Study Data Science MSc at King's College London, University of London in the UK, Faculty of Natural, Mathematical and Engineering Sciences
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What will I learn?

Our Data Science MSc provides you with the essential knowledge and advanced skills for a successful career in data science. You'll learn to collect, curate, and analyse data, gaining a rigorous grounding in all aspects of data analytics and big data. This programme is designed for graduates and professionals with a background in quantitative subjects who want to master current methods and techniques in data science. The course covers computational and statistical methods, analysis, and key skills in programming, data visualisation and presentation. You will also explore approaches to harnessing emerging AI technologies. With skilled data professionals in high demand across diverse sectors and domains, this programme gives you the deep technical and strategic expertise needed to secure a successful career as a data scientist.

Which department am I in?

Faculty of Natural, Mathematical and Engineering Sciences

Study options

Full Time (1 Year)

Tuition fees
£40,450.00 (US$ 52,238) per year
This is a fixed fee
Start date

September 2026

Venue

Waterloo Campus

57 Waterloo Road,

London,

Greater London,

SE1 8WA, Southern England, United Kingdom

Full Time (1 Year)

Tuition fees
£40,450.00 (US$ 52,238) per year
This is a fixed fee
Start date

September 2026

Venue

King's College London, University of London

Strand Campus,

London,

Greater London,

WC2R 2LS, Southern England, United Kingdom

Entry requirements

For international students

A minimum high 2:1 undergraduate Bachelors (honours) degree with a final mark of at least 65% or aboveIf you have a lower degree classification, or a degree in an unrelated subject, your application may be considered if you can demonstrate significant relevant work experience, or offer a related graduate qualification (such as a Masters or PGDip).Programme specific requirementsA Bachelor's degree with a high (minimum of 65%) 2:1 honours (or international equivalent) in Computer Science or another relevant quantitative discipline (such as Mathematics, Statistics, Physics, Natural Science, Electronic Engineering, General Engineering, Operations Research, or a joint degree in two such subjects).Applicants should also have a sound background in basic mathematics, in particular familiarity with standard concepts of calculus, trigonometry, linear algebra, vectors and matrix mathematics. In addition, applicants should be competent in computer programming, close to the level expected at the end of the first year of a BSc honours degree in computer science.

*There may be different IELTS requirements depending on your chosen course.

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