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Loughborough University

Mathematics and Sport Science BSc (Hons) DPS/DIntS

Loughborough University
In Loughborough

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Important information

Typology Bachelor's degree
Location Loughborough
Start 15/09/2019
  • Bachelor's degree
  • Loughborough
  • Start:
    15/09/2019
Description

Overview
The rapidly expanding and global industry of sport and exercise relies on key insights to enhance the performance of elite athletes and address the needs of public health and exercise. By deepening your understanding and knowledge of mathematics, the human body, and how mathematics connects with physical applications you’ll be better positioned to build a career in this exciting industry.
Our Mathematics and Sport Science BSc (Hons) course is a joint honours degree, which is equally divided between maths and sport science – two very exciting subject areas. It’s run in collaboration with the internationally renowned School of Sport, Exercise and Health Sciences, which is currently ranked 1st in Europe in the ARWU.

Facilities (1)
Where and when
Starts Location
15 Sep 2019
Loughborough
Loughborough University, LE11 3TU, Leicestershire, England
See map
Starts 15 Sep 2019
Location
Loughborough
Loughborough University, LE11 3TU, Leicestershire, England
See map

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Achievements for this centre

2019
This centre has demonstrated its quality on Emagister
9 years with Emagister

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What you'll learn on the course

Probability
GCSE Mathematics
Medical training
Kinesiology
Medical
Industry
systems
Physiology
Algebra
Mechanics
Mathematics
Statistics
Psychology

Course programme

What you'll study

The Mathematics and Sport Science BSc (Hons) course has been designed to cover the core aspects of mathematics and sport science over the three years of study, while allowing for some flexibility in module choice.

The information below reflects the currently intended course structure and module details. Updates may be made on an annual basis and revised details will be published through Programme Specifications ahead of each academic year. Please see Terms and Conditions of Study for more information.

  • Year 1
  • Year 2
  • Final year

Areas studied include mathematical methods, linear algebra, probability and statistics, mechanics, sport and exercise psychology, structural kinesiology and physiology.

Semester 1 & 2

Sport Biomechanics & Kinesiology Core

Sport Biomechanics & Kinesiology

Anatomy and Physiology Core

Anatomy and Physiology

The aim of this module is to develop the students’ understanding of the structure, function and homeostatic regulation of the human body with reference to integumentary, skeletal, muscular, nervous, cardiovascular, respiratory, digestive, urinary, immune, endocrine and reproductive systems.

Foundations of Sport and Exercise Psychology Core

Foundations of Sport and Exercise Psychology

The aim of this module is for the student to examine a variety of contemporary topics in sport and exercise psychology.

Semester 1

Linear Algebra 1 Core

Linear Algebra 1

The aims of this module are: to introduce basic ideas of vector spaces; to introduce linear transformations and explain their relationship to matrices; to provide the basic methods of linear algebra for other modules throughout all mathematics-based programmes.

Mathematical Methods 1 Core

Mathematical Methods 1

The aims of this module are to to introduce basic ideas of differential calculus and integration and provide practice in common techniques used in mathematical applications.

Introductory Probability and Statistics Core

Introductory Probability and Statistics

A module to introduce the basic concepts of probability and statistics and illustrate the relevance of these concepts to practical problem solving.

Semester 2

Linear Algebra 2 Core

Linear Algebra 2

Mechanics Core

Mechanics

This module introduces the basic ideas of kinematics and particle dynamics, connecting the mathematics with physical applications.

Mathematical Methods 2 Core

Mathematical Methods 2

The aims of this module are: to introduce basic ideas of differentiation and integration in several variables and differential equations; to illustrate some of the connections between differential calculus and applications.

Areas studied include analysis, probability theory, mathematical methods, biomechanics, and physiology.

Semester 1 & 2

Physiology of Exercise and Training Core

Physiology of Exercise and Training

The aim of this module is to further students’ understanding of the acute physiological responses to exercise and chronic physiological adaptations to exercise and training in humans and how these responses are regulated together with the influence of environmental factors and fatigue on physiological processes. A further aim is to develop students’ practical laboratory/experimental skills in human and exercise physiology.

Biomechanics of Sport Core

Biomechanics of Sport

Semester 1

Analysis 1 Core

Analysis 1

An introduction to the notion of convergence as this applies to sequences and series, this module provides a firm basis for future modules in which the idea of convergence is used.

Mathematical Methods 3 Core

Mathematical Methods 3

This module provides an introduction to advanced mathematical methods underpinning mathematics-based programme and further practice in common techniques used in mathematical applications. It also introduces Fourier series and Laplace transforms.

Probability Theory Core

Probability Theory

The aims of this module are: to introduce basic concepts and methods of probability theory; to provide the requisite theoretical background for later probability and statistics modules.

Applied Statistics Optional

Applied Statistics

The aims of this module are: to introduce statistical methods and associated theory for design and analysis of experiments; to reinforce statistical software skills; to reinforce skills regarding the interpretation of statistical tests.

Introduction to Differential Geometry Optional

Introduction to Differential Geometry

Rings and Polynomials Optional

Rings and Polynomials

Introduction to Mathematics Education Optional

Introduction to Mathematics Education

The aims of this module are to:introduce students to what it means to learn and teach mathematics; encourage them to reflect critically on their own experiences ; consider issues that are central to effective education in mathematics.

Semester 2

Analysis 2 Core

Analysis 2

This module introduces the basic analytical theory of functions of one and several variables.

Complex Variables Core

Complex Variables

The aim of this module is: to introduce students to the classical results in the theory of analytic functions of a complex variable.

Expert Performance in Sport Core

Expert Performance in Sport

The aim of this module is to further students’ understanding of the major theories and factors underpinning the psychology of sport expertise.

Areas studied include compulsory modules in sport biomechanics, physiology, and psychology, and optional modules chosen from all areas of pure and applied mathematics and sport science.

Semester 1 & 2

Applied Psychology in Competitive Sport Core

Applied Psychology in Competitive Sport

Physiology of Sport, Exercise and Health Core

Physiology of Sport, Exercise and Health

Advanced Sports Biomechanics Core

Advanced Sports Biomechanics

Semester 1

Introduction to Mathematics Education Optional

Introduction to Mathematics Education

The aims of this module are to:introduce students to what it means to learn and teach mathematics; encourage them to reflect critically on their own experiences ; consider issues that are central to effective education in mathematics.

Number Theory Optional

Number Theory

The aim of this module is to provide students with fundamental methods involved in number theory and some of its diverse applications.

Introduction to Dynamical Systems Optional

Introduction to Dynamical Systems

Introduces the notions and methods of the theory of dynamical systems with an emphasis on its applications.

Operational Research Optional

Operational Research

The aims of this module are to introduce students to the nature of operational research and its techniques and to study linear programming and network optimisation in detail with appropriate modelling techniques.

Graph Theory Optional

Graph Theory

The aims of this module are to: introduce students to modern concepts and methods of combinatorics and graph theory; provide powerful advanced tools to students in probability, number theory, optimal control, algorithmic complexity etc, applicable to modelling of a wide range of phenomena.

Semester 2

Studies in Science & Mathematics Education Optional

Studies in Science & Mathematics Education

The aim of the module is to develop a range of skills in the student and to offer an early taste of teaching to those interested in pursuing it, or a related field, as a career.

Analytical Dynamics Optional

Analytical Dynamics

The aims of this module are to introduce students to the basic notions and methods of classical analytical dynamics.

Game Theory Optional

Game Theory

An introduction to the rigorous mathematical tools which are useful in economics analysis- to give students a solid mathematical background in game theoretic models.

Mathematical Biology Optional

Mathematical Biology

The aims of this module are: i) To introduce some mathematical models of biological systems and various techniques for analysing them; ii) To enable students to understand how mathematics can be used to model biological systems.

Medical Statistics Optional

Medical Statistics

The aims of this module are: to introduce statistical methods and associated theory for design and analysis of medical trials; to reinforce statistical software skills; to reinforce skills regarding the interpretation of statistical tests.

Programme specification

Module specification


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