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Data is everywhere. As the volume and complexity of data collected continues to grow, there is increasing demand for expertise in data science to support the analysis and visualisation of all this information.
Year of entry
Location
Coventry University (Coventry)
Study mode
Full-time
Part-time
Duration
1 year full-time
2 years part-time
Course code
EECT109
Start date
September 2025
January 2026
May 2026
At Coventry University, we continuously review the courses we offer to ensure we reflect industry-relevant emerging best practice and technology. As a result, this course is undergoing continuous improvement assessment and will be launched with a renewed curriculum starting in September 2025. Module content and titles will be updated. Course title, learning outcomes and assessments may also change. We expect our new curriculum to be fully updated by January 2025. Please return to this page to see the final course details.
The MSc Data Science is a conversion course for graduates from a wide range of disciplines and backgrounds looking to pursue a career, or upskill, in this new and rapidly developing field. Data Scientists are in short supply and there is high demand for data science skills across sectors including business, government, healthcare, science, finance, and marketing.
The aim of the MSc in Data Science is to support you if you have little previous experience of data analysis or computer programming. It aims to help you gain new skills such as:
The MSc Data Science conversion courses at Coventry University is part of the #JoinYourAIFuture programme, funded by the Office for Students. #JoinYourAIFuture is a national recruitment campaign to help address the shortage of AI and data specialists in the UK. An important aim of the campaign is to increase the number of people from underrepresented groups in the AI and data science fields, and to encourage graduates from diverse backgrounds to consider a future in these occupations.
The OfS, in partnership with the Department for Innovation, Science and Technology (DSIT, formerly the Department for Digital, Culture, Media and Sport), have agreed to provide funding to deliver scholarships, worth £10,000 each to eligible students, as part of the AI and data science postgraduate conversion course scholarship programme in the 2024-25 academic year.
Full details available under Fees and funding section.
If you are curious about applying data to interesting questions, have an eye for data visualisation, are talented at communicating with experts or the public, or take logical approach to solving problems, then you could make a great member of a data science team in any organisation.
This course is accredited1 and recognised by the following bodies:
As part of this course, you will undertake a professional development module which is currently accredited by the Chartered Management Institute for the 2024-25 intake. Upon successful completion of this module, you will gain the CMI Level 7 Certificate in Strategic Management and Leadership Practice at no additional cost.
Coventry University’s accreditation with CMI is currently ongoing for the relevant modules and is regularly reviewed and monitored by the CMI through their quality systems. Whilst Coventry University anticipates that these reviews will continue to be successful, if they were to be unsuccessful, the relevant module in this course would no longer be accredited and we would notify applicants and students of this change as soon as possible.
Technology entrepreneur Sarah Windrum believes Coventry University’s Data Science MSc course will help her business.
Discover how the course is helping SarahData Science is a broad multidisciplinary field encompassing everything from cleaning and managing data to data visualisation and deploying predictive models.
The course supports students from diverse backgrounds to develop the necessary foundations of data science in computer programming, data analysis and statistical thinking, before building more specialised knowledge and skills in data management, machine learning, and the technological challenge of dealing with big data. Throughout the course there are many opportunities for you to build on your existing knowledge and experience from your undergraduate degree or workplace, and gain experience in the analysis of data of a variety of kinds and sizes.
The course maintains a balance between hands-on technology-dependent practical skills using modern software, knowledge and understanding of specialist methods and algorithms in learning from data, mathematical language and foundations, and broader issues around data ethics, data protection and communication with stakeholders of all kinds. In particular, the course covers: programming and software development in a high-level programming languages such as Python and R; data analytics, statistical modelling and programming with data; mathematical foundations of data science such as modelling, linear algebra, and probability; data management systems for structured and unstructured data; big data management, distributed databases and data visualisation; machine learning algorithms for learning from data; and a range of data science applications, tools, projects and current issues.
We regularly review our course content, to make it relevant and current for the benefit of our students. For these reasons, course modules may be updated.
Teaching methods may include a combination of:
This course can be studied on a full-time or part-time basis. While we would like to give you all the information about our part-time offering here, it is tailored for each course each year depending on the number of part-time applicants. Therefore, the part-time teaching arrangements vary. Please request information about studying this course part-time.
A 15-credit module will typically have approximately 30 hours of contact time associated with it, while a 30-credit module will have approximately 60 hours of contact time. This may include a combination of, but may not be limited to, lectures, group sessions, laboratory sessions and support sessions. In addition, you will be expected to undertake significant self-study of around 25-35 hours each week depending on the demands of individual modules.
The contact hours may be made up of a combination of face-to-face teaching, individual and group tutorials, and online classes and tutorials.
As an innovative and enterprising institution, the university may seek to utilise emerging technologies within the student experience. For all courses (whether on-campus, blended, or distance learning), the university may deliver certain contact hours and assessments via online technologies and methods.
Since COVID-19, we have delivered our courses in a variety of forms, in line with public authority guidance, decisions, or orders and we will continue to adapt our delivery as appropriate. Whether on campus or online, our key priority is staff and student safety.
This course will be assessed using a variety of methods which could vary depending upon the module. Assessment methods may include coursework, tests, reports, projects, group work, presentations, and formal examinations.
The Coventry University Group assessment strategy ensures that our courses are fairly assessed and allows us to monitor student progression towards achieving the intended learning outcomes.
Typical offer for 2024/25 entry.
Student | Full-time | Part-time |
---|---|---|
UK, Ireland*, Channel Islands or Isle of Man | 2025/26 fees TBC 2024/25 fees -£11,200 |
Request fee information |
EU | 2025/26 fees TBC 2024/25 fees -£11,200 per year with EU Support Bursary** 2025/26 fees TBC 2024/25 fees -£20,050 per year without EU Support Bursary** |
Not available |
International | 2025/26 fees TBC 2024/25 fees -£20,050 |
Not available |
For advice and guidance on tuition fees3 and student loans visit our Postgraduate Finance page and see the university's Tuition Fee and Refund Terms and Conditions.
We offer a range of International scholarships to students all over the world. For more information, visit our International Scholarships page.
Tuition fees cover the cost of your teaching, assessments, facilities and support services. There may be additional costs not covered by this fee such as accommodation and living costs, recommended reading books, stationery, printing and re-assessments should you need them.
The following are additional costs not included in the tuition fees:
The MSc Data Science conversion courses at Coventry University is part of the #JoinYourAIFuture programme, funded by the Office for Students.
#JoinYourAIFuture is a national recruitment campaign to help address the shortage of data specialists in the UK. An important aim of the campaign is to increase the number of people from underrepresented groups in the data science fields, and to encourage graduates from diverse backgrounds to consider a future in these occupations.
The OfS, in partnership with the Department for Innovation, Science and Technology (DSIT, formerly the Department for Digital, Culture, Media and Sport), have agreed to provide funding to deliver scholarships, worth £10,000 each to eligible students, as part of the data science postgraduate conversion course scholarship programme in the 2024-25 academic year.
The investment in the data science postgraduate conversion course scholarship programme aims to:
More information can be found on the Office for Students website.
Applications for scholarships will initially be reviewed using a points-based system. Priority for these awards will be given to applicants in the following categories:
Consideration will also be given to applicants who meet other underrepresented criteria in the following secondary categories:
Download the scholarship application form.
Download the scholarship application guidance notes for full details of the eligibility requirements and the terms and conditions.
Application deadline of Sunday 10th November 2024
The rights of Irish residents to study in the UK are preserved under the Common Travel Area arrangement. If you are an Irish student and meet the residency criteria, you can study in England, pay the same level of tuition fees as English students and utilise the Tuition Fee Loan.
Following the UK's exit from the European Union, we are offering financial support to all eligible EU students who wish to study an undergraduate or a postgraduate degree with us full-time. This bursary will be used to offset the cost of your tuition fees to bring them in line with that of UK students. Students studying a degree with a foundation year with us are not eligible for the bursary.
Our aim is to offer you sector-leading facilities4:
The Cisco lab is used for working with general networking and towards accreditation by Cisco. Optional modules allow students to work in the lab to develop skills in preparation for the Cisco certification exam.
Our virtual labs provide a cutting-edge environment to create entire virtual networks, complete with services, users and even attackers. Students can access this environment from anywhere on or off campus.
This lab contains high-end gaming PCs with the capacity to run industry standard games engines and programming environments. It also supports Virtual Reality (VR) game development.
Upon successful completion of this course, you should be able to:
Data Scientists are in short supply and there is high demand for data science skills across business, government, healthcare, science, finance, and marketing (to name a few).
Successful graduates of this course should be well prepared to join a team in an organisation related to their undergraduate discipline (contributing data analytics skills alongside their subject knowledge) or a specialist data science team in a more general organisation or consultancy.
Coventry University is committed to preparing you for your future career and giving you a competitive edge in the graduate job market. The university's Talent Team provide a wide range of support services to help you plan and prepare for your career.