Module code: BMS2076

Module Overview

This module is designed to allow the student to acquire introductory knowledge and skills to plan and conduct research. The module focuses on various research skills (including research design, qualitative and quantitative data analysis, critical review). Students will gain experience of aspects of the research process in order to prepare them for their Dissertation module.

Module provider

School of Biosciences and Medicine

Module Leader

ALLISON Sarah (Biosc & Med)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 5

Module cap (Maximum number of students): N/A

Overall student workload

Independent Learning Hours: 125

Lecture Hours: 12

Seminar Hours: 5

Tutorial Hours: 4

Practical/Performance Hours: 4

Module Availability

Semester 2

Prerequisites / Co-requisites


Module content

Indicative content includes:
• Identifying the research problem and using literature
• Critique of peer-viewed research literature
• Formulating research methodology
• Ethical considerations and data management
• Recruitment strategies
• Types of research
• Key aspects of study design
• Key statistical approaches to data analysis
• Presentation of results

Assessment pattern

Assessment type Unit of assessment Weighting
Coursework Ethics application 70
Coursework Data Analysis Abstract 30

Alternative Assessment


Assessment Strategy

The assessment strategy is designed to provide students with the opportunity to demonstrate their knowledge and understanding of the taught topics and directed study/additional reading: Thus, the summative assessment for this module consists of: Coursework: Ethics Application (70%) Data Analysis Abstract (30%) •Written Formative assessment and feedback • Prior to the assessments, lecture and/or seminar time will be spent discussing the assignment and feedback process. The marking scheme will be specified and expectations discussed. • Generic feedback will be provided by the lecturer and peers

Module aims

  • Understand the importance of research for evidence based practice
  • Provide students with the knowledge and skills to plan their own research project in their respective disciplines
  • Provide students with an understanding of different types of research design and analysis appropriate to the different research designs
  • Provide a framework to understanding the important concepts and challenges in the design and implementation of projects involving human participants

Learning outcomes

Attributes Developed
001 Demonstrate an awareness of ethical issues and data management plans associated with carrying out research in the field of study K
002 Critically evaluate key research methodologies
003 Identify the appropriate research design to address a research question or hypothesis
004 Demonstrate an understanding of basic statistical analysis techniques CT
005 Select and apply appropriate analysis techniques for a given research question and data set
006 Demonstrate effective oral communication and presentation skills PT
007 Communicate research plans clearly in written form CPT

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

Methods of Teaching / Learning

The learning and teaching strategy is designed to include lectures and seminars in order to develop subject specific knowledge and provide formative feedback, discussion and summative examinations. Students will also be provided directed study, typically involving a weekly set of tasks on SurreyLearn and/or additional reading

Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.

Reading list
Upon accessing the reading list, please search for the module using the module code: BMS2076

Other information


Programmes this module appears in

Programme Semester Classification Qualifying conditions
Food Science and Nutrition BSc (Hons) 2 Optional A weighted aggregate mark of 40% is required to pass the module
Nutrition and Dietetics BSc (Hons) 2 Compulsory A weighted aggregate mark of 40% is required to pass the module

Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2019/0 academic year.