📖Program Curriculum
The programmes will be offered on a full-time and part-time basis. The module structure is as follows.
Full Time Route
Semester 1
Mental Health in Context
Economics of Mental Health
Semester 2
Psychological Therapies: OR Cultural Psychology and Psychiatry
Mental Health Policy Evaluation
Health Economic Analyses OR Risk and Decision-Making for Data Science
No Dissertation for PGDip
Part Time Route (Year 1)
Semester 1 - Mental Health in Context
Semester 2 - As above (exc. Mental Health Policy Evaluation taken in year 2)
Part Time Route (Year 2)
Economics of Mental Health
Mental Health Policy Evaluation
No Dissertation for PGDip
Compulsory/Core modules
Compulsory/Core modules
Economics of Mental Health
Economics of Mental Health
This module provides an introduction to the key theoretical economic aspects of mental health (e.g. adverse selection and moral hazard, non-contractable provider actions, externalities), as well as to the key policy aspects of service delivery (e.g. risk adjustment policies, behavioral health carve-outs). Special attention will also be given to the institutional contexts within which mental health and substance abuse care is provided (e.g who is treated for mental illness and who pays for mental health care).
Elective modules
Elective modules
Risk and Decision-Making for Data Science and AI
Risk and Decision-Making for Data Science and AI
This module provides a comprehensive overview of the challenges of risk assessment, prediction and decision-making covering public health and medicine, the law, government strategy, transport safety and consumer protection. Students will learn how to see through much of the confusion spoken about risk in public discourse, and will be provided with methods and tools for improved risk assessment that can be directly applied for personal, group, and strategic decision-making. The module also directly addresses the limitations of big data and machine learning for solving decision and risk problems.
