SHE Level 5
SCQF Credit Points 15.00
ECTS Credit Points 7.50
Module Code MMC923627
Module Leader Sharron Dolan
School School of Health and Life Sciences
Subject Biological and Biomedical Sciences
  • A (September start)
  • B (January start)

Pre-Requisite Knowledge

Skills for Professional Practice for Biosciences 1

Summary of Content

Skills for Professional Practice for Biosciences 2 has two components: IT & Communication (ICT) Skills II and Experimental Design & Analysis (EDA) II. ICT Skills II will expand the range of key skills acquired in Skills for Professional Practice for Biosciences 1, and enable student to create a professional digital presence. The student will be required to maintain a blog and personal development plan of activity and self-reflection, and participate in careers and guidance workshops to acquire skills in the preparation of CVs, interview and job seeking. EDA II will develop the philosophy and application of statistical reasoning and statistical analysis methods. Emphasis will be placed on demonstrating how statistical analysis concepts and methods are necessary for the conversion of data into meaningful practical knowledge. EDA will also enhance the student's proficiency in statistical software usage for data presentation, analysis and interpretation and communicating research. They will be introduced to questionnaire design concepts and principles and they will gain an understanding of ethical and safety issues in bioscience. In addition they will critically assess published data and review scientific papers.


IT & Communication Skills II -360b7 Creating online personal profile b7 Poster presentation skills (using Publisher) b7 Employability Skills (using online search databases, CV & application design, interview techniques) b7 Interpersonal development (PDP, reflection, working in groups and intercultural awareness) b7 Reflective practice Experimental Design & Analysis II -360b7 Understanding of statistical concepts b7 Two Sample studies b7 Analysis of variance and confidence intervals b7 Regression b7 Correlation b7 Null and experimental hypotheses b7 Significance level b7 Questionnaire design concepts and principles b7 Using a statistical software package (eg Minitab) to analyse data

Learning Outcomes

On successful completion of this module the student should be able to:" Critically assess published scientific papers" Communicate research effectively" Perform an evidence analysis and interpret the outcomes using parametric and nonparametric hypothesis tests for two sample designs" Use statistical software to aid the presentation, analysis and evidence interpretation of data" Understand ethical issues in Bioscience " Develop a personal development plan of activity and self-reflection in preparation for future career

Teaching / Learning Strategy

This module uses a blended learning approach with lectures, computer labs, tutorials, labs and online learning via GCULearn VLE. It builds on all the core skills acquired in the SPPB1 module. Students will be encouraged to work independently using both online and hard copy materials. Assessment for ICT II includes students considering and reflecting on their own personal development in preparation for the transition from student to graduate. There are 3 components to the ICT II assessment. Students have to create and maintain a reflective blog which forms part of the personal online profile website. They have to participate in 2 PDP group sessions which allows them to consider their own skills and attributes, strengths and weaknesses and the sharing of good practice. In addition they have to consider their own professional career development looking at how they can tailor their profile to reflect the skills and knowledge acquired throughout their Masters programme. Feedback from both PDP sessions helps to inform the development of the online website and blog. EDA II - critical analysis where students are presented with a problem and a data set which they have to analyse. They then have to present their findings in designing an academic poster.

Indicative Reading

Divan, A (2009). Communication skills for the Biosciences - A graduate guide . Oxford University Press, Oxford. Gaw, A (2009). Trial by fire: lessons from the history of clinical trials . Clydeside Press. Holmes, D., Moody, P., Dine, D. (2011) Research Methods for the Biosciences . 2nd Edition. Oxford University Press, Oxford. Johnson, S., Scott, J. (2014) Study and Communication Skills for the Biosciences .2nd Edition. Oxford University Press, Oxford. McCleery, R. H., Watt, T. A. & Hart, T. (2007) Introduction to Statistics for Biology , 3rd Edition. Chapman & Hall/CRC. Ott, L. & Longnecker, M. (2010) An Introduction to Statistical Methods and Data Analysis , 6th Ed. Thomson Learning. Zar, J. H. (2009) Biostatistical Analysis , 5th Ed. Prentice-Hall.

Transferrable Skills

Reading, writing and communication skills Interpretation and presentation Independent study skills Problem solving Logical thinking Numeracy ICT skills Information Literacy Working with others Ability to use numerical data Ability to apply knowledge

Module Structure

Activity Total Hours
Practicals (FT) 14.00
Tutorials (FT) 8.00
Independent Learning (FT) 109.00
Lectures (FT) 19.00

Assessment Methods

Component Duration Weighting Threshold Description
Coursework 2 n/a 50.00 45% PDP & Reflective Blog
Coursework 1 n/a 50.00 45% Critical Analysis & Poster