Postgraduate Course: Cancer Biology 1 (BIME11166)
|School||Deanery of Biomedical Sciences
||College||College of Medicine and Veterinary Medicine
|Credit level (Normal year taken)||SCQF Level 11 (Postgraduate)
||Availability||Not available to visiting students
|Summary||This research subject area for the MSc by Research Integrative Biomedical Sciences (Life Sciences) covers the broad range of basic and translational cancer research. Students will select a 20 week practical laboratory placement in a related research specialism (including Cancer Cell Biology, Cancer Stem Cells, Bioinformatic Analysis of Cancer and Cancer Diagnostics) and complete a 10,000 word research project report. This will be underpinned by a specialised taught element providing core skills and training required for biomedical sciences research.
This course is an elective research theme for the MSc by Research in Biomedical Sciences (Life Sciences) Programme. The taught element will cover cutting edge research topics within the Edinburgh Cancer Research Centre which include genetics, cancer cell biology, drug discovery, diagnosis and prevention.
Cancer arises due to a complex combination of genetic and molecular changes within a cell that ultimately cause increased cell proliferation, decreased death and changes in differentiation, metabolism and cell motility. The integrated approach to this theme will consider all aspects of cancer biology including genetic susceptibility, treatment and prevention, molecular drivers of cancer initiation, growth and metastasis and new approaches to cancer drug discovery. Our aim is to give a sound introduction to the most up to date information on this subject area and to cutting edge approaches for investigating molecular changes in cancer cells such as super resolution imaging, proteomics and metabolomics. The laboratory placement will provide a sound introduction to the most up to date information on these subject areas and to current and advanced approaches for investigating molecular pathways in cancer, such as super resolution imaging, proteomics and metabolomics.
The course includes a mandatory taught element to provide both essential research skills and training for biomedical science and specialised content related Cancer Biology. There will be 3 contact hours per week to include key training activities such as courses in experimental design and data analysis, use of bioinformatics, programming, modelling, sessions on science communication, presentation skills and project planning and research subject specific content.
Entry Requirements (not applicable to Visiting Students)
||Other requirements|| None
Course Delivery Information
|Academic year 2022/23, Not available to visiting students (SS1)
||Blocks 1-3 (Sem 1-2)
|Course Start Date
|Learning and Teaching activities (Further Info)
Seminar/Tutorial Hours 36,
Dissertation/Project Supervision Hours 19,
Feedback/Feedforward Hours 5,
Formative Assessment Hours 10,
Programme Level Learning and Teaching Hours 16,
Directed Learning and Independent Learning Hours
|Assessment (Further Info)
|Additional Information (Assessment)
One 20-week project write up maximum 10,000 words
||Feedback will be provided to students throughout the programme, by staff involved in the core taught element, peer group activities and by individual supervisors overseeing the research projects. Formative assessments will ensure core skill development and maximise student-supervisor interaction in project development and analysis, as well as peer and supervisor feedback. In addition each research project includes formative assessments that will be independently marked and will include formal feedback.
Two anonymous markers provide feedback on the summative research project assessment.
|No Exam Information
On completion of this course, the student will be able to:
- Ability to devise an independent research project
- Develop detailed knowledge and understanding of a specific subject area of interest
- Acquire a range of core experimental research, and generic/transferrable skills.
- Acquire skills in ICT, numeracy, data presentation and statistical analysis of experimental results
- Develop written and oral presentation skills and demonstrate ability to communicate science to a range of audiences
|Resources will be made available within LEARN|
|Graduate Attributes and Skills
||Project planning and time management
Critical evaluation and analysis
Communication, numeracy and IT skills
Accountability and working with others
Laboratory and analytical research skills
|Course organiser||Dr Lesley Stark
Tel: (0131) 332 2471
|Course secretary||Miss Fiona Brodie
Tel: (0131 6)51 5997