MSc Finance and Financial Technology (FinTech) 12 months Postgraduate Programme By University of Reading |TopUniversities

MSc Finance and Financial Technology (FinTech)

Programme Duration

12 monthsProgramme duration

Tuitionfee

28,500 GBPTuition Fee/year

Main Subject Area

FinanceMain Subject Area

Programme overview

Main Subject

Finance

Degree

MSc

Study Level

Masters

Study Mode

On Campus

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 and 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. Through this course students will specialise in digital banking and payment systems, Python programming and finance applications of machine learning algorithms. Students will also gain an in-depth understanding of big data in finance and insurance, along with emerging technologies including blockchain and cryptocurrencies. Through trading simulations, students will learn about securities, futures and options and algorithmic trading. The programme will also explore FinTech regulation and the challenges posed by data protection and cyber security. 

Programme overview

Main Subject

Finance

Degree

MSc

Study Level

Masters

Study Mode

On Campus

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 and 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. Through this course students will specialise in digital banking and payment systems, Python programming and finance applications of machine learning algorithms. Students will also gain an in-depth understanding of big data in finance and insurance, along with emerging technologies including blockchain and cryptocurrencies. Through trading simulations, students will learn about securities, futures and options and algorithmic trading. The programme will also explore FinTech regulation and the challenges posed by data protection and cyber security. 

Admission Requirements

3.3+
88+
6.5+

Minimum 2:1 or the equivalent from an overseas institution. Any degree discipline, but must have a satisfactory level of numeracy and have basic knowledge of Mathematics and Statistics. We may ask you to submit a GMAT score if we think it 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.

1 Year
Jan
Sep

Domestic
15,500 GBP
International
28,500 GBP

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

More programmes from the university

MLaw arrows

MLaw UG program

Go to Programme ::type_cta_button::

Postgrad Programmes 517