MSc Data Science
London, United Kingdom
DURATION
1 up to 2 Years
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Sep 2025
TUITION FEES
GBP 17,450 / per year *
STUDY FORMAT
On-Campus
* full-time international| home ยฃ11,000 per year; part-time international ยฃ2,908 per 30 credits | home ยฃ1,850 per 30 credits
Key Summary
Introduction
Our MSc in Data Science equips graduates to embark on highly skilled careers in data science, artificial intelligence, and machine learning.
This specialist Master's in Data Science provides a theoretical knowledge of data science alongside the practical skills that will help you prosper in the jobs market.
You'll be exposed to a broad range of topics such as data science, statistics, specialist programming, machine learning and data visualization.
What you should know about this course
- You will learn about many interesting topics in modern data science statistics, data visualization, programming, machine learning, and data visualization, plus application areas such as business intelligence.
- We will provide you with the necessary tools to understand the in-depth theory behind data science and artificial intelligence.
- Gain practical skills for careers within this specialized field.
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Admissions
Scholarships and Funding
There is a range of financial support options available to support your studies, including the Aspire@Greenwich award for study resources that many full-time students will receive.
EU students may be eligible for a bursary to support their studies. View our EU bursary to find out more.
Discover more about grants, student loans, bursaries and scholarships. We also provide advice and support on budgeting, money management, and financial hardship.
Curriculum
Full time
Year 1
Students are required to study the following compulsory modules.
- MSc Project (60 credits)
- Big Data (15 credits)
- Data Visualisation (15 credits)
- Machine Learning (15 credits)
- Applied Machine Learning (15 credits)
- Programming Fundamentals for Data Science (15 credits)
- Essential Professional and Academic Skills for Masters Students
- Statistical Methods for Time Series Analysis (15 credits)
Students are required to choose 15 credits from this list of options.
- Clouds, Grids and Virtualisation (15 credits)
- Blockchain for FinTech Applications (15 credits)
Students are required to choose 15 credits from this list of options.
- Technologies for Anti-Money Laundering and Financial Crime (15 credits)
- Graph and Modern Databases (15 credits)
Part-time
Year 1
Students are required to study the following compulsory modules.
- Big Data (15 credits)
- Machine Learning (15 credits)
- Applied Machine Learning (15 credits)
- Programming Fundamentals for Data Science (15 credits)
- Essential Professional and Academic Skills for Masters Students
Year 2
Students are required to study the following compulsory modules.
- MSc Project (60 credits)
- Data Visualisation (15 credits)
- Statistical Methods for Time Series Analysis (15 credits)
- Students are required to choose 15 credits from this list of options.
- Clouds, Grids and Virtualisation (15 credits)
- Blockchain for FinTech Applications (15 credits)
Students are required to choose 15 credits from this list of options.
- Technologies for Anti-Money Laundering and Financial Crime (15 credits)
- Graph and Modern Databases (15 credits)
Program Tuition Fee
Career Opportunities
What sort of careers do graduates pursue?
Graduates from this Computer Science course are equipped for employment in industry, commerce or research with a proficiency in the key theoretical and practical areas of data science, including their application to modern artificial intelligence systems.
Do you provide employability services?
Our services are designed to help you achieve your potential and support your transition towards a rewarding graduate career.
The Employability and Careers Service provides support when you are preparing to apply for placements and graduate roles. It includes CV clinics, mock interviews and employability skills workshops.
Each School also has its own Employability Officer, who works closely with the industry and will provide specific opportunities relevant to your own course.