Postgraduate

MSc Finance with Data Analytics

The MSc Finance and Data Analytics equips you with advanced financial knowledge and cutting-edge data analytics skills to stay ahead in today’s data-driven finance industry.

Postgraduate

MSc Finance with Data Analytics

The MSc Finance and Data Analytics equips you with advanced financial knowledge and cutting-edge data analytics skills to stay ahead in today’s data-driven finance industry.

Award

MSc

Duration

One year

Study mode

Full-time

Tuition fees

UK Fees: £16,275

International and EU Fees: £16,275

Starting dates

September, January, May

School

Business and Creative Industries

Award

MSc

Duration

One year

Study mode

Full-time

Tuition fees

UK Fees: £16,275

International and EU Fees: £16,275

Starting dates

September, January, May

School

Business and Creative Industries

Introduction

Course overview

MSc Finance with Data Analytics is designed for graduates who want to develop advanced knowledge of finance, financial management and data analytics.

The course combines financial theory with analytical techniques, helping you develop an understanding of how organisations use financial data to support decision-making, manage risk and identify opportunities for growth. You’ll explore how data-driven insights can be used to solve complex financial problems and support strategic business decisions.

During the course, you’ll:

Develop an understanding of core concepts in finance and financial management
Learn how to use data analysis and econometric tools to interpret and forecast financial outcomes
Apply data-driven insights to solve complex financial challenges
Develop critical thinking, research and analytical skills for professional practice
Gain practical experience using industry-standard software and data visualisation tools
Complete an independent Research Project in Finance

The course is designed to develop financial, analytical and problem-solving skills that may be relevant across a wide range of finance, investment and data-focused careers.

Programme Information

Course structure

To achieve an MSc Finance with Data Analytics, you’ll study 180 credits, including taught modules and a 60-credit research project.

Core modules

Corporate Finance 20 credits
Explore how organisations make investment and financing decisions, and develop an understanding of financial strategies that support business performance and growth.
Financial Risk Management 20 credits
Learn how organisations identify, assess and manage financial risks, and explore techniques used to support effective financial decision-making.
Investment Analysis and Portfolio Management 20 credits
Develop an understanding of investment principles, portfolio construction and asset management, and examine how investors evaluate financial opportunities.
Data Analysis for Finance 20 credits
Learn how financial data is collected, analysed and interpreted to support forecasting, performance measurement and strategic decision-making.
Data Visualisation and Business Intelligence 20 credits
Explore techniques for presenting and communicating data insights, and learn how business intelligence tools support financial analysis and reporting.
Research Project in Finance and Data Analytics 60 credits
This module enables students to conduct independent research on a finance topic of their choice, applying advanced data analytics, econometric, and statistical techniques using industry-standard tools to analyse and solve complex financial problems.

Optional modules

Choose one of the following modules:

Strategic financial management and modelling 20 credits
Develop practical skills in financial modelling, forecasting and strategic financial decision-making within a business context.
Money, banking, and the financial system 20 credits
Explore the role of banking systems, financial institutions and financial markets within national and international economies.

Teaching and Assessment

Teaching is delivered through a combination of:

Lectures
Tutorials
Workshops
Case studies
Practical finance and data analysis activities
Individual and group learning
Independent study

You’ll be encouraged to review learning materials and resources before scheduled teaching sessions. Weekly classes combine lectures with tutorial and workshop activities that help you apply your learning in practice.

Throughout the course, you’ll develop skills in finance, financial management, data analysis and business decision-making using industry-relevant software and analytical tools.

Assessment methods vary between modules and may include:

Coursework
Financial analysis reports
Case studies
Presentations
Data analysis projects
Class tests
Examinations
Research assignments

The course concludes with a Research Project in Finance, allowing you to investigate a finance-related topic in greater depth and apply the knowledge and skills developed throughout your studies.

Admissions

Entry requirements

Academic entry requirements

We welcome applications from UK and international students.

You should normally hold one of the following:

An ordinary degree or equivalent qualification in a related subject from a recognised institution
A postgraduate qualification from a recognised institution
A relevant professional qualification accepted by the University, such as ACCA, CIMA or an equivalent professional body qualification
A recognised pre-master's qualification

We may also consider applicants with relevant professional experience and alternative qualifications on an individual basis.

If your qualification is not listed, please contact an Admissions adviser for guidance on your eligibility to apply.

English language requirements

For applicants whose first language is not English:

IELTS: Overall score of 6.0 with no element below 5.5

Or equivalent UKVI-recognised English language qualification

For detailed information on English language entry requirements for international students, including accepted alternative qualifications and possible exemptions, please visit our English Language Requirements page.

Tuition Fees and Scholarships

Fees and funding

UK Students

£16,275

per year (2026/27)

Student loans and payment plans available

International and EU

£16,275

per year (2026/27)

Payment plans available

International scholarships available

Eligible international students can receive a £3,275 scholarship towards their tuition fees for the September 2026 intake.

Option 1: To secure your place at the University, 75% of your tuition fees must be paid before your CAS is issued. The remaining 25% must be paid before the start of your second term.
Option 2: Students applying from certain countries may be required to pay 100% of their tuition fees upfront and in full before enrolment.
No early payment discount will apply. For further information, please contact an Admissions adviser.

What could my future career look like?

Career prospects

Finance and data analytics skills are increasingly important across banking, financial services, investment management, consulting and corporate organisations.

This course is designed to develop financial, analytical and research skills that may be relevant to a range of finance and data-focused roles.

Examples of roles where these skills may be applied include:

Financial Analyst
Investment Analyst
Risk Analyst
Portfolio Analyst
Business Intelligence Analyst
Data Analyst
Financial Planning Analyst
Research Analyst
Finance Consultant

The knowledge and skills developed during the course may also support progression to professional qualifications and further academic study.

Course Leader

Dr Attahir Abubakar

MSc Finance with Data Analytics

Support

Frequently asked questions

Who is this postgraduate course suitable for?

This course is suitable for graduates and professionals looking to develop advanced knowledge, improve career prospects or specialise in a particular subject area.

What are the entry requirements for postgraduate study?

Applicants are normally expected to hold an undergraduate degree or equivalent qualification. Some courses may also consider relevant professional experience.

Can I study this course as an international student?

Yes, UWS London welcomes postgraduate students from across the world and provides support with applications, enrolment and settling into student life in London.

How long does a postgraduate course usually take to complete?

Most postgraduate taught courses can be completed in one year when studied full-time, although course lengths may vary depending on the programme.

What support is available during my studies?

Students can access academic guidance, careers support, wellbeing services and additional student support throughout their time at UWS London.

Introduction

Course overview

MSc Finance with Data Analytics is designed for graduates who want to develop advanced knowledge of finance, financial management and data analytics.

During the course, you’ll:

Develop an understanding of core concepts in finance and financial management
Learn how to use data analysis and econometric tools to interpret and forecast financial outcomes
Apply data-driven insights to solve complex financial challenges
Develop critical thinking, research and analytical skills for professional practice
Gain practical experience using industry-standard software and data visualisation tools
Complete an independent Research Project in Finance

The course is designed to develop financial, analytical and problem-solving skills that may be relevant across a wide range of finance, investment and data-focused careers.

Programme Information

Course structure

To achieve an MSc Finance with Data Analytics, you’ll study 180 credits, including taught modules and a 60-credit research project.

Core modules

Corporate Finance 20 credits
Explore how organisations make investment and financing decisions, and develop an understanding of financial strategies that support business performance and growth.
Financial Risk Management 20 credits
Learn how organisations identify, assess and manage financial risks, and explore techniques used to support effective financial decision-making.
Investment Analysis and Portfolio Management 20 credits
Develop an understanding of investment principles, portfolio construction and asset management, and examine how investors evaluate financial opportunities.
Data Analysis for Finance 20 credits
Learn how financial data is collected, analysed and interpreted to support forecasting, performance measurement and strategic decision-making.
Data Visualisation and Business Intelligence 20 credits
Explore techniques for presenting and communicating data insights, and learn how business intelligence tools support financial analysis and reporting.
Research Project in Finance and Data Analytics 60 credits
This module enables students to conduct independent research on a finance topic of their choice, applying advanced data analytics, econometric, and statistical techniques using industry-standard tools to analyse and solve complex financial problems.

Optional modules

Choose one of the following modules:

Strategic financial management and modelling 20 credits
Develop practical skills in financial modelling, forecasting and strategic financial decision-making within a business context.
Money, banking, and the financial system 20 credits
Explore the role of banking systems, financial institutions and financial markets within national and international economies.

Teaching and Assessment

Teaching is delivered through a combination of:

Lectures
Tutorials
Workshops
Case studies
Practical finance and data analysis activities
Individual and group learning
Independent study

Throughout the course, you’ll develop skills in finance, financial management, data analysis and business decision-making using industry-relevant software and analytical tools.

Assessment methods vary between modules and may include:

Coursework
Financial analysis reports
Case studies
Presentations
Data analysis projects
Class tests
Examinations
Research assignments

The course concludes with a Research Project in Finance, allowing you to investigate a finance-related topic in greater depth and apply the knowledge and skills developed throughout your studies.

Admissions

Entry requirements

Academic entry requirements

We welcome applications from UK and international students.

You should normally hold one of the following:

An ordinary degree or equivalent qualification in a related subject from a recognised institution
A postgraduate qualification from a recognised institution
A relevant professional qualification accepted by the University, such as ACCA, CIMA or an equivalent professional body qualification
A recognised pre-master's qualification

We may also consider applicants with relevant professional experience and alternative qualifications on an individual basis.

If your qualification is not listed, please contact an Admissions adviser for guidance on your eligibility to apply.

English language requirements

For applicants whose first language is not English:

IELTS: Overall score of 6.0 with no element below 5.5

Or equivalent UKVI-recognised English language qualification

Tuition Fees and Scholarships

Fees and funding

UK Students

£16,275

per year (2026/27)

Student loans and payment plans available

International and EU

£16,275

per year (2026/27)

Payment plans available

International scholarships available

Eligible international students can receive a £3,275 scholarship towards their tuition fees for the September 2026 intake.

Option 1: To secure your place at the University, 75% of your tuition fees must be paid before your CAS is issued. The remaining 25% must be paid before the start of your second term.
Option 2: Students applying from certain countries may be required to pay 100% of their tuition fees upfront and in full before enrolment.
No early payment discount will apply. For further information, please contact an Admissions adviser.

What could my future career look like?

Career prospects

Finance and data analytics skills are increasingly important across banking, financial services, investment management, consulting and corporate organisations.

This course is designed to develop financial, analytical and research skills that may be relevant to a range of finance and data-focused roles.

Examples of roles where these skills may be applied include:

Financial Analyst
Investment Analyst
Risk Analyst
Portfolio Analyst
Business Intelligence Analyst
Data Analyst
Financial Planning Analyst
Research Analyst
Finance Consultant

The knowledge and skills developed during the course may also support progression to professional qualifications and further academic study.

Ready to apply?

Start your application today and take the first step towards an exciting career.

Key dates

Final enquiry deadline

Tuesday 30 June

Course start date

Monday 7 September

Need help?

Our admissions team is here to answer any questions you may have.

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MSc Finance with Data Analytics

MSc Finance with Data Analytics

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Tuition fees

Starting dates

School

Award

Duration

Study mode

Tuition fees

Starting dates

School

Course Menu

Course overview

Course structure

Core modules

Optional modules

Teaching and Assessment

Entry requirements

Academic entry requirements

English language requirements

Fees and funding

UK Students

International and EU

International scholarships available

Career prospects

Course Leader

Frequently asked questions

Course overview

Course structure

Core modules

Optional modules

Teaching and Assessment

Entry requirements

Academic entry requirements

English language requirements

Fees and funding

UK Students

International and EU

International scholarships available

Career prospects

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