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Computer Science (Data Science), BSc (Hons), with industry placement

University of Greenwich, United Kingdom

 
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Subject ranking

Information Technology and Systems
UK / CUG 2024
19th
Overall
UK / ARWU 2024
49th
Computer Science
UK / THE 2025
53rd

Costs

Course feesS$28.9K / year
Entertainment, books
food & rent
S$24.6K / year
Beer S$10
MacDonalds S$13
Cinema S$20
Coffee S$6
TotalS$53.5K / year

Entry requirements

A Level BBB
Diploma 2.9
International Baccalaureate 31

Scholarships

British Chevening Scholarships
100% for tuition and living expenses
Limited quantity

Information

Course
Code
G446(1)
Upcoming
Intakes
Sep 2025
Course
Website (External)
Pathway
Programmes
See pathways
University
Information
WHATSAPP
+65 9650 3225
HOTLINE
+65 6333 1300

Duration

4 years
Graduate
2029
About the course

Course summary

Study a Computer Science degree for the skills to pursue careers as Computer Science professionals specialising in Data Science. Study in London. Read more.Throughout this Computer Science degree, you will develop a firm grasp of the science underpinning computer and software systems. The modules you can study as part of this degree include Statistical Techniques with R, Information Visualisation and Big Data and Machine Learning.You will gain practical experience of developing systems using the latest technologies and techniques, plus exposure to the latest trends that will shape the future of computer science. By the end of the course, you will be equipped to work independently and to develop and adapt your skills throughout your future career.The University of Greenwich has a long-standing relationship with the British Computer Society (BCS), which accredits our computing degree programmes. Our current BCS accreditation includes the intake up to 2024. The re-accreditation is expected to be confirmed in Autumn 2024 for the 2025 intake onwards.What you should know about this course

  • You will learn the core algorithms underpinning data processing and develop analytical skills with statistical technologies to create solutions and applications in big data.
  • Gain valuable skills and the ability to design intricate algorithms and visualisations from large unstructured data.
  • Elicit, analyse, and specify requirements and master the mathematical and analytical foundations underpinning data.

Modules

All degree courses are made up of modules – individual units of study on different topics. Some modules are compulsory; others can be chosen from a list of options. Our website has full details of your degree structures, module content, and how each module is assessed. The direct link to this course on our website, can be found at the bottom of this page.

Assessment method

Students are assessed through a combination of assessment methods depending on the modules chosen. Some courses may also include 'practice' assignments, which help you monitor progress and do not count towards your final grade. Our website has full details of your degree structures, module content, and how each module is assessed. The direct link to this course on our website, can be found at the bottom of this page.


What you will learn

All degree courses are made up of modules – individual units of study on different topics. Some modules are compulsory; others can be chosen from a list of options. Our website has full details of your degree structures, module content, and how each module is assessed. The direct link to this course on our website, can be found at the bottom of this page.

A local representative of University of Greenwich in Singapore is available online to assist you with enquiries about this course.