Mathematics for Data Science BSc
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 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.
Intakes
- Sep
Application Processing Time in Days: 30
Minimum English Language Requirements
English Level Description | IELTS (1.0 -9.0) | TOEFL IBT (0-120) | TOEFL CBT (0-300) | PTE (10-90) | |
---|---|---|---|---|---|
Expert | 9 | 120 | 297-300 | 86-90 | |
Very Good | 8.5 | 115-119 | 280-293 | 83-86 | |
Very Good | 8 | 110-114 | 270-280 | 79-83 | |
Good | 7.5 | 102-109 | 253-267 | 73-79 | |
Good | 7 | 94-101 | 240-253 | 65-73 | |
Competent | 6.5 | 79-93 | 213-233 | 58-65 | |
Competent | 6 | 60-78 | 170-210 | 50-58 | |
Modest | 5.5 | 46-59 | 133-210 | 43-50 | |
Modest | 5 | 35-45 | 107-133 | 36-43 | |
Limited | 4 | 32-34 | 97-103 | 30-36 | |
Extremely Limited | < 4 | < 31 | < 93 | < 30 |
Job Opportunity Potential
Making effective applications
Preparing for interviews
Make the most of your careers service, throughout your degree and beyond
Where could your degree take you?
Build your career while studying and gain an insight into the range of paths open to you
Skills Awards and Programmes
Build the skills employers look for with Ready, Brunel+, BSIP, and professional mentoring
Moving on as a graduate
We're still here for you after you finish your degree - up to 3 years after graduation
PSW Opportunity
2 Years PSW is applicable after the course completing (Bachelors level or above)
Admission Requirement / Eligibility Criteria
CBSE, CISCE, Tamil Nadu & Maharastra Boards - Pass Standard XII with 72% from 5 subjects. All other Boards - Pass Standard XII with 82% overall.
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: 6.5 (min 5.5 in all areas)
Pearson: 58 (51 in all subscores)
BrunELT: 65% (min 55% in all areas)
TOEFL: 92 (min R18, L17, S20, W17)
- Course Code: G1ND
- Course Type: Full Time
- Course Level: Bachelors/UG Degree
- Duration: 03 Year
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Total Tuition Fee:
53625 GBP
Annual Cost of Living: 12006 GBP
Application Fee: N/A
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