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Data Science (with foundation year) at Coventry University - UCAS

Course options

2024 - 20252025 - 2026
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There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Coventry University has participated in the Teaching Excellence Framework. These ratings were awarded in 2023, for four years.

Open days

7Dec
Coventry University Wrocław - Open Event
Undergraduate

Course summary

The foundation year of this Coventry University degree will be delivered from our CU Coventry campus. Course delivery from year 1 of the degree onwards will be from Coventry University campus. This course aims to provide you with a solid grounding for a career as a data scientist/analyst across a large range of sectors, from healthcare to finance, from marketing to transport. The foundation year aims to provide you with a solid grounding in mathematical principles and an understanding of the core technology associated with the use and application of computer systems. Professional and academic skills are integrated across all modules, including information finding and handling, problem solving, and the communication of outcomes. Students who successfully complete their foundation year will then progress onto the Data Science BSc (Hons) degree within Coventry University’s School of Computing, Mathematics and Data Science. The degree brings together a range of techniques that the modern data scientist needs. You will study modules in mathematics, data analysis and computing and tackle a variety of interesting and engaging problems from the latest research studies, business and industry. Key benefits of the degree

  • You will have the chance to equip yourself with transferable and professional skills which prepare you for employment in industry, business, or education
  • You will be provided with the opportunity to develop critical and reflective skills required for problem solving in a wide variety of contexts
  • The degree has a particular emphasis on modern applications and the use of appropriate computational methods, software and technology
  • You can expect to improve your knowledge and understanding of the theory and practice of the latest data science, as well as the use of computational methods.
  • You will have the chance to gain industry-relevant experience as you apply real-world, commercial software development practices within teams of your peers, preparing you for your career after graduation
See our website for further details.

Modules

Foundation year modules:

  • Fundamental Pure Mathematics
  • Fundamental Applied Mathematics
  • Software and Databases
  • Data Visualisation
On successfully passing your foundation year you will progress to year 1 of the degree. In your first year, you will be taught the fundamental skills and concepts needed to begin your journey as a data scientist. You’ll be familiarised with the mathematical, statistical and computational foundations, and you will apply those principles in regular laboratory sessions which help solidify your understanding. You will also begin developing the professional skills you will need in your day-to-day career on graduation: working as part of a team, the ethical and legal issues around data structure and models. Year One Modules
  • Calculus
  • Algebra
  • Programming: Concepts and Algorithms
  • Working with Data
  • Programming: Professional Practice
  • Probability and Statistics
In year two, you will develop more advanced knowledge and skills to do with data science, linear statistical models and artificial intelligence, amongst others. Year Two Modules:
  • Artificial Intelligence
  • Linear Algebra and Differential Equations
  • Advanced Algorithms
  • Data Science
  • Linear Statistical Models
  • Data Science Group Project
Placement Year There’s no better way to find out what you love doing than trying it out for yourself, which is why a work placement* can often be beneficial. Work placements usually occur between your second and final year of study. They’re a great way to help you explore your potential career path and gain valuable work experience, whilst developing transferable skills for the future. If you choose to do a work placement year, you will pay a reduced tuition fee* of £1,250. For more information, please go to the fees and funding section. During this time, you will receive guidance from your employer or partner institution, along with your assigned academic mentor who will ensure you have the support you need to complete your placement. Final Year The final stage of the BSc (Hons) in Data Science covers advanced topics in data science including Big Data management and visualisation methods, machine learning algorithms, Artificial Neural Networks and advanced statistical methods. Final Year Modules:
  • Data Visualisation
  • Statistical methods for Data Science
  • Machine Learning
  • Project Discovery
  • Dissertation and Project Artefact
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. Before accepting any offers, please check the website for the most up to date course content. For full module details please check the course page on the Coventry University website. *For further information please check the course page on the Coventry University website

Assessment method

This course will be assessed using a variety of methods which will vary depending upon the module. Assessment methods include: Formal examinations Phase tests Essays Group work Presentations Reports Projects Coursework Exams Individual Assignments 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.

How to apply

31Jan

This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Application codes

Please select a course option – you will then see the application code you need to use to apply for the course.

Points of entry

The following entry points are available for this course:

  • Foundation

Entry requirements

Qualification requirements

We recognise a breadth of qualifications, speak to one of our advisers today to find out how we can help you.

Student Outcomes

Operated by the Office for Students
70%
Employment after 15 months (Most common jobs)
95%
Go onto work and study

The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.

Fees and funding

Tuition fees

England £7950 Year 1
Northern Ireland £7950 Year 1
Scotland £7950 Year 1
Wales £7950 Year 1
Channel Islands £7950 Year 1
Republic of Ireland £7950 Year 1

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

Please note: UK (home) tuition fees for the degree years will be charged at the current Coventry University UK (home) degree fee level. This was set at £9,250 for the 24/25 academic year. This course with foundation year is not currently available to international students. If you do not meet the entry requirements to directly join year 1 of the degree, please take a look at our International Pathways Programme for additional options. www.coventry.ac.uk/international-students-hub/international-pathways/
Data Science (with foundation year) at Coventry University - UCAS