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This course uses a blend of theory and hands-on practical elements to explore advanced models and techniques for addressing large-scale, complex and dynamic data challenges.
Year of entry
Location
Coventry University (Coventry)
Study mode
Full-time
With Professional Placement
Duration
1 year full-time
Up to 2 years full-time with professional placement
Course code
EEST038
Start date
September 2025
November 2025
January 2026
March 2026
May 2026
June 2026
There is a 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.
This course is designed1 to include the criteria set by the Chartered Management Institute (CMI) for the CMI Level 7 Certificate in Strategic Management and Leadership Practice. It is expected that students who successfully pass the The Data Science Professional module will be eligible to gain the award as an additional qualification.
You will have the opportunity to specialise yourself in a range of topics. This includes how you can use machine learning and statistical modelling to extract insights from data (structured and unstructured), the use of generative AI and its applications, the exploration into the latest advancement in deep learning and more.
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:
As a full-time postgraduate student, you will study modules totalling 180 credits each academic year. A typical 30-credit module requires a total of 300 hours of study. Study hours are made up of teaching contact hours, and guided and independent study.
Teaching hours may vary, depending on where you are in your studies, but on average you will have between 8 and 12 teaching and learning hours each week. You will also have the opportunity to attend optional sessions including time with a Success Coach or to meet with staff for advice and feedback.
Throughout your studies, you will be expected to spend time in guided and independent study to make up the required study hours per module. You will be digging deeper into topics, reviewing what you’ve learnt and completing assignments. This can be completed around your personal commitments. As you progress to the end of your studies, you’ll spend more time on independent learning.
As an innovative university, we use different teaching methods, including online tools and emerging technologies. So, some of your teaching hours and assessments may be delivered online.
This course will be assessed using a variety of methods which could vary depending upon the module. Assessment methods may include:
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.
Typical entry requirements:
Student | Full-time | Part-time |
---|---|---|
UK, Ireland*, Channel Islands or Isle of Man | £11,200 £1,500 professional placement fee (if placement secured) |
Not available |
EU | £11,200 per year with EU Support Bursary** £1,500 professional placement fee (if placement secured) per year with EU Support Bursary** £18,600 per year without EU Support Bursary** £1,800 professional placement fee (if placement secured) per year without EU Support Bursary** |
Not available |
International | £18,600 £1,800 professional placement fee (if placement secured) |
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 Engineering, Environment and Science facilities boast modern, multifunctional teaching and research buildings that support hands-on learning. Laboratories and workshops are equipped to commercial and industrial standards and are available to students both in and out of class time (subject to availability).
The four-storey building is home to a host of facilities, including a gaming and virtual reality studio, a specialist area for 3D printing and rapid prototyping, a laser facility and physics and electronics laboratories. All learning spaces are designed around a full height central atrium to promote student and staff collaboration.
The library is usually open 24/7, in term-time. It’s where you can access your course’s specialist Academic Liaison Librarian. It’s also home to specialist teams which can support you with your academic writing and maths and statistics questions.
The Hub is the centre of student life on campus. Facilities include a food court, convenience store, multi-faith centre, medical centre, hairdresser, coffee shops and the Your SU offices. It has fully licensed function spaces and a bar.
Get one-on-one career and employability guidance lasting up to 36 months from the end of your course. We’ll help you find placements and graduate roles, offer CV and application checks, mentoring, skills workshops, employer events and more.
Facilities are subject to availability. Access to some facilities (including some teaching and learning spaces) may vary from those advertised and/or may have reduced availability or restrictions where the university is following public authority guidance, decisions or orders.
On successful completion of this course, you should be well qualified to apply your technical, research, programming, problem-solving and analytical skills across various sectors including technology, industry, business and government.
There could be career opportunities in AI research and development, machine learning, data management and data analysis. Potential employers include AI research institutions, major technology companies, tech startups, data science teams within businesses and government agencies, and professional consultancy firms.
On successful completion of this course, you may seek positions as:
On successful completion of this course, you will be able to:
Successful graduates of this course have gone on to work for companies managing cutting-edge projects in data science, artificial intelligence and computational intelligence.