Overview

Accelerate your career in industry or research with this online, part-time Machine Learning and Data Science at Imperial , integrating mathematical rigor with practical machine learning and data science skills.

You’ll gain expertise in tackling complex data by implementing scalable solutions using industry-standard tools, including PySpark. You’ll enhance your analytical abilities in mathematics and statistics and also explore the limitations of machine learning methods and learn how to ethically apply these techniques to your work.

Finally, you will have the opportunity to apply the knowledge you have gained from the taught programme through an extensive research project, carried out in collaboration with a member of academic staff.

Programme Structure

Core modules include:

Programming for Data Science

Applicable Mathematics

Exploratory Data Analytics and Visualisation

Supervised Learning

Ethical Machine Learning and Data Science

Lecturers

Course Director: Professor Nick Heard

Key information

Duration

Part-time
- 24 months

Start dates & application deadlines

Starting 2027-09-26 00:00:00
- Apply before 2027-04-29 00:00:00

More details

Deadlines:

Round 2: 7 January
Round 3: 11 March

Round 4: 29 April

Apply as early as you can – we cannot guarantee that courses will remain open in later rounds.

Language

English

Duolingo English Test

125

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TOEFL^® IBT

100

Schedule TOEFL®

PTE Academic

Schedule a PTE test!

IELTS

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Credits

180 alternative credits

Delivered

Online

Campus Location

London, United Kingdom

Disciplines

Data Science & Big Data Artificial Intelligence Machine Learning View 63 other Masters in Artificial Intelligence in United Kingdom

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Academic requirements

GPA

Upper Second Class

English requirements

Duolingo English Test

125

Take A Free Practice Test!

TOEFL^® IBT

100

Schedule TOEFL®

PTE Academic

Schedule a PTE test!

IELTS

Prepare for Your English Test

Cathoven AI IELTS Preparation

Learn your IELTS Score

AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.

Trusted by 300k learners
98 accuracy using real exam data
4.9/5 student rating

Other requirements

General requirements

The minimum requirement is a 2.1 degree in mathematics, applied mathematics, engineering or physics.
A wide variety of international qualifications are accepted.
The academic requirement above is for applicants who hold or who are working towards a UK qualification.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

19950 GBP / year

≈ 19950 GBP / year
Domestic Applies to you

Applies to you

Citizens or residents

19950 GBP / year

≈ 19950 GBP / year

Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.

Scholarships Information

Below you will find Master's scholarship opportunities for Machine Learning and Data Science (Online).

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

On this page

About

Overview

Programme Structure

Lecturers

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Tuition Fees

International Applies to you

Domestic Applies to you

Funding

Scholarships Information

Available Scholarships

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