Data Science and Physics - BSc (Hons)
Combine the exciting fields of data science and physics to gain new insight into how the world works. From discovering statistical patterns in large datasets to using mathematical models of data to help a computer learn without direct instruction, you will graduate with the critical thinking, analytical and computational skills to solve problems in a variety of industries.
Why study Data Science and Physics at Keele University?
Accreditation and professional recognition
This programme is accredited by the Institute of Physics, unless you choose to specialise in Data Science in your final year, in which case there is no accreditation available.
"Studying Physics at Keele is a very enjoyable experience filled with opportunity and self-progression. Support is there for every turn whenever it is needed. Whenever I got so stuck on a problem or module that it seemed impossible, a lecturer has always been able to provide a clear, understandable explanation which has greatly helped me progress."
Central Science Laboratories
Develop your practical skills in Keele's state-of-the-art Central Science Laboratories
Our Foundation Year provides an excellent alternative route to Keele, providing a unique opportunity to better prepare for your chosen degree, and with guaranteed entry onto your undergraduate course once you successfully complete your Foundation Year.
This extra year of study can improve your academic skills, expand your subject knowledge, give you a better understanding of higher education and, perhaps most importantly of all, build your confidence.
Keele University is consistently ranked among the top universities for student satisfaction, and we have over 70 years' experience of teaching a foundation year to students. On the Keele Foundation Year, you'll study on campus, joining our undergraduate community from the outset, with access to all the facilities and support that you'd get as an undergraduate student at Keele.
The information within this page is for students wishing to start their studies in September. If you would like to start this course in January, please visit our January pages for further details.
Our Foundation Year allows you to develop your critical thinking, academic reading, writing, and communication study skills along with subject-specific knowledge and skills which will be invaluable in your academic studies and beyond. Upon meeting the progression criteria and successfully completing our Foundation Year, you will automatically progress into your Keele undergraduate degree with the confidence that you have the skills, and knowledge needed to successfully complete your course.
Our combined honours foundation year is a two semester programme which provides a tailored pre-degree programme of study to better prepare you for the BSc (Hons) Data Science and Physics degree. For example, the Foundations of Computational Theory and Programming module will introduce you to the key principles of Computer Science and programming, while the Advancing Physics module you enables you to move beyond Newtonian physics as we start to apply our skills to other areas such as quantum physics and relativity. Course content has been developed in collaboration with degree teaching teams, so that by the time you begin Year 1, you will be ready to excel at your studies, as the majority of our Foundation Year students do.
Find out more about the Keele Foundation Year, including information about teaching and assessment methods by visiting the Foundation Year homepage.
The module details given below are indicative, they are intended to provide you with an idea of the range of subjects that are taught to our current students. The modules that will be available for you to study in future years are prone to change as we regularly review our teaching to ensure that it is up-to-date and informed by the latest research and teaching methods. The information presented is therefore not intended to be construed and/or relied upon as a definitive list of the modules available in any given year.
|FYO-00275||Foundations of Computational Theory and Programming||15 credits|
|FYO-00215||Foundations in Mathematical Methods||15 credits|
|FYO-00205||Foundations of Physics||15 credits|
|FYO-00185||Practical and Academic Skills in Science||15 credits|
|FYO-00225||Advancing Programming||15 credits|
|FYO-00227||Advancing Computing: Client-Led Collaborative Design||15 credits|
|FYO-00209||Advancing Physics||15 credits|
Advancing Mathematical Methods
The entry grades outlined in this section indicate the likely offer or range of offers which would be made to candidates along with any subject specific requirements. This is for general information only. Keele University reserves the right to vary offer conditions depending upon a candidate’s application. Read more about our undergraduate entry requirements for United Kingdom, European Union and International students.
- Between 40-56 UCAS points from at least 1 A level/level 3 qualification or equivalent, or
- Relevant work experience
- GCSE English Language at grade 4 (C), or
- IELTS 5.5 (with 5.5 in all subtests)
- GCSE Mathematics at grade 4 (C) or above
How to apply
Applicants should apply through UCAS at www.ucas.com
Please apply for the Data Science with Foundation Year course (G422). Following the submission of your application you will be contacted by a member of our team to confirm your second subject.
Direct entry students
If you already have your qualifications, are not expecting any further results and only wish to apply to Keele, please contact the Admissions Office directly.
Our International Foundation Year is delivered on campus through Keele University International College (KUIC). Find out more about the International Foundation Year options on the KUIC website.
Discover the Keele difference
Everything’s on your doorstep at Keele, and you’ll soon feel at home and make friends wherever you go.
We help students manage their money and ensure that they receive any funding for which they may be eligible.
Make yourself more employable after graduation by taking advantage of the whole host of additional opportunities.