Core modules
Students will study seven core modules across Psychology and Computer Science, including a Behavioural and Data Science project. These modules include:
Issues in Psychological Science
This module covers core psychology and behavioural science content relevant to later modules in the degree, including memory, attention, perception, personality and individual differences, choice, and subjective well-being. It will provide you with the psychological background to enable you to understand and critically evaluate material on those later modules. Through a combination of lectures, seminars, and laboratory-based sessions, you will learn about both models and data in the relevant areas of psychology. You will also learn basic MATLAB programming and model implementation.
Methods and Analysis in Behavioural Science
The purpose of the module is to introduce you to experimental design and statistical programming. Behavioural scientists need statistical analysis of experimental data and of large data sets. This module covers these topics to allow you to understand how to test hypotheses, plan experimental design and perform statistical analysis using R.
Foundations of Data Analytics
You will study techniques for how to go from raw data to a deeper understanding of the patterns and structures within the data, to support making predictions and decision making.
Foundations of Computing
The aim of the module is to equip you with a grounding in foundations of computing, to enable students from a wider background to confidently undertake a taught Master's programme in advanced computing topics.
Psychological Models of Choice
The main aim of this module Psychological Models of Choice is to review theories of individual choice. Core empirical results in the decision-making literature will be reviewed and their theoretical implications explored.
Data Mining
This module will help you understand the value of data mining in solving real-world problems, as well as the foundational concepts underlying data mining. You will also understand the algorithms commonly used in data mining tools to gain the ability to apply data mining tools to real-world problems.
Integrated Behavioural and Data Science
The module will bridge the gap between data science and behavioural science, giving students examples of what researchers do in the combined area of behavioural and data science. Students will learn the various methods and approaches and how these are applied to behavioural and data science. Students will also learn how to frame research questions and apply data science methodologies to address these questions.
