BSc Mathematics for Data Science

The BSc Mathematics for Data Science course at Brunel University London is designed to provide students with a solid foundation in mathematical principles and their applications in data analysis. The program focuses on developing the skills necessary to work with complex datasets, perform statistical analysis, and draw meaningful conclusions. Students will learn how to use advanced mathematical techniques, such as linear algebra, calculus, and probability theory, to solve real-world problems in fields like finance, healthcare, and social media. Our experienced faculty members will guide students through a combination of lectures, workshops, and practical exercises, preparing them for successful careers in data science.

Additional Information

Our program offers flexible learning options, including part-time and distance learning, to accommodate the needs of working professionals or those who live outside of London. We also have a strong track record of placing students in top data science companies after graduation. With our experienced faculty members and state-of-the-art facilities, students can be confident that they are receiving a high-quality education that will prepare them for success in the field.

Unlocking Your Potential in Data Science at Brunel University London

Brunel University London is an ideal choice for students interested in data science due to its strong reputation for producing highly skilled professionals in this field. Our location in London provides access to a diverse range of industries, allowing students to gain practical experience through internships and collaborations with top companies. Additionally, our research-active faculty members are at the forefront of their fields, providing students with opportunities to engage in cutting-edge research projects.

This programme brings together a range of techniques that modern data analyst needs. You will study blocks in mathematics, statistics, data analysis and computing, and tackle a variety of interesting and engaging problems from business and industry. A good grounding in all these subjects is essential for creating and using algorithms and systems that identify patterns and extract value from masses of data.

The course will also develop key graduate skills such as problem-solving and communication, with a third of the credits at each level based on project-oriented work where students will develop their knowledge, professionalism and creativity in a supportive environment.

As an example, in your second year, you will be introduced to neural networks and deep learning. This important topic is at heart a powerful blend of linear algebra, nonlinear activation functions, vector calculus chain rule for gradients, and steepest descent optimisation with sampling. These fundamental building blocks will be brought together in theory and in software so that you will be able to build your own deep-learning neural net and be able to explain the function of every part of the algorithm. This last aspect of being able to explain the software’s function is key to the role of a mathematician as an understander as well as a user of methods, as opposed to just a consumer of software. The emphasis throughout will be on the practical rigour associated with getting deep learning to work.

Follow the four-year ‘Professional Placement’ degree programme and you‘ll benefit from our extensive experience in helping students to find well-paid work placements with blue-chip companies. Our sandwich students find that their mathematical and transferable skills are in demand in many sectors.

• GCE A-level ABC, including grade A in Mathematics or Further Mathematics.

• BTEC Level 3 Extended Diploma DDM, plus A-level Mathematics or Further Mathematics at Grade A.

• BTEC Level 3 Diploma DM in any subject with an A-level Mathematics or Further Mathematics at grade A.

• BTEC Level 3 Subsidiary Diploma D in any subject with A-levels grade AC including grade A in Mathematics or Further Mathematics.

• International Baccalaureate Diploma 30 points, including 6 in Higher Level Mathematics. GCSE English equivalent SL 5 or HL 4

• Obtain a minimum of 120 UCAS tariff points in the Access to HE Diploma with 45 credits at Level 3 and A-level in Mathematics or Further Mathematics grade A.

• T levels: Merit overall and grade A in level Maths

20 hours of work permit weekly for international students.