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Mathematics with Data Science (with Foundation year) at City, University of London - UCAS

Course options

2025 - 2026
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City, University of London has participated in the Teaching Excellence Framework. These ratings were awarded in 2023, for four years.

Open days

23Nov
City, University of London - open day event
Undergraduate

Course summary

This course is for students who are passionate about the scope of modern mathematics and excited by its applications in today’s world. The Foundation route enables those students to spend a year at University consolidating their school-level Mathematics knowledge whilst acclimatising to University-style assessments and exams. Whatever your future ambitions, a Mathematics degree will open up diverse career possibilities, such as the civil service, government agencies, research establishments, public utilities, financial companies and large corporations in every sector.

  • Understand the universal nature of mathematics as a discipline that knows no borders or language barriers
  • Master a wide range of mathematical topics and techniques, such as calculus, probability, linear algebra and mathematical physics
  • Learn to apply abstract and logical mathematical methods to real-world problems
  • 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.

Modules

In your foundation year you will develop your understanding for the fundamentals of Mathematics with six core modules introducing you to the basics.

  • Foundation Mathematics
The aim of this module is to consolidate your knowledge of mathematics and to introduce more advanced topics in the areas of calculus and algebra. The mathematical techniques taught in this module will be necessary for the understanding of modules throughout the degree.
  • Discrete Mathematics
The aim of this module is to consolidate your knowledge of a variety of mathematics topics that go under the general name of discrete mathematics. Discrete mathematics can be defined as the branch of mathematics dealing with countable sets, or in simpler terms, the mathematics of objects that are not continuous but can be usually labeled by an integer. This includes the integer numbers themselves, set theory, graph theory and the study and proof of logical statements, among others.
  • Mathematics with Applications to Economics
This module is designed to enable you to discover and understand the Mathematics underpinning some basic Economics-related problems. The module is organized around five standard topics in Economics and the corresponding Mathematical techniques that can be used to tackle them.
  • Introduction to Programming with Python
The aim of this module is to provide you with familiarity of fundamental statistical techniques and an understanding of their application in practice, along with the theory of probability which underlies them.
  • Introduction to Probability and Statistics
This module will provide you with the fundamental tools in probability and statistics which are part of the basic knowledge required for mathematicians, and necessary for the understanding of modules on the BSc.
  • Employability and Transferable Skills
This module will teach you how to enhance your employability and transferable skills that will be useful in your career development.

Assessment method

You will be assessed using a variety of methods including examinations, coursework and practical skills. The approximate percentage of the course assessment, based on 2018/19 entry is as follows: 50% written, 50% coursework.

How to apply

29Jan

This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Application codes

Course code:
G12F
Institution code:
C60
Campus name:
City, University of London
Campus code:
L

Points of entry

The following entry points are available for this course:

  • Foundation

Entry requirements

Qualification requirements

English language requirements

The minimum GCSE English Language is 4

Student Outcomes

Operated by the Office for Students
81%
Employment after 15 months (Most common jobs)
89%
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

Tuition fees

England £9250 Year 1
Northern Ireland £9250 Year 1
Scotland £9250 Year 1
Wales £9250 Year 1
EU £22250 Year 1
International £22250 Year 1

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Mathematics with Data Science (with Foundation year) at City, University of London - UCAS