7B022B - Applied Biomedical Science Investigations 01 Sep 2027 - 31 Aug 2033 | Version 0
Associated Module Information
| Module Code: | 7B022B | ||
|---|---|---|---|
| Module Title: | Applied Biomedical Science Investigations | ||
| Faculty: | Faculty of Computing, Engineering and Science | ||
| Faculty Group: | Applied Science | ||
| Faculty Sub Group: | Biology and Chemistry | ||
| Module Leader: | Aaron Wall | ||
| Module Team: | Sioned Owen, Aled Bryant, Emanuele Alves | ||
| First Intended Intake: | SEP 2027 | Final Year of Intake: | 2032 |
| Date Closed: | |||
| Credit Value: | 30 | Credit Level: | 7 |
| Language: | English | ||
| Percentage of Module Taught in Welsh: | 33 | ||
| Equivalent Module: | |||
| HECOS codes: | 100265 - biomedical sciences | ||
| HECOS Code Weighting: | 100 | ||
Document Version Information
| Version | 0 |
|---|---|
| Valid From | 01 Sep 2027 |
| Valid To | 31 Aug 2033 |
Module Aims
The main aims of the module are:
Enable critical synthesis of contemporary biomedical science literature to develop and justify innovative laboratory approaches
Develop advanced data analytics skills for interpreting complex datasets derived from cutting-edge biomedical methodologies and applying them to laboratory practice
Foster independent, research-informed thinking to integrate scientific innovation with established biomedical laboratory procedures, preparing students for advanced professional practice
Content Summary
This module provides an advanced exploration of contemporary biomedical science, focusing on the integration of cutting-edge research and analytical techniques into laboratory practice. Students will critically evaluate current scientific literature to inform the design of innovative experimental approaches, fostering a deeper understanding of how emerging discoveries can be translated into practical applications. Emphasis is placed on developing the ability to identify gaps in existing knowledge and propose novel, evidence-based laboratory strategies.
In parallel, the module equips students with the skills to generate and interpret advanced data analytics derived from modern biomedical methodologies. Through engagement with high-throughput technologies and complex datasets, students will learn to apply robust analytical frameworks to enhance the accuracy, efficiency, and relevance of laboratory investigations.
The purpose of this module is to bridge the gap between research innovation and routine laboratory practice, ensuring graduates are prepared to operate at the forefront of biomedical science. Its contribution to the MSc Biomedical Science programme lies in strengthening critical thinking, data literacy, and translational skills, enabling students to contribute effectively to research, diagnostics, and development in professional and clinical laboratory settings.
Learning and Teaching Methods
| Activity Type | Hours |
|---|---|
| Practical Classes & Workshops | 56 |
| Guided Study (including 10.5 hours digital) | 20 |
| Independent /self-directed study | 134 |
| Formative Assessment | 30 |
| Summative Assessment | 60 |
| Total Hours Selected | 300 |
Learning Outcomes
| # | Learning Outcome |
|---|---|
| LO1 | Synthesise and integrate current literature to develop innovative laboratory approaches to biomedical science |
| LO2 | Generate and critically evaluate advanced biomedical data derived from emerging laboratory methodologies, applying findings within established laboratory practice while demonstrating awareness of laboratory accreditation standards, quality management systems, governance frameworks, and regulatory requirements, including ISO 15189 principles. |
Module Requisites
N/A
Assessment Criteria
| Assessment Category | Assessment Type | Description | Duration | Word Count | Weight (%) | Best of? | Pass Mark |
|---|---|---|---|---|---|---|---|
| Asynchronous Assessment | Practical Written Work | Individual Online: Students will be asked to produce a written report of a laboratory practical of their choosing. The report will mimic the format of their final research project report (albeit in a smaller scale). Students must include an abstract, introduction, materials and methods, results (with graphical figures), a discussion, and references | 0 | 4500 | 75 | No | 50 |
| Asynchronous Assessment | Observational Journal | Individual Online: An observational journal was selected as the primary method for documenting scientific experiments because it supports the systematic recording of observations, methodological decisions, reflective commentary, and emerging scientific understanding throughout the experimental process | 20 | 2250 | 25 | No | 50 |
Assessment Matrix
| Assessment Type | Learning Outcomes | ||
|---|---|---|---|
| LO1 | LO2 | ||
| Practical Written Work | ✔ | ✔ | |
| Observational Journal | ✔ | ✔ | |