Course Summary

Set in 600 acres of countryside in North Staffordshire, we have one of the largest and most beautiful campuses in Britain. We’re proud to be No.2 in England for Student Satisfaction with Course (Guardian University League Table, 2020), investing more than £140m in our campus in the last ten years, including £45m new science laboratories. In 2021 we were proud to be awarded Sustainability Institution of the Year at the prestigious Green Gown Awards as part of our mission to become a carbon neutral campus by 2030. We're committed to supporting you to achieve your career goals, and have a dedicated Careers and Employability team who can assist you to navigate your options beyond Keele. From same-day deliveries to self-driving cars, today's global society is powered by AI and big data. With a blend of Mathematics and Computer Science, this programme will provide a deep understanding of key principles and data science techniques. You will gain practical skills for a career with a significant impact in the modern world. On this course, you will be trained from first principles in Computer Science and Mathematics. The two disciplines are blended seamlessly throughout your degree. You will study fundamental mathematical and statistical techniques alongside modern software development methods. You will have the opportunity to apply your learning immediately using real-world datasets in our cutting-edge computing laboratories. You will undertake significant development projects throughout the course such as a final year data science dissertation led by academics with a range of research specialities which currently include artificial intelligence, big data and statistical modelling. You will explore a range of advanced technical topics which may include cloud computing, as well as academic research, industry-focused professional skills and practical problem-solving ensure you are fully equipped for an exciting and intellectually stimulating journey as a Data Scientist.

Course Details - Modules

For a list of indicative and likely optional modules please visit the course website.

Course Details – Assessment Method

Assessment Methods are not listed for this Course.

Course Details – Professional Bodies

Professional Bodies are not listed for this Course.

How to Apply

26 January 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

Course code: G420

Institution code: K12

Campus Name: Main Site

Campus code:

Points of Entry

The following entry points are available for this course:

Year 1

Entry Requirements for Advanced Entry (Year 2 and Beyond)

Entry Requirements for Advanced Entry are not listed for this Course.

International applicants

Standard Qualification Requirements

112 UCAS Tariff points including a minimum of 15 Level 3 credits at Distinction


Please click the following link to find out more about qualification requirements for this course

https://www.keele.ac.uk/study/undergraduate/undergraduatecourses/datascience/#entry-requirements

Minimum Qualification Requirements

Minimum Further Information are not listed for this Course.

English language requirements

Test Grade AdditionalDetails
English Language Entry Requirement Information are not listed for this Course.

Unistats information

Student satisfaction : 0%

Employment after 15 months (Most common jobs): 0%

Go onto work and study: 0%

Fees and funding

EU 17900.0 Year 1
England 9250.0 Year 1
Northern Ireland 9250.0 Year 1
Scotland 9250.0 Year 1
Wales 9250.0 Year 1
International 17900.0 Year 1

Additional Fee Information

Additional Fee Information are not listed for this Course.

Provider information

Address1 are not listed for this Course.
Address2 are not listed for this Course.
Address3 are not listed for this Course.
Keele
ST5 5BG

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