BSc in Mathematics for Data Science
Brunel University London, United Kingdom
First Year Course Fee
USD 24,489
Course Accredited By
IMA
Data analytics (Big Data) is a major phenomenon in the 21st century, there is an increasing demand for data analysts trained in this area who can collate, interpret and draw value from complex data sets.
- 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.
Enrollment Cycles
- September 2023
UK entry requirements
- 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.
EU and International entry requirements
- If you require a Tier 4 visa to study in the UK, you must prove knowledge of the English language so that we can issue you a Certificate of Acceptance for Study (CAS). To do this, you will need an IELTS for UKVI or Trinity SELT test pass gained from a test centre approved by UK Visas and Immigration (UKVI) and on the Secure English Language Testing (SELT) list. This must have been taken and passed within two years from the date the CAS is made.
English language requirements
- IELTS: 6 (min 5.5 in all areas)
- Pearson: 59 (59 in all sub scores)
- BrunELT: 58% (min 55% in all areas)
- TOEFL: 79 (min R18, L17, S20, W17)
- At Brunel, we aim to make your transition into the university style of learning as easy as possible. So in the first few weeks of first year you’ll start your learning in small classes, a variety of teaching styles will be introduced during this time. By second year you’ll be learning through lectures, seminars and in computer labs
- In your final year you’ll be able to select some optional modules, allowing you to pursue your interests. In this year you will also complete a Data Science Project, supported by an academic staff member, providing you with the opportunity to demonstrate the professional skills you’ve acquired throughout your studies.
- This course can be studied 3 years full-time or 4 years full-time with placement, starting in September.
Year 1
Compulsory
- MA1611 - Calculus
- MA1612 - Fundamentals of Mathematics
- MA1620 - Linear Algebra
- MA1664 - Elements of Applied Mathematics
- MA1670 - Probability and Statistics I
- MA1691 - Programming and Mathematical Projects
Year 2
Compulsory
- MA2612 - Multivariable Calculus
- MA2647 - Mathematics of Deep Learning
- MA2670 - Probability and Statistics II
- MA2679 - Statistical Programming for Data Analytics
- MA2682 - Discrete Mathematics and Operational Research
- MA2690 - Professional Development and Project Work
Year 3
Compulsory
- MA3671 - Experimental Design and Regression
- MA3674 - Statistical Data Science and Machine Learning
- MA3697 - Data Science Project
Optional
- MA3667 - Mathematical Finance
- MA3676 - Stochastic Models
- MA3676 - Stochastic Model
- UK
- £9,250 full-time
- £1,385 placement year
- Fees quoted are per year and may be subject to an annual increase. Home undergraduate student fees are regulated and are currently capped at £9,250 per year; any changes will be subject to changes in government policy.
- Fees for EU applicants – For entry in 2021/22 academic year, eligible EU applicants will have the same tuition fees as UK students to support EU students during this transition period. These fees will be applied for the duration of the course. EU fees for 2022 entry are not yet confirmed.