Course overviewMathematics with Data Science BSc (Hons) course overview
Mathematics is the universal language of today’s global economy. Data Science is increasingly the tool for analysing real world complexity and decision-making.
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.
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.
This course is subject to approval.
This course will meet the educational requirements of the Chartered Mathematician designation, awarded by the Institute of Mathematics and its Applications, when it is followed by subsequent training and experience in employment to obtain equivalent competences to those specified by the Quality Assurance Agency (QAA) for taught masters degrees.
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 (15 credits)
Mathematical Processes for Finance (15 credits)
Groups and Symmetry (15 credits)
Mathematical Biology (15 credits)
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Teaching and assessment
The Mathematics with Data Science BSc (Hons) at City is an inspiring degree, delivered in a supportive, energised environment by experienced, knowledgeable academic staff engaged in cutting-edge research.
Our teaching and learning methods are designed to develop your knowledge and enthusiasm for the subject while stimulating your engagement and participation in the learning process.
You will be supported and encouraged to take responsibility for your own learning and develop your academic self-confidence.
To ease the transition from secondary education to undergraduate study, we provide small weekly group tutorials in the first year.
These allow students the opportunity to ask questions and receive expert answers, as well as provide intensive individual assistance for core module topics. In the final year, you will carry out your own research project chosen from a wide variety of mathematical topics.
Past research projects have included everything from the mathematical theory of information and life-saving mathematics in medical imaging, through to wallpaper patterns and determining the number of guards required in an art gallery.
Through the environment that we create for your learning, like for many of our alumni, we are sure that the confidence and knowledge you will gain at City will open doors to a rewarding and satisfying career.
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.
Fees and funding
Fees for year 2022/23
The fees indicated are for undergraduate entry in the 2022/ 23 academic year only. Fees for future years may be subject to an inflationary increase, which is normally 2%.
- Fee waivers are available for this course.
- Means tested support is available for 2022/23 entry.
Future finance loans
Future Finance offers students loans of between £2,500 and £40,000 to help cover tuition fees and living expenses. All students and courses are considered. All loans are subject to credit checks and approval for further details please visit our finance pages.
Some of our degrees may involve additional expenses which are not covered by your tuition fees. Find out more about additional expenses.
City graduates are equipped with a variety of mathematical skills and find a wide range of careers open to them. The ability to think logically and abstractly, to solve problems and to model real-world phenomena are sought by employers.
Given City’s location many recent graduates have been employed by large firms in the financial or industrial sectors, while others have gone into education, Civil Service and research. Students often go on to work in Data Science companies, or Data Science teams in companies such as:
- JLT Group
- Ernst and Young.
Given City’s location and links to business, it is unsurprising that many graduates have been employed by large firms in the financial, industrial or retail sector. Others have gone into education, civil service, research and further study.
Students that complete a placement year have been found to be more likely to achieve higher grades, secure a graduate-level job and earn a higher salary.
Placements can offer the opportunity to contribute to real-world projects. Our students have previously secured placements and internships at organisations such as:
- GE Capital
- J.P. Morgan
- Warner Music.
The School of Science and Technology has its own dedicated placements team, the Professional Liaison Unit (PLU).
The PLU provides you with support and guidance in securing a relevant placement, through longstanding relationships with a diverse range of companies. The PLU also collaborates with our Careers Service to support you if you wish to take a summer internship at the end of an academic year.
How to apply
Applications for degree courses must be made through the Universities and Colleges Admissions Service (UCAS).
This course is subject to approval.
You can apply through your school or college using the Apply system, which enables you to submit your application directly to the UCAS website.
You can apply to up to five universities or institutions on the form. The UCAS code for City, University of London is C60.
Please take care to enter the correct course code when applying, particularly for subjects with a Foundation year or with BEng (Hons) and MEng (Hons) or BSc (Hons) and MSci (Hons) options.
UCAS has implemented an 'invisibility of choices' policy so that, on the initial application and while you are receiving decisions, each institution can see only their entry and not those of other institutions you have chosen. This ensures that your application for a course at City is considered solely on your academic and personal qualities.
You should submit your completed application form to UCAS with a £26.50 application fee. If you want to apply to City, University of London only, you can make a single choice application at a reduced rate of £22.
For enquiries about the admissions process at City, please contact our Admissions Office
Complete the Admissions enquiry form
Call: +44 (0)20 7040 8716.
If your enquiry is about admission to a particular course, please use the contact details provided on the course page.
When to apply
Your application for entry in September 2022 should arrive at UCAS between September 2021 and 26th January 2022. Applications that arrive after 26th January 2022 will be considered only at City's discretion.
Address: Universities and Colleges Admissions Service (UCAS), Rosehill, New Barn Lane, Cheltenham, Gloucestershire, GL52 3LZ
- from inside the UK 0871 468 0468
- from outside the UK +44 (0)871 468 0468
For callers with hearing difficulties:
- from inside the UK use the Text Relay service on 18001 0871 468 0468
- from outside the UK dial +44 151 494 1260 (text phone) and then ask the operator to dial 0871 468 0468.
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