Research and Professional Skills in Life Science

Module summary

Module code: RESE1132
Level: 5
Credits: 15
School: Engineering and Science
Department: Science
Module Coordinator(s): Susan Force



To guide students through the processes of preparing for and delivering their final year research project.
To gain an understanding of the skills and attributes required for a graduate to be successful in the employment market.

Learning outcomes

On successful completion of this course a student will be able to:

1 Demonstrate skills for preparation and management of projects including the application of sound scientific principles to study design.
2 Identify and apply appropriate health and safety and ethics considerations to scientific activities.
3 Identify and apply appropriate tools for data collection, management, processing, statistical analysis, interpretation and presentation.
4 Employ self-reflection to identify strengths and weaknesses in their own skillset and adopt a plan to develop themselves and prepare for the employment market. This should reflect University of Greenwich Graduate Attributes.

Indicative content

• An introduction to Data: Types and formats of data
• An introduction to descriptive statistics
• An introduction to basic statistics
• Use of IT to process and present data
• Use of IT to communicate information: literature searching, document preparation, presenting scientific information
• Keynote lecturers on research topics, for example - Microbiology, Parasitology, Nutrition, Genetics and Molecular Biology.
• Employability and Personal Development Planning

Teaching and learning activity

The course will be taught largely through lectures and IT workshops with online support. The principles will be explained in the lectures & online materials and the IT workshop will make practical use of the principles. Development of group working and presentational skills will also take place in IT workshop and practical work.

For the personal development planning component of the course, the learning is largely self-directed with some opportunity for face-to-face lectures and ongoing support by personal tutors/academic mentors. The student is required to share with their personal tutors their reflections and plans. The reflections are not only based on the self-evaluations but will also include regular review of learning and engagement with feedback. The personal tutors will provide formative feedback and engage with the student to assist them with their development.

At the beginning of the course students will be re-introduced to the concept of Personal Development Planning (PDP). They will then repeat and review self-evaluation tasks conducted in the previous year to assess their development.

Online materials will be provided to support both statistics elements and PDP to allow students to work at their own level and pace in order to address the differing abilities within the cohort.


Employability & Personal Development Planning Portfolio: Learning outcomes: 4. Weighting: 25%. Pass Mark 40%.
ePortfolio including reflective journal and actions plans plus a reflective study.

Mini project – parts A & B: Learning outcomes: 1-3. Weighting: 75%. Pass Mark 40%
Mini project in which students analyse & present data which is peer assessed.
Mini project Part A - Weighting: 50%.Presentation of mini project activity
Mini project Part B - Weighting: 25%. Peer Assessment.

Nature of FORMATIVE assessment supporting student learning: Statistics and professional skills: Practise quizzes provided throughout the teaching materials to help students understand & test their skills. These have been set up as multi attempts with immediate feedback. PDP: students will undertake formative tasks guided by personal tutors as they work through their self-evaluation and reflective activities as part of personal academic tutoring.

Students are not required to pass all summative assessments in order to pass the course.