Introduction

Jointly delivered by the University of Aberdeen Business School and School of Natural & Computing Sciences, this programme brings together expertise in mathematics, computer science, finance, and economics to deliver a fully integrated learning experience in Financial Technology.

Study Information

At a Glance

Learning Mode
On Campus Learning
Degree Qualification
MSc
Duration
12 months or 24 months
Study Mode
Full Time or Part Time
Start Month
September
Location of Study
Aberdeen
Subject marketing image

FinTech is a continually growing industry in Scotland, with significant merging of finance and technology, but this also requires a varied skill set to succeed. The MSc Financial Technology offers a rigorous introduction to Python, the dominant programming language in FinTech as well as machine learning and data science. The programme also highlights the inherent risks to the industry such as security breaches and the effects these can have on banks and other financial service providers.

This degree is open to people from any discipline and will provide students with an interdisciplinary learning experience in financial services and technology from experts in their respective fields.

The Business School is internationally recognised and plays a major role in industry through research, and consultancy. Not only will you acquire the business knowledge essential to success, you’ll also develop the crucial characteristics – such as strong communication and interpersonal skills, quantitative knowledge and technical skills – most sought after in the highly competitive global business environment.

The School of Natural & Computing Sciences has a long-standing reputation in Intelligent Systems, with world recognised expertise in areas such as multi-agent systems, natural language generation, knowledge graph and semantic web. The department of Computing Science was ranked 16th in the UK for research intensity (REF, 2014), and 70% of research publications were classified as "internationally leading" or "internationally excellent”.

By bringing together students from both financial and computing backgrounds, students will benefit from a richer experience, learning from their peers and gaining an in-depth understanding of both sectors and how they interconnect.

What You'll Study

Semester 1

Semester 1

Compulsory Courses
Introduction to Programming (CS5076)

15 Credit Points

Students will be exposed to the basic principles of computer programming, e.g. fundamental programming techniques, concepts, algorithms, data structures, and object orientated programming. The course contains lectures where the principles are systematically developed. As the course does not presuppose knowledge of these principles, we start from basic intuitions so that students know the basics of programming as the foundation for their future study.

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Database Systems and Big Data (CS5097)

15 Credit Points

This course will be of interest to anyone who wishes to learn to design and query databases. The course aims to teach the material using case studies from real-world applications. You will develop a critical understanding of the principal theories, principles and concepts, such as modelling techniques used in the design, administration and security of database systems. You will also learn core theoretical concepts such as relational algebra, file organisation and indexing. At the end of this course you will be able to design and build Web and cloud-based databases and have a critical understanding of how database-driven applications operate.

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Discrete Time Models (MX5012)

15 Credit Points

The course is a part of the MSc programme in Financial Mathematics and provides students with the theoretical and practical skills related to discrete time models of financial markets. It introduces basic notions and mathematical methods related to financial markets and it is concerned with mathematical models in discrete time.

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Continuous Time Models (MX5019)

15 Credit Points

This course is a part of the MSc programme in Financial Mathematics. It is concerned with financial mathematical models in continuous time. The main topic is the Black-Scholes-Merton model from both theoretical and practical perspective.

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Semester 2

Semester 2

Compulsory Courses

Advances in Machine Learning in Finance

Applied Econometrics

Financial Crime and Cyber Security

Optional Courses
Empirical Methods in Finance Research (BU5565)

15 Credit Points

This course aims to provide students with the quantitative skills to undertake extended investigation of financial data and assist in financial decision making. It introduces various standard time series techniques such as univariate and multivariate time series modelling, unit root tests, and volatility modelling. Particularly emphasis is on intuitive discussions of the methods, and practical examples and applications are also included.

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Portfolio Analysis (BU5526)

15 Credit Points

This course examines theories and issues relevant to portfolio analysis. Themes include: risk and return; investment motives; the application of modern portfolio theory (including the Capital Asset Pricing Model); information and market efficiency; portfolio analysis and asset pricing; bonds and equities; real estate and derivative markets.

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Financial Analysis and Markets (BU5575)

15 Credit Points

Like football, this course is a game of two halves. The first half is financial analysis and builds your ability to analyse companies and think about the implications of financial performance for investors. We will be using Datastream and Bloomberg software. In the second half we will think about how stock markets work and how they are regulated.

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Semester 3

Semester 3

Compulsory Courses
Financial Mathematics Dissertation (MX5903)

60 Credit Points

This course is a part of the MSc programme in Financial Mathematics. It provides the students with an opportunity to work independently on an interesting individual project and apply the knowledge gained in the other courses in the programme.

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We will endeavour to make all course options available; however, these may be subject to timetabling and other constraints. Please see our InfoHub pages for further information.

How You'll Study

You’ll study in a contemporary university environment and experience innovative teaching methods. You will learn through a combination of theory and practice. A stimulating mix of lectures, tutorials, seminars and case studies.

Learning Methods

  • Group Projects
  • Individual Projects
  • Lectures
  • Research
  • Seminars
  • Tutorials

Assessment Methods

The programme assesses the competency and skills that you will need in the computing and financial world in a number of ways. You will give individual and group presentations, prepare reports, sit assessments, write academic essays and complete the dissertation over the summer period.

Why Study Financial Technology?

  • Cover a wide range of programming languages such as Python, quantitative finance, machine learning, cyber security, and applied econometrics
  • Aberdeen is a financial hub with particular strength in asset management with demand for highly skilled graduates in FinTech
  • Demonstrate critical thinking and interlink its evaluation with creativity   
  • The Business School is ranked in the top 20 for all Business disciplines by the Complete University Guide 2021 
                                                                                                                                                                                                                                                                                            

Entry Requirements

Qualifications

The information below is provided as a guide only and does not guarantee entry to the University of Aberdeen.

This programme is open to graduates from any discipline and does not require computing or finance study to be completed at undergraduate level.

Our minimum entry requirement for this programme is a degree at 2:2 (lower second class) UK Honours level (or a degree from a non-UK institution which is judged by the University to be of equivalent worth).

Please enter your country to view country-specific entry requirements.

English Language Requirements

To study for a Postgraduate Taught degree at the University of Aberdeen it is essential that you can speak, understand, read, and write English fluently. The minimum requirements for this degree are as follows:

IELTS Academic:

OVERALL - 6.5 with: Listening - 5.5; Reading - 5.5; Speaking - 5.5; Writing - 6.0

TOEFL iBT:

OVERALL - 90 with: Listening - 17; Reading - 18; Speaking - 20; Writing - 21

PTE Academic:

OVERALL - 62 with: Listening - 59; Reading - 59; Speaking - 59; Writing - 59

Cambridge English B2 First, C1 Advanced, C2 Proficiency:

OVERALL - 176 with: Listening - 162; Reading - 162; Speaking - 162; Writing - 169

Read more about specific English Language requirements here.

Document Requirements

You will be required to supply the following documentation with your application as proof you meet the entry requirements of this degree programme. If you have not yet completed your current programme of study, then you can still apply and you can provide your Degree Certificate at a later date.

Degree Transcript
a full transcript showing all the subjects you studied and the marks you have achieved in your degree(s) (original & official English translation)
Personal Statement
a detailed personal statement explaining your motivation for this particular programme

Fee Information

Please refer to our InfoHub Tuition Fees page for fee information for this programme, or contact gbs@abdn.ac.uk.

Additional Fee Information

  • In exceptional circumstances there may be additional fees associated with specialist courses, for example field trips. Any additional fees for a course can be found in our Catalogue of Courses.
  • For more information about tuition fees for this programme, including payment plans and our refund policy, please visit our InfoHub Tuition Fees page.

Funding Opportunities

The University of Aberdeen provides an Alumni Discount Scheme:

The University of Aberdeen is very pleased to offer a 20% discount on postgraduate tuition fees for all alumni who have graduated with a degree from the University of Aberdeen. More Information can be found here.

Scholarships

Eligible self-funded international Masters students will receive the Aberdeen Global Scholarship. Visit our Funding Database to find out more and see our full range of scholarships.

Aberdeen Global Scholarship (EU)

The Aberdeen Global Scholarship is open to European Union (EU) students.

This is a £2,000 tuition fee discount available to eligible self-funded Postgraduate Masters students who are classed as International fee status and are domiciled in the EU, plus another £3,000 discount for eligible Postgraduate Masters students who would have previously been eligible for Home fees (Scottish/EU) fee status.

View Aberdeen Global Scholarship

Careers

The MSc Financial Technology programme positions graduates for a variety of exciting FinTech career pathways with practical skills and expertise in mathematics, computer science, finance, and economics.

This programme provides you with the technical and analytical skills needed to successfully adapt to wide-range of situations in the ever-changing world of computing and finance. Some become software developers, business analysts, consultants, data scientists, or follow other roles.

Our Experts

Programme Leader
Dr Jiafu An

Information About Staff Changes

You will be taught by a range of experts including professors, lecturers, teaching fellows and postgraduate tutors. Staff changes will occur from time to time; please see our InfoHub pages for further information.

Get in Touch

Contact Details

Address
Business School
University of Aberdeen
MacRobert Building
King Street
Aberdeen
AB24 3FX