24 monthsProgramme duration
17,850 GBPTuition Fee/year
04 Jul, 2025Application Deadline
SepStarting Month
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
Tuition fees
Domestic
International
Scholarships
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