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Finance Analytics MSc

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The world of finance is changing. With recent advances in technology, huge amounts of data are generated every second on a global scale. Finance professionals of the future will need to harness advanced technologies to process, analyse and ultimately extract key insights to tackle the challenges facing the industry.

With a focus on big data analytics, our Finance Analytics MSc is designed to provide you with rigorous applied training in quantitative and empirical methods in Finance. 

This course is suited to individuals with strong quantitative backgrounds who desire the skills & expertise needed for a range of highly skilled technical professions in finance. You’ll study topics at the cutting edge of the finance industry such as data visualisation, big data, FinTech and robo-trading.

We also offer the fully online Global Finance Analytics MSc, PG Dip if the on-campus course is not suitable for you.

Key benefits

  • Cutting edge topics in finance - You’ll study advanced topics in finance to prepare you for a range of careers in analytics, data & finance, such as big data analytics, robo-trading, FinTech analytics and business risk analytics.
  • A comprehensive industry view - You’ll also study key fundamental financial principles to inform a broader view of the finance industry, including financial econometrics, behavioural finance, corporate finance and risk management.
  • Designed with practitioners, delivered by experts – This course was developed in close collaboration with senior industry practitioners and will allow students to understand how advanced analytics and technologies are utilised by financial firms operating today.
  • Masterclasses – Our ungraded modules & masterclasses allow you to enhance your understanding of financial markets, software & programming and increase the possibility of securing internships in financial firms.

Key information

Application status Open

Duration 1 year

Study mode Full-time

Credit value 180

Course leaders Dr Filippos Papakonstantinou

Further details

Course contact for further information

Course contact form Postgraduate admissions

Faculty King's Business School



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Finance Analytics MSc

Providing you with rigorous applied training in quantitative and empirical methods in Finance

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Course detail


The MSc in Finance Analytics at King’s Business School is designed predominantly for graduates pursuing careers in financial data & analytics, either in large incumbent financial firms or one of the disruptors focused on financial innovation.

You’ll cover the cutting-edge financial principles and technologies utilised in the industry through the following selection of core modules:

Introduction to Analytics in Finance – Become familiar with the industry standard quantitative methods used to analyse financial data.

Principles of Finance – Discover key fundamental topics in finance, including fixed income, asset pricing, equities, derivatives and portfolio management.

Big Data Analytics & Visualisation – Learn state-of-the-art methodologies and explore complex topics in financial analytics, such as high-dimensional regression, model selection and forecasting.

Business Risk Analytics – Study how recent developments in analytics have transformed financial firms’ ability to manage new and complex business risk types.


You will also have the chance to deepen your knowledge in analytics through studying one of the following modules:

Big Data, Text Business & Financial Analytics - Understand the key methods used in machine learning, text analysis, and high dimensional inference, applied to real-world problems in finance.

FinTech Analytics & Robo Trading – Gain a detailed understanding of the FinTech, RegTech & Robo-trading landscape with coverage across all main areas of recent development, including Retail, Commercial and Capital market use-cases.

Conduct Risk Management – Learn how recent advancements in technology can facilitate efficient conduct risk management, against a backdrop of global regulation and the increased digitalisation of financial services.


You will also benefit from our range of optional modules, which will allow you to apply your learnings to wider topics in finance:

Empirical Finance – Compare of the effectiveness of alternative financial theories about stock prices and returns with real world financial data.

Corporate Finance – Learn the methods used to value investments, make corporate financing decisions and evaluate policies corporates undertake to make cash returns or dividend decisions to stakeholders.

Financial Econometrics – Examine the relevant econometric techniques applied to key problems in finance.

Behavioural Finance – Examine the behavioural biases that financial market participants exhibit and study the resulting asset pricing anomalies.

Portfolio Management – Explore investment decision making and learn improved portfolio management techniques, specifically within an investment banking & asset management context.

You’ll also undertake a 15,000 word Research Project (Dissertation), where you will conduct your own in-depth research and apply the knowledge & methods gained from studying our taught modules.

Course purpose

Our MSc in Finance Analytics offers a unique combination of a rigorous academic programme that teaches the recent developments in data analytics and a unique practitioners’ view of how these developments are shaping the practical aspects of finance.

For example, the programme teaches big data methods with applications to risk management, product origination, and trading; text mining techniques with applications to forecasting; automation techniques with applications to robo-advice/trading; and FinTech developments in banking.

Graduates will thus gain knowledge and skills that are highly sought after by financial industry firms, including incumbent large financial institutions as well as disruptor/start-ups focusing on innovation. In addition, given the importance of analytics in a broader context, the course provides skills that can be used across a wide range of industries outside Finance, including e-commerce, hospitality, retail, pharmaceutical, and media.

Student employability is one of the main focuses of the Programme. Firstly, the Programme has been designed in close collaboration with leading financial industry practitioners. Second, active senior finance industry practitioners participate in the teaching of a large proportion of the modules. Third, the Programme offers additional ungraded modules that enhance students’ programming skills as well as their understanding of financial markets.

This course is best suited for students with strong mathematical skills and quantitative backgrounds, such as finance, mathematics, engineering, computer science, and economics.

Ungraded modules

As part of the course, you will also have the chance to take ungraded modules alongside the above modules. These will allow you to gain practical, real world financial skills geared towards maximising your employability once you graduate.

We currently offer ungraded modules in the key programming languages, software and environments for finance, including Matlab, Python, C++, R, VBA and Stata. 


Year 1

Courses are divided into modules. You will normally take modules totalling 180 credits.

Required Modules

You are required to take:

  • Introduction to Big Data Analytics in Finance (15 credits)
  • Principles of Finance (15 credits)
  • Data Analysis and Visualisation (15 credits)
  • Business Risk Analytics (15 credits)
  • Dissertation (60 credits)
Optional Modules

In addition, you are required to take 15 credits from:

  • Big Data and Text Business and Finance Analytics (15 credits)
  • FinTech Analytics and Robo Trading (15 credits)
  • Conduct Risk Management (15 credits)

And you are required to take 45 credits from a range of optional modules that may typically include:

  • Empirical Finance (15 credits)
  • Corporate Finance (15 credits)
  • Financial Econometrics (15 credits)
  • Behavioural Finance (15 credits)
  • Portfolio Management (15 credits)

 King’s College London reviews the modules offered on a regular basis to provide up-to-date, innovative and relevant programmes of study. Therefore, modules offered may change. 

Entry requirements & how to apply

Finance Analytics entry requirements
Minimum requirements

High 2:1


Undergraduate degree with high 2:1 honours (i.e. overall average of at least 65% across all years of study) required in a social or applied science (e.g. finance, economics, management, engineering, applied mathematics, computer science or other relevant subject) or equivalent overseas qualification. Our programme is most suitable if you have some quantitative background in either finance and/or economics or have a degree with some quantitative elements.

In order to meet the academic entry requirements for this programme you should have a minimum high 2:1 undergraduate degree with a final mark of at least 65% or above in the UK marking scheme. If you are still studying you should be achieving an average of at least 65% or above in the UK marking scheme.

Please note: Meeting the minimum requirements for your application to be considered does not guarantee an offer as applications for this programme are very competitive.

International requirements   Visit our admissions webpages to view our International entry requirements.
English Language requirements Band B Visit our admissions webpages to view our English language entry requirements.


Application procedure

Applications must be made online using King’s online application portal apply.kcl.ac.uk and a non-refundable application fee of £100 applies. Your application will be assessed by academic staff in the department; we aim to process all applications within four to six weeks, but during February, March and holiday periods, applications may take longer to process.

Personal statement and supporting information

You will be asked to submit the following documents in order for your application to be considered:

Personal Statement  Yes

A personal statement is required. This can be entered directly into the online application form (maximum 4,000 characters) or uploaded as an attachment to the online application form (maximum 2 pages).

Previous Academic Study Yes A copy (or copies) of your official academic transcript(s), showing the subjects studied and marks obtained. If you have already completed your degree, copies of your official degree certificate will also be required. Applicants with academic documents issued in a language other than English, will need to submit both the original and official translation of their documents.
References Yes One academic reference is required. A professional reference will be accepted if you have completed your qualifications over five years ago. In some cases, we may request an additional reference from you.
Other Optional Applicants may wish to include a CV (Resume) or evidence of professional registration as part of their application

Application closing date

We recommend that you submit your application as soon as possible. Our first application deadline is the 26th March 2021. After this date, the programme will remain open only if places are still available and will be closed as soon as it is full.

For programmes that remain open beyond this date, the final application deadlines for the following fee statuses are listed below:

  • EU or overseas (international) fee status: 30th July 2021
  • Home fee status: 27th August 2021

Please note, you will not be eligible for an application fee refund if you apply after the first application deadline in March, and we are unable to process more offers as places are filled before the final application deadlines above.


Help and support

If you don't have a suitable qualification for direct entry to a UK university, or if English isn't your first language, our academic preparation courses can help you get ready for study in the UK.

Preparation courses

Fees and funding

  • Full time Home fees: £35,500 per year (2021/22)
  • Full time overseas fees: £35,500 per year (2021/22)
  • Part time Home fees: n/a
  • Part time overseas fees: n/a

These tuition fees may be subject to additional increases in subsequent years of study, in line with King’s terms and conditions.


When you receive an offer for this course you will be required to pay a non-refundable deposit to secure your place. The deposit will be credited towards your total fee payment.

The UK deposit is £500.

The INTERNATIONAL deposit is £2,000. 

  • If you receive an offer on or before 31st March, payment is due by 30th April 2021.
  • If you receive an offer between 1st April and 30th June, payment is due within one month of receiving the offer.
  • If you receive an offer between 1st July and 31st July, payment is due within two weeks of receiving the offer.
  • If you receive an offer on or after 1st August, payment is due within one week of receiving the offer.
  • If you receive an offer from late August onwards, payment is due within 2 days of receiving the offer.
  • If you are a current King’s student in receipt of the King's Living Bursary you are not required to pay a deposit to secure your place on the programme. Please note, this will not change the total fees payable for your chosen programme.


We have a number of scholarships available for King’s Business School Master’s students. Please visit our scholarships page for more information.

Additional costs/expenses

In addition to the costs above, you can also expect to pay for: 

  • Books if you choose to buy your own copies 
  • Clothing for optional course related events and competitions 
  • Library fees and fines 
  • Personal photocopies 
  • Printing course handouts 
  • Society membership fees 
  • Stationery 
  • Graduation costs
  • Travel costs for travel around London and between campuses 

Please visit our web pages on fees and funding for more information.

Financial help and support

Visit the fees and funding webpages to find out more about bursaries, scholarships, grants, tuition fees, living expenses, student loans and other financial help available at King's.


Blue box with King's College London rankings. Starting with, 7th in the UK for research quality. Followed by, 6th in the UK for research power. Concluding with, 4th among multi-faculty universities for research Impact. The source is research excellence framework 2014

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