MSc RESEARCH METHODS IN PSYCHOLOGY

Title:

Programming for Behavioural and Cognitive Neurosciences

Code:

PYMPBC1

Convenor:

DR Peter Scarfe

Summary:

Being able to program experiments and understand experimental design in an essential component of doing scientific research in Behavioural and Cognitive Neuroscience.  This course will introduce you to programming and experimental design in Matlab. The primary focus will be on Matlab is this is one of the most widely used programming languages in Psychology and Cognitive Neuroscience.

Assessment Method:

Practical 100%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Methods in Cognition and Neuroscience

Code:

PYMMCN

Convenor:

PROF Philip Beaman

Summary:

The purpose of this module is to inform students about some of the methods used in the study of cognition and neuroscience research. The focus of the module is on methodological issues in the study of cognitive psychology and neuroscience, for example understanding the function of the brain using fMRI, EEG and TMS. Students read set material and discuss it in a series of seminars. Students are required to make informal presentations of written material.

Assessment Method:

Assignment 100%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Applying Qualitative Methods in Psychological Research

Code:

PYM0QQ

Convenor:

PROF Kate Harvey

Summary:

The purpose of this module is to inform students about the approaches used in qualitative research. Students will gain practical knowledge of key methods.

Assessment Method:

Portfolio 100%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Data Collection & Analysis 1

Code:

PYM0S1

Convenor:

PROF Kou Murayama

Summary:

The module will provide a basic understanding of strategies of data analysis and their applications to psychological research. It will ensure that students can apply and interpret core descriptive and inferential statistics, and will enable them to use suitable computer packages ( R) for these purposes.

Assessment Method:

Class test 100%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Data Collection & Analysis 2

Code:

PYM0S2

Convenor:

PROF Kou Murayama

Summary:

The module will extend students' theoretical and practical knowledge of data analysis, and of general statistical concepts such as general linear models.

Assessment Method:

Assignment 100%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Empirical Project

Code:

PYM0EP

Convenor:

DR Eva Feredoes

Summary:

The purpose of this module is to expose students to empirical research in psychology. By designing, undertaking and reporting their own research project, students will develop a range of research and transferable skills.

Assessment Method:

Dissertation 100%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Placement

Code:

PYM0PL2

Convenor:

DR Eva Feredoes

Summary:

The module provides students with an opportunity to work with an established researcher in psychology, language science or neuroscience.  Students will be exposed to practical issues in research. They will work on practical problems and write a report about their activities, the skills they have acquired and what they have learned about the particular research field in which they have been embedded.

Allocation to any particular placement is the decision of the Module Convenor.

Assessment Method:

Assignment 60%, Set exercise 40%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Project Preparation

Code:

PYM0PP

Convenor:

DR Eva Feredoes

Summary:

The purpose of this module is to introduce students to some of the key activities for research in psychology.  Students will receive teaching in generic and transferable research skills.

Assessment Method:

Oral 30%, Report 70%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

Systematic Review

Code:

PYMFSR

Convenor:

PROF Kate Harvey

Summary:

The module provides students with an understanding of the nature and importance of Systematic Reviews to clinical psychology and wider health contexts. It also provides training and practice in the basic skills required to conduct a Systematic Review. This combination of knowledge and skills will enable students to understand and evaluate evidence-based treatments used in clinical psychology, which will be of use across their programme and in future careers.

Assessment Method:

Assignment 100%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Title:

fMRI Data Analysis

Code:

PYM0FM

Convenor:

DR Etienne Roesch

Summary:

The purpose of this module is to provide students with working knowledge about the brain in the field of cognitive neuroscience, and practical experience of analysing fMRI data. The module interweaves lectures and hands-on experience of data processing, using the University cloud computing infrastructure. Students will familiarise themselves with each step of a typical processing pipeline, learn how to script and automate analyses, and be introduced to the best practices in reproducible neuroimaging.  Students enrolling on this module should be confident and competent with Undergraduate level statistics, and possess general computing skills (for more information see Outline Content).

Assessment Method:

Report 100%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.