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Programme outcomes

QGGA students acquire specialist knowledge and a range of intellectual and practical skills which equip them to meet the growing demand by industry and academia for individuals with expertise in quantitative biology. In addition there is a strong emphasis on generic skills which enhance a student's marketability whatever career path is chosen.


Knowledge and Understanding

  • A thorough understanding of general concepts in population and quantitative genetics and genomics
  • In-depth knowledge of the specialist area chosen in Semester 2
  • A solid grounding in the statistical methods required for quantitative biology

Research and Enquiry Skills

  • Interpretation of scientific papers
  • Critical analysis and synthesis of scientific information
  • Ability to conduct independent research
  • Ability to place findings in context and suggest new research ideas
  • Ability to plan and prepare for a research project
  • Ability to execute and write up an independent research project
  • Reporting of research data in formats suitable for publication
  • Correct application of statistical methodologies and careful interpretation of results

Technical/Practical Skills

  • Identification of appropriate statistical methods for the analysis of genetic data
  • Application of quantitative genomics techniques through computer-based practicals
  • General IT skills including data retrieval and the use of spreadsheets and other databases
  • Computing skills and experience of a variety of software packages

Communication Skills

  • Acquisition of knowledge from the scientific literature
  • Accessing online information sources
  • Scientific writing (essays and reports of various lengths)
  • Preparation of the scientific section of a funding application
  • Preparation of effective Powerpoint slides for oral presentations
  • Delivery of oral presentations
  • Responding to unrehearsed questions during oral presentations

Personal Effectiveness

  • Project planning
  • Time management
  • Independent working
  • Stress management
  • Positive interaction with others in a research group environment

Personal and Intellectual Autonomy

  • Assimilation of information from different sources into a single thread
  • Critical assessment of reports in the scientific literature
  • Performance of complex statistical analyses and logical presentation of results
  • Familiarity with multiple approaches to the analysis of genomic data

 


Graduate destinations
Graduate testimonials
Programme overview





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