Data Science
City (City St George's, University of London)
UCAS Code: G102 | Master of Science - MSci
City (City St George's, University of London)
UCAS Code: G102 | Master of Science - MSci
Entry requirements
A level
Grades ABB Computer Science or Maths or other science preferred
Access to Higher Education will be considered when combined with substantial work or other experience.
We welcome applications that include the EPQ. Where relevant, this may be included in our offer, resulting in an ‘A’ Level offer reduced by one grade.
GCSE/National 4/National 5
GCSE English Language at grade 4 (C) PLUS GCSE Mathematics at grade 6 (B)
International Baccalaureate Diploma Programme
31 points including 5 in Mathematics at Higher or Standard Level and minimum of grade 5 in Standard Level English
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
Computing or Information Technology only
T Level
Digital Production, Design and Development. Distinction overall including GCSE Mathematics grade 6
UCAS Tariff
Grades ABB Computer Science or Maths or other science preferred
About this course
Data science is an in-demand discipline across a wide range of sectors, from energy and transport to the creative industries. This Data Science degree will equip you with the valuable combination of computing and data analysis skills needed for a career in this fast-growing area.
During this Data Science degree, you will develop skills in computer science, such as algorithmic thinking and programming. You’ll also develop specialist data science skills needed for the extraction of actionable insights from data. These skills, combined with creative problem-solving, can answer challenging questions and bring new knowledge to light.
This skill set will be widely applicable within the computing industry and in various other sectors including retail and health, making our graduates highly employable.
- Acquire leading-edge knowledge, skills and techniques required by the data science profession
- Become proficient in a broad range of programming languages and software design techniques
- Work with and learn from active researchers in machine learning, high-performance computing and data visualization
- Apply your knowledge and skills to develop solutions in data-intensive sectors where insights can deliver commercial advantage or social benefit
- Access excellent work experience opportunities at nearby Tech City.
Accredited by BCS, The Chartered Institute for IT for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional and on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for registration as a Chartered Engineer.
Modules
You can find extensive information about the modules you can expect to study on this course on our website:
https://www.city.ac.uk/prospective-students/courses/undergraduate/computer-science-msci
Assessment methods
Most modules are assessed with examinations and coursework. Details can be found in the individual module specifications. Typically, modules are mainly assessed through written examination, and coursework also contributes to module assessment.
The written examinations will contain theoretical questions, including mathematical aspects, as well as writing and analysing small amounts of code and small essays on the applications of computational techniques.
As you move over to the more specialised modules as part of your Programme Stage 3 and Programme Stage 4, you will be expected to demonstrate how well you can synthesise various pieces of knowledge and be also assessed on how well you can critically reflect on the solutions you are suggesting.
The balance of assessment by coursework (assessed essays and assignments) unseen examinations and a final year project will to some extent depend on the optional modules you choose.
Year 1
Written examination: 41%
Coursework: 59%
Year 2
Written examination: 35%
Coursework: 65%
Year 3
Written examination: 24%
Coursework: 76%
Year 4
Written examination: 35%
Coursework: 65%
Tuition fees
Select where you currently live to see what you'll pay:
The Uni
City, St George's, University of London
Department of Computer Science
What students say
We've crunched the numbers to see if the overall teaching satisfaction score here is high, medium or low compared to students studying this subject(s) at other universities.
How do students rate their degree experience?
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Computer science
Teaching and learning
Assessment and feedback
Resources and organisation
Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
After graduation
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Computer science
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
This is a newly-classified subject area for this kind of data, so we don’t currently have very much information to display or analyse yet. The subject is linked to important and growing computing industries, and over time we can expect more students to study them — there could be opportunities that open up for graduates in these subjects as the economy develops over the next few years.
What about your long term prospects?
Looking further ahead, below is a rough guide for what graduates went on to earn.
Computer science
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£29k
£37k
£43k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
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Post-six month graduation stats:
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It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.
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While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?
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