Mathematics with Data Science

This degree combines mathematics, teaching you sought-after skills for real-world problem solving, with data science where it focuses on practical and theoretical aspects of techniques and approaches for extracting insights from large collections of data, opening doors to possible careers in a wide variety of industries such as business, retail and finance.

Whether you are managing an investment portfolio, encrypting financial transactions or constructing a machine-learning algorithm to identify hidden patterns in your customer database you will likely be doing it through a combination of Mathematics and Data Science methods.

The Mathematics with Data Science BSc opens doors to the widest range of careers, because virtually all industries need graduates with skills in these disciplines. The confidence and knowledge you gain at City St George's will open doors to a rewarding and satisfying career.

• Understand the universal nature of mathematics as a discipline that knows no borders or language barriers

• Master a wide range of mathematical and data science topics and techniques, such as calculus, probability and machine learning

• Learn to implement sophisticated algorithms, data mining techniques artificial intelligence with real world applications

• Boost your employability with an optional paid one-year work placement – past students have secured placements at organisations such as Axa, Barclays, Bloomberg, Disney, Microsoft, Toyota and Warner Music

• Take special career development modules to understand mathematics’ essential role across all industries and the opportunities available to you.

Explore your interests through a research project chosen from a wide variety of mathematical topics – past projects have included everything from life-saving mathematics in medical imaging, to wallpaper patterns.

You can find extensive information about the modules you can expect to study on this course on our website:
https://www.city.ac.uk/prospective-students/courses/undergraduate/mathematics-with-data-science

Assessment is based on examination and coursework. Marks are weighted in a 1:3:6 ratio for the three years of study to produce an overall aggregate.

Types of assessment

• Set exercises or coursework, which you take home and complete with the aid of your notes
• Formal unseen written examinations every year
• Class or online tests
• Group assessments, such as written reports, also form the basis of assessment for some modules.
• Also, a small number of modules require students to give presentations.

Feedback on assessment
You will normally be provided with feedback within three weeks of the submission deadline or assessment date. This would normally include a provisional grade or mark. For end-of-module examinations or an equivalent significant task (e.g. an end of module project), feedback will normally be provided within four weeks.

The timescale for feedback on final-year projects or dissertations may be longer.