SA Global Education

United KingdomPostgraduateComputer & Technology

MSc Business Analytics and AI

Imperial College London, London

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Overview

A one-year Imperial Business School Masters in data-driven decision making, with training in predictive, prescriptive and AI-based decision models. It targets graduates with a quantitative background, including calculus, probability, statistics and linear algebra.

Highlights

  • Data Structures and Algorithms
  • Data Wrangling and Visualisation
  • Machine Learning
  • Statistics and Econometrics

Entry requirements

Academic
First or Upper Second Class Honours (or international equivalent) in a quantitative subject such as Computer Science, Engineering, Mathematics, Statistics, Physics or quantitative economics, with advanced calculus, probability, statistics and linear algebra. GMAT or GRE not required.
English language
IELTS Academic 7.0 overall, at least 6.5 in every element. TOEFL iBT 100 overall with at least 22 in each section (tests before 21 January 2026) or 5.0 overall with at least 5.0 in each element (tests after that date). Duolingo English Test 125 overall, no band below 115. PTE Academic is not stated.
Experience or portfolio
Not required; candidates typically have no more than three years of work experience.
Applicants from Pakistan
Imperial accepted qualifications page for postgraduate study: a four year Bachelor's degree awarded from 2016 onwards by a university funded by the Higher Education Commission, with a final overall mark of 75% or better; selectors may ask for a higher mark from some institutions. Older Bachelor's degrees normally also need a Master's. Source

Careers

Class of 2025 figures on the page: 97% accepted an offer within six months of graduation, 35% in finance and 22% in technology.

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