Mathematics for Data Science with Placement Bachelor of Science (with Honours) - BSc (Hons)
Course Overview - Mathematics for Data Science with Placement Bachelor of Science (with Honours) - BSc (Hons)
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...
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
Course Information
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Course Details
Information
Study Mode
Full-time
Duration
4 Years
Start Date
2027-09-01
Campus
Main Site
Application Details
13 January
Application deadline
Provider Details
Codes/info
Course Code
A58-F76
Institution Code
B84
Points of Entry
Year 1, Year 2
Entry Requirements
A level
B,B,B
A,B,B
including B in Mathematics or Further Mathematics
T Level
and grade B in A level Maths
UCAS Tariff
Not accepted
Scottish Higher
Not accepted
Access to HE Diploma
Obtain a minimum of 128 - 120 UCAS tariff points in an Access to HE Diploma with 45 credits at Level 3 and grade A in A level Mathematics or Further Mathematics
GCSE/National 4/National 5
A minimum of 5 GCSEs at grade C or grade 4 and above are required, including English Language (or grade B/5 in English Literature) and Mathematics
Scottish Advanced Higher
B,B,B
A,B,B
including B in Mathematics or Further Mathematics
Pearson BTEC Level 3 National Diploma (first teaching from September 2016)
DM
DD
in any subject and an A level at grade B in Mathematics or Further Mathematics or DD-DM in Engineering, Aeronautical Engineering, Computer Engineering, Electronic and Electrical Engineering, Mechanical Engineering, Manufacturing Engineering with Distinction in Calculus to solve Engineering Problems and Further Engineering Maths and Merit in Engineering Principles + grade B in any A level
OCR Cambridge Technical Diploma
DM
DD
in any subject and an A level at grade B in Mathematics or Further Mathematics or DD-DM in Engineering with Distinctions in Mathematics for Engineering and Applied Mathematics for Engineering and any A level at grade B or above
International Baccalaureate Diploma Programme
30.0
31.0
including grade 5 in Mathematics at Higher Level (Analysis and Approaches or Applications and Interpretation)
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
DMM
DDM
in any subject + grade B in A level Maths or Further Maths or DDM-DMM in Engineering, Aeronautical Engineering, Computer Engineering, Electronic and Electrical Engineering, Mechanical Engineering, Manufacturing Engineering with Distinction in Calculus to solve Engineering Problems and Further Engineering Maths and Merit in Engineering Principles
Leaving Certificate - Higher Level (Ireland) (first awarded in 2017)
H3,H3,H3,H3,H3
H2,H2,H3,H3,H3
including H2 in Mathematics or Further Mathematics
OCR Cambridge Technical Extended Diploma
DMM
DDM
in any subject with an A level at grade B in Mathematics or Further Mathematics or DDM-DMM in Engineering with Distinctions in Mathematics for Engineering and Applied Mathematics for Engineering
Pearson BTEC Level 3 National Extended Certificate (first teaching from September 2016)
M
D
in any subject with A levels grade BB including a B in Mathematics or Further Mathematics
OCR Cambridge Technical Extended Certificate
M
D
in any subject and A levels grade BB including grade B in Mathematics or Further Mathematics
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Fees and funding
| Region | Costs | Academic Year | Year |
|---|---|---|---|
| Channel Islands, England, Northern Ireland, Wales, Scotland, Republic of Ireland | £10,050 | 2026/27 | Year 1 |
| EU, International | £17,400 | 2026/27 | Year 1 |
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