MSc Neuroimaging for Clinical & Cognitive Neuroscience / Course details

Year of entry: 2021

Coronavirus information for applicants and offer-holders

We understand that prospective students and offer-holders may have concerns about the ongoing coronavirus outbreak. The University is following the advice from Universities UK, Public Health England and the Foreign and Commonwealth Office.

Read our latest coronavirus information

Course unit details:
Research Project

Unit code BIOL62180
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

Under supervision, students will use their newly acquired brain imaging skills to carry out an investigation into a specific research question that can be addressed using brain imaging data.

Students will be required to produce a research report which will include a theoretical background, aims, description of methods, data analysis and results and a detailed discussion of the data and their theoretical and/or methodological interpretation.

In addition, students will produce a poster presentation of their research and will be required to present this for assessment.

Aims

  • Provide students with the experience of exploring brain imaging data within the context of an original piece of research.
  • Develop abilities to critically evaluate published research, develop research questions and hypotheses, explore data in novel ways, carefully interpret brain activation data within a theoretical and/or methodological context, and develop research-writing and presentation skills.

Learning outcomes

By the end of the course unit students will:

  • have an in-depth understanding of the literature specific to the area of investigation;
  • understand how to identify an appropriate research question;
  • identify and employ the appropriate research methods and analysis techniques necessary to answer their research question;
  • understand how to interpret their data;
  • understand the limitations to their data interpretation;
  • understand the requirements of scientific writing;
  • understand the requirements of data presentation;
  • understand the ethical issues and processes involved in research;
  • be able to critically evaluate literature relevant to the topic;
  • be able to generate timely and theoretically and/or methodologically grounded research questions;
  • show appropriate use of image analysis techniques.

Teaching and learning methods

Learning and teaching processes will involve regular individual or small group supervisions, guided reading and focused skills support. Regular progress will be monitored and feedback provided.

Assessment methods

  • A 10,000-word (maximum) research report based on a piece of independent research incorporating a substantial component of image analysis. This is worth 90% of the overall unit mark.
  • A poster presentation (in September) is worth 10% of the overall unit mark.

Feedback methods

No information available.

Study hours

Scheduled activity hours
Project supervision 12
Independent study hours
Independent study 588

Teaching staff

Staff member Role
Martyn Mcfarquhar Unit coordinator
Daniel Cox Unit coordinator

Return to course details