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Masters in Finance and Financial Technology (FinTech)

Masters in Finance and Financial Technology (FinTech)

Different course options

Full time | ICMA Centre | 12 months | 30-SEP-24

Study mode

Full time

Duration

12 months

Start date

30-SEP-24

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Financial Services Finance / Accounting (General) Technology

Course type

Taught

Course Summary

Overview

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.

The advances in financial technology have brought about transformational changes in many branches of the finance industry. The introduction of blockchain technology and digital currencies have created a revolution in payment systems. It has also generated widespread disintermediation via peer-to-peer lending and crowdfunding for firms, and online stockbroking and robo-advisory services for individual investors. Many of these innovations are based on the processing of large amounts of data (or “Big Data”) via 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.

Continuing your career

Fintech brings together Finance and Technology. Through this course, you could find yourself working in exciting fintech start-ups or established banks. You can work in related organisations such as consultancies and regulators. You can also specialise in the technology side delivering new software and handling big data and machine learning algorithms. Alternatively, you can work on the finance side to win business, set up deals and deliver essential financial services to clients.

If you want to stay and work locally, London is not only a global finance hub but also a global fintech hub. It has a lively start-up scene and hundreds of mid-sized fintechs as well as major banks and asset managers. The ICMA Centre is a pioneer in finance education and renowned for its strong links with the financial services industry. If you plan to work elsewhere, acquiring this master’s qualification will impress potential employers.

Modules

In this module you will be introduced to Python, a programming language that has become an industry standard and is widely used to produce innovative financial products and services. Common applications include big data analysis and manipulation, algorithmic trading, portfolio analysis, and machine learning algorithms. Students who complete this course will be able to write programming functions in Python, process data files including reading, modifying and writing data to external files. Specifically, students will be able to read and write to Excel, CSV and Text files, connect to databases, obtain and process data from the Web, as well as use Python for Finance and Econometrics applications including developing event based trading strategies and back testing with historical data. By the end of the module students are expected to produce a simple Python application to solve real world financial problems. No prior programming experience is required.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£15,300

International fees
Course fees for EU and international students

For this course (per year)

£27,500

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.