Our Year in Industry programme enables you to gain paid industry experience in addition to being taught by our internationally-renowned mathematicians and statisticians, ensuring that you are fully prepared for your future career.
You will be encouraged to fulfil your potential whilst studying in our friendly and dynamic school based in the multi-award-winning Sibson Building.
Our degree programme
To help bridge the gap between school and university, you’ll attend small group tutorials in Stage 1, where you can practice the new mathematics you’ll be learning, ask questions and work with other students to find solutions. You’ll study a mixture of pure and applied mathematics, and statistics, providing you with a solid foundation for your later studies.
In Stage 2, you study some core modules which build upon the material learnt at Stage 1. You also start to tailor your degree to your interests through our range of optional modules.
Throughout Stages 1 and 2, you attend specialist programme of workshops and events designed to ensure you have the best possible opportunity of securing a placement. Our in-house Placements Team will support you throughout the process. If you successfully secure a placement, you will spend a year working between Stages 2 and 3.
In Stage 3 you return from your placement and continue to explore the areas you enjoy through our optional modules.
Kezia shares her experiences studying BSc Mathematics and Statistics with a Year in Industry at Kent.
If your grades do not qualify you for direct entry to this programme, you may be able to take a four-year degree with a foundation year. For
more details see Mathematics including a Foundation Year.
You have access to a range of professional mathematical and statistical software such as:
Maple MATLAB R
Our staff use these packages in their teaching and research.
The School of Mathematics and Actuarial Science Student Society is
run by students. It aims to improve the student experience for its
members, socially and academically. In previous years the Society has
talks and workshops extra revision sessions socials and networking events. seminars and workshops employability events.
The School of Mathematics, Statistics and Actuarial Science also puts on regular events that you are welcome to attend. In the past, these
seminars and workshops employability events.
Teaching amounts to approximately 16 hours of lectures and classes per week. Modules that involve programming or working with computer software packages usually include practical sessions.
The majority of Stage 1 modules are assessed by end-of-year examinations. Many Stage 2 and 3 modules include coursework which normally counts for 20% of the final assessment. Both Stage 2 and 3 marks count towards your final degree result.
Knowledge and understanding
You gain knowledge and understanding of:
- the core principles of calculus, algebra, mathematical methods, discrete mathematics, analysis and linear algebra
- statistics in the areas of probability and inference
- information technology as relevant to mathematicians
- methods and techniques of mathematics and statistics
- the role of logical mathematical argument and deductive reasoning.
You develop your intellectual skills in the following areas:
- the ability to demonstrate a reasonable understanding of mathematics and statistics
- the calculation and manipulation of the material within the programme
- the ability to apply a range of concepts and principles in various contexts
- the ability to use logical argument
- the ability to solve mathematical and statistical problems by various methods
- the relevant computer skills
- the ability to work independently.
You gain subject-specific skills in the following areas:
- the ability to demonstrate knowledge of key mathematical and statistical concepts and topics, both explicitly and by applying them to the solution of problems
- the ability to comprehend problems, abstract the essentials of problems and formulate them mathematically and in symbolic form so as to facilitate their analysis and solution
- the use of computational and more general IT facilities as an aid to mathematical and statistical processes
- the presentation of mathematical and statistical arguments and conclusions with clarity and accuracy.
You gain transferable skills in the following areas:
- problem-solving skills relating to qualitative and quantitative information
- communication skills
- numeracy and computational skills
- information-retrieval skills, in relation to primary and secondary information sources, including through online computer searches
- information technology skills such as word-processing, spreadsheet use and internet communication
- time-management and organisational skills, as shown by the ability to plan and implement effective modes of working
- study skills needed for continuing professional development.
The programme aims to:
- equip students with the technical appreciation, skills and knowledge appropriate to a degree in mathematics and statistics
- develop students’ facilities of rigorous reasoning and precise expression
- develop students’ abilities to formulate and solve mathematical problems
- encourage an appreciation of recent developments in mathematics and statistics and of the links between theory and practical applications
- provide students with a logical, mathematical approach to solving problems
- provide students with an enhanced capacity for independent thought and work
- ensure students are competent in the use of information technology and are familiar with computers and the relevant software
- provide students with opportunities to study advanced topics in mathematics, and statistics engage in research at some level, and develop communication and personal skills
- provide successful students with eligibility for certain exemptions from examinations of the Royal Statistical Society
- enable those students who are taking a year in industry to gain awareness of the application of technical concepts in the workplace.