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Mathematics for Data Science, BSc (Hons), with industry placement

Brunel University London, United Kingdom

 
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Subject ranking

mathematics
UK / USNews
1st
mathematics
UK / USNews
1st
Computer Science & Engineering
UK / ARWU
7th

Costs

Course feesS$32.5K / year
Entertainment, books
food & rent
S$16.8K / year
Beer S$7
MacDonalds S$10
Cinema S$20
Coffee S$5
TotalS$49.3K / year

Entry requirements

A Level BBB
Diploma 2.8
International Baccalaureate 30

Scholarships

Brunel International Excellence Scholarship
£6000 for tuition
More than 50 available
British Chevening Scholarships
100% for tuition and living expenses
Limited quantity

Information

Course
Code
G1NK(1)
Upcoming
Intakes
Sep 2024
Course
Website (External)
Pathway
Programmes
See pathways
University
Information
WHATSAPP
+65 9650 3225
HOTLINE
+65 6333 1300

Duration

4 years
Graduate
2028
About the course

Data analytics (Big Data) is a major phenomenon in the 21st century, rendering traditional data processing applications inadequate and increasing the 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 the 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 supporting 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.This programme strives to meet the educational requirements of the Chartered Mathematician designation, it is seeking an award by the Institute of Mathematics and its Applications. Once granted, when this course is followed by subsequent training and experience in employment to obtain equivalent competences to those specified by the Quality Assurance Agency (QAA) for taught master's degrees.

A local representative of Brunel University London in Singapore is available online to assist you with enquiries about this course.