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Via hands-on projects, you'll build a portfolio in everything from probabilistic modelling and deep learning to unstructured data processing and anomaly detection.
This programme will enhance your analytical abilities in relation to mathematics and statistics. You'll gain expertise in tackling complex data by implementing scalable solutions using industry-standard tools, including PySpark.
Wide-ranging topics from both applied and theoretical approaches include fundamentals of probability and decision theory, advanced deep learning, reinforcement learning techniques, supervised and unsupervised learning, Bayesian methods and unstructured data processing.
You'll also consider the ethics and limitations of machine learning, 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.
Via hands-on projects, you'll build a portfolio in everything from probabilistic modelling and deep learning to unstructured data processing and anomaly detection.
This programme will enhance your analytical abilities in relation to mathematics and statistics. You'll gain expertise in tackling complex data by implementing scalable solutions using industry-standard tools, including PySpark.
Wide-ranging topics from both applied and theoretical approaches include fundamentals of probability and decision theory, advanced deep learning, reinforcement learning techniques, supervised and unsupervised learning, Bayesian methods and unstructured data processing.
You'll also consider the ethics and limitations of machine learning, 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.
All learning is delivered online.
Admission Requirements
69+
3.3+
100+
185+
7+
2:1 in statistics, mathematics, engineering, physics or computer science.
04 Jul 2025
2 Years
Sep
Domestic
17,850 GBP
International
17,850 GBP
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
MSc Machine Learning and Data Science (Online)
South Kensington Campus, London, United Kingdom
# 22QS Subject Rankings
24 monthsProgramme duration
17,850 GBPTuition Fee/year
04 Jul, 2025Application Deadline
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
Online
Via hands-on projects, you'll build a portfolio in everything from probabilistic modelling and deep learning to unstructured data processing and anomaly detection.
This programme will enhance your analytical abilities in relation to mathematics and statistics. You'll gain expertise in tackling complex data by implementing scalable solutions using industry-standard tools, including PySpark.
Wide-ranging topics from both applied and theoretical approaches include fundamentals of probability and decision theory, advanced deep learning, reinforcement learning techniques, supervised and unsupervised learning, Bayesian methods and unstructured data processing.
You'll also consider the ethics and limitations of machine learning, 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.
All learning is delivered online.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
Online
Via hands-on projects, you'll build a portfolio in everything from probabilistic modelling and deep learning to unstructured data processing and anomaly detection.
This programme will enhance your analytical abilities in relation to mathematics and statistics. You'll gain expertise in tackling complex data by implementing scalable solutions using industry-standard tools, including PySpark.
Wide-ranging topics from both applied and theoretical approaches include fundamentals of probability and decision theory, advanced deep learning, reinforcement learning techniques, supervised and unsupervised learning, Bayesian methods and unstructured data processing.
You'll also consider the ethics and limitations of machine learning, 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.
All learning is delivered online.
Admission Requirements
Domestic
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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