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Data Science at Coventry University - UCAS

Course options

2024 - 2025
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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.

What does this TEF outcome mean?

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Open days

15Jun
Coventry University - Open Day
Undergraduate
22Jun
CU Scarborough - Open Event
Undergraduate

Course summary

Data scientists/analysts are in demand across a large range of sectors, from healthcare to finance, from marketing to transport. This course aims to provide the essential training you will need to be successful in this fast-moving, dynamic field. The course 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 Course Benefits • 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 course 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. *UK and international opportunities  Please note that we are unable to guarantee any UK or International opportunities (whether required or optional) such as internships, work experience, field trips, conferences, placements or study abroad opportunities and that all such opportunities may be subject to additional costs (which could include, but is not limited to, equipment, materials, bench fees, studio or facilities hire, travel, accommodation and visas), competitive application, availability and/or meeting any applicable travel COVID and visa requirements. To ensure that you fully understand the visa requirements, please contact the International Office. 

Modules

Year One 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. Modules Calculus - 20 credits Algebra - 20 Credits Programming: Concepts and Algorithms - 20 Credits Working with Data - 20 Credits Programming: Professional Practice - 20 Credits Probability and Statistics - 20 Credits Year Two In year two, you will develop more advanced knowledge and skills to do with data science, linear statistical models and artificial intelligence, amongst others. Modules Artificial Intelligence - 20 Credits Linear Algebra and Differential Equations - 20 Credits Advanced Algorithms - 20 Credits Data Science - 20 Credits Linear Statistical Models - 20 Credits Data Science Group Project - 20 Credits 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. Modules Data Visualisation - 20 Credits Statistical methods for Data Science - 20 Credits Machine Learning - 20 Credits Project Discovery - 20 credits Dissertation and Project Artefact - 20 credits Optional Modules Additional Year If you meet the criteria, you could choose to take an additional fourth year master's option, which will deepen your knowledge and expertise*.   This year provides insight into more advanced topics in data science and can act as a stepping stone to postgraduate research or further 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. 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:

  • Year 1

Entry requirements

Qualification requirements

All applications are considered on an individual basis and the whole application is reviewed which includes previous and predicted qualifications, experience, reference and your motivation to study the course. The University also accepts the BTEC Level 3 National Extended Certificate / BTEC Level 3 Subsidiary Diploma and BTEC Level 3 National Diploma / BTEC Level 3 Diploma for entry onto degree programmes, provided that they are studied in combination with other qualifications that are equivalent to three A2 Levels. This may include subject specific requirements where necessary. If you are successful in receiving an offer, you will be invited to an Applicant Visit Day to discover more about the course and studying at Coventry University.

Student Outcomes

Operated by the Office for Students

There is no data available for this course. For further information visit the Discover Uni website.

Fees and funding

Tuition fees

England £9250* Year 1
Northern Ireland £9250* Year 1
Scotland £9250* Year 1
Wales £9250* Year 1
Channel Islands £9250* Year 1
Republic of Ireland £9250* Year 1

*This is a provisional fee and subject to change.

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Data Science at Coventry University - UCAS