23Nov
UndergraduateCity, University of London has participated in the Teaching Excellence Framework. These ratings were awarded in 2023, for four years.
Open days
Course summary
Explore a fascinating range of mathematical topics with this versatile degree, which is focused on mathematics to prepare you for your future career. This four-year MSci degree is focused on pure mathematics with real-world applications. As you progress, you will have increasing choice and flexibility about what you choose to study. Whether you are managing an investment portfolio, encrypting financial transactions, building the next smart-phone or predicting the path of a hurricane, you will be doing it with Mathematics. A maths degree opens doors to the widest range of careers, because virtually all industries need graduates with mathematical skills. The confidence and knowledge you gain at City 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 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.
Modules
This four-year MSci maths degree is focused on pure mathematics with real-world applications. As you progress, you will have increasing choice and flexibility about what you choose to study. Year 1 consists of modules that make up 125 credits. All modules are core. -Functions, Vectors and Calculus (30 credits) -Algebra (15 credits) -Linear Algebra (15 credits) -Introduction to Probability and Statistics (15 credits) -Logic and Set Theory (15 credits) -Number Theory and Cryptography (15 credits) -Introduction to Modelling (15 credits) -Skills, Careers and Employability Analysis for Mathematics students (5 credits) Year 2 consists of modules that make up 125 credits. There are seven core modules and 15 credits of elective modules. -Programming and Data Science for the Professions (15 credits) -Real and Complex Analysis (30 credits) -Vector Calculus (15 credits) -Sequences and Series (15 credits) -Decision Analysis (15 credits) -Applied Mathematics (15 credits) -Numerical Mathematics (15 credits) -Professional Development and Employability (5 credits) -Applications of Probability and Statistics (15 credits) Year 3 consists of modules that make up 120 credits. There are two core modules, a core Group Project and 60 credits of elective modules. -Differential Equations (30 credits) -Codes (15 credits) -Group Project (15 credits) -Advanced Complex Analysis (15 credits) -Stochastic Models (15 credits) -Operational Research (15 credits) -Probability and Statistics 2 (30 credits) -Graph Theory (15 credits) -Game Theory (15 credits) -Dynamical Systems (15 credits) -Introduction to the Mathematics of Fluids (15 credits) -Introduction to Mathematical Physics (15 credits) -Mathematical Processes for Finance (15 credits) -Groups and Symmetry (15 credits) -Mathematical Biology (15 credits) For an MSci (Honours) degree student to progress from year 3 to year 4, year 3 requirements must have been satisfied, and in addition an overall aggregate of 50% achieved in year 3. -MSci Project (30 credits) -The Mathematics of Information (15 credits) -Forecasting (15 credits) -Perturbation Methods (15 credits) -Mathematics for Quantum Computing (15 credits) -Game Theory (15 credits) -Graph Theory (15 credits) -Mathematics: algorithms, computation and experimentation (15 credits) -Dynamical Systems (15 credits) -Machine Learning (15 credits) -Data Visualisation (15 credits) -Deep Learning (15 credits) -Principles of Data Science (15 credits) -Introduction to Artificial Intelligence (15 credits)
Assessment method
Assessment is based on examination and coursework. Marks are weighted in a 1:3:6:6 ratio for the four 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.
- There is a project in the fourth year. Also, a small number of modules require students to give presentations.
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:
- G103
- Institution code:
- C60
- Campus name:
- City, University of London
- Campus code:
- L
Points of entry
The following entry points are available for this course:
- Year 1
- Year 2
Entry requirements
Qualification requirements
UCAS Tariff - 128 points
A level - ABB
Access to HE Diploma
Pearson BTEC Level 3 National Diploma (first teaching from September 2016) - DD
International Baccalaureate Diploma Programme - 31 points
GCSE/National 4/National 5
Contextual offers We apply a contextual admissions process for UK undergraduate applicants who have been in care or are the first in their family to enter Higher Education. Those who are eligible may receive a conditional offer with reduced entry requirements, typically two grades lower for A-levels and one grade (or eight tariff points) for BTEC or mixed qualifications. Read our contextual admissions policy for eligibility criteria and further information. Mixed qualifications Typically the only scenario where we make conditional offers expressed as UCAS tariff points is when an applicant presents mixed qualifications, most typically a combination of A-levels and a BTEC qualification. In this instance, we may make a tariff point offer to present the applicant with more flexibility on equivalencies. In this case, please be aware that we may still ask for a specific score across certain qualifications and subjects. E.g. 'This offer is conditional on you achieving 128 tariff points. This must include A-level Mathematics at grade B.' Subject exclusions We do not accept General Studies and Critical Thinking. These subjects will not be included in any conditional offer we make. Extended Project Qualification (EPQ)
English language requirements
If your first language is not English, we will require evidence of English language proficiency. Minimum requirements are: IELTS: 6.0 overall with a minimum of 6.0 in each component. GCSE: A minimum of grade 4 (C) in English. PTE Academic: 59 overall with a minimum of 59 in each component.
Student Outcomes
Operated by the Office for Students
There is no data available for this course. For further information visit 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.
Provider information
City, University of London
Northampton Square
City of London
EC1V 0HB