Program Overview

Artificial Intelligence in Healthcare

Course Description

Artificial intelligence (AI) is the construction of artificial systems that have intelligent behaviour. This course equips students to use leading-edge science and data to contribute to improving digital transformation in healthcare. Modern health services have been transformed by e-referrals, the NHS app, and Covid 19 risk stratification. This course puts human-centred design, agility, and a solutions-focused approach at the heart of learning.

Study Options

• Full-time: 3 years
• UK fee: £9,535 per year (2025/26)
• International fee: £16,900 per year (2025/26)
• UCAS points: 120 (September 2025 entry)
• UCAS code: I4I5
• Start date: September
• Location: Derby Campus

Why Study Artificial Intelligence in Healthcare?

This course positions students at the cutting edge of the graduate job market. Students will graduate with the skills to tackle some of the biggest challenges in the study of human health and machine behaviour, whilst applying their knowledge to offer future-focused solutions.

What You Will Study

Year 1

• Logic and Discrete Mathematics
• Programming
• Ethics and Artificial Intelligence
• Digital Skills for Artificial Intelligence
• Social Inequality
• Health Perspectives

Year 2

• Core modules (not specified)

Year 3

• Core modules (not specified)

Module Details

Logic and Discrete Mathematics

This module introduces and reviews foundational mathematical concepts to develop skills in algebra, logic, and discrete mathematics.

• Module learning outcomes:
  • Understand basic topics in logic and discrete mathematics
  • Apply techniques to solve discipline-specific problems
• Module content:
  • Numbers and sets
  • Relations, functions, and types
  • Boolean types, quantifiers, and normal forms
  • Trigonometry, vectors, and complex numbers
  • Matrices and applications
  • Graphs, networks, and trees
• Credits: 20
• Assessment: Coursework, Exam

How You Will Learn

Students will learn in different ways, including lectures, seminars, tutorials, practical sessions, and team working. On the Individual Project module, students will be encouraged to use and apply research and innovation tools and approaches in a practical context.

How You Are Assessed

A variety of assessment methods are used, including:

• Coursework
• Portfolios
• Presentations
• Examinations
• Case studies
• Teamwork projects
• Computer testing and examinations

Careers

Students will graduate with the skills to tackle some of the biggest challenges in the study of human health and machine behaviour, whilst applying their knowledge to offer future-focused solutions. This course will position students at the cutting edge of the graduate job market.

Entry Requirements

2025 Entry

• UCAS points: 120
• A Level: BBB
• T Level: Merit. T Level in Science required.
• BTEC: DDM
• GCSE: N/A
• Access to HE: A minimum of Distinction: 15 credits, Merit: 24 credits, Pass: 6 credits.

Fees and Funding

2025/26

• Full-time UK: £9,535 per year
• Full-time International: £16,900 per year
• Part-time: N/A

How to Apply

Students can apply through UCAS or directly to the University. International students can apply through the University's online application portal or through a trusted local representative.