BI4S97 - Research and Professional Practice 01 Sep 2025 - 31 Aug 2028 | Version 0

Associated Module Information

Module Code: BI4S97
Module Title: Research and Professional Practice
Faculty: Faculty of Computing, Engineering and Science
Faculty Group: Biological and Forensic Sciences
Faculty Sub Group: Biological Science
Module Leader: Amelia Grass
Module Team: Anthony Caravaggi, Tracie McKinney, Niamh Breslin, Eiry Bateman, Cerith Jones
First Intended Intake: SEP 2025 Final Year of Intake: 2027
Date Closed:
Credit Value: 30 Credit Level: 7
Language: English
Percentage of Module Taught in Welsh: 0
Equivalent Module:
HECOS codes: 100469 - environmental management 101318 - biodiversity conservation
HECOS Code Weighting: 50 50

Document Version Information

Version 0
Valid From 01 Sep 2025
Valid To 31 Aug 2028

Module Aims

  • Aim 1 - to enable students to design a professional standard research project in a relevant topic of their choice, which is feasible, and meets ethical and safety standards.

  • Aim 2 - to assess and evaluate the value and relevance of primary and secondary data, in tackling real world issues in conservation and wildlife management, and integrate knowledge and skills in data processing and mapping and apply them to novel and complex situations.

  • Aim 3 – to take responsibility for planning and developing their independent research project, enabling them to exercise broad autonomy and judgement across a significant area of work or study. This will require them to lead complex tasks and processes, taking responsibility, where relevant, for the work and research development.

Content Summary

The MSc Research project is delivered over two modules which involve the student in detailed research in a subject area relating to Wildlife and Conservation Management. In this first research-based module students will gain experience in information retrieval, develop skills in evaluating and interpreting data from dispersed sources, develop a critical approach to data evaluation, and plan a feasible research project.

Students will develop their personal research interests in relation to real-world problems and conservation challenges, and develop strategies to study these issues in detail. Students will have the opportunity to collaborate with academic staff and external partners in research initiatives which tackle emerging issues in conservation. Students are encouraged to question assumptions in conservation practice and develop problem-solving initiatives using a variety of different contemporary technological/analytical approaches, which are informed by cutting edge research and practice. 

Students will be supported in developing critical digital skills in data analysis and interpretation for the purposes of conservation which are vital to graduate employability. Analysis workshop activities are largely computer-based, working with a variety of industry-standard ecological software and a range of data types. Students will learn to edit, clean and analyse existing datasets of varying size and scope, enabling digital fluency within the field of wildlife conservation and management. Students will complete workshops introducing the fundamentals of R, with an emphasis on ecological data analysis. Key statistical models will be applied to ecological datasets to evaluate differences between groups and relationships between continuous variables (e.g. species richness). Sessions will focus on model selection and averaging to evaluate hypotheses regarding ecological processes. Students will also learn approaches to identify and compare plausible models explaining variation in ecological outcomes.

 

The module focus is on development of professional skills and students are expected to work autonomously to develop a feasible research project, under the guidance of academics. Module activities are designed to enable gain professional level digital skills, regardless of previous experience and these skills will be applied throughout the course. In this module we value the diversity of learners within the group and demonstrate a wide intercultural approach to research and conservation practice.  In addition to professional practice skills, students will also be provided with support in skills linked to career development, as a mechanism to support future graduate career success.

Learning and Teaching Methods

Activity Type Hours
Practical classes & Workshops 54
Guided Study 166
Formative assessment 10
Project Supervision 10
Summative assessment 60
Total Hours Selected 300

Learning Outcomes

# Learning Outcome
LO1 Acquire, analyse and critically appraise complex and diverse datasets to address contemporary global ecological challenges.
LO2 Design an innovative research project, informed by the critical analysis of a contemporary global ecological challenge, which considers data acquisition, legislation and the risks involved.

Module Requisites

N/A

Assessment Criteria

Assessment Category Assessment Type Description Duration Word Count Weight (%) Best of? Pass Mark
Asynchronous Assessment Practical Coursework 1 (Asynch) Formative Feedback of Draft Summative on transcript 0 3000 50 No 40
Asynchronous Assessment Research Plan / Proposal / Project/ Log 1 Formative Feedback in class Summative on transcript 0 3000 50 No 40

Assessment Matrix

Assessment Type Learning Outcomes
LO1 LO2
Practical Coursework 1 (Asynch)
Research Plan / Proposal / Project/ Log 1