Pure Mathematics / Statistics

Program Overview

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Pure Mathematics / Statistics

Course Overview

The Pure Mathematics and Statistics degree at Aberystwyth University provides a comprehensive understanding of mathematical concepts and statistical techniques. Students will develop skills in mathematical analysis and statistical modeling to evaluate hypotheses and analyze real-world problems.

Key Facts

• UCAS Tariff: 120 - 104
• Course duration: 3 years
• Available for September start 2025

Modules

Year 1

• Algebra *
• Calculus *
• Career Planning and Mathematical Skills Development *
• Coordinate and Vector Geometry
• Differential Equations
• Further Algebra and Calculus *
• Mathematical Analysis *
• Probability
• Statistics

Year 2

• Mathematical Physics *
• Applied Statistics
• Complex Analysis *
• Distributions and Estimation
• Introduction to Abstract Algebra
• Introduction to Numerical Analysis and its applications
• Linear Algebra *
• Real Analysis

Year 3

• Comparative Statistical Inference
• Graphs and Networks
• Group Theory
• Lebesgue Integration
• Linear Statistical Models
• Norms and Differential Equations
• Probability and Stochastic Processes
• Statistical Inference and Linear Models
• Topics in Biological Statistics
• Topology

Careers

Graduates of Pure Mathematics and Statistics make significant contributions to vital areas such as science, engineering, technology, and finance, and find employment in roles where numerical and data analysis is key.

Teaching & Learning

The degree is delivered through lectures, tutorials, and practicals. Students will be assessed through a combination of coursework, presentations, reports, and examinations.

Typical Entry Requirements

• UCAS Tariff: 120 - 104
• A Levels: BBB-BCC to include B in Mathematics
• GCSE requirements (minimum grade C/4): English or Welsh and Mathematics
• BTEC National Diploma: DDM-DMM with B in A level Mathematics
• International Baccalaureate: 30-28 with 5 points in Mathematics at Higher Level
• European Baccalaureate: 75%-65% overall with 7 in Mathematics
• English Language Requirements: See our Undergraduate English Language Requirements for this course. Pre-sessional English Programmes are also available for students who do not meet our English Language Requirements.

Program Outline

Students will develop skills in mathematical analysis, statistical modeling, hypothesis evaluation, and real-world problem analysis. The program emphasizes the importance of statisticians in processing and analyzing large datasets generated by modern society, informing decision-making and strategic planning.

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Objectives:

• Gain a deep understanding of mathematical concepts.
• Master the techniques of data collection, classification, organization, analysis, and interpretation.
• Develop skills in mathematical analysis and statistical modeling.
• Evaluate hypotheses and analyze real-world problems.
• Develop clear analytical thought processes, problem-solving abilities, and logical argumentation skills.

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Outline:

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Year 1:

• Core Modules:
• Algebra (MA10510) - 10 credits
• Calculus (MP10610) - 10 credits
• Career Planning and Mathematical Skills Development (MA10720) - 20 credits
• Coordinate and Vector Geometry (MA10110) - 10 credits
• Differential Equations (MA11210) - 10 credits
• Further Algebra and Calculus (MP11010) - 10 credits
• Mathematical Analysis (MA11110) - 10 credits
• Probability (MA10310) - 10 credits
• Statistics (MA11310) - 10 credits

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Year 2:

• Core Modules:
• Mathematical Physics (PM26020) - 20 credits
• Applied Statistics (MA26620) - 20 credits
• Complex Analysis (MA21510) - 10 credits
• Distributions and Estimation (MA26010) - 10 credits
• Introduction to Abstract Algebra (MA20310) - 10 credits
• Introduction to Numerical Analysis and its applications (MA25220) - 20 credits
• Linear Algebra (MA21410) - 10 credits
• Real Analysis (MA20110) - 10 credits
• Optional Modules:
• Advanced Dynamics (MA25710) - 10 credits
• Optional Modules:
• Comparative Statistical Inference (MA36010) - 10 credits
• Graphs and Networks (MA32410) - 10 credits
• Group Theory (MA30110) - 10 credits
• Information Theory (MA35810) - 10 credits
• Linear Statistical Models (MA36510) - 10 credits
• Norms and Differential Equations (MA30210) - 10 credits
• Probability and Stochastic Processes (MA37410) - 10 credits
• Spectral Theory (MA38010) - 10 credits
• Topics in Biological Statistics (MA35210) - 10 credits

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Assessment:

The assessment methods for this degree include:

• Coursework
• Presentations
• Reports
• Examinations

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Teaching:

• The degree is delivered through lectures, tutorials, and practicals.
• All lecturers in the Department of Mathematics hold PhDs and are actively involved in research.
• The majority of lecturers have postgraduate teaching qualifications, and new staff are required to complete the PGCTHE.
• The department also employs part-time tutors with extensive teaching experience and student demonstrators selected from undergraduate and postgraduate students.

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Careers:

Graduates of the Pure Mathematics and Statistics degree have found employment in various sectors, including:

• Statistical analysis and computational statistics
• Teaching
• Accountancy and banking
• Risk analysis and actuarial work
• Financial management and investment analysis

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Other:

• The Department of Mathematics at Aberystwyth University has a long history of teaching excellence, dating back to 1872.
• The Department offers several modules taught through the medium of Welsh.
• Employability is embedded across all teaching.
• The Aberystwyth University Careers team offers various opportunities to enhance employability prospects.
• The GO Wales and YES (Year in Employment Scheme) programs, managed by the Careers department, provide further opportunities for career development.
• The degree program includes a compulsory career planning module to enhance employability prospects and develop transferable skills.
• Students have the opportunity to complete a Personal Development Plan (PDP) at Aberystwyth, which helps them chart their personal, academic, and professional development.