Cognitive Neuroimaging and Data Science MSc

Program Overview

The Cognitive Neuroimaging and Data Science MSc at the University of Birmingham provides students with a deep understanding of cognitive and computational neuroscience theories, backed by practical experience in neuroimaging and data science techniques. The program emphasizes the integration of hypothesis-based experiments with machine learning approaches to study brain-behavior relationships. Graduates are equipped with problem-solving skills and proficiency in analyzing large neuroscientific datasets, preparing them for careers in research, academia, or industry.

Program Outline

Degree Overview:

The Cognitive Neuroimaging and Data Science MSc is a postgraduate degree program offered by the School of Psychology at the University of Birmingham. It aims to provide students with a fundamental understanding of cognitive and computational neuroscience theories, along with practical experience in neuroimaging and data science techniques. The program emphasizes the importance of merging traditional hypothesis-based experiments with large-scale machine learning approaches to study the dynamic interactions between brain regions and their relationship to behavior. The MSc offers two distinct pathways:

Cognitive Neuroscience:

This pathway focuses on the cognitive aspects of neuroscience.

Computational Neuroscience:

This pathway emphasizes the computational aspects of neuroscience. Students have access to various neuroimaging tools, including MRI, MEG, EEG, brain stimulation, and fNIRS, housed in the Centre for Human Brain Health. The program develops essential skills in proactive problem-solving and analyzing large neuroscientific datasets. Students benefit from interactions with researchers from the Centre for Human Brain Health, School of Psychology, and Computer Science, fostering the development of specific interests and skills within cognitive neuroimaging and data science. The program is designed to prepare students for a variety of career paths, including academic research positions and professional roles in various industries.

Outline:

The Cognitive Neuroimaging and Data Science MSc comprises a series of core and optional modules.

Core Modules:

• Research Methods & Skills in Psychology: This module focuses on developing research skills in psychology.
• Proposing Research: This module teaches students how to propose research projects.
• Cognitive Neuroscience Methods & Applications (Cognitive Neuroscience Pathway): This module covers methods and applications in cognitive neuroscience.
• Mind, Brain, Models (Computational Neuroscience Pathway): This module explores computational models of the brain.

Optional Modules:

• Translational Cognitive Neuroscience: This module explores the translation of cognitive neuroscience research into clinical applications.
• Magnetic Resonance Imaging in Cognitive Neuroscience: This module focuses on MRI techniques in cognitive neuroscience.
• Application of Electrophysiological Approaches in Cognitive Neuroscience: This module covers electrophysiological methods in cognitive neuroscience.
• Modelling Development and Diversity: This module explores models of development and diversity.
• Introduction to Computational Methods (Computational Neuroscience Pathway): This module provides an introduction to computational methods.

Computational Neuroscience Pathway Specific Modules from Computer Science:

• Intelligent Robotics: This module explores the field of intelligent robotics.
• Neural Computation: This module focuses on neural computation.
• Machine Learning and Intelligent Data Analysis: This module covers machine learning and data analysis techniques.
• Advanced Robotics: This module delves into advanced robotics concepts.
• Robot Vision: This module focuses on robot vision.

Research Project:

Students undertake a supervised research project, culminating in a 6,000-word research thesis.

Assessment:

The program utilizes a variety of assessment methods to ensure students develop transferable skills for future employment. Assessments are tailored to each module and may include:

• Essays and reports
• Oral and poster presentations
• Programming projects
• Scripting assessments
• Peer reviews

Teaching:

The program employs a diverse range of teaching methods, including:

• Lectures
• Seminars
• Journal clubs
• Workshops
For research-based modules, students receive regular supervision and directed research work.

Careers:

Graduates of the Cognitive Neuroimaging and Data Science MSc are well-prepared for a wide range of careers, including:

• Research-related employment in both private and public sector organizations
• PhD or other advanced degree positions
The program develops key skills highly valued by employers, such as:
• Proactive problem-solving
• Advanced analytics techniques

Cognitive Neuroscience Pathway: Code 874H: UK students £10,530 FT Code 875H: UK students £5,265 PT Code 874H: International students £26,280 FT Computational Neuroscience Pathway: Code 885H: UK students £10,530 FT Code 880H: UK students £5,265 PT Code 885H: International students £26,280 FT