Data Science MSci/BSc (Hons)
Course Code
UCAS Code: BSc - 256A
UCAS Code: MSci - 257A
International Code: EECU042 (Bsc)
International Code: EECU043 (MSci)
Location
Coventry University (Coventry)
Study mode
Full-time
Sandwich
Duration
3 years full-time
4 years full-time
4 years sandwich
5 years sandwich
Start date
September 2022
Course overview
Study level: Undergraduate
Ninety percent of the data in the world today has been created in the last two years alone, rendering traditional data processing applications inadequate and increasing the demand for sophisticated data analysts who can collate, interpret, and draw value from complex data sets.
Responding to this trend, our new integrated master’s course brings together a range of mathematical, statistical, and computational techniques, which incorporate probability, predictive analytics, and advanced modelling to extract value and make sense of multiple sets and large amounts of data. As an integrated undergraduate and postgraduate course, you can graduate at master’s Level.
Businesses and organisations from almost every sector have woken up to the power of data analytics. Used effectively, they can inform decision making within business and finance, predict and dispense medical treatment within the healthcare system and help improve performance in sports or interpret data from smartphone apps.
Throughout your studies, you will have opportunities to participate in a series of skills development sessions to improve your digital literacy, as well as presentation and writing skills, particularly in a mathematical context. We will familiarise you with a range of computational software related to the fields of mathematics and statistics, such as R, SPSS, LaTeX, Excel, Matlab, Python, Maple and Minitab.

Global Ready
An international outlook, with global opportunities
Teaching excellence
Taught by lecturers who are experts in their field
Employability
Career ready graduates, with the skills to succeedWhy you should study this course
A diverse range of sectors, such as the IT industry, health, sports, finance, marketing, and sales, require graduates with the ability to think clearly and logically, analyse complicated data sets, solve problems, make recommendations and communicate technical information in a language everyone can understand.
A good grounding in mathematical thinking, statistics and computing is essential for creating and using algorithms and systems that identify patterns and extract value from masses of data.
Coventry University has a long tradition of teaching mathematics, statistics, and computing with a strong emphasis on its applications in practical situations. This new course blends all these subject areas with a view to tackling a huge variety of interesting and engaging problems from business and industry – from fraud detection and credit risk to efficiency improvements and optimisation of delivery methods.
You’ll have access to our modern computing facilities, which enable you to gain experience using mathematical software packages, like MAPLE and MATLAB®. You can also receive one-to-one assistance from sigma, the university’s internationally-renowned Centre for Excellence in Mathematics and Statistics Support.
What you'll study
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.
How you'll learn
Throughout the course, great emphasis is placed on practical skills development. Some of your time will be spent on computer laboratory sessions, which may involve the use of mathematical software to solve mathematical problems, and we also run examples classes to review and discuss solutions to exercises.
You may have opportunities to work with staff on real-world problems from industry, commerce, and research groups, as you would in professional practice. This means that you have the opportunity to develop professional skills at the same time as you learn the technical content of your degree.
In a typical week, your class time will be divided amongst:
- Personal tutorials and small group teaching
- Medium group teaching (for example seminars, tutorial sessions, lab sessions and workshops)
- Large group teaching (lectures).
In addition, you will be expected to undertake significant self-directed study each week, depending on the demands of individual modules. The number of hours of class time will vary from year to year: it’s likely to be around 18 hours contact per week in the first year (around six hours per week per module) dropping to around 12 (around 4 hours per week per module) in final year as you become a more independent learner.
Assessment
This course will be assessed using a variety of methods which could vary depending upon the module. Assessment methods include formal examinations, essays, coursework, tests, group work and practical work, for example presentations and tests.
The Coventry University Group assessment strategy ensures that our courses are fairly assessed and allows us to monitor student progression towards the achieving the intended learning outcomes.
Job ready
On successful completion, you should have knowledge of:
- The logical construction of a mathematical argument.
- The application of mathematics to construct models and their resolution, with an appreciation of the validity of the model and the use of approximation.
- The use of a range of analytic and descriptive techniques.
- The strengths and weaknesses of selected mathematical software and selected programming or scripting languages and their use to extend capabilities.
- A range of real-world applications of mathematics, statistics and data analytics techniques, some set in an international context.
On successful completion, you should be able to:
- Understand, reproduce, and generalise logical mathematical reasoning.
- Organise and interpret information and results from mathematical models.
- Analyse problems and construct an appropriate formulation and solution with relatively little guidance or support.
- Use specialist modern information technology packages and programming language confidently.
- Use a wide range of information resources to acquire relevant information.
International experience opportunities
If you have a desire to gain international experience it is possible to spend a year studying abroad*. In the past, students have chosen to study Mathematics in St Marcus University in California, University of Malta, Stockholm University in Sweden, also universities in the Netherlands, Germany, and Australia. Courses in all these universities are delivered in English.
We can support you in finding an internship in many countries across the globe and support you in seeking financing for that experience. Past students have gone to work in countries such as Malaysia, Belgium, and Spain.
Entry requirements
Fees and funding
2022/23 Tuition fees
Student | Full time | Part time |
---|---|---|
UK | £9,250 per year | Not available |
International | £18,050 per year | Not available |
For advice and guidance on tuition fees and student loans visit our Undergraduate 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. Find out what's included in your tuition costs.
Facilities
The faculty of Engineering, Environment and Computing boasts 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).

Informal study areas
You will have plenty of computer access to all the specialist software required for your studies. There are also bookable spaces where students can meet with academics or work in small groups.

sigma Centre
The sigma Centre is an award-winning mathematics support centre, which provides a wide range of learning resources in mathematics and statistics. Students can make use of drop-in sessions or one-to-one appointments.

Mathematics laboratory
Set out like a traditional classroom with a large whiteboard, it is the only teaching room in the Engineering and Computing Building laid out in this way, designed to suit the teaching style required for this subject.
Careers and opportunities
Data analysts have job prospects in areas such as business analysis, risk analysis, energy demand forecasting, health analytics, sports analytics, web analytics, games data analytics, social media analytics and many, many more.
How to apply
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UK Students
Full-time students applying to start in September should apply for this course through UCAS. Part-time students should apply directly to the university. Read our application pages to find out your next steps to apply.
If you'd like further support or more information about your course get in touch with us today.
Chat with our admissions team
Complete our contact form.
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International Students
Full-time students applying to start in September should apply directly to the university. Read our application pages to find out your next steps to apply.
How to applyFor further support for international applicants applying for an undergraduate degree view our International hub.
You can also download our International Guide which contains lots of useful information about our courses, accommodation and tips for travel.
Get in touch with us today for further advice and guidance.
Chat with our admissions team.
Complete our contact form.
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Disclaimer
Student Contract
By accepting your offer of a place and enrolling with us, a Student Contract will be formed between you and the university. A copy of the 2021/22 Contract can be found here. The Contract details your rights and the obligations you will be bound by during your time as a student and contains the obligations that the university will owe to you. You should read the Contract before you accept an offer of a place and before you enrol at the university.
Tuition fees
The tuition fee for the course that is stated on the course webpage and in the prospectus for the first year of study will apply. We will review our tuition fees each year. For UK and EU students, if Parliament permit an increase in tuition fees, we may increase fees for each subsequent year of study in line with any such changes. Note that any increase is expected to be in line with inflation. Following the UK’s exit from the European Union, EU students should be aware that there may be a change to UK laws following the UK’s exit, this may change their student status, their eligibility to study part time, and/or their eligibility for student finance. We will act in accordance with the UK’s laws in force in relation to student tuition fees and finance from time to time.
For International students the tuition fee that is stated on the course webpage and in the prospectus for the first year of study will apply. We will review our tuition fees each year. For international students, we may increase fees for each subsequent year of study but such increases will be no more than 5% above inflation.
Accreditations
The majority of our courses have been formally recognised by professional bodies, which means the courses have been reviewed and tested to ensure they reach a set standard. In some instances, studying on an accredited course can give you additional benefits such as exemptions from professional exams (subject to availability, fees may apply). Accreditations, partnerships, exemptions and memberships shall be renewed in accordance with the relevant bodies’ standard review process and subject to the university maintaining the same high standards of course delivery.
Facilities
Facilities mentioned on this page may not be relevant for every course. Due to the ongoing restrictions relating to COVID-19, some facilities (including some teaching and learning spaces) and some non-academic offerings (particularly in relation to international experiences), may vary from those advertised and may have reduced availability or restrictions on their use.
Placements and study abroad opportunities
Please note that we are unable to guarantee any placement or study abroad opportunities and that all such opportunities may be subject to additional costs (e.g. travel, visas and accommodation etc.), competitive application, availability and/or meeting any applicable visa requirements. To ensure that you fully understand the requirements in this regard, please contact the International Office for further details if you are an EU or International student.
Additional costs
This course may incur additional costs associated with any field trips, placements or work experience, study abroad opportunities or any other opportunity (whether required or optional), which could include (but is not limited to), equipment, materials, bench fees, studio or facilities hire, travel, accommodation and visas).