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University of Exeter: Data Science
| Institution | University of Exeter View institution profile |
|---|---|
| Department | Computer Science |
| Web | https://www.exeter.ac.uk/postgraduate |
| Study type | Taught |
MSc
Summary
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MSc Data Science is the programme for you if you want to explore the role of data science in a range of sectors.
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Nearly every sector requires data science expertise – from healthcare, wellbeing and retail to environment, banking, finance and government agencies.
-
This conversion programme teaches graduates from a non-computing background* the necessary skills to understand the theory of data science and apply it to their area of interest.
-
By choosing optional modules and a research project that match your interests, you can curate a masters in data science that meets your career goals.
-
Your research project, which is supervised by an expert data scientist, brings together your learning and enables you to apply it to a practical or theoretical problem.
-
You will have access to our latest computer facilities which are world-class spacious teaching labs allowing comfortable, collaborative working in a sensory-friendly environment.
*If you have a computing background, we very strongly advise that you apply for one of our advanced programmes, please see MSc Advanced Computer Science or MSc Advanced Computer Science with Business.
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Applicants are required to have at least a 2:2 degree in a non-related science undergraduate degree, or a 2:2 in any other degree subject and A Level Mathematics at Grade A or equivalent. Please note, this is a conversion course designed to allow students from a wide range of backgrounds to pursue a career in data science. If you have studied Computer Science, Mathematics, Physics, Engineering or other related degree, we very strongly advise that you apply for one of our advanced programmes, please see MSc Advanced Computer Science or MSc Advanced Computer Science with Business. The MSc Data Science programme is a conversion course intended for students who have a non-related degree background therefore the course content has been designed so that it is appropriate for that entry level. We may consider applications with non-standard qualifications where there is evidence of exceptional performance in modules relevant to the programme of study, significant relevant work experience, or relevant professional qualifications. For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - Streatham Campus Northcote House The Queen's Drive Exeter Devon EX4 4QJ |
Summary
-
MSc Data Science is the programme for you if you want to explore the role of data science in a range of sectors.
-
Nearly every sector requires data science expertise – from healthcare, wellbeing and retail to environment, banking, finance and government agencies.
-
This conversion programme teaches graduates from a non-computing background* the necessary skills to understand the theory of data science and apply it to their area of interest.
-
By choosing optional modules and a research project that match your interests, you can curate a masters in data science that meets your career goals.
-
Your research project, which is supervised by an expert data scientist, brings together your learning and enables you to apply it to a practical or theoretical problem.
-
You will have access to our latest computer facilities which are world-class spacious teaching labs allowing comfortable, collaborative working in a sensory-friendly environment.
*If you have a computing background, we very strongly advise that you apply for one of our advanced programmes, please see MSc Advanced Computer Science or MSc Advanced Computer Science with Business.
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Applicants are required to have at least a 2:2 degree in a non-related science undergraduate degree, or a 2:2 in any other degree subject and A Level Mathematics at Grade A or equivalent. Please note, this is a conversion course designed to allow students from a wide range of backgrounds to pursue a career in data science. If you have studied Computer Science, Mathematics, Physics, Engineering or other related degree, we very strongly advise that you apply for one of our advanced programmes, please see MSc Advanced Computer Science or MSc Advanced Computer Science with Business. The MSc Data Science programme is a conversion course intended for students who have a non-related degree background therefore the course content has been designed so that it is appropriate for that entry level. We may consider applications with non-standard qualifications where there is evidence of exceptional performance in modules relevant to the programme of study, significant relevant work experience, or relevant professional qualifications. For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - Streatham Campus Northcote House The Queen's Drive Exeter Devon EX4 4QJ |
Summary
-
By studying Data Science at Exeter you will be joining a rapidly growing department that is already among the top ten for computer science in the UK.
-
This programme offers you the flexibility to pursue data science according to your own passions.
-
Designed for those interested in learning the underpinning theory of Data Science together with methods for implementation and application.
-
A large component of the degree involves a research project which is a one-to-one engagement with a mentor from the university who will be an active data scientist and leader in their field.
-
This course is for anyone with a foundational level of coding and mathematical knowledge who wants a thorough grounding in the fundamentals of modern data science as well as its application to real-world problems.
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Candidates are required to have at least a 2:1 degree in a strongly numerate subject (e.g. computer science, mathematics, physics) and must be able to show evidence of good programming ability in a recognised modern computer language. Candidates may be interviewed by video conference to assess their programming ability and suitability for the course. The Python programming language is used extensively during this course and applicants with experience in other languages will be asked to learn basic Python before commencing the course. We may consider applications with non-standard qualifications where there is evidence of exceptional performance in modules relevant to the programme of study, significant relevant work experience, or relevant professional qualifications. For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - Streatham Campus Northcote House The Queen's Drive Exeter Devon EX4 4QJ |
Summary
-
By studying Data Science at Exeter you will be joining a rapidly growing department that is already among the top ten for computer science in the UK.
-
This programme offers you the flexibility to pursue data science according to your own passions.
-
Designed for those interested in learning the underpinning theory of Data Science together with methods for implementation and application.
-
A large component of the degree involves a research project which is a one-to-one engagement with a mentor from the university who will be an active data scientist and leader in their field.
-
This course is for anyone with a foundational level of coding and mathematical knowledge who wants a thorough grounding in the fundamentals of modern data science as well as its application to real-world problems.
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Candidates are required to have at least a 2:1 degree in a strongly numerate subject (e.g. computer science, mathematics, physics) and must be able to show evidence of good programming ability in a recognised modern computer language. Candidates may be interviewed by video conference to assess their programming ability and suitability for the course. The Python programming language is used extensively during this course and applicants with experience in other languages will be asked to learn basic Python before commencing the course. We may consider applications with non-standard qualifications where there is evidence of exceptional performance in modules relevant to the programme of study, significant relevant work experience, or relevant professional qualifications. For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - Streatham Campus Northcote House The Queen's Drive Exeter Devon EX4 4QJ |
Summary
-
By studying Data Science at Exeter you will be joining a rapidly growing department that is already among the top ten for computer science in the UK.
-
This programme offers you the flexibility to pursue data science according to your own passions.
-
Designed for those interested in learning the underpinning theory of Data Science together with methods for implementation and application.
-
A large component of the degree involves a research project which is a one-to-one engagement with a mentor from the university who will be an active data scientist and leader in their field.
-
This course is for anyone with a foundational level of coding and mathematical knowledge who wants a thorough grounding in the fundamentals of modern data science as well as its application to real-world problems.
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Candidates are required to have at least a 2:1 degree in a strongly numerate subject (e.g. computer science, mathematics, physics) and must be able to show evidence of good programming ability in a recognised modern computer language. Candidates may be interviewed by video conference to assess their programming ability and suitability for the course. The Python programming language is used extensively during this course and applicants with experience in other languages will be asked to learn basic Python before commencing the course. We may consider applications with non-standard qualifications where there is evidence of exceptional performance in modules relevant to the programme of study, significant relevant work experience, or relevant professional qualifications. For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - Streatham Campus Northcote House The Queen's Drive Exeter Devon EX4 4QJ |
Summary
-
By studying Data Science at Exeter you will be joining a rapidly growing department that is already among the top ten for computer science in the UK.
-
This programme offers you the flexibility to pursue data science according to your own passions.
-
Designed for those interested in learning the underpinning theory of Data Science together with methods for implementation and application.
-
A large component of the degree involves a research project which is a one-to-one engagement with a mentor from the university who will be an active data scientist and leader in their field.
-
This course is for anyone with a foundational level of coding and mathematical knowledge who wants a thorough grounding in the fundamentals of modern data science as well as its application to real-world problems.
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Candidates are required to have at least a 2:1 degree in a strongly numerate subject (e.g. computer science, mathematics, physics) and must be able to show evidence of good programming ability in a recognised modern computer language. Candidates may be interviewed by video conference to assess their programming ability and suitability for the course. The Python programming language is used extensively during this course and applicants with experience in other languages will be asked to learn basic Python before commencing the course. We may consider applications with non-standard qualifications where there is evidence of exceptional performance in modules relevant to the programme of study, significant relevant work experience, or relevant professional qualifications. For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - Streatham Campus Northcote House The Queen's Drive Exeter Devon EX4 4QJ |
A Russell Group university offering outstanding career prospects
At the University of Exeter, we provide study opportunities in beautiful and historic surroundings in South West England. Studying with us will give you the opportunity to become an expert in your field, develop valuable skills and help you build the foundations for your career.
We are a member of the prestigious Russell Group of top UK research universities, ranked in the country’s top 15 in The Times and Sunday Times Good University Guide 2025. We are proud to produce ambitious alumni who progress to successful global careers …
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