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MSc Banking and Digital Finance

  • DeadlineStudy Details:

    MSc 1 year full-time

Course Description

The programme focuses on the major practical and theoretical applications in banking and the most innovative aspects of digital finance. The programme emphasises the analytical foundation of finance and financial products, focusing on theory and methods and making extensive use of relevant practical applications.

The primary objective of our Banking and Digital Finance MSc is to provide students with the tools and skills to gain an in-depth understanding of the finance and banking industry. The programme is highly applied and the teaching is research-driven, allowing our students to gain access to the most innovative aspects of digital finance.

Who this course is for

We encourage applications from prospective students with a background in an appropriate subject such as finance, banking, computer science, mathematics, economics or other quantitative disciplines. Knowledge of mathematical methods and introductory probability and statistics is also required. Applicants must show an interest in creative thinking and problem-solving skills.

Entry Requirements

A minimum of an upper second-class Bachelor’s degree in an appropriate subject such as Computer Science, Mathematics, Economics or other highly numerate disciplines. Knowledge of mathematical methods and introductory probability and statistics is also required. Applicants must show an interest in developing thinking and problem-solving skills.

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Fees

For fees and funding options, please visit website to find out more

Student Destinations

Once they enter professional practice, graduates from this programme will be able to demonstrate knowledge, understanding and skills in the following areas:

  • analytical aspects of banking and financial markets
  • interpretation and analysis of data and big data
  • banking products and operations
  • blockchain and crypto economics
  • artificial intelligence and machine learning

The best performing students from this programme are offered the opportunity to win internships with leading banking and finance firms. Student hopefuls receive mentoring, interview practice and comprehensive feedback on their performance, to support their opportunities and progression in the employment market.

Module Details

Compulsory modules

  • Introduction to Banking
  • Finance and Artificial Intelligence
  • Big Data in Quantitative Finance
  • Financial Analytics and Machine Learning
  • Corporate Financial Strategy and Capital Structure
  • Risk Analysis and Quantitative Asset Allocation
  • Decentralised Finance and Blockchain
  • Dissertation
  • Asset Pricing

Please note that the list of modules given here is indicative. This information is published a long time in advance of enrolment and module content and availability is subject to change.

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