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MSc Bioinformatics and Systems Biology at The University of Manchester
MSc Bioinformatics and Systems Biology
Our course is an integrated programme taught by researchers at the forefront of fields spanning bioinformatics, genomics and systems biology.

MSc Bioinformatics and Systems Biology / Course details

Year of entry: 2018

Course unit details:
Research Project 2-Bioinformatics

Unit code BIOL61280
Credit rating 60
Unit level FHEQ level 7 – master's degree or fourth year of an integrated master's degree
Teaching period(s) Full year
Offered by School of Biological Sciences
Available as a free choice unit? No

Overview

For Research Project 2 (RP2) of the MSc in Bioinformatics and Systems Biology, students will be working full time over a 3 month period (late May through August). Whereas RP1 engages the student in several activities designed to develop their research, presentation and report writing skills, RP2 is more focussed on the delivery of a dissertation, reporting the research carried out in RP2. The research project in Bioinformatics and/or Systems Biology is assigned towards the middle of Semester 2, based on matching student ranked choices to projects provided (via the course director) from University staff. Each topic in the list is typically described by a title, paragraph description and references. In some cases, two or more co-supervisors will be listed, reflecting the inter-disciplinary nature of the research. Assessment is via the writing of a dissertation. RP1 and RP2, together with the taught course units, are designed to put students in a position to undertake cutting edge PhD or other research work in the general area of computational biology. In some cases work from RP1 or RP2 may lead directly to publishable material. In many cases the type of work performed for RP1 or RP2 leads to consolidation of new collaborations for students and staff, underpinning new combinations of computational and experimental work.

Aims

  • Further develop students in research project work.
  • Give students further experience in carrying out research embedded in computational groups working within an interdisciplinary environment, applying computational skills learned on the MSc course in the context of experimental data.
  • Develop scientific writing skills by producing a project report in the format of a Dissertation.
  • Develop students’ collaborative skills within a research environment, enhancing suitability for application to PhD programmes and/or other destinations, including Industrial.

Learning outcomes

  • Demonstrate in-depth knowledge on a specific area of current research in Bioinformatics and/or Systems Biology.
  • Learn how to deliver computational biology research in a multi-disciplinary environment.
  • Further develop proficiency in the application of computational methods to interpret experimental data.
  • Acquire the experience to communicate research effectively in a Dissertation format report.

Teaching and learning methods

The students will carry out their own research under guidance from their project supervisor(s).

Assessment methods

Dissertation (maximum 12,000 words; recommended 9000 – 12000 words): 60/60 credits = 100% weighting within unit

Feedback methods

Feedback will be provided by the project supervisor(s) during RP2 and through written comments on the report after the final project has been marked. The course director will arrange meetings over the summer for students to discuss the progress of their project work.

Recommended reading

Specific reading lists will be provided for each project, included in the list of project descriptions.

Study hours

Independent study hours
Independent study 0

Teaching staff

Staff member Role
Jean Marc Schwartz Unit coordinator

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