Postgraduate Course: MSc Project and Dissertation (Synthetic Biology & Biotechnology) (PGBI11096)
Course Outline
| School | School of Biological Sciences |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
| Course type | Dissertation |
Availability | Not available to visiting students |
| SCQF Credits | 60 |
ECTS Credits | 30 |
| Summary | Experience of the practical, hands-on aspects of Synthetic Biology and Biotechnology as a research and development activity is an important part of Masters level training. We will offer supervised laboratory project based training in academic laboratories, both as individual and as team-based projects. In addition, there may be the opportunity to apply for an external industrial project placement, although numbers are limited. |
| Course description |
Not entered
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | For students on the MSc in Synthetic Biology & Biotechnology programme only. |
Course Delivery Information
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| Academic year 2018/19, Not available to visiting students (SS1)
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Quota: None |
| Course Start |
Block 5 (Sem 2) and beyond |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Please contact the School directly for a breakdown of Learning and Teaching Activities |
| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
Students taking Industrial Projects:
Research Project / Placement Dissertation (100%)
Students taking non-industrial Projects: Research Project / Placement Dissertation (90%)
Supervisor Report (10%) |
| Feedback |
Not entered |
| No Exam Information |
Learning Outcomes
By the end of this course students will have a wide range of skills, including:
Research skills
Project/consultative work laboratories/companies.
Experiment planning and design
Practical experimentation, data analysis, data recording, data interpretation
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Additional Information
| Graduate Attributes and Skills |
autonomy
teamwork
oral and written communication skills
time management
organisational skills |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Louise Horsfall
Tel: (0131 6)50 5363
Email: Louise.Horsfall@ed.ac.uk |
Course secretary | Mrs Jennifer Morris
Tel: (0131 6)50 5513
Email: jennie.morris@ed.ac.uk |
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