Teaching & modules
Modules
The course is divided into taught and research modules. Over the course of your study you will take modules totalling 180 credits.
Required modules
Full Time and Part Time (Year 1)
You are required to take:
- A1 Fundamental Neuroscience (30 credits)
- A2 Fundamental Neuroscience (30 credits)
- A3 Fundamental Neuroscience (30 credits)
Part Time - Year 2
There are no required modules for the year.
Optional modules
Optional modules are structured differently for part time study. More details below.
Full Time
Students take 30 credits from a choice of optional B modules, which are subject to availability, that may typically include:
- B4: Neurodegeneration (30 credits)
- B5: Neuroimaging: Investigating Brain Function and Dysfunction (30 credits)
- B7: Cognitive Neuroscience (30 credits)
- B8: Neural Stem Cells and Nervous System Repair (30 credits)
- B9: Network Neuroscience and Artificial Intelligence (30 credits)
Part Time - Year 2
Students take 30 credits from a choice of B optional modules, which are subject to availability. There are two alternative ways (paths) students can take their B optional modules:
Path 1
In Year 2 (Semester 1 - Autumn), students attend the “B1: Further Neuroscience” module. Students typically attend ONE day per week. Students can commence their research project at start of Semester 2 (Year 2).
- B1: Further Neuroscience (30 credits)
or,
Path 2
Students take one of the below options in Year 2 (Semester 2 - Spring). Note: these options require FULL-TIME attendance for the duration of the module. Students begin their research project at the end of Semester 2.
- B4: Neurodegeneration (30 credits)
- B5: Neuroimaging: Investigating Brain Function and Dysfunction (30 credits)
- B7: Cognitive Neuroscience (30 credits)
- B8: Neural Stem Cells and Nervous System Repair (30 credits)
- B9: Network Neuroscience and Artificial Intelligence (30 credits)
C Research Project Module - Full Time and Part Time
The research component will allow students to gain training and experience in hypothesis-driven academic research.
- C1 Research project in Neuroscience (60 credits)
Teaching methods - what to expect
You will learn through a mix of research-led lectures, seminars, tutorials and self-study.
The course is divided into four taught and one research modules, totalling 180 credits.
Students sit all A modules and select ONE B module.
| Module Name | Lectures (hours) |
Seminars/ tutorials (hours) |
Field/Lab/Studio/ Supervised Learning (hours) |
Self-study time (hours) |
|---|---|---|---|---|
| A1 Fundamental Neuroscience | 20 | 8 | 5 | 267 |
| A2 Fundamental Neuroscience | 20 | 8 | 5 | 267 |
| A3 Fundamental Neuroscience | 20 | 8 | 5 | 267 |
| B4: Neurodegeneration | 25 | 8 | 5 | 267 |
| B5: Neuroimaging | 25 | 8 | 5 | 267 |
| B7: Cognitive Neuroscience | 25 | 8 | 5 | 267 |
| B8: Neural Stem Cells and Nervous System Repair | 25 | 8 | 5 | 267 |
| B9: Network Neuroscience and Artificial Intelligence | 25 | 8 | 5 | 267 |
| C1 Research Project in Neuroscience | 5 | 25 | 5 | 565 |
Typically, one credit equates to 10 hours of work.
Teaching
You’ll never have to rely on a textbook at King’s. All of our teaching team carry out their own research, so you’ll always be up to speed with the latest thinking in the field.
One day, you might be listening to someone who has recently given a TED talk on a ground-breaking topic. Another day, you might be listening to an academic who has just published a paper in a leading journal.
We focus on developing your practical skills too. For example, you’ll examine human brains from our Brain Bank, comparing healthy and unhealthy examples.
Location
Our course is primarily taught at the King’s College London, Denmark Hill Campus.
Project work may be carried out at other institutions and centres of excellence.
Assessment
- Written Examinations
- Coursework
- Practical work
The main assessment methods for this course include written examinations, coursework and practical work (e.g., presentations). While the study time and assessment methods provide a general idea of what to expect, they may vary depending on the specific modules.
Application closing date guidance
Key Information
Course type:
Master's
Delivery mode:
On campus
Study mode:
Full time / Part time
Duration:
One year full-time, September to September. Two years part-time. Please note that the part-time programme runs on alternate years, the next intake is expected to be September 2026
Application status:
Open
Start date:
September 2026