United KingdomPostgraduateAccounting & Finance

MSc Digital Finance and Data Analytics

Nottingham Trent University, Nottingham

Overview

A one-year full-time master's at City Campus combining financial markets, programming and data analytics for finance, financial technology, empirical finance and machine learning in finance, with a consultancy project.

Highlights

  • Global Financial Markets
  • Principles of FinTech
  • Principles of Machine Learning in Finance
  • Consultancy Experience Project (core or optional status not shown)

Entry requirements

Academic
An undergraduate degree equivalent to a UK honours degree at 2.2 or above with some evidence of quantitative ability, one academic reference and demonstrated commitment to the subject.
English language
Not given on the course page. General page for Nottingham Business School 1-year Masters (Student visa): IELTS Academic 6.5 overall with at least 5.5 in each component. PTE Academic 62 with no element below 59. Duolingo is not accepted.
Applicants from Pakistan
Pakistan page, four-year bachelor's for postgraduate entry: CGPA 2.5 for courses requiring a 2:2 and 2.9 for courses requiring a 2:1 (scale not stated). Graduates of NUST, Quaid-i-Azam University or LUMS: 2.3 for a 2:2 and 2.7 for a 2:1. University of the Punjab: 50% for a 2:2 and 55% for a 2:1. Described as guidelines only. Source

Working after you graduate

Bachelor's and master's graduates on a Student visa may apply in the UK for the Graduate visa: two years if applying by 31 December 2026, or 18 months if applying on or after 1 January 2027.

Checked on 10 October 2026. Official source.

Scholarships for this course