Description
This module will provide students with core data analysis skills across platforms. They will develop quantitative skills in Excel, Jamovi and R that will serve as a solid foundation for more advanced statistical analysis training in Term 2. The module aims to provide intensive core training to build fundamental skills in analysis, in students from diverse training backgrounds. They will also become familiar with the underlying principles of the qualitative method and learn some key methods for data collection and analysis. Building knowledge across the qualitative and quantitative approaches will increase student’s competence and confidence in applying a mixed methods approach to research questions.
The module supports the development of Abertay Attributes, with professional skills and intellectual understanding supported by practical and assessment activities. Personal skills will be fostered by working with peers on practical assignments, problem solving and reflecting on skill development. Active citizenship will be developed by exploring data uses and open science practices. There will be a focus on digital skills throughout, with practical and assessment activities developing students’ understanding of a range of digital data processing and analysis tools, including those that are open source. These digital skills are important for enhancing employability, as are the transferable skills such as communication, problem-solving, perseverance and teamwork fostered in practical sessions.
Aims
The aim is to provide students with a solid foundation in data analysis across platforms and to build knowledge and competency in applying qualitative data collection methods and basic analysis techniques. By the end of the module, students should be able to critically evaluate different analytical approaches.
Learning Outcomes
By the end of this module the student should be able to:
Workloads
| Teaching and Learning Method | Hours |
|---|---|
| Lecture | 0 |
| Tutorial/Seminar | 0 |
| Supervised Practical Activity | 24 |
| Unsupervised Practical Activity | 0 |
| Assessment | 48 |
| Independent | 128 |
Guidance Notes
SCQF Level - The Scottish Credit and Qualifications Framework provides an indication of the complexity of award qualifications and associated learning and operates on an ascending numeric scale from Levels 1-12 with SCQF Level 10 equating to a Scottish undergraduate Honours degree.
Credit Value – The total value of SCQF credits for the module. 20 credits are the equivalent of 10 ECTS credits. A full-time student should normally register for 60 SCQF credits per semester.
Disclaimer
We make every effort to ensure that the information on our website is accurate but it is possible that some changes may occur prior to the academic year of entry. The modules listed in this catalogue are offered subject to availability during academic year 2026/7, and may be subject to change for future years.