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
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 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.
Modules
This three-year BSc Mathematics with Data Science degree is focused on pure mathematics with real 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. -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. -Codes (15 credits) -Techniques for Data Science (15 credits) -Group project (15 credits) -Principles of Data Science (15 credits) Introduction to Artificial Intelligence (15 credits) -Machine Learning (15 credits) -Differential Equations (30 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 -Mathematical Processes for Finance (15 credits) -Groups and Symmetry (15 credits) -Mathematical Biology (15 credits)
Assessment method
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.
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:
- G120
- 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
Entry requirements
Qualification requirements
UCAS Tariff - 136 points
A level - AAB
Access to HE Diploma
Pearson BTEC Level 3 National Diploma (first teaching from September 2016) - DD
International Baccalaureate Diploma Programme - 33 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
Employment after 15 months (Most common jobs)
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.
Provider information
City, University of London
Northampton Square
City of London
EC1V 0HB