Postgraduate Course: Molecular Biomedicine and Informatics 1 (BIME11173)
Course Outline
| 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 |
| SCQF Credits | 80 |
ECTS Credits | 40 |
| Summary | This research subject area for the MSc by Research Integrative Biomedical Sciences covers the rapidly evolving field of Molecular Biomedicine and Informatics.
Students will select research projects aimed at improved understanding of integrative physiology, cell and molecular biology, as well as developing novel methodologies for their study 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. |
| Course description |
This course is an elective research subject for the MSc by Research Integrative Biomedical Sciences programme that investigates molecular understanding of the mechanisms and
functions of complex life processes and to understand the pathophysiology of human diseases and related therapies. An understanding of normal physiology and how its dysregualtion leads to disease is fundamental to improved health and the development of new strategies to treat disease.
This course includes a 20 week placement in leading research laboratories Investigating specialist topics relevant to human and health and disease (including cardiovascular biology, embryonic development, reproductive biology, tissue regeneration, neuroscience). Students will utilise cutting edge molecular, genetic, modelling and bioinformatic approaches to advance molecular understanding of the mechanisms and functions of complex life processes and to understand the pathophysiology of human diseases and related therapies.
The course includes a mandatory taught element to provide both essential research skills and training for biomedical science and specialised content related molecular biomedicine
and informatics. 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)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | **This course is delivered in China. Only available to students enrolled on MSc Integrative Biomedical Sciences (in China) |
Course Delivery Information
|
| Academic year 2022/23, Not available to visiting students (SS1)
|
Quota: 60 |
| Course Start |
Blocks 1-3 (Sem 1-2) |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
800
(
Programme Level Learning and Teaching Hours 16,
Directed Learning and Independent Learning Hours
784 )
|
| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
Coursework 100%«br /»
One 20-week project write up maximum 10,000 words |
| Feedback |
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 studentsupervisor 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 |
Learning Outcomes
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 key experimental research and generic/transferable 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
|
Reading List
| Resources will be made available within LEARN |
Additional Information
| Graduate Attributes and Skills |
Project planning and time management
Independent learning
Critical evaluation and analysis
Communication, numeracy and IT skills
Accountability and working with others
Laboratory and analytical research skills
|
| Keywords | Biomedicine,bioinformatics,genomics,proteomics,modelling,neuroscience,cardiovascular biology |
Contacts
| Course organiser | Dr Paul Le Tissier
Tel: (0131 6)50 3107
Email: |
Course secretary | Ms Eimear Musgrave
Tel: (0131 6)67 2157
Email: |
|
|
University Homepage