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

Programme overview

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.

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

Year 1

Year 3 Placement

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

Compulsory Modules

Candidates will be required to study the following compulsory modules:

Code	Title	Credits	Semester	Pass for Progression
COMP1121	Databases	10	Not running in 202425	PFP
COMP1211	Computer Architecture	10	Not running in 202425	PFP
COMP1212	Computer Processors	10	Not running in 202425	PFP
COMP1421	Fundamental Mathematical Concepts	10	Not running in 202425	PFP
COMP1511	Introduction to Discrete Mathematics	10	Not running in 202425	PFP
COMP1711	Procedural Programming	10	Semester 1 (Sep to Jan)	PFP
COMP1721	Object Oriented Programming	10	Not running in 202425	PFP
COMP1911	Professional Computing	20	Not running in 202425	PFP
COMP1921	Programming Project	10	Not running in 202425	PFP

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:

Code	Title	Credits	Semester	Pass for Progression
COMP1012	Introduction to Programming	10	Not running in 202425
COMP1021	Introduction to Web Technologies	10	Not running in 202425

Discovery Modules

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

Year 2

Year 3 Placement

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

Compulsory Modules

Candidates will be required to study the following compulsory modules:

Code	Title	Credits	Semester	Pass for Progression
COMP2121	Data Mining	10	Semester 2 (Jan to Jun)
COMP2211	Operating Systems	10	Semester 1 (Sep to Jan)
COMP2221	Networks	10	Semester 2 (Jan to Jun)
COMP2321	Formal Languages and Finite Automata	10	Semester 2 (Jan to Jun)
COMP2421	Numerical Computation	10	Semester 1 (Sep to Jan)
COMP2611	Artificial Intelligence	10	Semester 2 (Jan to Jun)	PFP
COMP2711	Algorithms and Data Structures I	10	Semester 1 (Sep to Jan)
COMP2721	Algorithms and Data Structures II	10	Semester 2 (Jan to Jun)
COMP2811	User Interfaces	10	Semester 1 (Sep to Jan)
COMP2912	Software Engineering Principles	10	Semester 1 (Sep to Jan)
COMP2913	Software Engineering Project	10	Semester 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:

Code	Title	Credits	Semester	Pass for Progression
COMP2011	Web Application Development	10	Semester 1 (Sep to Jan)
COMP2932	Compiler Design and Construction	10	Semester 2 (Jan to Jun)

Discovery Modules

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

Year 3

Year 3 Placement

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

Compulsory Modules

Candidates will be required to study the following compulsory module

Code	Title	Credits	Semester	Pass for Progression
FOEN8001	Industrial Placement Year	120	Semesters 1 & 2 (Sep to Jun)

Year 4

Year 3 Placement

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

Compulsory Modules

Candidates will be required to study the following compulsory modules:

Code	Title	Credits	Semester	Pass for Progression
COMP3611	Machine Learning	10	Semester 1 (Sep to Jan)
COMP3631	Intelligent Systems and Robotics	20	Semester 2 (Jan to Jun)	PFP
COMP3911	Secure Computing	10	Semester 1 (Sep to Jan)
COMP3931	Individual Project	40	Semesters 1 & 2 (Sep to Jun)	PFP

Optional Modules

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

Code	Title	Credits	Semester	Pass for Progression
COMP3011	Web Services and Web Data	10	Semester 2 (Jan to Jun)
COMP3211	Distributed Systems	10	Semester 1 (Sep to Jan)
COMP3221	Parallel Computation	10	Semester 2 (Jan to Jun)
COMP3223	Cryptography	10	Semester 2 (Jan to Jun)
COMP3736	Information Visualization	10	Semester 1 (Sep to Jan)
COMP3771	User Adaptive Intelligent Systems	10	Semester 1 (Sep to Jan)
COMP3811	Computer Graphics	10	Semester 1 (Sep to Jan)
COMP3910	Combinatorial Optimisation	10	Semester 2 (Jan to Jun)
COMP3940	Graph Algorithms and Complexity Theory	10	Semester 1 (Sep to Jan)
LUBS3990	Innovation Thinking and Practice	10	Semester 1 (Sep to Jan)

Year 5

Year 3 Placement

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

Compulsory Modules

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)

Optional Modules

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

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: 19/09/2024 16:36:14

Errors, omissions, failed links etc should be notified to the Catalogue Team