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This master’s course aims to respond to the demand for data scientists with the skills to develop innovative computational intelligence applications, capable of analysing large amounts of complex data to inform businesses decisions and market strategies.
Year of entry
Location
Coventry University (Coventry)
Study mode
Full-time
Part-time
Sandwich
Duration
1 year full-time
2 years part-time
2 years sandwich
Course code
EECT044
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 main theme throughout this course is automatic big data analytics and natural language processing through machine learning, especially deep neural networks.
Big data is enabling companies to unlock previously hidden information in areas ranging from customer behaviour to how their businesses function, providing vital insight that can affect the profitability and sustainability of an organisation.
The ‘With work placement’ opportunity2 enables you to apply in semester 1 for an optional work placement of up to 12 months, extending the duration of your master’s to 24 months. The placement provides an opportunity for you to develop expertise and experience in your chosen field with the aim of enhancing your employability upon graduation. The work placement would take place in semesters 3, 4 and 5.
Please note that the optional placement modules will incur an additional tuition fee of £4,000. Placement opportunities may also be subject to additional costs, visa requirements being met, subject to availability and/or competitive application. Work placements are not guaranteed but you will benefit from the support of the Talent Team in trying to find and secure an opportunity. Find out more about the work placement option.
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:
This course can be studied on a full-time or part-time basis. Whilst 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.
The number of contact hours may vary from semester to semester, however, on average, it is likely to be around 12 contact hours per week in the taught semesters.
Additionally, you will be expected to undertake significant self-directed study of approximately 35 hours each week, depending on the demands of individual modules.
Your project-based semester will be supervisor supported, self-directed study in the region of 45 hours per week as well as supervisor meetings around 0.5 hours per week.
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, essays, projects, group work and formal examination.
The Coventry University assessment strategy aims to ensure that our courses are fairly assessed and allows us to monitor student progression towards achieving the intended learning outcomes.
If you have a desire to travel, it is possible to spend a period abroad for part of your studies, for as little as two weeks. We also offer you the chance to participate in field trips2 to several different overseas locations, which have previously included China, Poland, Spain and Finland.
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 | £4,000 (work placement option additional fee) |
Request fee information |
EU | 2025/26 fees TBC 2024/25 fees - £11,200 | £4,000 (work placement option additional fee) per year with EU Support Bursary** 2025/26 fees TBC 2024/25 fees - £20,050 | £4,000 (work placement option additional fee) per year without EU Support Bursary** |
Not available |
International | 2025/26 fees TBC 2024/25 fees - £20,050 | £4,000 (work placement option additional fee) |
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 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.
On successful completion, you will have knowledge of:
On successful completion, you will be able to:
Opportunities following successful completion of this course could include careers as data scientists, data professionals and data analysts in variety of sectors including financial services, retail, marketing, customer and business intelligence.
This master’s course aims to provide you with the analytical tools to construct more desirable technical solutions using advanced computational methods, with an emphasis on rigorous statistical reasoning. As a result, on successful graduation, you should gain the skills for roles in a wide range of sectors including finance, marketing, academia, scientific research, health and medicine, the retail market, information technology, government, ecommerce, energy, transportation, telecommunications, biotechnology and pharmaceutical companies.