Overview
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 Mathematics for Data Science course at Brunel University of London , 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.
Careers and your future
Career prospects for mathematicians are excellent. This course emphasises the relevant mathematical and statistical underpinning while providing the essential practical training needed to function in the workplace.
Graduates from this course will possess key skills that are highly sought after by any organisations that use data analytics to make data-driven business decisions, e.g., finance, health care, logistical, manufacturing and pharmaceutical sectors, government agencies, big data processing companies, and sport.
The combination of work experience and up-to-date teaching means that you will be well-equipped to follow the career you want after graduation.
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Calculus
- Data Science Project
- Linear Algebra
- Elements of Applied Mathematics
- Linear and Abstract Algebra
- Scientific Computing
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 36 months
Start dates & application deadlines
- Starting
- Apply before
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Language
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Credits
360-480
Delivered
Campus Location
- London, United Kingdom
Disciplines
Mathematics Data Science & Big Data View 154 other Bachelors in Data Science & Big Data in United KingdomExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
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- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- GCE A-level ABB-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 A level Maths
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents17400 GBP / year≈ 17400 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents9535 GBP / year≈ 9535 GBP / year
Additional Details
- For all students: £1,385 placement year
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Check for any work restrictions
Visit programme website
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Scholarships Information
Below you will find Bachelor's scholarship opportunities for Mathematics for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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