in Finance Related to International Affairs

1. The Impact of Exchange Rate Volatility on International Trade: A Case Study of a Specific Industry. 2. Analysing the Effectiveness of Capital Controls in Managing Financial Crises: Comparative Study of Different Countries. 3. The Role of International Financial Institutions in Promoting Economic Development in Developing Countries. 4. Evaluating the Implications of Trade Wars on Global Financial Markets. 5. Assessing the Role of Central Banks in Managing Financial Stability in a Globalised Economy.

Dissertation Topics in Finance Related to Sustainable Finance

1. The Impact of Sustainable Investing on Financial Performance. 2. The Role of Green Bonds in Financing Climate Change Mitigation and Adaptation. 3. The Development of Carbon Markets. 4. The Use of Environmental, Social, and Governance (ESG) Factors in Investment Decision-Making. 5. The Challenges and Opportunities of Sustainable Finance in Emerging Markets.

Dissertation Topics in Finance Related to Investment Banking

1. The Valuation of Distressed Assets. 2. The Pricing of Derivatives. 3. The Risk Management of Financial Institutions. 4. The Regulation of Investment Banks. 5. The Impact of Technology on the Investment Banking Industry.

Dissertation Topics in Finance Related to Actuarial Science

1. The Development of New Actuarial Models for Pricing Insurance Products. 2. The Use of Big Data in Actuarial Analysis. 3. The Impact of Climate Change on Insurance Risk. 4. The Design of Pension Plans That Are Sustainable in the Long Term. 5. The Use of Actuarial Science to Manage Risk in Other Industries, Such as Healthcare and Finance.

Dissertation Topics in Finance Related to Corporate Finance

1. Study the Relations Between Corporate Governance Structures and Financial Performance 2. Testing the Effects of Capital Structure on Firm Performance Across Different Industries 3. Effectiveness of Financial Management Practices in Emerging Markets 4. Integrating Sustainability and CSR Initiatives Impacts a Corporation’s Financial Performance and Enhances its Brand Reputation. 5. A Comparative Study of the Financing Strategies Employed in Mergers and Acquisitions.

Tips To Find Good Finance Dissertation Topics 

Embarking on a journey of dissertation reports on finance topics requires careful consideration of various factors. Your choice of topic in finance research topics is pivotal, as it sets the stage for the entire research process. We suggest the following tips that can help you pick the perfect dissertation topic:

1. Identify your interests and strengths  2. Check for current relevance 3. Feedback from your superiors 4. Finalise the research methods 5. Gather the data 6. Work on the outline of your dissertation 7. Make a draft and proofread it

How To Plan Your Work on a Finance Dissertation?

The students are expected to submit their dissertation by the end of the study course. Students are prone to face a lot of difficulties while working on their dissertation. In such cases, proper planning may be your best bet! Keep in mind that the main aim of writing a dissertation is an opportunity to demonstrate the depths of your research abilities. We are providing you with a short step-by-step guide that will help you plan your work.

1. Choose a topic that interests you 2. Make sure to discuss the same with your supervisor 3. Post-discussion, work on the feedback given by the supervisor 4. Narrow down the research methods that will prove the significance of your chosen topic 5. Gather all the required information from relevant sources 6. Analyse the acquired results after a thorough research 7. Prepare a draft and proofread it 8. Connect with your supervisor/advisor and see if any additions are to be made 9. Make the required edits 10. Prepare the final dissertation

Lastly, we have discussed the importance of finance thesis topics and provided valuable writing tips and tips for finding the right topic. We have also presented a list of thesis topics for finance students within various subfields. With this, we hope you have great ideas for finance dissertations. Good luck with your finance research journey!

Frequently Asked Questions

How do i choose a dissertation topic in finance, what is the best topic for a thesis in finance, where can i find a dissertation topic in finance, what is the recommended length for a finance dissertation, how do you write a dissertation in finance.

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How To Write A Finance Thesis (With Free Topics)

The word “thesis” can evoke a range of emotions in a finance student – excitement, trepidation, and perhaps even a healthy dose of imposter syndrome. This guide is your roadmap to writing a stellar finance thesis. Before reading this, make sure that you know whether you are writing a dissertation or a thesis .

Table of Contents

What Is A Finance Thesis

A finance thesis is an academic document that explores a specific topic within the field of finance in a detailed and comprehensive manner. It is a substantial piece of scholarly work typically required as part of an advanced degree program, such as a master’s or a Ph.D. in finance or a related discipline.

The primary purpose of a finance thesis is to demonstrate the author’s understanding of financial concepts, theories, and methodologies, as well as their ability to conduct original research and contribute new insights to the field.

Structure Of A Finance Thesis

A finance thesis follows a typical research paper format but with an in-depth analysis of each section. Here are the elements that you must include in your finance thesis. 

Introduction   

To captivate your audience from the outset, begin with a compelling hook that sparks interest in your finance thesis. This could be a thought-provoking statistic, a relevant anecdote, or a compelling question. By engaging readers early on, you set the tone for an impactful thesis.

Following the hook, provide a brief but comprehensive overview of the background and context of your finance thesis. Explain the relevance of your chosen topic. This section serves as a foundation for readers, ensuring they understand the context before delving into the specifics of your research.

Introducing The Thesis Statement

The crux of your introduction lies in presenting a clear and concise thesis statement . Articulate the main argument or hypothesis of your finance thesis. Ensure that it is specific, focused, and indicative of the direction your research will take. This roadmap prepares your readers for the journey they are about to embark on throughout the remainder of your thesis.

Literature Review

In the literature review section, write about the existing body of knowledge related to your finance thesis. Provide a comprehensive review of relevant literature, identifying key theories, concepts, and empirical studies. Demonstrate your understanding of the current state of research in your chosen area and highlight any gaps or unresolved questions that your thesis aims to address.

• Identify key academic journals and publications in your field.
• Critically analyze relevant research papers , and understand their methodologies and findings.
• Build upon existing research by identifying gaps or proposing alternative approaches.
• Take meticulous notes and maintain proper citation practices.

Methodology

Clearly articulate the methods and procedures employed in your research. Detail the rationale behind your chosen methodology, whether it involves quantitative or qualitative approaches, surveys, case studies, or a combination. 

By providing a transparent account of your research design, you establish credibility and enable others to replicate or validate your findings.

Present the findings of your research in a systematic and organized manner. Use tables, graphs, and charts to illustrate key data points. Ensure that the results align with your research questions and hypotheses . 

This section should be objective, presenting the outcomes without interpretation or analysis—save that for the next section.

Engage in a critical analysis and interpretation of your results in the discussion section. Relate your findings to the existing literature and theories. Address any unexpected results and explore their implications. 

Consider the limitations of your study and propose avenues for future research. This section is where you showcase your analytical skills and contribute to the scholarly conversation in your field.

Summarize the key points of your thesis, emphasizing the significance of your findings in the broader context of finance research. Revisit your thesis statement and demonstrate how your research has contributed to the understanding of the topic. Leave your readers with a lasting impression and a sense of closure.

Abstract And Acknowledgments

Craft a concise yet informative abstract that provides a snapshot of your entire finance thesis, including the research question, methods, results, and conclusions. In the acknowledgment section, acknowledge the contributions of others who have supported and influenced your research journey. 

Express gratitude for mentorship, guidance, and any financial or logistical assistance received during the thesis process.

The finance homework we write have:

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• High-level Encryption
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Bonus Finance Thesis Tips

• Seek guidance and support: Use your advisor, professors, and peers for feedback and mentorship.
• Manage your time effectively: Prioritize tasks, set realistic deadlines, and avoid procrastination.
• Maintain a healthy work-life balance: Take breaks, exercise, and prioritize your well-being.
• Celebrate your achievements: Recognize your progress, reward yourself for milestones reached, and enjoy the journey!

Free Finance Thesis Topics

Here is a list of free finance thesis topics to help you start your journey. These topics will help you, especially if you are studying at a university in Canada .

• The Role of Financial Education in Improving Personal Financial Management
• Impact of Interest Rate Changes on Investment Decisions
• Evaluating the Effectiveness of Financial Derivatives in Risk Management
• Behavioural Biases in Investment Decision-Making
• Corporate Social Responsibility and Financial Performance: A Meta-Analysis
• The Influence of Credit Rating Agencies on Financial Markets
• Dynamics of Exchange Rates and International Trade: A Comparative Study
• Private Equity Investments and Value Creation in Portfolio Companies
• Assessing the Impact of Regulatory Changes on Banking Sector Stability
• Islamic Finance: Principles and Practices in Contemporary Banking

MBA Finance Thesis Topics

• Mergers and Acquisitions: Evaluating the Financial Performance and Success Factors
• Credit Risk Management in Commercial Banks: A Comparative Analysis
• Financial Innovation and its Impact on Investment Strategies
• Portfolio Management Strategies for Long-Term Wealth Creation
• Analysis of the Relationship between Dividend Policy and Stock Prices
• Financial Distress and Corporate Turnaround Strategies: A Case Study Approach
• Impact of Corporate Governance on Financial Reporting and Transparency
• Real Options Analysis in Capital Budgeting: A Comparative Study
• Role of Microfinance in Promoting Financial Inclusion and Poverty Alleviation
• Hedging Strategies in International Financial Management: A Case Study of Multinational Corporations

Master Thesis Finance Topics

• The Impact of Financial Technology (FinTech) on Investment Strategies
• Analyzing the Efficiency of Financial Markets: A Study of Random Walk Hypothesis
• Venture Capital and Start-up Financing: Trends and Challenges
• Corporate Financial Strategy: An Empirical Analysis of Successful Companies
• The Role of Central Banks in Economic Stability: Lessons from Recent Financial Crises
• Cryptocurrency and Blockchain Technology: Implications for the Financial Industry
• Environmental, Social, and Governance (ESG) Investing: Performance and Trends
• Derivatives and Risk Management: A Comparative Study of Hedging Strategies
• Financial Modeling for Valuation: Techniques and Applications
• Sustainable Finance and Green Investments: Assessing Long-Term Viability

Accounting And Finance Thesis Topics

• The Impact of International Financial Reporting Standards (IFRS) on Corporate Accounting Practices
• Fraud Detection and Prevention in Financial Statements: A Case Study Approach
• Auditor Independence and the Quality of Financial Reporting
• Blockchain Technology in Accounting: Opportunities and Challenges
• Corporate Governance and Financial Reporting Quality: An Empirical Analysis
• Tax Planning Strategies for Multinational Corporations: A Comparative Study
• The Role of Accounting Information in Investment Decision-Making
• Sustainability Reporting: Assessing the Integration of Environmental, Social, and Governance (ESG) Factors
• Financial Statement Analysis for Credit Risk Assessment: A Comparative Study of Industries
• Impact of Accounting Information Systems on Organizational Performance

Banking And Finance Thesis Topics

• The Role of Banking in Economic Development: A Comparative Study
• Analysis of the Impact of Interest Rate Changes on Banks’ Profitability
• Digital Transformation in Banking: Opportunities and Challenges
• Credit Risk Management in Commercial Banks: A Case Study Approach
• Islamic Banking and Finance: Principles and Contemporary Practices
• Financial Inclusion and its Impact on Economic Growth: A Global Perspective
• Regulatory Compliance and Risk Management in the Banking Sector
• The Effectiveness of Central Bank Policies in Controlling Inflation
• Financing Small and Medium Enterprises (SMEs): Challenges and Solutions
• Financial Market Integration and its Implications for Banking Institutions

Corporate Finance Topics For Thesis

• Capital Structure Decisions: An Empirical Analysis of Firm Performance
• Corporate Valuation Methods: A Comparative Study of DCF, Comparable Companies, and Precedent Transactions
• Dividend Policy and its Impact on Shareholder Value
• Financial Distress and Restructuring Strategies: A Case Study Analysis
• Mergers and Acquisitions: Value Creation and Integration Challenges
• The Role of Corporate Governance in Shaping Financial Policies
• IPOs and Firm Performance: A Longitudinal Analysis
• Working Capital Management: Strategies for Efficient Cash Conversion
• Corporate Risk Management: Hedging Strategies and Their Effectiveness
• Financial Fraud in Corporations: Detection and Prevention Measures

Public Finance Thesis Topics

• Government Expenditure and Economic Growth: A Cross-Country Analysis
• Tax Policy and Economic Development: Case Studies from Emerging Economies
• Public-Private Partnerships (PPPs) in Infrastructure Development: Successes and Challenges
• Fiscal Policy and Macroeconomic Stability: An Empirical Investigation
• The Impact of Social Welfare Programs on Poverty Alleviation
• Analysis of Government Debt: Causes, Consequences, and Management Strategies
• Efficiency of Public Sector Budgeting: A Comparative Study
• Environmental Taxation and its Role in Sustainable Development
• Evaluating the Effectiveness of Anti-Corruption Measures in Public Finance
• The Role of Fiscal Federalism in Regional Development: Lessons from Different Countries

Sports Finance Thesis Topics

• Financial Management in Professional Sports Franchises: Challenges and Strategies
• Impact of Sports Sponsorship on Brand Equity and Financial Performance
• Economic Impact of Major Sporting Events: A Case Study Approach
• Player Contract Valuation and Negotiation Strategies in Professional Sports
• Revenue Generation in Sports: Analysis of Ticket Sales, Broadcasting Rights, and Merchandising
• Financial Fair Play Regulations in Football: Implications and Effectiveness
• Investment and Financing in Sports Facilities: Case Studies of Stadium Construction
• Sports Betting and its Economic Impact on Sports Organizations
• Athlete Endorsements and their Influence on Corporate Financial Performance
• Risk Management in Sports Finance: A Comparative Analysis of Leagues and Teams

Sustainable Finance Thesis Topics

• Impact Investing: Evaluating Social and Environmental Returns
• Integration of Environmental, Social, and Governance (ESG) Criteria in Investment Decision-Making
• Green Bonds and Sustainable Capital Markets: Trends and Challenges
• Corporate Social Responsibility Reporting: Assessing Transparency and Accountability
• Climate Finance and its Role in Mitigating Climate Change
• Sustainable Banking Practices: A Comparative Analysis of Global Banks
• The Influence of Sustainability Ratings on Investment Decisions
• Circular Economy and Sustainable Finance: Promoting Resource Efficiency
• Measuring the Social Impact of Microfinance Institutions
• Sustainable Real Estate Investments: Green Building and ESG Considerations

Frequently Asked Questions

What is the best topic for thesis in finance.

The best topic for a finance thesis depends on individual interests and goals, but potential options include behavioural finance, risk management, fintech innovation, sustainable finance, or financial market anomalies. Choose a topic that aligns with your passion and contributes to the field’s knowledge.

How do I choose a dissertation topic for finance?

Choose a finance dissertation topic by identifying your interests, exploring current financial trends, considering gaps in existing literature, consulting with professors or industry professionals, and ensuring the topic aligns with your academic and career goals.

How do you select a research topic in finance?

Select a finance research topic by assessing your interests, identifying gaps in existing literature, staying updated on industry trends, consulting with mentors, and ensuring the topic aligns with your academic and career objectives. Aim for relevance, originality, and contribution to financial knowledge.

What are the finance research topics for MBA?

Finance research topics for an MBA may include investment analysis, financial risk management, behavioural finance, corporate governance, mergers and acquisitions, the impact of financial technology (fintech), sustainable finance, or financial market efficiency. Choose a topic aligned with your interests and career goals.

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Thesis Supervision

Topic selection.

You can apply for a predetermined topic based on the current research agenda of the Institute. We offer a range of qualitative and quantitative topics. You will find currently available topics on bachelor and master level via Moodle .

Alternatively, students at our institute have the possibility to suggest the topic of their bachelor and master thesis themselves. If you already have a specific idea, please contact us with an expose of your own topic, stating relevance of your topic, the underlying research question and methodology. This also applies for potential thesis cooperations with industry partners.

We require the following formalia for students interested in writing their thesis at our institute.

Writing a bachelor thesis with us does require the successful participation of our seminar Topics in Financial Innovation & Technology as well as fulfilling the respective examination regulations.

Formalities

• 8 weeks time

Writing a master thesis with us is not subject to specific formal requirements. However, for empirical work, we recommend at least basic programming knowledge or a strong intrinsic motivation on learning how to program within limited time. We therefore highly recommend participation in our course Financial Data Science.

• 22 weeks time

Contact & Application

Students interested in writing a thesis at our institute are requested to independently familiarize themselves with available topics on bachelor and master level, academic guidelines and formalities via the corresponding Moodle course . Enrollment information for the course is given on the LSF website.

Please complete the request form until the request due date. After the request due date we will get back to you within three weeks considering the status of your application. Please refrain from premature enquiries.

In case of excessive demand, the selection of thesis candidates will be based on subject preferences, your study progress and modules completed at the institute.

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Research Topics & Ideas: Finance

PS – This is just the start…

We know it’s exciting to run through a list of research topics, but please keep in mind that this list is just a starting point . To develop a suitable education-related research topic, you’ll need to identify a clear and convincing research gap , and a viable plan of action to fill that gap.

Overview: Finance Research Topics

• Corporate finance topics
• Investment banking topics
• Private equity & VC
• Asset management
• Hedge funds
• Financial planning & advisory
• Quantitative finance
• Treasury management
• Financial technology (FinTech)
• Commercial banking
• International finance

Corporate Finance

These research topic ideas explore a breadth of issues ranging from the examination of capital structure to the exploration of financial strategies in mergers and acquisitions.

• Evaluating the impact of capital structure on firm performance across different industries
• Assessing the effectiveness of financial management practices in emerging markets
• A comparative analysis of the cost of capital and financial structure in multinational corporations across different regulatory environments
• Examining how integrating sustainability and CSR initiatives affect a corporation’s financial performance and brand reputation
• Analysing how rigorous financial analysis informs strategic decisions and contributes to corporate growth
• Examining the relationship between corporate governance structures and financial performance
• A comparative analysis of financing strategies among mergers and acquisitions
• Evaluating the importance of financial transparency and its impact on investor relations and trust
• Investigating the role of financial flexibility in strategic investment decisions during economic downturns
• Investigating how different dividend policies affect shareholder value and the firm’s financial performance 

Investment Banking

The list below presents a series of research topics exploring the multifaceted dimensions of investment banking, with a particular focus on its evolution following the 2008 financial crisis.

• Analysing the evolution and impact of regulatory frameworks in investment banking post-2008 financial crisis
• Investigating the challenges and opportunities associated with cross-border M&As facilitated by investment banks.
• Evaluating the role of investment banks in facilitating mergers and acquisitions in emerging markets
• Analysing the transformation brought about by digital technologies in the delivery of investment banking services and its effects on efficiency and client satisfaction.
• Evaluating the role of investment banks in promoting sustainable finance and the integration of Environmental, Social, and Governance (ESG) criteria in investment decisions.
• Assessing the impact of technology on the efficiency and effectiveness of investment banking services
• Examining the effectiveness of investment banks in pricing and marketing IPOs, and the subsequent performance of these IPOs in the stock market.
• A comparative analysis of different risk management strategies employed by investment banks
• Examining the relationship between investment banking fees and corporate performance
• A comparative analysis of competitive strategies employed by leading investment banks and their impact on market share and profitability

Private Equity & Venture Capital (VC)

These research topic ideas are centred on venture capital and private equity investments, with a focus on their impact on technological startups, emerging technologies, and broader economic ecosystems.

• Investigating the determinants of successful venture capital investments in tech startups
• Analysing the trends and outcomes of venture capital funding in emerging technologies such as artificial intelligence, blockchain, or clean energy
• Assessing the performance and return on investment of different exit strategies employed by venture capital firms
• Assessing the impact of private equity investments on the financial performance of SMEs
• Analysing the role of venture capital in fostering innovation and entrepreneurship
• Evaluating the exit strategies of private equity firms: A comparative analysis
• Exploring the ethical considerations in private equity and venture capital financing
• Investigating how private equity ownership influences operational efficiency and overall business performance
• Evaluating the effectiveness of corporate governance structures in companies backed by private equity investments
• Examining how the regulatory environment in different regions affects the operations, investments and performance of private equity and venture capital firms

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Asset Management

This list includes a range of research topic ideas focused on asset management, probing into the effectiveness of various strategies, the integration of technology, and the alignment with ethical principles among other key dimensions.

• Analysing the effectiveness of different asset allocation strategies in diverse economic environments
• Analysing the methodologies and effectiveness of performance attribution in asset management firms
• Assessing the impact of environmental, social, and governance (ESG) criteria on fund performance
• Examining the role of robo-advisors in modern asset management
• Evaluating how advancements in technology are reshaping portfolio management strategies within asset management firms
• Evaluating the performance persistence of mutual funds and hedge funds
• Investigating the long-term performance of portfolios managed with ethical or socially responsible investing principles
• Investigating the behavioural biases in individual and institutional investment decisions
• Examining the asset allocation strategies employed by pension funds and their impact on long-term fund performance
• Assessing the operational efficiency of asset management firms and its correlation with fund performance

Hedge Funds

Here we explore research topics related to hedge fund operations and strategies, including their implications on corporate governance, financial market stability, and regulatory compliance among other critical facets.

• Assessing the impact of hedge fund activism on corporate governance and financial performance
• Analysing the effectiveness and implications of market-neutral strategies employed by hedge funds
• Investigating how different fee structures impact the performance and investor attraction to hedge funds
• Evaluating the contribution of hedge funds to financial market liquidity and the implications for market stability
• Analysing the risk-return profile of hedge fund strategies during financial crises
• Evaluating the influence of regulatory changes on hedge fund operations and performance
• Examining the level of transparency and disclosure practices in the hedge fund industry and its impact on investor trust and regulatory compliance
• Assessing the contribution of hedge funds to systemic risk in financial markets, and the effectiveness of regulatory measures in mitigating such risks
• Examining the role of hedge funds in financial market stability
• Investigating the determinants of hedge fund success: A comparative analysis

Financial Planning and Advisory

This list explores various research topic ideas related to financial planning, focusing on the effects of financial literacy, the adoption of digital tools, taxation policies, and the role of financial advisors.

• Evaluating the impact of financial literacy on individual financial planning effectiveness
• Analysing how different taxation policies influence financial planning strategies among individuals and businesses
• Evaluating the effectiveness and user adoption of digital tools in modern financial planning practices
• Investigating the adequacy of long-term financial planning strategies in ensuring retirement security
• Assessing the role of financial education in shaping financial planning behaviour among different demographic groups
• Examining the impact of psychological biases on financial planning and decision-making, and strategies to mitigate these biases
• Assessing the behavioural factors influencing financial planning decisions
• Examining the role of financial advisors in managing retirement savings
• A comparative analysis of traditional versus robo-advisory in financial planning
• Investigating the ethics of financial advisory practices

The following list delves into research topics within the insurance sector, touching on the technological transformations, regulatory shifts, and evolving consumer behaviours among other pivotal aspects.

• Analysing the impact of technology adoption on insurance pricing and risk management
• Analysing the influence of Insurtech innovations on the competitive dynamics and consumer choices in insurance markets
• Investigating the factors affecting consumer behaviour in insurance product selection and the role of digital channels in influencing decisions
• Assessing the effect of regulatory changes on insurance product offerings
• Examining the determinants of insurance penetration in emerging markets
• Evaluating the operational efficiency of claims management processes in insurance companies and its impact on customer satisfaction
• Examining the evolution and effectiveness of risk assessment models used in insurance underwriting and their impact on pricing and coverage
• Evaluating the role of insurance in financial stability and economic development
• Investigating the impact of climate change on insurance models and products
• Exploring the challenges and opportunities in underwriting cyber insurance in the face of evolving cyber threats and regulations

Quantitative Finance

These topic ideas span the development of asset pricing models, evaluation of machine learning algorithms, and the exploration of ethical implications among other pivotal areas.

• Developing and testing new quantitative models for asset pricing
• Analysing the effectiveness and limitations of machine learning algorithms in predicting financial market movements
• Assessing the effectiveness of various risk management techniques in quantitative finance
• Evaluating the advancements in portfolio optimisation techniques and their impact on risk-adjusted returns
• Evaluating the impact of high-frequency trading on market efficiency and stability
• Investigating the influence of algorithmic trading strategies on market efficiency and liquidity
• Examining the risk parity approach in asset allocation and its effectiveness in different market conditions
• Examining the application of machine learning and artificial intelligence in quantitative financial analysis
• Investigating the ethical implications of quantitative financial innovations
• Assessing the profitability and market impact of statistical arbitrage strategies considering different market microstructures

Treasury Management

The following topic ideas explore treasury management, focusing on modernisation through technological advancements, the impact on firm liquidity, and the intertwined relationship with corporate governance among other crucial areas.

• Analysing the impact of treasury management practices on firm liquidity and profitability
• Analysing the role of automation in enhancing operational efficiency and strategic decision-making in treasury management
• Evaluating the effectiveness of various cash management strategies in multinational corporations
• Investigating the potential of blockchain technology in streamlining treasury operations and enhancing transparency
• Examining the role of treasury management in mitigating financial risks
• Evaluating the accuracy and effectiveness of various cash flow forecasting techniques employed in treasury management
• Assessing the impact of technological advancements on treasury management operations
• Examining the effectiveness of different foreign exchange risk management strategies employed by treasury managers in multinational corporations
• Assessing the impact of regulatory compliance requirements on the operational and strategic aspects of treasury management
• Investigating the relationship between treasury management and corporate governance

Financial Technology (FinTech)

The following research topic ideas explore the transformative potential of blockchain, the rise of open banking, and the burgeoning landscape of peer-to-peer lending among other focal areas.

• Evaluating the impact of blockchain technology on financial services
• Investigating the implications of open banking on consumer data privacy and financial services competition
• Assessing the role of FinTech in financial inclusion in emerging markets
• Analysing the role of peer-to-peer lending platforms in promoting financial inclusion and their impact on traditional banking systems
• Examining the cybersecurity challenges faced by FinTech firms and the regulatory measures to ensure data protection and financial stability
• Examining the regulatory challenges and opportunities in the FinTech ecosystem
• Assessing the impact of artificial intelligence on the delivery of financial services, customer experience, and operational efficiency within FinTech firms
• Analysing the adoption and impact of cryptocurrencies on traditional financial systems
• Investigating the determinants of success for FinTech startups

Commercial Banking

These topic ideas span commercial banking, encompassing digital transformation, support for small and medium-sized enterprises (SMEs), and the evolving regulatory and competitive landscape among other key themes.

• Assessing the impact of digital transformation on commercial banking services and competitiveness
• Analysing the impact of digital transformation on customer experience and operational efficiency in commercial banking
• Evaluating the role of commercial banks in supporting small and medium-sized enterprises (SMEs)
• Investigating the effectiveness of credit risk management practices and their impact on bank profitability and financial stability
• Examining the relationship between commercial banking practices and financial stability
• Evaluating the implications of open banking frameworks on the competitive landscape and service innovation in commercial banking
• Assessing how regulatory changes affect lending practices and risk appetite of commercial banks
• Examining how commercial banks are adapting their strategies in response to competition from FinTech firms and changing consumer preferences
• Analysing the impact of regulatory compliance on commercial banking operations
• Investigating the determinants of customer satisfaction and loyalty in commercial banking

International Finance

The folowing research topic ideas are centred around international finance and global economic dynamics, delving into aspects like exchange rate fluctuations, international financial regulations, and the role of international financial institutions among other pivotal areas.

• Analysing the determinants of exchange rate fluctuations and their impact on international trade
• Analysing the influence of global trade agreements on international financial flows and foreign direct investments
• Evaluating the effectiveness of international portfolio diversification strategies in mitigating risks and enhancing returns
• Evaluating the role of international financial institutions in global financial stability
• Investigating the role and implications of offshore financial centres on international financial stability and regulatory harmonisation
• Examining the impact of global financial crises on emerging market economies
• Examining the challenges and regulatory frameworks associated with cross-border banking operations
• Assessing the effectiveness of international financial regulations
• Investigating the challenges and opportunities of cross-border mergers and acquisitions

Choosing A Research Topic

These finance-related research topic ideas are starting points to guide your thinking. They are intentionally very broad and open-ended. By engaging with the currently literature in your field of interest, you’ll be able to narrow down your focus to a specific research gap .

When choosing a topic , you’ll need to take into account its originality, relevance, feasibility, and the resources you have at your disposal. Make sure to align your interest and expertise in the subject with your university program’s specific requirements. Always consult your academic advisor to ensure that your chosen topic not only meets the academic criteria but also provides a valuable contribution to the field. 

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thank you for suggest those topic, I want to ask you about the subjects related to the fintech, can i measure it and how?

Please guide me on selecting research titles

I am doing financial engineering. , can you please help me choose a dissertation topic?

I’m studying Banking and finance (MBA) please guide me on to choose a good research topic.

I am studying finance (MBA) please guide me to choose a good research topic.

I’m studying Master in Islamic Banking and Finance.

Can you suggest a good research topic. Please

I’m doing Masters in Islamic Banking and Finance. Would you kindly suggest a good research topic. Please

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