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Mathematics with Data Science and Artificial Intelligence with a year in Industry

1 Study option · UndergraduateMain Site

Course summary

Please note, this course is being advertised subject to approval.

Our Mathematics with Data Science and Artificial Intelligence BSc is interdisciplinary, combining traditional mathematical techniques with state-of-the-art applications in the field of data science and artificial intelligence (AI). It will provide you with a sound background in the techniques of mathematics and statistics, training in data science tools, computational and programming skills, as well as an understanding of data science practice.

You will gain expertise in handling large sets of data and drawing knowledge, patterns and trends from these data sets. This degree will cover machine learning and AI, statistical and mathematical modelling and teach a range of programming languages.

Your third year includes a research project on a data science/AI topic.

Development of data analysis and programming skills is an integral part of all our mathematics degrees. Through a combination of computer labs and dedicated modules, you will learn to use the computational functions in Excel, program in R, Python and Matlab and use LaTeX for scientific writing. No previous knowledge of computing is required for any of our degrees.

How to apply

Application codes

Course code:
G121
Institution code:
L34

Historical entry grades data BETA

This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

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Student Outcomes

Operated by the Office for Students

65 Employment after 15 months (Most common jobs)

100 Go onto work and study

The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.

Fees and funding

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