Course summary
Overview Master the use of financial technology as you prepare for a career in the changing field of finance. FinTech is changing the way financial institutions provide services, and how individuals and firms use these services. This Master’s course explores the development of financial technology, its use in forensic analysis, and its application in digitalised business processes to help prepare you for your career in FinTech. On the course you'll explore fundamental principles and emerging trends in forensic technology and economics, develop your understanding of how financial markets work, and uncover key theories for our digital economy. You'll access our University Bloomberg suites, where you'll use industry-standard analytical tools and software throughout the course to build the skills you'll use in the workforce. You'll graduate ready for a range of careers across the technologically driven finance sector, and be able to demonstrate your skills and experience with tools that analyse and visualise financial data. Course highlights
- Use industry-standard Bloomberg terminals to monitor and analyse financial market data movements
- Investigate emerging trends in forensic technology and economics
- Learn how FinTech is developed and used in forensic analysis
- Build your finance and business knowledge, with a focus on financial technology
- Learn from staff with experience in industry
- to study full time
- to study over 12 months if you start this course in September
- to study for 13 months if you start this course in January
- lectures
- seminars
- tutorials
- workshops
Modules
Core modules include:
- Research Methods and Dissertation (45 credits)
- Corporate Finance (15 credits)
- Corporate Governance and Ethics (15 credits)
- Data Analysis and Visualisation (15 credits)
- Financial Technology: Macro Perspectives (15 credits)
- Financial Technology: Micro Perspectives (15 credits)
- Innovation Dynamics and Data Science (15 credits)
- International Banking: Efficiency, Competition and Regulation (15 credits)
- Statistics and Data Modelling I (15 credits)
- Behavioural Finance (15 credits)
Assessment method
You'll be assessed through:
- exams
- coursework
- reports
- presentations
Professional bodies
Professionally accredited courses provide industry-wide recognition of the quality of your qualification.
- Association to Advance Collegiate Schools of Business
Entry requirements
A second-class honours degree in a relevant or related subject, which includes some element of statistics or quantitative methods, or equivalent professional experience and/or qualifications.
English language requirements
Test | Grade | Additional details |
---|---|---|
IELTS (Academic) | 6.5 | English language proficiency at a minimum of IELTS band 6.5 with no component score below 6.0. |
PTE Academic | 65 | An overall score of 65 with a minimum of 62 in each skill. |
TOEFL (iBT) | 91 | 91 with a minimum of 20 in Reading, 19 in Listening, 21 in Speaking and 20 in Writing. |
Cambridge English Advanced | Cambridge English: Advanced (CAE) (taken after January 2015). An overall score of 176 with no component score less than 169. | |
Cambridge English Proficiency | Cambridge English: Proficiency (CPE) (taken after January 2015). An overall score of 176 with no component score less than 169. | |
Trinity ISE | Trinity College Integrated Skills in English (ISE) Level III with a Pass in all 4 components. |
Fees and funding
Tuition fees
EU | £12600 | Year 1 |
England | £12600 | Year 1 |
Northern Ireland | £12600 | Year 1 |
Scotland | £12600 | Year 1 |
Wales | £12600 | Year 1 |
Channel Islands | £12600 | Year 1 |
Republic of Ireland | £12600 | Year 1 |
International | £17900 | Year 1 |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
University of Portsmouth
University House
Winston Churchill Avenue
Portsmouth
PO1 2UP