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 .
This specification should be read in conjunction with:
- Reg. XXI (Postgraduate Awards) (see
- Module Specifications
- Summary
- Aims
- Learning outcomes
- Structure
- Progression & weighting
Programme summary
| Awarding body/institution | 天堂视频 |
| Teaching institution (if different) | |
| Owning school/department | 天堂视频 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
- 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.
