Mathematics and Finance at City, University of London - UCAS

Course options

Course summary

This course is for students who want a solid grounding in Mathematics alongside expertise in finance and actuarial science. This in-demand combination of professional skills opens up a huge choice of future career options. In particular, our graduates go on to work for international names in business and finance.

  • You will be trained in advanced mathematical techniques, economic theory – both micro and macro – and a wide range of finance topics.
  • Become a graduate in demand – our students are highly sought after in financial sector, particularly risk assessment, insurance and statistical finance
  • Master a wide range of mathematical topics and techniques, including computing and computational mathematics, statistics and probability – and how to apply them to real-world problems
  • Develop in-demand expertise in finance and actuarial science, such as financial and investment mathematics and financial reporting
  • Boost your employability with an optional paid one-year work placement – past students have secured placements at organisations such as Axa, Barclays, Bloomberg, Disney, GE Capital, IBM, J.P. Morgan, Microsoft and Toyota.
  • Learn from a multidisciplinary team combining expertise from our Department of Mathematics and Department of Economics, with finance modules taught principally by City’s experts at Bayes Business School.
Accreditation Good performance in certain modules can lead to exemption recommendations from professional examinations of the Institute and Faculty of Actuaries.

Modules

This three-year BSc Mathematics and Finance degree provides an advanced understanding of mathematics and its application to the world of finance. Year 1 -Functions, Vectors and Calculus (30 credits) -Algebra (15 credits) -Introduction to Microeconomics (15 credits) -Introduction to Macroeconomics (15 credits) -Linear Algebra (15 credits) -Introduction to Probability and Statistics (15 credits) -Financial and Investment Mathematics A (15 credits) -Skills, Careers and Employability Analysis for Mathematics students (5 credits) Year 2 -Programming and Data Science for Professions (15 credits) -Real and Complex Analysis (30 credits) -Vector Calculus (15 credits) -Fundamentals of Finance (15 credits) -Financial Reporting (15 credits) -Financial and Investment Mathematics B (15 credits) -Professional Development and Employability (5 credits) -Sequences and Series (15 credits) -Applied Mathematics (15 credits) -Numerical Mathematics (15 credits) -Applications of Probability and Statistics (15 credits) Year 3 -Differential Equations (30 credits) -Group Project (15 credits) -Advanced Complex Analysis (15 credits) -Game Theory (15 credits) -Stochastic Models (15 credits) -Operational Research (15 credits) -General Insurance (15 credits) -Corporate Finance (15 credits) -Introduction to Financial Derivatives (15 credits) -Corporate Risk Management (15 credits) -Discrete Mathematics (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) -Probability 2 (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. In the third year of your degree, a core module consists of a group project. The group is assessed by a group written report and an individual presentation on the project. 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.

Professional bodies

Professionally accredited courses provide industry-wide recognition of the quality of your qualification.

  • Actuaries, Institute and Faculty of

How to apply

Application codes

Course code:
GN13
Institution code:
C60
Campus name:
Main Site
Campus code:
-

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements

Extended Project Qualification (EPQ): We welcome applications that include the EPQ and this may be taken into account in our offer. Mixed qualifications: Please email us to check your combination and to find out what requirements we would have for your specific combination of qualifications.


Student Outcomes

Operated by the Office for Students
60%
Employment after 15 months (Most common jobs)
80%
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

No fee information has been provided for this course

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Mathematics and Finance at City, University of London - UCAS