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Postgraduate study

Course overview

FinTech (financial technology) is an evolving technology which provides innovation and efficiency in the financial services. FinTech includes distributed ledger technology also known as the blockchain, big data and business intelligence.

You explore topics including fundamentals of software for digital innovation, big data and business intelligence, contemporary financial technology, machine learning, blockchain and cryptocurrency. You develop theoretical, technical and critical thinking skills in applying disruptive innovative technologies to financial services.

You gain leading-edge skills, solid programming experience, research expertise and industry experience. There are three routes you can choose from:

  • full-time - 1 year (September start) or 16 months (January start)
  • full-time - 2 years with advanced practice (September and January start)
  • part-time - up to 3 years.
The Advanced Practice route enhances your qualification by adding a vocational or research-based internship to the one-year master’s programme. A vocational internship is a great way to gain work experience and give your CV a competitive edge. A research internship provides you with the opportunity to develop your analytical, research and academic skills by working alongside our artificial intelligence and machine learning research groups. We guarantee a research internship, but cannot guarantee a vocational internship. However we provide you with practical support and advice on how to find and secure your own vocational internship position.


Course details

Course structure

Core modules

Big Data and Business Intelligence

You develop your ability to design and implement database, big data and analytics applications to meet business needs. A case study is used to follow the system development lifecycle. You develop a plausible application from inception to implementation for a real-world scenario.

You investigate the issues and technologies associated with implementing and supporting large scale databases and the services that are needed to maintain and access a repository of data. Investigations are undertaken in a number of areas including big data, data warehouses, integrating legacy data, data management and approaches that support the modelling and visualisation of data for a range of use views.

Blockchain and Cryptocurrency

Blockchain technology is disrupting the financial industry and has many applications in payments, insurance, lending, supply chain, settlement of securities transactions and contract execution. You explore what a blockchain is and how you can create one with simple Python codes. You are introduced to cryptocurrencies and the technical concepts related to financial applications of blockchain.

You study topics related to public and private blockchains, cryptography, cryptocurrencies such as Bitcoin and Ether, smart contracts and applications.

Contemporary Financial Technology

You explore the emergence of the FinTech industry through the lenses of the evolution of financial services technology, customer needs and user experience.

You explore the existing and emerging financial technologies sector, focusing on user needs, particularly the unbanked. You gain knowledge of user experience design for FinTech and use a high-level prototyping platform to develop a new FinTech service in a group.

By the end of the module you will have developed, and critically evaluated a new service and reflected on your contribution.

Digital Entrepreneurship

You gain an introduction to business innovation and entrepreneurial concepts, enabling you to apply inherent analytical skills to business design and realisation to gain the most out of the opportunities offered by the fast-moving world of digital business. You develop an understanding of the benefits and impact of emerging digital technologies as the core engine of digital native start-ups in our society.

Machine Learning

Machine learning is a subfield of computer science concerned with computational techniques rather than performing explicit programmed instructions. You build a model from a task based on observations in order to make predictions about unseen data. Such techniques are useful when the desired output is known but an algorithm is unknown, or when a system needs to adapt to unforeseen circumstances.

You explore statistics and probability theory as the fundamental task is to make inferences from data samples. The contribution from other areas of computer science is also essential for efficient task representation, learning algorithms, and inferences procedures. You gain exposure to a breadth of tasks and techniques in machine learning.

Assessment is an in course assessment (100%).

Masters Project: FinTech

You undertake a major, in-depth, individual study in an aspect of FinTech. Normally the master's project is drawn from commercial, industrial or research-based problem areas. The project involves you researching and investigating aspects of FinTech and then producing a major deliverable (software package or tool, design, research findings.) You also carry out a critical evaluation of your major deliverable, including obtaining third party evaluation where appropriate. Alternatively, you may undertake a research study and report findings in the style of a scholarly article.

Software for Digital Innovation

You gain an introduction to the Python programming language and its application to solving problems in digital innovation. This involves the principles of programming, the syntax and structure of Python, its relevant libraries and modules, and how it is incorporated in existing software tools. You form a solid foundation of producing software solutions to real-world problems.


Advanced practice (2 year full-time MSc only)


The internship options are:

Vocational: spend one semester working full-time in industry or on placement in the University. We have close links with a range of national and international companies who could offer you the chance to develop your knowledge and professional skills in the workplace through an internship. Although we cannot guarantee internships, we will provide you with practical support and advice on how to find and secure your own internship position. A vocational internship is a great way to gain work experience and give your CV a competitive edge.

Research: develop your research and academic skills by undertaking a research internship within the University. Experience working as part of a research team in an academic setting. Ideal for those who are interested in a career in research or academia.


Modules offered may vary.


How you learn

You learn about concepts and methods primarily through keynote lectures, labs and tutorials using case studies and examples. Lectures include presentations from guest speakers from industry. Critical reflection is key to successful problem solving and essential to the creative process. You develop your own reflective practice at an advanced level, then test and assess your solutions against criteria that you develop in the light of your research.

How you are assessed

You are assessed on your subject-specific knowledge, cognitive and intellectual skills and transferable skills applicable to the workplace. The assessments include assignments, tests, case studies, presentations, research proposal and literature review, and the production of a dissertation. The assessments may include individual or group essays or reports. You are also assessed on your presentation skills and report writing where appropriate.


Entry requirements

Normally a first degree (2.2 minimum), or equivalent qualification. Relevant experience may also be considered.

We accept a wide range of first degree subjects, including:

  • computing and IT
  • engineering
  • mathematical sciences
  • business and finance
  • life/physical sciences
  • technology.

For additional information please see our entry requirements

International applicants can find out what qualifications they need by visiting Your Country



Career opportunities

You can expect to find employment in one of the increasing number of sectors needing specialists equipped with the cutting-edge expertise in financial and digital technologies. The course provides you with directly transferable skills for a career in a range of industries in the finance sector, as well as progression opportunities to PhD research.

We create opportunities for you to meet and network with our industry partners through events such as our ExpoSeries. These events enable our students to showcase their work to industry. ExpoTees is the pinnacle of the ExpoSeries with over 100 businesses from across the UK coming to the campus to meet our exceptional students, with a view to recruitment.

Work placement

Students on the two-year full time course take a 60 credit Advanced Practice module


Information for international applicants


International applicants - find out what qualifications you need by selecting your country below.

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Useful information

Visit our international pages for useful information for non-UK students and applicants.

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2020/21 entry

Fee for UK/EU applicants
£6,500 a year

£4,335 a year with advanced practice

More details about our fees

Fee for international applicants
£13,000 a year

£7,500 a year with advanced practice

More details about our fees for international applicants

  • Length: 1 year or 2 years with Advanced Practice
  • Enrolment date: September
  • Semester dates

Apply online (full-time)

Apply online (fast-track) for current students



2020/21 entry

Fee for UK/EU applicants
£722 for each 20 credits

More details about our fees

  • Length: Up to 3 years
  • Attendance: 1 or 2 days a week
  • Enrolment date: September
  • Semester dates

Apply online (part-time)

Apply online (fast-track) for current students


Choose Teesside


Stand out from other job applicants with your higher level qualification, specialist knowledge and expanded networks.



Improve your project management, critical thinking, research skills, time management, presentation skills and teamwork.



The median salary for working-age (16-64) postgraduates in 2018 was £6,000 more than graduates
(DoE Graduate Labour Market Statistics 2018,



Study in our friendly town-centre campus with over £270m recently invested and another £300m over the next 10 years.


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