Data Science MSc 12 months Postgraduate Programme By Loughborough University |TopUniversities
Programme Duration

12 monthsProgramme duration

Tuitionfee

30,900 GBPTuition Fee/year

Application Deadline

24 Aug, 2026Application Deadline

Starting Month

SepStarting Month

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Our MSc conversion programme in Data Science offers an excellent solution for graduates from varying academic and professional backgrounds wanting to up skill for careers in data science, data analysis, data management or data stewardship.


Data has been called “the oil of the digital economy” (Wired) with importance to all organisations in all sectors and at every level. As such, wide-ranging opportunities exist for skilled graduates with expertise in data science.


Designed in collaboration with industry partners and supported by funding from the Office for Students (OfS), our new MSc Data Science conversion programme has a distinctive focus on problem-based learning and offers modules designed to support your career goals and aspirations. Programme content is focused not only on fundamental data science but also on design thinking and innovation, data governance, ethics and data analysis.


This unique master's offers an excellent solution for graduates wishing to upskill to support their career aspirations in data science, pursuing roles in data analytics, management and stewardship. It is suitable for students from industry, including those who come from managerial, leadership and information administration posts and who wish to upskill in order to enter the world of data science. The programme also appeals to science graduates and those from the social sciences (eg criminology, economics, public health and psychology), life sciences (eg biological and biomedical sciences) and applied sciences (eg engineering and medicine) who wish to learn how to analyse data or who wish to understand the world of data science from a business perspective.


The programme is designed for students who do not have a first degree in computer science (those who do may wish to consider our MSc Artificial Intelligence or our MSc Advanced Computer Science). We would however consider applications in their own merit, so we encourage anyone to get in touch.


The kinds of positions we would anticipate graduates of this programme gravitating towards would include roles in analytics engineering, big data engineering and business intelligence, and as data architects, data analysts, data scientists and statisticians.


As a student in the Department of Computer Science, you will enjoy 24-hour exclusive access to our computer laboratories, including a designated MSc computer science laboratory supported by a team of systems specialists and specialist laboratory for artificial intelligence (AI) and machine learning work. You will also gain insights from the cutting-edge research of our academic staff and become part of a rich community that is research active and attracts staff, students and visitors from around the world.

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Our MSc conversion programme in Data Science offers an excellent solution for graduates from varying academic and professional backgrounds wanting to up skill for careers in data science, data analysis, data management or data stewardship.


Data has been called “the oil of the digital economy” (Wired) with importance to all organisations in all sectors and at every level. As such, wide-ranging opportunities exist for skilled graduates with expertise in data science.


Designed in collaboration with industry partners and supported by funding from the Office for Students (OfS), our new MSc Data Science conversion programme has a distinctive focus on problem-based learning and offers modules designed to support your career goals and aspirations. Programme content is focused not only on fundamental data science but also on design thinking and innovation, data governance, ethics and data analysis.


This unique master's offers an excellent solution for graduates wishing to upskill to support their career aspirations in data science, pursuing roles in data analytics, management and stewardship. It is suitable for students from industry, including those who come from managerial, leadership and information administration posts and who wish to upskill in order to enter the world of data science. The programme also appeals to science graduates and those from the social sciences (eg criminology, economics, public health and psychology), life sciences (eg biological and biomedical sciences) and applied sciences (eg engineering and medicine) who wish to learn how to analyse data or who wish to understand the world of data science from a business perspective.


The programme is designed for students who do not have a first degree in computer science (those who do may wish to consider our MSc Artificial Intelligence or our MSc Advanced Computer Science). We would however consider applications in their own merit, so we encourage anyone to get in touch.


The kinds of positions we would anticipate graduates of this programme gravitating towards would include roles in analytics engineering, big data engineering and business intelligence, and as data architects, data analysts, data scientists and statisticians.


As a student in the Department of Computer Science, you will enjoy 24-hour exclusive access to our computer laboratories, including a designated MSc computer science laboratory supported by a team of systems specialists and specialist laboratory for artificial intelligence (AI) and machine learning work. You will also gain insights from the cutting-edge research of our academic staff and become part of a rich community that is research active and attracts staff, students and visitors from around the world.

Admission Requirements

6.5+
65+
4.5+
180+
120+
2.7+
A 2:2 honours degree (or equivalent international qualification) in any discipline (except computer science).

24 Aug 2026
1 Year
Sep

  • Candidates are required to submit references or letter(s) of recommendation for acceptance
  • Candidates are required to submit an essay(s) for acceptance

Tuition fees

Domestic
13,700 GBP
International
30,900 GBP

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