BSc (Hons) in Data Science

Sophisticated data analysts are in great demand, and this programme aims to provide essential training needed while emphasizing the relevant mathematical and computational underpinning. Sectors such as the IT industry, health care, sports, finance, transport and logistics, marketing and sales all need graduates equipped with the skills gained from this programme.

Why enroll on this programme? 

The programme brings together a range of techniques required by a modern data analyst. Students will study modules in computing, data analysis, mathematics, and statistics and use acquired skills to tackle a variety of interesting real-world problems from business and industry. Good grounding in computing, mathematics and statistics is essential for creating and using algorithms for systems that identify patterns and extract value from masses of data. The programme will also develop key graduate level skills such as problem-solving and communication. 

This programme will provide students with solid grounding in mathematical thinking, statistics and computing as well as a good understanding of how these may be collectively used to solve practical problems and identify patterns in data. The programme seeks to foster excellence, innovation and creativity among students. 

Data science is one of the most in demand skills in the world nowadays and it offers several career opportunities. Graduates from this programme will be well prepared for employment as data analysts and in many different areas in need of data scientists. 

Learning Outcomes:

On successful completion of the BSc programme a student will be able to:

• B1. demonstrate an understanding of basic mathematical knowledge.
• B2. demonstrate an understanding of logical arguments, identifying assumptions made and conclusions drawn.
• B3. demonstrate a familiarity with the notion of mathematical modelling and a reasonable level of skill in comprehending, formulating and analysing them by appropriate methods.
• B4. communicate arguments and conclusions with reasonably accurately and clearly.
• B5. make competent use of computer technology in mathematics and data science.
• B6. create working solutions to a variety of computational and real-world problems using an appropriate programming language for the task.
• B7. understand professional practices of the modern IT industry which include technical and social, ethical & legal responsibilities.
• B8. apply a wide variety of degree level transferable skills including time management, team working, written and verbal presentation to both experts and non-experts, and critical reflection on own and others work.