Course summary
In the MSc Finance and FinTech programme, you will specialise in digital banking and payment systems, Python programming and finance applications of machine learning algorithms. In this MSc course, you will gain an in-depth understanding of big data in finance and insurance. You will also learn about emerging technologies including blockchain and cryptocurrencies. Through trading simulations, you will learn about securities, futures and options and algorithmic trading. In this MSc programme, you'll also explore FinTech regulation and the challenges posed by data protection and cyber security. You will have the opportunity to complete the KNIME Level 1 Certification and develop your proficiency in the open source platform for data driven innovation. The MSc Finance and Financial Technology (FinTech) is affiliated with the CFA Institute. This is in recognition that this degree covers at least 70% of the CFA Program Candidate Body of Knowledge, the CFA Institute Ethical and Professional Standards, and other requirements. For more information, please visit the programme page: https://www.icmacentre.ac.uk/study/masters/msc-finance-and-financial-technology-fintech
Modules
Sample modules may include:
- Digital Banking, Payment Systems and Financial Markets
- Econometric Analysis for Finance
- Programming for Finance
- Blockchain, Cryptocurrencies and Applications
- AI and Data Analytics in Business
Qualified teacher status (QTS)
To work as a teacher at a state school in England or Wales, you will need to achieve qualified teacher status (QTS). This is offered on this course for the following level:
- Course does not award QTS
Entry requirements
Entry requirements: Undergraduate Degree – Minimum 2:1 or the equivalent from an overseas institution.* Degree Discipline – Any degree discipline, but must have a satisfactory level of numeracy and have basic knowledge of Mathematics and Statistics. Building Blocks of Maths and Stats for Finance course – We may ask you to complete and pass the free online 2-week Building Blocks of Maths and Stats for Finance course developed by the ICMA Centre on the FutureLearn platform, if we think it is appropriate in your individual case. For example, if you have been out of education for more than a few years or have little evidence of any numerical ability. * Please note that due to increasing competition for places on our master's programmes our entry requirements may change. We operate a rolling admissions system and you are therefore advised to apply early in order to be sure of your place on our programmes. We experience high levels of demand, and it is possible we might have to close applications to some programmes once places are filled. English language requirements: IELTS - 6.5 with no component below 6.0 in any sub-skills. IELTS with pre-sessional English - 6.5 with no component below 5.5 in each of the four sub-skills
Fees and funding
Tuition fees
| England | £15500 | Whole course |
| Northern Ireland | £15500 | Whole course |
| Scotland | £15500 | Whole course |
| Wales | £15500 | Whole course |
| Channel Islands | £15500 | Whole course |
| Republic of Ireland | £15500 | Whole course |
| EU | £28500 | Whole course |
| International | £28500 | Whole course |
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
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
University of Reading
Whiteknights House
PO Box 217
Reading
RG6 6AH