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SR3025: ACADEMIC SKILLS FOR SPORT SCIENCE PROFESSIONALS (2025-2026)

Last modified: 20 Jun 2025 15:10


Course Overview

This course is the cornerstone for the advanced science courses and provides you with key skills for success and was developed from employer feedback.

The course will develop specific and focused science skills to enhance your employability, including numerical, analytical, data interpretation, experimental design and problem-solving skills which are essential core elements for any graduate career portfolio.

This course and the accompanying online resources have been commended by employers and students alike.

Course Details

Study Type Undergraduate Level 3
Term First Term Credit Points 5 credits (2.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Dr M. E. Scholz

What courses & programmes must have been taken before this course?

  • Programme Level 3
  • Sports Science (SR)
  • Any Undergraduate Programme

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

Are there a limited number of places available?

No

Course Description

This course focuses on developing core research skills for medical sciences study and must be taken by all students who are directly (Articulation) entering into Level 3 Sport and Exercise Sciences, Applied Sports Science and Exercise and Health Sciences BSc programmes.

The course is designed to increase confidence and competence in numerical manipulations, to understand and interpret different ways of presenting scientific data, to comprehend simple statistical analysis and how to use it, to understand the basis of scientific investigation and the importance of hypothesis driven enquiry, to practice numerical and practical skills, and to develop transferable skills related to teamwork, time management, communication and information technology.

These skills are delivered by means of workshops, online practice questions and problem-solving tasks in the context of scientific research, and individual assessments under examination conditions.

Supervision is provided academic staff, bestowing expert advice, as well as fostering student-staff engagement and encouraging conversation and tuition among your peers and lecturers.


Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers


Details, including assessments, may be subject to change until 31 August 2025 for 1st Term courses and 19 December 2025 for 2nd Term courses.

Summative Assessments

Class Test

Assessment Type Summative Weighting 70
Assessment Weeks 9,12,14,16,18 Feedback Weeks 10,12,14,16,18

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Learning Outcomes
Knowledge LevelThinking SkillOutcome
ConceptualApplyStudents will understand different ways of presenting and interpreting scientific data.
ConceptualApplyStudents will increase their confidence and competence in numerical manipulations and practical skills.
ConceptualUnderstandStudents will understand how to design and carry out a practical scientific project.
ConceptualUnderstandStudents will understand the basis of scientific investigation and the importance of hypothesis-driven enquiry.
ProceduralAnalyseStudents be able to collecting scientific data in different ways and carry out simple statistical analysis of it.

Tutorial/Seminar Participation

Assessment Type Summative Weighting 30
Assessment Weeks 8,10,12,14,16 Feedback Weeks 9,11,13,15,17

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Learning Outcomes
Knowledge LevelThinking SkillOutcome
ConceptualApplyStudents will understand different ways of presenting and interpreting scientific data.
ConceptualApplyStudents will increase their confidence and competence in numerical manipulations and practical skills.
ConceptualUnderstandStudents will understand how to design and carry out a practical scientific project.
ConceptualUnderstandStudents will understand the basis of scientific investigation and the importance of hypothesis-driven enquiry.
ProceduralAnalyseStudents be able to collecting scientific data in different ways and carry out simple statistical analysis of it.
ProceduralUnderstandStudents will develop transferable skills related to teamwork, time management, communication and information technology skills.

Formative Assessment

There are no assessments for this course.

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
ConceptualApplyStudents will increase their confidence and competence in numerical manipulations and practical skills.
ConceptualApplyStudents will understand different ways of presenting and interpreting scientific data.
ProceduralAnalyseStudents be able to collecting scientific data in different ways and carry out simple statistical analysis of it.
ConceptualUnderstandStudents will understand the basis of scientific investigation and the importance of hypothesis-driven enquiry.
ConceptualUnderstandStudents will understand how to design and carry out a practical scientific project.
ProceduralUnderstandStudents will develop transferable skills related to teamwork, time management, communication and information technology skills.

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