Imperial MSc Business Analytics Admissions: 2027 Entry Guide

What is the Imperial MSc Business Analytics & AI?

The Imperial MSc Business Analytics & AI is taught full-time at South Kensington and White City. It trains you to turn data into business decisions, and suits future data scientists, analytics consultants and business analysts.

The core covers Machine Learning, Deep Learning and Generative AI, Optimisation and Decision Models, Statistics and Econometrics, and database technologies. You work in Python, R and SQL, then choose electives such as Financial Analytics or Text Analysis for Business, and finish with a capstone, a consulting project and a work placement or research report.

The Class of 2027 has 151 students from 34 nationalities, 52% of them women. Engineering and technology graduates make up 45%, with economics and business at 17% each. In the QS 2026 business analytics ranking, the programme placed 9th in the world.

What are the Imperial Business Analytics requirements?

• Degree: a first or upper second-class honours degree in a quantitative discipline such as computer science, engineering, maths, statistics, physics or quantitative economics.
• Maths: advanced calculus, probability, statistics and linear algebra, listed in a quantitative experience statement. You should also take Imperial's online maths test.
• Coding: prior experience or interest in programming adds weight.
• GMAT or GRE: not required, but highly recommended if your background is less quantitative. If you submit one, Imperial looks for a 90th percentile score.
• Experience: not required. Imperial usually looks for no more than three years, with more considered case by case.
• English: IELTS Academic 7.0 with 6.5 in each element, or an accepted equivalent.

Application process and Imperial Business Analytics deadlines

You submit a CV, transcripts, two referees and three essays: career plans (350 words), why Imperial and how you will contribute (500 words), and a time you embodied one of Imperial's values (500 words). Shortlisted applicants record an online video interview.

Imperial Business Analytics deadlines for 2027 entry are 29 September 2026, 6 January 2027, 10 March 2027 and 28 April 2027, each with a decision deadline about seven to eight weeks later. Round 1 has passed, so target Round 2. Check the MSc Business Analytics & AI admissions page for updates.

Imperial Business Analytics fees and employment

Imperial Business Analytics fees are £51,000 for 2027 entry, with a £7,000 deposit after an offer. Fees change each year and exclude living costs.

Imperial Business Analytics employment data for the Class of 2025 shows 97% accepted an offer within six months and 67% work in the UK. Graduates went into finance (35%), technology (22%) and consulting (20%), at employers including Amazon, Google, HSBC, J.P. Morgan and Mastercard. The programme's careers page does not list an average salary.

How to stand out in Imperial MSc Business Analytics admissions

• Show code, not just interest. A short project on GitHub says more than a list of courses.
• Prepare for the maths test by revising linear algebra and probability.
• Name a target role in your career essay, such as data scientist in fintech.
• Connect data to business. Show you can explain results to non-technical managers.

Prefer a broader business degree? Compare Imperial MiM admissions, or read our Imperial Business School overview.

Frequently asked questions

Does Imperial offer a Master in Analytics and Management (MAM)?

No. Imperial has no programme with that name. The Imperial analytics master that fits this search is the MSc Business Analytics & AI, a one-year programme that combines machine learning, optimisation and AI with business application. Applicants wanting more management and less coding should also look at the MSc in Management.

Do I need to know how to code to apply?

Not formally, but it helps. Modules use Python, R and SQL from the start, and Imperial says coding experience or interest adds weight. If you have little coding background, complete a recognised online course and build one small project before you apply, and mention both.