Data Science
(BSc) Data Science
Entry for 2025
FHEQ level
This course is set at Level 6 in the national Framework for Higher Education Qualifications.
Course learning outcomes
Cognitive Skills: demonstrate systematic knowledge and understanding of a core of probability theory and statistics, basic mathematics and mathematical modelling; demonstrate knowledge and understanding of some choice of advanced topics.
Cognitive Skills: demonstrate systematic knowledge of a core of data science and machine learning.
Cognitive Skills: demonstrate systematic awareness of ethical and professional responsibilities underpinning decisions and practice.
Practical Skills: demonstrate competence in the use of mathematical methods and techniques in problem solving and modelling, explore, and where feasible solve, mathematical problems, by selecting appropriate techniques and demonstrate knowledge and understanding of the process of mathematical or statistical modelling.
Practical Skills: demonstrate ability to collect, process and analyse large data sets as well as competence in interpreting the results, showing awareness of the importance of statistical assumptions.
Practical Skills: be proficient in computer programming and the use of one or more mathematical and statistical computer packages.
Transferable Skills: take decisions in complex and unpredictable contexts.
Transferable Skills: communicate scientific information orally and in writing.
Transferable Skills: take responsibility for their own learning and manage time appropriately.
Full-time course composition
Please note that the University will use all reasonable endeavours to deliver courses and modules in accordance with the descriptions set out here. However, the University keeps its courses and modules under review with the aim of enhancing quality. Some changes may therefore be made to the form or content of courses or modules shown as part of the normal process of curriculum management.
The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.