Mathematical Modelling

Program Overview

The Mathematical Modelling degree at Aberystwyth University equips students with advanced mathematical skills, statistical analysis proficiency, and problem-solving abilities. The program fosters analytical thinking, logical reasoning, and data interpretation expertise, preparing graduates for careers in various fields including science, engineering, finance, and technology. Accredited by the Institute for Mathematics and its Applications, the degree contributes to the recognition of graduates as Chartered Mathematicians.

Program Outline

The program aims to equip students with expertise in mathematical analysis and statistical modelling to evaluate hypotheses and analyze real-world problems. It also provides a strong foundation in data collection, classification, organization, analysis, and interpretation. The program emphasizes the development of analytical thought processes, problem-solving abilities, and logical argumentation skills, which are highly valued by employers across various sectors. Graduates of Mathematical Modelling contribute significantly to vital areas such as science, engineering, technology, and finance, often finding employment in roles that require numerical and data analysis.

Outline:

The Mathematical Modelling program spans three years and is structured as follows:

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

Year 2:

• Core Modules:
• Mathematical Physics (PM26020) - 20 credits
• Advanced Dynamics (MA25710) - 10 credits
• Applied Statistics (MA26620) - 20 credits
• Complex Analysis (MA21510) - 10 credits
• Distributions and Estimation (MA26010) - 10 credits
• Hydrodynamics 1 (MA25610) - 10 credits
• Introduction to Numerical Analysis and its applications (MA25220) - 20 credits
• Linear Algebra (MA21410) - 10 credits
• Options:
• Introduction to Abstract Algebra (MA20310) - 10 credits
• Real Analysis (MA20110) - 10 credits

Year 3:

• Core Modules: (None)
• Options:
• Comparative Statistical Inference (MA36010) - 10 credits
• Information Theory (MA35810) - 10 credits
• Linear Statistical Models (MA36510) - 10 credits
• Norms and Differential Equations (MA30210) - 10 credits
• Numerical Solution of Partial Differential Equations (MA33520) - 20 credits
• Partial Differential Equations (MA34110) - 10 credits
• Probability and Stochastic Processes (MA37410) - 10 credits
• Theory of Elasticity (MA33410) - 10 credits
• Topics in Biological Statistics (MA35210) - 10 credits

Assessment:

The program utilizes a combination of assessment methods, including:

• Coursework
• Presentations
• Reports
• Examinations

Teaching:

The Mathematical Modelling degree is delivered through a blend of teaching methods:

• Lectures
• Tutorials
• Practicals
The Department of Mathematics boasts a faculty of PhD-qualified lecturers who are actively engaged in research. The majority of faculty members hold 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.

Careers:

Graduates of the Mathematical Modelling program have found employment in a variety of sectors, including:

• Statistical analysis and computational statistics
• Teaching
• Aeronautical engineering
• Accountancy and banking
• Risk analysis and actuarial work
• Financial management and investment analysis
The program emphasizes employability through embedded teaching practices and offers opportunities for students to enhance their prospects through initiatives like GO Wales and YES (Year in Employment Scheme) managed by the Aberystwyth University Careers team. Upon completion of the degree, graduates will have acquired valuable skills, including:
• Research and data analysis skills
• Enhanced mathematical and computational skills
• Effective problem-solving and creative thinking skills
• A thorough grounding in information technology
• The ability to work independently or as part of a team
• Time management and organizational skills
• The ability to communicate clearly in both written and spoken forms
• Self-motivation and self-reliance

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. Students have the opportunity to complete a Personal Development Plan (PDP) at Aberystwyth, which helps them chart their personal, academic, and professional development throughout their time at university.