Students
Tuition Fee
GBP 30,950
Per year
Start Date
2026-01-01
Medium of studying
On campus
Duration
1 years
Details
Program Details
Degree
Masters
Major
Finance | Artificial Intelligence | Data Analytics
Area of study
Business and Administration | Information and Communication Technologies
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 30,950
Intakes
Program start dateApplication deadline
2025-10-01-
2026-01-01-
2026-10-01-
About Program

Program Overview


Introduction to the MSc Digital Finance and Artificial Intelligence

The MSc Digital Finance and Artificial Intelligence is a postgraduate program offered by Loughborough University London, designed to equip students with the skills and knowledge required to harness the transformative potential of artificial intelligence (AI) and digital technologies in the financial sector.


Qualification(s) Available

  • MSc

Fees

  • Dependent on start date.
  • See below for specific fee details.

Scholarships Available

  • Yes, various scholarships are available to help with funding.

Entry Requirements

  • 2:2+ honors degree (or equivalent international qualification)
  • Open to all discipline backgrounds, no computing background required.

Full-time and Part-time Study Options

  • Full-time: 1 year
  • Part-time: Up to 4 years

Location

  • London

Start Date

  • October 2025, January 2026, or October 2026

Department

  • Institute for Digital Technologies

Program Overview

The MSc Digital Finance and Artificial Intelligence program is designed to provide students with a comprehensive understanding of finance in the digital age, as well as applied skills in AI and data analytics. The program explores real-world challenges and scenarios, enabling students to develop creative responses to these challenges.


What You'll Study

  • Finance Principles (15 credits)
  • Programming Fundamentals (15 credits)
  • Principles of Artificial Intelligence and Data Analytics (15 credits)
  • Grand Challenges (15 credits)
  • Financial Technologies (15 credits)
  • Advanced Programming and Data Visualisation (15 credits)
  • Dissertation (60 credits)
  • Optional modules:
    • Information Systems Security (15 credits)
    • Data Analytics Tools in Digital Economy (15 credits)
    • Collaborative Project (15 credits)
    • Statistical Methods in Finance (15 credits)
    • Cloud applications and services (15 credits)
    • Game Technologies and Advanced 3D Environments (15 credits)

How You'll Be Assessed

  • Essays and reports of varying lengths
  • Presentations
  • Projects
  • Exams

How You'll Study

  • Lectures
  • Seminars
  • Tutorials
  • Independent study
  • Group work
  • Supervision
  • Workshops
  • Practical sessions
  • Access to online material

Where You'll Study

  • Based on the vibrant London campus, with access to all on-site facilities and opportunities for learning off-campus.

Entry Requirements for International Students

  • Country-specific requirements are listed, with equivalent qualifications and grades required for entry.

English Language Requirements

  • Applicants must meet the minimum English language requirements, with further details available on the International website.

Fees and Funding

  • Fees for the academic year:
    • UK fee: £13,250 (full-time degree per annum)
    • International fee: £30,950 (full-time degree per annum)
  • Fees for the academic year:
    • UK fee: £13,700 (full-time degree per annum)
    • International fee: £31,900 (full-time degree per annum)
  • Scholarships and bursaries are available to help with funding.

Your Development

  • The program is designed to provide students with the skills and qualities required to progress confidently in their AI and data analytics career.
  • By the end of the program, students will be able to:
    • Understand key principles of finance and financial technology.
    • Employ the fundamental building blocks of AI.
    • Understand how Digital Finance and AI can address grand societal challenges.
    • Innovate and lead in the fields of Digital Finance and AI.

Our Academics

  • The program is taught by leading academics, including:
    • Dr. Zhichao Ma
    • Dr. Courtney N. Reed
    • Professor Dermot Hodson
    • Dr. Varuna De Silva

Your Future Career

  • The program is designed to meet the growing demand worldwide for graduates who can harness the transformative potential of AI, blockchain, mobile banking, and open APIs in the financial sector.
  • Graduates will have the skills required to develop the next generation of financial services.

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  • Design and Artificial Intelligence MSc
  • Management and Artificial Intelligence MSc
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