BSc

Pure Mathematics / Statistics

Key Facts

Code GGC3
  • Typical A-level offer

    ABC with A in Mathematics or BBB with B in Mathematics

  • Course Length

    3 Years

Further details on entry requirements

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In choosing to study the the Pure Mathematics and Statistics Degree at Aberystwyth University you will uncover a fascinating and challenging discipline that combines the identification and analysis of shapes and patterns with data collation and calculation. Mathematics and statistics are fundamentally important to modern society, contributing to numerous facets of life, including science, engineering, technology and finance. The the Pure Mathematics and Statistics Degree covers the essential core disciplines, supplemented by a great choice of elective specialities. You will be taught in lectures and practical classes with good staff/student ratios. Graduates of the the Pure Mathematics and Statistics Degree are in significant demand across many industries for their problem-solving abilities, clear analytical thought processes and capacity for logical argument.

Department of Mathematics: 92% student satisfaction (NSS 2016)

94% of undergraduates from the Department of Mathematics who graduated in 2015 were in employment or further education six months after graduating (DLHE 2015)

  • Overview
  • Modules
  • Employability
  • Teaching & Learning

Overview

In choosing to study the Mathematics Degree at Aberystwyth University you will uncover a fascinating and challenging discipline that combines the identification and analysis of shapes and patterns with data collation and calculation. Mathematics is fundamentally important to modern society, contributing to numerous facets of life, including science, engineering, technology and finance, opening up a wide range of career opportunities to you. Our graduates  are in significant demand across many industries for their problem-solving abilities, clear analytical thought processes and capacity for logical argument. This course allows you to concentrate on two of the main areas of mathematics: Pure Mathematics such as algebra and analysis, and Statistics, including the theory of probability. You will be taught in lectures and practical classes with good staff/student ratios.

Why study Pure Mathematics and Statistics at Aberystwyth?

Mathematics has been taught at Aberystwyth since the foundation of the university in 1872, making it the oldest Mathematics department in Wales. Despite our heritage we have continued to innovate ensuring that the degree schemes we offer will provide you with the best Mathematics degree you can possibly obtain.

This course is accredited by the Institute for Mathematics and its Applications (IMA), the UK’s learned and professional society for mathematics. The IMA exists to support the advancement of mathematical knowledge and its applications, and to promote and enhance mathematical culture in the United Kingdom and elsewhere, for the public good.

Cutting-edge research inspires our mathematics teaching: the Department of Mathematics entered almost 90% of its staff in the latest UK-wide periodic assessment of university research (the 2014 Research Excellence Framework). The results showed that one in eight of our research papers are world leading, and more than 60% are either world leading or internationally excellent. All of our research, and the impact it has outside universities, was judged to be of an international standard. You are therefore guaranteed to be taught by staff who are at the forefront of the subject.

The Department offers a number of modules taught through the medium of Welsh. Further details may be obtained from the Department.

Our Staff

Most lecturers in the Department of Mathematics are qualified to PhD level and are research active. Many have a postgraduate teaching qualification.

Modules

Please note: The modules listed below are those currently intended for delivery during the next academic year and may be subject to change. They are included here to give an indication of how the course is structured.

Employability

Career prospects

A degree in Pure Mathematics and Statistics will prepare you for career options where specialist numerical skills and logical and analytical thought are in high demand. These include working for organisations such as the Office of National Statistics and the Meteorological Office, but career paths such as accountancy and banking, risk analysis and actuarial work, finance management, investment analysis, information technology, research and lecturing are also open to you.

Transferable Skills

Studying for a degree in Pure Mathematics and Statistics will equip you with a range of transferable skills which are highly valued by employers. These include:

• research and data analysis skills
• enhanced mathematical and computational skills
• effective problem-solving and creative thinking skills
• a thorough grounding in information technology skills
• the ability to work independently
• time-management and organisational skills, including the ability to meet deadlines
• the ability to express ideas and communicate information in a clear and structured manner, in both written and oral form
• self-motivation and self-reliance
• team-working, with the ability to discuss concepts in groups, accommodating different ideas and reaching agreement

Year in Employment scheme (YES)

The University operates a Year in Employment Scheme (YES), which offers you a fantastic opportunity to take a year out between your second and third year to work in an organisation in the UK or overseas. YES provides a very rewarding and worthwhile experience, both personally and professionally, and can help you to stand out from the crowd in a very competitive job market. The University’s Career Service will help you to explore your options and secure a suitable work placement.

Teaching & Learning

What will I learn?

In the first year, you will follow a clearly defined pathway through the study of core disciplines, including algebra and calculus, coordinate and vector geometry, probability, mathematical analysis, differential equations, and statistics.

In the second and third years you will study real analysis, abstract and linear algebra, distributions and estimation, statistical methods and regression and anova. Optional modules include complex and numerical analysis, hydrodynamics, sampling, and mathematical physics.

You will also undertake a compulsory career planning module as part of your course, which will enhance your employability prospects and enable you to develop valuable transferable skills.

How will I be taught?

You will be taught through a complementary set of teaching and learning methods and approaches, ranging from formal lectures, seminars and tutorials to practicals and individual and group-based project work.

You will be assessed through a combination of coursework, presentations, reports and examinations.

You will be assigned a personal tutor throughout your degree course, who will help you with any problems or queries, whether these are academic-related or personal issues. You should feel free to contact them at any time for help and advice.

You will also have the opportunity to complete a Personal Development Plan (PDP) at Aberystwyth. This is a structured process of self-appraisal, reflection, and planning, which will enable you to chart your personal, academic and professional development throughout your time at university. By recording your academic performance, and highlighting the skills you already have and those you will need for future employability, the PDP portfolio will equip you with the necessary tools to plan effectively, develop successful approaches to study, and consider your future career options and aspirations.

Entry Requirements

A Levels ABC with A in Mathematics or BBB with B in Mathematics

GCSE requirements (grade C min):
English or Welsh, Mathematics

BTEC National Diploma:
DMM-DDM with A/B in A level Mathematics

International Students

International Baccalaureate:
28-30 points with 4-5 points in Mathematics at Higher Level

European Baccalaureate:
70% overall with 75% in Mathematics

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