| 1 | INF1A: Informatics 1 - Introduction to Computation |
| 1 | INF1B: Informatics 1 - Object Oriented Programming |
| 1 | INF1-CG: Informatics 1 - Cognitive Science |
| 2 | DMP: Discrete Mathematics and Probability |
| 2 | INF2-FDS: Informatics 2 - Foundations of Data Science |
| 2 | INF2-IADS: 2023-24 |
| 2 | INF2-SEPP: Informatics 2 - Software Engineering and Professional Practice |
| 2 | INF2C-CS: Informatics 2C - Introduction to Computer Systems |
| 2 | INF2D: Informatics 2D - Reasoning and Agents |
| 3 | EIP: Entrepreneurship and Innovation Project |
| 3 | PI: Professional Issues |
| 3 | SDM: Software Design and Modelling |
| Optional | ADBS: Advanced Database Systems |
| Optional | ADS: Algorithms and Data Structures |
| Optional | AGTA: Algorithmic Game Theory and Applications |
| Optional | ANLP: Accelerated Natural Language Processing |
| Optional | AR: Automated Reasoning |
| Optional | ARO: Advanced Robotics |
| Optional | ASR: Automatic Speech Recognition |
| Optional | BDL: Blockchains and Distributed Ledgers |
| Optional | Bioinformatics 1 |
| Optional | CARD: Computer Architecture and Design |
| Optional | CCN: Computational Cognitive Neuroscience |
| Optional | CCS: Computational Cognitive Science |
| Optional | CDI1: Case Studies in Design Informatics 1 |
| Optional | CGGS: Computer Graphics: Geometry and Simulation |
| Optional | CGR: Computer Graphics: Rendering |
| Optional | CIC: Computing in the Classroom |
| Optional | CNS: Computational Neuroscience |
| Optional | COMN: Computer Communications and Networks |
| Optional | CSAI: Case Studies in AI Ethics (CSAI) |
| Optional | CT: Compiling Techniques |
| Optional | Data Literacy for Teachers |
| Optional | DBBA: Data-driven Business and Behaviour Analytics |
| Optional | DS: Distributed Systems (Level 11) |
| Optional | EPL: Elements of Programming Languages |
| Optional | EXC: Extreme Computing |
| Optional | FNLP: Foundations of Natural Language Processing |
| Optional | FV: Formal Verification |
| Optional | HCI: Human-Computer Interaction (Level 11) |
| Optional | IAML-DL: Introductory Applied Machine Learning |
| Optional | IAML-PG2: Introductory Applied Machine Learning (Semester 2) |
| Optional | IMC: Introduction to Modern Cryptography |
| Optional | IQC: Introduction to Quantum Computing |
| Optional | IQPS: Introduction to Quantum Programming and Semantics |
| Optional | ITCS: Introduction to Theoretical Computer Science |
| Optional | KG: Knowledge Graphs |
| Optional | MCI: Methods for Causal Inference |
| Optional | MCS: Modelling Concurrent Systems (Level 11) |
| Optional | MIP1: MInf Project (Part 1) |
| Optional | MIP2: MInf Project (Part 2) |
| Optional | MLG: Machine Learning |
| Optional | MLPR: Machine Learning and Pattern Recognition |
| Optional | MLS: Machine Learning Systems |
| Optional | MLT: Machine Learning Theory |
| Optional | MOB: Introduction to Mobile Robotics |
| Optional | MOSS: Modelling of Systems for Sustainability |
| Optional | NAT-DL: Natural Computing |
| Optional | NLP-RR: Researching Responsible and Trustworthy Natural Language Processing |
| Optional | NLU-11: Natural Language Understanding, Generation, and Machine Translation |
| Optional | PBI: Programming for Biomedical Informatics |
| Optional | PDIOT: Principles and Design of IoT Systems |
| Optional | PDSS: Programming for Data Science at Scale |
| Optional | PMR: Probabilistic Modelling and Reasoning |
| Optional | PPLS: Parallel Programming Languages and Systems |
| Optional | PROJ: Honours Project (Informatics) |
| Optional | QCS: Quantum Cyber Security |
| Optional | RA: Randomized Algorithms |
| Optional | RL: Reinforcement Learning |
| Optional | SAVM: Simulation, Analysis, and Validation of Computational Models |
| Optional | SCM: Seminar in Cognitive Modelling |
| Optional | SCSD: Standards Compliant Software Development |
| Optional | SDP: System Design Project |
| Optional | SENG: Security Engineering |
| Optional | SP: Secure Programming |
| Optional | ST: Software Testing |
| Optional | TSPL: Types and Semantics for Programming Languages |
| Optional | TTDS: Text Technologies for Data Science |
| Optional | USEC: Usable Security and Privacy |
| PG | AML: Applied Machine Learning |
| PG | DISS: MSc Dissertation (Informatics) |
| PG | IPP: Informatics Project Proposal |
| PG | IRR: Informatics Research Review |
