Teaching & modules
Modules
Courses are divided into modules. You will normally take modules totalling 180 credits. You will complete the course in one year, studying from September to September.
Required Modules
You are required to take:
- Individual Project (60 credits)
Optional Modules
In addition, you are required to take 120 credits from a range of optional modules, including at least 30 credits from Artificial Intelligence modules and at least 30 credits from Machine Learning modules, which may typically include:
- Agents & Multi-Agent Systems (15 credits)
- Nature Inspired Learning Algorithms (15 credits)
- Pattern Recognition, Neural Networks & Deep Learning (15 credits)
- Philosophy and Ethics of Artificial Intelligence (15 credits)
- Artificial Intelligence Planning (15 credits)
- Data Mining (15 credits)
- Computer Vision (15 credits)
- Distributed Ledgers & Crypto-currencies (15 credits)
You will be able to select up to 30 credits from a range of level 6 modules but should note that there are specific regulations surrounding this option that must be carefully considered before making your module selection. Modules may typically include:
- Optimization Methods (15 credits)
- Human-Computer Interaction (15 credits)
- Computational Models (15 credits)
- Machine Learning (30 credits)
- Agent Reasoning and Decision Making (15 credits)
- Formal Verification (15 credits)
If you are a student who has previously studied in the Department of Informatics and have taken and passed any modules before (at level 6 or 7), you are not permitted to take these again. This is not permitted by the academic regulations.
Teaching methods - what to expect
We use a delivery method that will ensure you have a rich, exciting experience from the start. You will have lectures, seminars and group tutorials for most of the modules on the course.
Face to face teaching is complemented and supported with innovative technology so that you also experience elements of digital learning and assessment. We use a flipped classroom approach that creates opportunities for active learning engagement and interaction with world-class experts. You will also be expected to undertake a significant amount of independent study.
Typically, one credit equates to 10 hours of work, e.g. 150 hours work for a 15-credit module. These hours cover every aspect of the module, including independent study.
At King’s, all students are allocated a Personal Tutor who will play a key role in helping you to get the most out of your studies, providing support and encouragement for your time at university. Personal tutors provide you with the opportunity to periodically take stock of your learning, academic progress and general wellbeing as you progress through your studies, offering guidance on how to seek further support if you need it, and how to access the range of opportunities available to you as a King's student.
Assessment
- Coursework
- Written/Practical Examinations
- Presentations
- In-Class Tests
- Individual Project Dissertation
Your performance will be assessed through a combination of coursework and written/practical examinations. Forms of assessment may typically include written and computer-based exams, coursework, oral presentations, in-class tests, and an individual project dissertation.
Course structure
Courses are divided into modules. You will normally take modules totalling 180 credits. You will complete the course in one year, studying from September to September.
Application closing date guidance
Key Information
Course type:
Master's
Delivery mode:
In person
Study mode:
Full time
Duration:
1 year full-time, September to September
Application status:
Open
Start date:
September 2026