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2024/25 Undergraduate Programme Catalogue

MEng, BSc Computer Science with Artificial Intelligence (Industrial) Year 3 Placement

Programme code:MENS-CSAI3Y4UCAS code:
Duration:5 Years Method of Attendance: Full Time
Programme manager:Dr Brandon Bennett Contact address:b.bennett@leeds.ac.uk

Total credits: 600

Entry requirements:

A-level: AAA including Mathematics
IT or Engineering Diploma: Grade A (plus A or above in A-level Mathematics).
BTEC Extended Diploma: Grade D*DD with 6 units of level 3 Mathematics.
IB: 35 points overall, with 18 points at higher level to include 5 points in higher level Mathematics.

School/Unit responsible for the parenting of students and programme:

School of Computer Science

Examination board through which the programme will be considered:

School of Computer Science

Relevant QAA Subject Benchmark Groups:

Programme specification:

Programme Aims
To prepare students for a career in the computing industry or allied research fields, who have the following characteristics:
- A mastery of the practical skills and theoretical foundations of Computer Science, as described by the core of the Body
of Knowledge (below);
- Recognition of the context in which a computer system may function, including its interactions with organisations,
individuals, and the physical world;
- Understanding of how to apply the knowledge they have gained to solve real problems;
- Awareness of the rapid technological change in computing, and the necessity of life-long learning;
- Recognition of the social, legal, ethical and cultural issues inherent in the discipline of computing;
- Excellent communication and organizational skills;
- Awareness of the broad applicability of computing, and the roles and responsibilities of a computing professional.
Knowledge and Understanding
On completion of this programme, students should be able to demonstrate knowledge and understanding of the following
knowledge areas of the Computer Science Curriculum (IEEE/ACM CS2103):
- Algorithms and Complexity
- Architecture and Organization
- Computational Science
- Discrete Structures
- Graphics and Visualization
- Human-Computer Interaction
- Information Assurance and Security
- Information Management
- Intelligent Systems
- Networking and Communications
- Operating Systems
- Platform-based Development
- Parallel and Distributed Computing
- Programming Languages
- Software Development Fundamentals
- Software Engineering
- Systems Fundamentals
- Social Issues and Professional Practice


Year1 - View timetable

[Learning Outcomes, Transferable (Key) Skills, Assessment]

Compulsory modules:

Candidates will be required to study the following compulsory modules:

COMP1121Databases10 creditsNot running in 202425
COMP1211Computer Architecture10 creditsNot running in 202425
COMP1212Computer Processors10 creditsNot running in 202425
COMP1421Fundamental Mathematical Concepts10 creditsNot running in 202425
COMP1511Introduction to Discrete Mathematics10 creditsNot running in 202425
COMP1711Procedural Programming10 creditsSemester 1 (Sep to Jan)
COMP1721Object Oriented Programming10 creditsNot running in 202425
COMP1911Professional Computing20 creditsNot running in 202425
COMP1921Programming Project10 creditsNot running in 202425

Optional modules:

Candidates must also study 20 credits of Optional modules or 20 credits of Discovery modules or 10 of each.

Candidates may study up to a maximum of 20 credits of the following optional modules:

COMP1012Introduction to Programming10 creditsNot running in 202425
COMP1021Introduction to Web Technologies10 creditsNot running in 202425

Discovery modules:

Students may choose to study up to a maximum of 20 credits of Discovery Modules.


Year2 - View timetable

[Learning Outcomes, Transferable (Key) Skills, Assessment]

Compulsory modules:

Candidates will be required to study the following compulsory modules:

COMP2121Data Mining10 creditsSemester 2 (Jan to Jun)
COMP2211Operating Systems10 creditsSemester 1 (Sep to Jan)
COMP2221Networks10 creditsSemester 2 (Jan to Jun)
COMP2321Formal Languages and Finite Automata10 creditsSemester 2 (Jan to Jun)
COMP2421Numerical Computation10 creditsSemester 1 (Sep to Jan)
COMP2611Artificial Intelligence10 creditsSemester 2 (Jan to Jun)
COMP2711Algorithms and Data Structures I10 creditsSemester 1 (Sep to Jan)
COMP2721Algorithms and Data Structures II10 creditsSemester 2 (Jan to Jun)
COMP2811User Interfaces10 creditsSemester 1 (Sep to Jan)
COMP2912Software Engineering Principles10 creditsSemester 1 (Sep to Jan)
COMP2913Software Engineering Project10 creditsSemester 2 (Jan to Jun)

Optional modules:

Candidates may study up to 10 credits from the following optional modules or 10 credits of Discovery modules from across the University:

Candidates may study up to a maximum of 10 credits of the following optional modules:

COMP2011Web Application Development10 creditsSemester 1 (Sep to Jan)
COMP2932Compiler Design and Construction10 creditsSemester 2 (Jan to Jun)

Discovery modules:

Students may choose to study up to a maximum of 10 credits of Discovery Modules.


Year3 - View timetable

[Learning Outcomes, Transferable (Key) Skills, Assessment]

Compulsory modules:

Candidates will be required to study the following compulsory module

FOEN8001Industrial Placement Year120 creditsSemesters 1 & 2 (Sep to Jun)


Year4 - View timetable

[Learning Outcomes, Transferable (Key) Skills, Assessment]

Compulsory modules:

Candidates will be required to study the following compulsory modules:

COMP3611Machine Learning10 creditsSemester 1 (Sep to Jan)
COMP3631Intelligent Systems and Robotics20 creditsSemester 2 (Jan to Jun)
COMP3911Secure Computing10 creditsSemester 1 (Sep to Jan)
COMP3931Individual Project40 creditsSemesters 1 & 2 (Sep to Jun)

Optional modules:

Candidates are required to study 40 credits from the following optional modules:

COMP3011Web Services and Web Data10 creditsSemester 2 (Jan to Jun)
COMP3211Distributed Systems10 creditsSemester 1 (Sep to Jan)
COMP3221Parallel Computation10 creditsSemester 2 (Jan to Jun)
COMP3223Cryptography10 creditsSemester 2 (Jan to Jun)
COMP3736Information Visualization10 creditsSemester 1 (Sep to Jan)
COMP3771User Adaptive Intelligent Systems10 creditsSemester 1 (Sep to Jan)
COMP3811Computer Graphics10 creditsSemester 1 (Sep to Jan)
COMP3910Combinatorial Optimisation10 creditsSemester 2 (Jan to Jun)
COMP3940Graph Algorithms and Complexity Theory10 creditsSemester 1 (Sep to Jan)
LUBS3990Innovation Thinking and Practice10 creditsSemester 1 (Sep to Jan)


Year5 - View timetable

[Learning Outcomes, Transferable (Key) Skills, Assessment]

Compulsory modules:

Candidates will be required to study the following compulsory modules:

COMP5450MKnowledge Representation and Reasoning15 creditsSemester 1 (Sep to Jan)
COMP5530MGroup Project30 creditsSemesters 1 & 2 (Sep to Jun), Semester 2 (Jan to Jun)
COMP5625MDeep Learning15 creditsSemester 2 (Jan to Jun)

Optional modules:

Candidates will be required to study 60 credits from the following optional modules:

COMP5122MData Science15 creditsSemester 1 (Sep to Jan)
COMP5123MCloud Computing Systems15 creditsSemester 2 (Jan to Jun)
COMP5125MBlockchain Technologies15 creditsSemester 2 (Jan to Jun)
COMP5400MBio-Inspired Computing15 creditsSemester 2 (Jan to Jun)
COMP5611MMachine Learning15 creditsSemester 2 (Jan to Jun)
COMP5911MAdvanced Software Engineering15 creditsSemester 1 (Sep to Jan)
COMP5930MScientific Computation15 creditsSemester 1 (Sep to Jan)
COMP5940MGraph Theory: Structure and Algorithms15 creditsSemester 2 (Jan to Jun)

Last updated: 19/09/2024 16:36:14

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