EMAGISTER CUM LAUDE
      Loughborough University

      Mathematics and Sport Science BSc (Hons) DPS/DIntS

      Loughborough University
      In Loughborough

      Price on request
      Prefer to call the centre directly?
      01509... More
      Want to speak to an Advisor about this course?

      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

      Questions & Answers

      Ask a question and other users will answer you

      Achievements for this centre

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

      How do you get the CUM LAUDE seal?

      All courses are up to date

      The average rating is higher than 3.7

      More than 50 reviews in the last 12 months

      This centre has featured on Emagister for 9 years

      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


      Compare to choose better:
      See all