How to apply

Overview

The details

Course: Financial Data Analytics

Start date: October 2025

Study mode: Full-time

Duration: 1 year

Location: Colchester Campus

Based in: Essex Business School

If you want to explore how big data streams influence financial and statistical modelling on a daily basis and gain an understanding on how data from social networks and search engine analytics can change how an investment matures, MSc Finance and Data Analytics is for you.

The finance and investments sector needs practitioners who have a fundamental understanding of financial markets who can also apply statistical modelling in the context of the growing, and increasingly complex, data available to financial firms.

This course is perfect for those with an interest in big data and data analysis who want to work in specialist roles within the finance and investments sector.

MSc Finance and Data Analytics prepares you for the financial services industry by equipping you with the quantitative, statistical and technical skills needed in a world powered by big data.

You master areas including:

big data
portfolio analysis
financial modelling
data analytics
trading global markets

The University of Essex is uniquely placed to offer a Masters in Finance and Data Analytics. The University is home to the ESRC Business and Local Government Data Research Centre, which helps local authorities and businesses across the UK to leverage data more effectively, as well as the UK Data Service who provide access to quality economic and social data to organisations across the UK.

Studying MSc Finance and Data Analytics at Essex Business School, where this course is taught, means that you have access to some of the most unique financial research in the UK, supported by these two large big data centres of excellence.

Our virtual trading floor ensures you gain practical experience of using industry-standard terminals and real-world business information.

Discover our trading floor:

Why we're great.

Our Financial Market Labs give you access to market-leading Bloomberg business data so you can test your financial models.
The perfect course if you have an interest in big data and data analysis and want to work in specialist roles within the finance and investment sector.
Hear from guest speakers from industry to advance your professional knowledge.

Our expert staff

Finance research at Essex Business School is world-leading in a number of areas, including:

banking
corporate finance
behavioural finance
financial econometrics
forecasting
commodities markets

Our expert finance researchers work alongside the financial industry, regulators and policy-makers both in the UK (for example at the Royal Bank of Scotland and the Bank of England) and internationally (such as the European Central Bank, the Federal Reserve and the Bank for International Settlements). This ensures their research is having a genuine impact on people's everyday lives.

You'll be taught by this team of experts, including Dr Thanos Verousis. Thanos is a Reader in Finance at Essex Business School and specialises in the study of financial markets and market microstructure with a particular focus on understanding investor behaviour in the context of exchange market structures.

His work has appeared in journals such as the Journal of Banking and Finance, the Journal of Futures Markets and the Journal of International Financial Markets, Institutions and Money. He has received funding from a large UK bank and the ESRC and has acted as an expert witness in a legal case on financial regulation. Thanos makes extensive use of his industry connections to invite a range of guest speakers into his modules; he recently published two blog posts outlining why this is such a beneficial approach for his students:

All our finance researchers are members of the Essex Finance Centre (EFiC), our research centre that promotes internationally renowned, high-quality academic research in areas such as asset pricing, banking, behavioural finance and financial modelling.

Finance academics are also members of the Essex Centre for Macro and Financial Econometrics, our interdisciplinary research centre established in partnership with the world-class Economics Department at Essex. The Centre aims to conduct and publish world-leading research in macro and financial econometrics.

The Centres run regular seminars that are open to all postgraduate students and which offer an opportunity for you to hear the very latest research and developments in the finance sector.

Specialist facilities

MSc Finance and Data Analytics is based at our Colchester Campus.

You'll be studying at Essex Business School, home to the first zero carbon business school in the UK – demonstrating our sustainable approach to business first-hand. Set around a lush winter garden, with shared spaces to encourage collaborative working, you'll find a wealth of inspiring teaching and study zones:

a virtual trading floor with Bloomberg Financial Market Labs, where you'll gain hands-on experience and learn how to model financial data in a practical setting
learn in modern lecture theatres with ‘listen again' recording to aid your study
dynamic blended learning provision for uninterrupted study and engaging online lectures with virtual guest speakers
utilise study booths in our winter garden and versatile break out areas for group working throughout the building
study skills support provided by the Essex Business School Learning Team
networking opportunities with visiting businesses and careers events
Bonds café and adjacent foyer to enjoy on-site fresh food and drink

You'll also benefit from fantastic University facilities located close by, including our state-of-the-art Silberrad Student Centre, complete with an open-access 24-hour Learning Hub and a cutting-edge media centre. You benefit from access to a wide range of specialised banking and finance databases, textbooks and e-books and can book appointments with our subject librarian.

Essex Business School students also have access to quantitative analysis software, such as MatLab, Stata and Eviews which can be accessed remotely and from all university computer labs.

Our building is located on the Knowledge Gateway, home to some of the region's most exciting enterprises in the science, technology and creative sectors. The Knowledge Gateway provides potential networking and career opportunities for students directly on campus.

Your future

MSc Finance and Data Analytics provides you with the foundations for a rewarding career in finance and business analytics, equipping you with the skills to lead at a global level.

Our graduates can analyse complex data and use this to make effective business decisions. Many work for global employers and dynamic SMEs in financial analysis, management, public administration and accountancy, such as:

KPMG
Grant Thornton LLP
Inter-American Development Bank
European Central Bank
HP, hardware company
Groupon, a global e-commerce marketplace
Capital Markets Intelligence, a financial publisher
Credit Data Research, a business funder

Our Student Support team work closely with the University's Employability and Careers service to help you with careers information and advice and CV support. They will help you find work experience, internships, placements and voluntary opportunities and provide access to employer talks on campus. We also work closely with the Essex Startups team to support our budding entrepreneurs get their business ideas off the ground.

“I decided to study at Essex Business School because of the data analytics part of the course. I wanted to learn how to invest and the best way to price assets, but I also wanted to learn ways of harnessing modern big data in finance and using it to make it work for me. Big data is the new kid on the block and MSc Finance and Data Analytics taught me ways of befriending and handling this kid. Not only did we learn theory, but we also got the chance to get into a lab and learn everything first-hand. The Bloomberg suite located in the business school gave me first-hand experience of how trading in the real world looks and we also learnt different programming languages that taught us how to handle finance data and get information out of it. I still make use of everything I learnt whilst at Essex even today.”

Laone Maphane, MSc Finance and Data Analytics

Entry requirements

UK entry requirements

A 2:2 degree, or international equivalent, in one of the following subjects (with no module requirements):

Computer Science
Economics
Engineering
Finance
Mathematics
Natural Science
Data Analysis
Statistics

We will also consider applicants with any other 2:2 degree, or international equivalent, with a pass in any ONE of the following modules:

Banking (Financial Intermediaries, Financial Markets)
Economics (e.g. Macroeconomics, Microeconomics)
Finance and/or Investments (e.g. Asset Pricing, Behavioural Finance, Corporate Finance, Derivatives, Options and Futures, Portfolio Analysis, Risk Management, Securities)
Quantitative methods (e.g. Data Analytics, Econometrics, Financial Modelling, Statistics)

We will also consider applicants who hold a CFA Institute Programme Level One, Two or Three (pass or above).

Applicants from any other background will be considered on a case by case basis, dependent on the content of their undergraduate degree and at least one year of relevant work experience in the field of economics, finance, banking, investment, financial engineering, risk management entrepreneurship, accounting or quantitative analysis (please include your CV with your application).

International & EU entry requirements

We accept a wide range of qualifications from applicants studying in the EU and other countries. Get in touch with any questions you may have about the qualifications we accept. Remember to tell us about the qualifications you have already completed or are currently taking.

Sorry, the entry requirements for the country that you have selected are not available here. Please contact our Graduate Admissions team at pgquery@essex.ac.uk to request the entry requirements for this country.

English language requirements

If English is not your first language, we require IELTS 6.5 overall with a minimum component score of 5.5.

If you do not meet our IELTS requirements then you may be able to complete a pre-sessional English pathway that enables you to start your course without retaking IELTS.

Additional Notes

The University uses academic selection criteria to determine an applicant’s ability to successfully complete a course at the University of Essex. Where appropriate, we may ask for specific information relating to previous modules studied or work experience.

Structure

Course structure

We offer a flexible course structure with a mixture of core/compulsory modules, and optional modules chosen from lists. Please be aware that we are planning changes to our first year to make it more relevant to your chosen course.

Our research-led teaching is continually evolving to address the latest challenges and breakthroughs in the field. The following modules are based on the current course structure and may change in response to new curriculum developments and innovation.

We understand that deciding where and what to study is a very important decision for you. We'll make all reasonable efforts to provide you with the courses, services and facilities as described on our website and in line with your contract with us. However, if we need to make material changes, for example due to significant disruption, we'll let our applicants and students know as soon as possible.

Components and modules explained

Components

Components are the blocks of study that make up your course. A component may have a set module which you must study, or a number of modules from which you can choose.

Each component has a status and carries a certain number of credits towards your qualification.

Status	What this means
Core	You must take the set module for this component and you must pass. No failure can be permitted.
Core with Options	You can choose which module to study from the available options for this component but you must pass. No failure can be permitted.
Compulsory	You must take the set module for this component. There may be limited opportunities to continue on the course/be eligible for the qualification if you fail.
Compulsory with Options	You can choose which module to study from the available options for this component. There may be limited opportunities to continue on the course/be eligible for the qualification if you fail.
Optional	You can choose which module to study from the available options for this component. There may be limited opportunities to continue on the course/be eligible for the qualification if you fail.

The modules that are available for you to choose for each component will depend on several factors, including which modules you have chosen for other components, which modules you have completed in previous years of your course, and which term the module is taught in.

Modules

Modules are the individual units of study for your course. Each module has its own set of learning outcomes and assessment criteria and also carries a certain number of credits.

In most cases you will study one module per component, but in some cases you may need to study more than one module. For example, a 30-credit component may comprise of either one 30-credit module, or two 15-credit modules, depending on the options available.

Modules may be taught at different times of the year and by a different department or school to the one your course is primarily based in. You can find this information from the module code. For example, the module code HR100-4-FY means:

100

The department or school the module will be taught by.

In this example, the module would be taught by the Department of History.

The module number.

The UK academic level of the module.

A standard undergraduate course will comprise of level 4, 5 and 6 modules - increasing as you progress through the course.

A standard postgraduate taught course will comprise of level 7 modules.

A postgraduate research degree is a level 8 qualification.

The term the module will be taught in.

AU: Autumn term
SP: Spring term
SU: Summer term
FY: Full year
AP: Autumn and Spring terms
PS: Spring and Summer terms
AS: Autumn and Summer terms

COMPONENT 01: CORE

Dissertation

(40 CREDITS)

Your dissertation is the culmination of your Masters programme, where you apply the knowledge gained on your course to produce a 10,000 word independent piece of work. You generate an original idea, analyse literature and current knowledge and produce a coherent argument that shows your ability to relate theory to practice. Your dissertation will help you develop vital skills for the workplace, as well as the ability to analyse real problems through an academic lens. You're assigned a supervisor for the duration of your project.

View Dissertation on our Module Directory

COMPONENT 02: CORE

Research Methods in Finance

(20 CREDITS)

This module equips you with the econometric tools and necessary experience to conduct empirical research in finance. You review statistical and basic econometric models and learn to apply econometric techniques in finance by considering topics such as (G)ARCH models, unit roots and cointegration.

View Research Methods in Finance on our Module Directory

COMPONENT 03: CORE

Big Data in Finance

(20 CREDITS)

Big data - where datasets are so large they cannot be processed using traditional techniques – is useful to financial organisations. This module explores how to analyse big data and covers areas such as predictive analytics, risk modelling and corporate finance. You also learn about the application of data analytics in high frequency finance, fraud and personal finance.

View Big Data in Finance on our Module Directory

COMPONENT 04: COMPULSORY

Portfolio Management

(20 CREDITS)

Understand the process of portfolio management. You cover the main concepts such as efficient diversification, managing risk exposures, and the valuation of financial assets that are at the core of managing investment portfolios, and pay special attention to the practicalities of the implementation of these concepts.

View Portfolio Management on our Module Directory

COMPONENT 05: COMPULSORY

Financial Time Series: Methods and Applications

(20 CREDITS)

This course will provide you with a thorough grounding in both the theory and practice of time series econometrics with applications to topics relevant to finance. This knowledge, along with training in industry standard computing software, will be highly beneficial to students undertaking further study or wishing to work in the financial sector.

View Financial Time Series: Methods and Applications on our Module Directory

COMPONENT 06: COMPULSORY

Data Analysis: Cross Sectional, Panel and Qualitative Data Methods

(20 CREDITS)

This module provides you with an understanding of non-time-series data analytic approaches in finance. It covers methods for cross-sectional, panel and qualitative analysis and their applications whereby all topics are illustrated with relevant examples. Cross-sectional data are organised over individual groups (eg households, firms or countries) and have no time dimension. They may include discontinuous data (eg binary), qualitative or categorical data and are essentially non-numerical. Examples include: survey responses, textual analysis of social media or interviews. Panel data or longitudinal data are multi-dimensional data streams involving measurements over time. As such, panel data consists of researcher's observations of numerous phenomena that were collected over several time periods for the same group of units or entities. For example, a panel data set may be one that follows a given sample of individuals over time and records observations or information on each individual in the sample. The nature and advantages of panel data has led to numerous applications in finance and economics research.

View Data Analysis: Cross Sectional, Panel and Qualitative Data Methods on our Module Directory

COMPONENT 07: OPTIONAL

(40 CREDITS)

COMPONENT 08: COMPULSORY

Postgraduate Mathematics Preparation

(0 CREDITS)

This module covers topics in mathematics that are required in Masters-level finance courses at the University of Essex. You focus on the basics of linear algebra, differential calculus including optimisation and dynamics.

View Postgraduate Mathematics Preparation on our Module Directory

Teaching

Tailor the content of your course to more closely fit your interests and aspirations
Optional modules will enable you to gain in-depth specialisation and understanding across several banking and finance topics
Courses focus on practical applications and links with industry
Our postgraduate students can attend conferences and seminars on campus and beyond

Assessment

Regular assessment is by coursework, presentations, case studies, group work, tests and examinations

Dissertation

You will undertake an individually supervised research project that involves the in-depth study of a specific finance problem or issue

Fees and funding

Home/UK fee

£15,000

International fee

£23,500

Masters fees and funding information

Research (e.g. PhD) fees and funding information

What's next

We hold Open Days for all our applicants throughout the year. Our Colchester Campus events are a great way to find out more about studying at Essex, and give you the chance to:

tour our campus and accommodation
find out answers to your questions about our courses, student finance, graduate employability, student support and more
meet our students and staff

If the dates of our organised events aren’t suitable for you, feel free to get in touch by emailing tours@essex.ac.uk and we’ll arrange an individual campus tour for you.

You can apply for this postgraduate course online. Before you apply, please check our information about necessary documents that we'll ask you to provide as part of your application.

We aim to respond to applications within two weeks. If we are able to offer you a place, you will be contacted via email.

For information on our deadline to apply for this course, please see our ‘how to apply' information.

A sunny day with banners flying on Colchester Campus Square 4.

Set within 200 acres of award-winning parkland - Wivenhoe Park and located two miles from the historic city centre of Colchester – England's oldest recorded development. Our Colchester Campus is also easily reached from London and Stansted Airport in under one hour.

Find out more

View from Square 2 outside the Rab Butler Building looking towards Square 3

If you live too far away to come to Essex (or have a busy lifestyle), no problem. Our 360 degree virtual tour allows you to explore the Colchester Campus from the comfort of your home. Check out our accommodation options, facilities and social spaces.

At Essex we pride ourselves on being a welcoming and inclusive student community. We offer a wide range of support to individuals and groups of student members who may have specific requirements, interests or responsibilities.

Find out more

The University makes every effort to ensure that this information on its programme specification is accurate and up-to-date. Exceptionally it can be necessary to make changes, for example to courses, facilities or fees. Examples of such reasons might include, but are not limited to: strikes, other industrial action, staff illness, severe weather, fire, civil commotion, riot, invasion, terrorist attack or threat of terrorist attack (whether declared or not), natural disaster, restrictions imposed by government or public authorities, epidemic or pandemic disease, failure of public utilities or transport systems or the withdrawal/reduction of funding. Changes to courses may for example consist of variations to the content and method of delivery of programmes, courses and other services, to discontinue programmes, courses and other services and to merge or combine programmes or courses. The University will endeavour to keep such changes to a minimum, and will also keep students informed appropriately by updating our programme specifications. The University would inform and engage with you if your course was to be discontinued, and would provide you with options, where appropriate, in line with our Compensation and Refund Policy.

The full Procedures, Rules and Regulations of the University governing how it operates are set out in the Charter, Statutes and Ordinances and in the University Regulations, Policy and Procedures.