No 6796
Wednesday 24 September 2025
Vol clvi No 1
pp. 1–18
Further to the Notice published on 9 July 2025 (Reporter, 6792, 2024–25, p. 722), the Faculty Board of Business and Management gives notice that for the Global Executive M.B.A., the form of assessment for subject GMBA7 should be as follows (correction in bold):
(a) Compulsory modules
|
Subject |
Form of assessment |
|
GMBA7 Operations management |
Two group assignments (60% and 40%) |
Further to the Notice published on 9 July 2025 (Reporter, 6792, 2024–25, p. 728), the Degree Committee for the Faculty of Business and Management gives notice that the form of assessment for module MM4 should be as follows (correction in bold):
|
Group 1 (compulsory subjects) |
|
|
MM4 |
Strategy [2-hour in-person exam on a case study with additional 15 minutes of reading time (100%)] |
Further to the Notice published on 9 July 2025 (Reporter, 6792, 2024–25, p. 730), the Degree Committee for the Faculty of Business and Management gives notice that the form of assessment for module TP6 should be as follows (correction in bold):
|
Core modules |
|
|
TP6 |
European science, technology and innovation policy [2,000-word final essay/policy brief (75%); in-class debate (25%)] |
The Degree Committee for the Faculty of Computer Science and Technology gives notice that in the academic year 2025–26 the modules available for study for the examination in Advanced Computer Science for the degree of Master of Philosophy (Statutes and Ordinances, p. 501) and the form of the examination of each module will be as stated below.
Further details can be found by following the appropriate links from https://www.cl.cam.ac.uk/teaching/current/acs.html and https://www.cst.cam.ac.uk/teaching/masters/.
|
Reference |
Name |
Mode of assessment |
|
Michaelmas Term 2025 |
||
|
L352 |
Advanced graphics and image processing |
Coursework |
|
R277 |
Advanced topics in programming languages |
Coursework |
|
L344 |
Affective artificial intelligence |
Coursework |
|
L308 |
Category theory |
Coursework and written test |
|
R209 |
Computer security: Principles and foundations |
Coursework |
|
R160 |
Digital money and decentralised finance |
Coursework |
|
L314 |
Digital signal processing |
Coursework and written test |
|
L313 |
Homotopy type theory and univalent foundations |
Coursework and written test |
|
L98 |
Introduction to computational semantics |
Coursework and written test |
|
L95 |
Introduction to natural language syntax and parsing |
Coursework |
|
R244 |
Large-scale data processing and optimisation |
Coursework |
|
L48 |
Machine learning and the physical world |
Coursework |
|
L101 |
Machine learning for language processing |
Coursework |
|
L335 |
Machine visual perception |
Coursework |
|
R02 |
Network architectures |
Coursework |
|
L390 |
Overview of natural language processing |
Coursework |
|
P342 |
Practical research in human-centred AI |
Coursework |
|
L330 |
Quantum complexity theory |
Coursework |
|
L171 |
Reinforcement learning |
Coursework |
|
L332 |
Understanding quantum architecture |
Coursework |
|
Lent Term 2026 |
||
|
L118 |
Advanced topics in category theory |
Coursework |
|
R265 |
Advanced topics in computer architecture |
Coursework |
|
R181 |
Computing for collective intelligence |
Coursework |
|
P79 |
Cryptography and protocol engineering |
Coursework |
|
R354 |
Cybercrime |
Coursework |
|
L193 |
Explainable artificial intelligence |
Coursework |
|
L65 |
Geometric deep learning |
Coursework |
|
L349 |
Mobile health |
Coursework |
|
L304 |
Multicore semantics and programming |
Coursework |
|
L205 |
Principles of AI-driven neuroscience and translational biomedicine |
Coursework |
|
L46 |
Principles of machine learning systems |
Coursework |
|
L81 |
Proof assistants |
Coursework |
|
R252 |
Theory of deep learning |
Coursework |
|
Easter Term 2026 |
||
|
No modules offered currently in Easter Term 2026 |
||
The Degree Committee for the Faculty of Computer Science and Technology gives notice of the form of the evaluation of the Research Skills programme for 2025–26. Students must accumulate a minimum of twelve credits from core and optional units. The mode of delivery and work required for each unit will vary. Students will be required to submit a virtual Research Skills logbook which records the units attended and provides evidence of the work completed for each unit.