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Programme Specifications

Programme Specification

MSc Sport Analytics and Technologies

Academic Year: 2020/21

This specification provides a concise summary of the main features of the programme and the learning outcomes that a typical student might reasonably be expected to achieve and demonstrate if full advantage is taken of the learning opportunities that are provided.

This specification applies to delivery of the programme in the Academic Year indicated above. Prospective students reviewing this information for a later year of study should be aware that these details are subject to change as outlined in our Terms and Conditions of Study.

This specification should be read in conjunction with:

  • Summary
  • Aims
  • Learning outcomes
  • Structure
  • Progression & weighting

Programme summary

Awarding body/institution º¬Ðß²ÝÊÓƵ
Teaching institution (if different)
Owning school/department º¬Ðß²ÝÊÓƵ in London
Details of accreditation by a professional/statutory body
Final award MSc
Programme title Sport Analytics and Technologies
Programme code LLPT54/LLPT55
Length of programme Full-time: one year; Part-time: typically 2yrs but up to 4 years
UCAS code N/a
Admissions criteria

http://www.lboro.ac.uk/study/postgraduate/programmes/departments/london/sports-digital-and-media-technologies/

Date at which the programme specification was published Thu, 25 Jun 2020 18:15:34 BST

1. Programme Aims

  • Use action based learning to develop insight into the potential of sport analytics and technologies and their influence on innovation in the sports industries
  • Develop analytical skills required to process, visualise, and make decisions from big data in sport
  • Develop the critical analysis skills required to evaluate and reflect on the innovation process and the behaviours required to manage innovation in sport analytics and technologies
  • Develop a critical understanding of the dynamics of sport analytics and technologies
  • Develop a critical understanding of the mobile internet and cloud technology with a special emphasis on media cloud applications shifting to mobile Internet platform and its associated challenges for sport.

2. Relevant subject benchmark statements and other external reference points used to inform programme outcomes:

  • UK Quality Code for Higher Education, The Quality Assurance Agency for Higher Education, April 2012, especially Part A: Setting and maintaining academic standards:
  • The Frameworks for Higher Education Qualifications in England, Wales and Northern Ireland (FHEQ), the QAA, August 2008
  • Master’s Degree Characteristics, the QAA, March 2010
  • The Higher Education Credit Framework for England, the QAA, August 2008
  • The Quality Code, Part B: Assuring and enhancing academic quality
  • Chapter B1: Programme Design, Development and Approval
  • Chapter B3: Learning and Teaching
  • Chapter B4: Enabling student development and achievement
  • Chapter B6: Assessment of students
  • Subject benchmark for the Hospitality, Leisure, Sport and Tourism group
  • http://www.qaa.ac.uk/Publications/InformationAndGuidance/Documents/HLST08.pdf
  • Accreditation by the Institute of Leisure and Amenity Management.
  • Master’s Degree Subject Benchmark for Business and management, the QAA, 2015

3. Programme Learning Outcomes

3.1 Knowledge and Understanding

On successful completion of this programme, students should be able to demonstrate knowledge and understanding of: 

  • K1 The complexity of new technologies and their potential and real impact on sport and associated industries
  • K2 The interrelationships between the development of new technologies and innovation in the sport industries
  • K3 The complexity of the current global operating environment for sport and the influence of analytics and technologies on this

3.2 Skills and other attributes

a. Subject-specific cognitive skills:

On successful completion of this programme, students should be able to: 

  • C1 Evaluate and analyse key concepts and theories relevant to sport analytics and technologies
  • C2 Critically analyse sport  analytics and technologies strategy and its application to various sport settings
b. Subject-specific practical skills:

On successful completion of this programme, students should be able to:

  • P1 Evaluate and analyse sport analytics and technologies data
  • P2 Critically analyse and evaluate the business strategy of a sport analytics or technology organisation
  • P3 Identify and critically evaluate the resource requirements for new sport analytics or technology business
c. Key transferable skills:

On successful completion of this programme, students should be able to: 

  • T1 Select and use appropriate investigative and research skills
  • T2 Critically evaluate a range of academic and industry sources, including examining and analysing the potential of new technology and effectively summarise these in a range of written formats.
  • T3 Work flexibly and creatively in a team whilst recognising the contribution of self and others with a range of diverse skills through self-reflection
  • T4 Communicate effectively with specialist and non-specialist audiences.

4. Programme structure

 Semester One

 Compulsory Modules (45 credits)

Code

Title

Modular Weight

LLP315

Sport Business Statistics and Analytics

15

LLP307

An Introduction to Sport Analytics

15

LLP311

Research and Insights into Sport Business

15

Optional Modules (students should select 15 credits)

Code

Title

Modular Weight

LLP121*

Principles of Data Science

15

LLP317

Strategic Sports Sponsorship

15

LLP316

Sports Business and Innovation

15

 Semester Two

 Compulsory Modules (45 credits)

Code

Title

Modular Weight

LLP008

Collaborative Project

15

LLP312

New Media and Analytics for Sport Business

15

LLP313

Digital Technologies and Sport: Evolution and Application

15

 Optional Modules (students should select 15 credits)

Code

Title

Modular Weight

LLP122*

Advanced Big Data Analytics

15

LLP310

Sport Economics and Law

15

LLP309

Sport Integrity

15

 Semester Three

Compulsory Module (60 credits)

Code

Title

Modular Weight

LLP502

Dissertation

60

*If students would like to take LLP122 Advanced Big Data Analytics in Semester 2, they must take LLP121 Principles of Data Science in Semester 1. 

 

5. Criteria for Progression and Degree Award

In order to be eligible for the award, candidates must satisfy the requirements of Regulation XXI.

All modules available in the Special Assessment Period (SAP) unless specified in the Module Specification.

6. Relative Weighting of Parts of the Programme for the Purposes of Final Degree Classification

Not Applicable.

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