A 2:1 in five named subjects
The minimum academic requirement is a 2:1 in statistics, mathematics, engineering, physics or computer science.
Master's · Imperial Mathematics
Imperial MSc Statistics (Data Science and Machine Learning): statistical theory first
Imperial's MSc Statistics (Data Science and Machine Learning) is a one-year, full-time stream of the MSc Statistics, delivered by the Department of Mathematics, starting in October 2027. Its page asks for a 2:1 in statistics, mathematics, engineering, physics or computer science, but says nearly all successful applicants hold a First and that those outside the mathematical sciences have substantive knowledge of theoretical mathematics. There is no interview, and Round 2 closes on 6 January 2027.
2027-28 entry · Official information
What Imperial asks for in Imperial MSc Statistics (Data Science and Machine Learning)
Taken from the Imperial College London postgraduate taught course page for the MSc Statistics (Data Science and Machine Learning) stream and read on 2 November 2026. The page describes 2027-28 entry; confirm every date and rule on the page before you rely on it.
In practice, a First
The page says nearly all successful applicants hold a First Class degree in an eligible undergraduate degree, and all successful applicants outside the mathematical sciences have substantive knowledge and experience in theoretical mathematical topics.
No interview
The department does not interview applicants for entry to this programme.
Five core modules
Applied Statistics, Computational Statistics and Machine Learning, Fundamentals of Statistical Inference, Probability for Statistics and Data Science.
Rounds 2 to 4
Round 2 closes on Wednesday 6 January 2027, Round 3 on Wednesday 10 March 2027 and Round 4 on Wednesday 28 April 2027. The page recommends applying early.
One of several statistics streams
The page lists the stream as one of the MSc Statistics streams at Imperial, alongside the generic stream and others.
Official sources
Read on 2 November 2026 on the Imperial College London postgraduate taught course page for the MSc Statistics (Data Science and Machine Learning) stream, which describes 2027-28 entry. The English-language score table, the accepted international qualifications, the optional-module descriptions, the other Statistics streams' pages, the fee and funding pages and the admissions website were not read and are not stated.
Fit
Which statistics stream
The page lists several MSc Statistics streams, so the stream choice is a decision of its own. The readings below mix Imperial's wording with Avandy's judgment, and the labels say which is which.
This stream
It explores a wide range of statistical methods used in data science and machine learning, and ends in an independent investigation in an area of data science.
Other streams
The page names the generic Statistics stream, Applied Statistics and further streams. Compare them before choosing, since the page presents them as alternatives.
Graduates outside mathematics and statistics
Engineering, physics and computer science are named. The page adds that all successful applicants outside the mathematical sciences have substantive knowledge and experience in theoretical mathematical topics, so document your theory modules.
Decision
A statistics course with data science methods
The core mixes probability and inference with computational methods and data science.
Core and options
Five core modules, and optional modules chosen at least three from Group A and the remainder from Group B, totalling 25 to 27.5 ECTS. The page says availability is subject to change.
Entry reality
The 2:1 is the stated minimum, but the page says nearly all successful applicants hold a First, so plan on that basis.
Avandy's judgment (heuristic, not a university rule)
Because there is no interview, the written application and transcript carry the decision. Make the theoretical mathematics and probability modules visible and explain why a statistics-led course, not a computing-led one, fits you.
Application
Rounds and choices
The page describes a staged admissions process and says to apply by 23.59 UK time on the closing date of a round.
Which round
Round 2 closes on 6 January 2027 with a decision by 3 March 2027. Round 3 closes on 10 March 2027 with a decision by 5 May 2027. Round 4 closes on 28 April 2027 with a decision by 1 July 2027.
One form, two courses
You can submit one application form per year of entry and choose up to two courses.
Avandy's judgment (heuristic, not a university rule)
With the page noting that later rounds may have no places, aim for Round 2 if your documents are ready.
Planning
Planning for the October 2027 start
The page describes an October 2027 start, and the dates here belong to that cycle.
What to do now
Check your degree against the five named subjects, list your theoretical mathematics modules, decide between the statistics streams and choose a round. Re-read the page before submitting, because Imperial says course information is subject to change.
Support
Independent support with course choice and the written application
Avandy provides independent academic and admissions support. It is not affiliated with Imperial College London or any of its departments. Support sits within the Avandy Trinity Advisory Model: a Strategic Admissions Consultant, a PhD-level Academic Mentor and a Subject-specific Tutor, working to the published requirements of each course. No outcome is promised.
Questions
Questions applicants ask
What degree does the Imperial MSc Statistics (Data Science and Machine Learning) ask for?
A 2:1 in statistics, mathematics, engineering, physics or computer science, although the page says nearly all successful applicants hold a First.
Is there an interview?
No. The department does not interview applicants for entry to this programme.
What if my degree is outside the mathematical sciences?
The page says all successful applicants holding an undergraduate degree outside the mathematical sciences have substantive knowledge and experience in theoretical mathematical topics.
When is the next deadline for October 2027?
Round 2 closes on Wednesday 6 January 2027, Round 3 on Wednesday 10 March 2027 and Round 4 on Wednesday 28 April 2027.
Is it a separate degree from MSc Statistics?
The page presents it as one of the MSc Statistics streams available at Imperial.
Students and families
Talk to us about the Imperial MSc Statistics (Data Science and Machine Learning)
Tell us about your degree, your grades, your relevant experience and the master's courses you are weighing. A senior adviser will review the academic profile before recommending how to prepare the application.