Computer Science with a specialism in artificial intelligence is a dynamic and fast-moving area of study which opens opportunities in many different industrials sectors. Developments in Computer Science and artificial intelligence are changing the world in which we live in. This programme builds on a strong computer science foundation developing the knowledge and skills to contribute professionally in the field of artificial intelligence.
The programme covers the broad range of topics and application areas of Computer Science with a focus on the research specialisms of the School of Computing. The curriculum is aligned with the ACM/IEEE/AAAI Computer Science Curriculum specification (ACM/IEEE/AAAI CS2023) and the Computing QAA Subject benchmark statement.
Topics delivered in the curriculum include;
• Algorithms and Complexity
• Architecture and Organisation
• Artificial intelligence
• Data Management
• Foundations of programming languages
• Graphics and interactive techniques
• Human-computer interaction
• Mathematical and Statistical foundations
• Networking and Communication
• Operating Systems
• Parallel and Distributed Computing
• Security
• Society, Ethics and professionalism
• Software development fundamentals
• Software engineering
• Specialised platform development
• System fundamentals
Either an industrial placement, or a study abroad year is available as part of this programme studied between year 2 and year 3, or between year 3 and year 4.
The primary focus of the programme is to develop the fundamental skills, knowledge and behaviours required of a Computer Scientist to allow both opportunities of further study and a career in industry. Graduates from this programme should be able to;
• Practice computer science in an industrial/commercial context, demonstrating awareness of legal, social, ethic and professional considerations.
• Demonstrate a mastery of the practical and theoretical knowledge and skills across all core areas outlined above by applying them to real world problems.
• Advocate for equity, diversity, inclusion and sustainability.
Graduates will be at the forefront of developments in artificial intelligence and will be suitable for graduate employment applying artificial intelligence techniques to a broad range of application domains.
In the final year of the programme advanced and contemporary topics in Artificial Intelligence are introduced with a focus on applications and impact on society. The final year will primarily be research led and will aim to develop skills that are highly sought by potential employers.
[Learning Outcomes, Transferable (Key) Skills, Assessment]
View Timetable
Candidates will be required to study the following compulsory modules
| Code | Title | Credits | Semester | Pass for Progression |
|---|---|---|---|---|
| COMP1850 | Programming | 40 | Semesters 1 & 2 (Sep to Jun) | |
| COMP1860 | Building our Digital World: Computer Systems & Architecture | 40 | Semesters 1 & 2 (Sep to Jun) | |
| COMP1870 | Theoretical Foundations of Computer Science I | 40 | Semesters 1 & 2 (Sep to Jun) |
[Learning Outcomes, Transferable (Key) Skills, Assessment]
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We are currently refreshing our courses to make sure students have the best possible experience. Full module details for years 2, 3 and 4 are not yet available. Before you enter years 2, 3 and 4 details of modules for those years will be provided.
[Learning Outcomes, Transferable (Key) Skills, Assessment]
View Timetable
We are currently refreshing our courses to make sure students have the best possible experience. Full module details for years 3 and 4 are not yet available. Before you enter years 3 and 4 details of modules for those years will be provided.
[Learning Outcomes, Transferable (Key) Skills, Assessment]
View Timetable
We are currently refreshing our courses to make sure students have the best possible experience. Full module details for years 4 are not yet available. Before you enter years 4 details of modules for those years will be provided.
Candidates will be required to study the following compulsory modules
| Code | Title | Credits | Semester | Pass for Progression |
|---|---|---|---|---|
| COMP5450M | Knowledge Representation and Reasoning | 15 | Semester 1 (Sep to Jan) | |
| COMP5530M | Group Project | 30 | Semester 2 (Jan to Jun), Semesters 1 & 2 (Sep to Jun) | |
| COMP5625M | Deep Learning | 15 | Semester 2 (Jan to Jun) |
Candidates will be required to study 15 credits from the following optional modules:
- Autonomous Systems & Robotics - 15 credits
| Code | Title | Credits | Semester | Pass for Progression |
|---|---|---|---|---|
| COMP5122M | Data Science | 15 | Semester 1 (Sep to Jan) | |
| COMP5123M | Cloud Computing Systems | 15 | Semester 2 (Jan to Jun) | |
| COMP5125M | Blockchain Technologies | 15 | Semester 2 (Jan to Jun) | |
| COMP5400M | Bio-Inspired Computing | 15 | Semester 2 (Jan to Jun) | |
| COMP5611M | Machine Learning | 15 | Semester 2 (Jan to Jun) | |
| COMP5911M | Advanced Software Engineering | 15 | Semester 1 (Sep to Jan) | |
| COMP5930M | Scientific Computation | 15 | Semester 1 (Sep to Jan) | |
| COMP5940M | Graph Theory: Structure and Algorithms | 15 | Semester 2 (Jan to Jun) |
Last updated: 25/09/2024 16:24:03
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