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Computer Science and Electronic Engineering BEng (Hons) – Digital Media Technology (DMT) pathway: XJTLU 2+2 programme
Course overview
This programme combines the core elements of electronic engineering with those of computer science, which is the intellectual discipline underlying all aspects of software development.
Combining elements from these two disciplines will equip you with an added breadth of knowledge and greater specialisation. Our graduates are in demand because of their fluency both in the language of electronic engineers, as well as that of computer scientists, enabling you to bridge the gap between software systems and the real world.
You’ll be taught by staff who are actively engaged in research, most with international reputations, ensuring you’ll receive the most up-to-date and commercially-relevant education.
Take your university experience even further on a paid year-long industry placement, or spend a year abroad at a partner university or our China campus.
What you’ll learn
- A broad educational background in electronics and computing
- Critical thinking
- Teamwork
- The practical application of concepts and theory, always with awareness of their relevance to the real world
- How to take projects from conception, through to design, implementation and operation
- Use of industry standard tools, technologies and working methods.
Fees and funding
Tuition fees cover the cost of your teaching and assessment, operating facilities such as libraries, IT equipment, and access to academic and personal support.
Tuition fees
All XJTLU 2+2 students receive a partnership discount of 10% on the standard fees for international students. We also offer 50 XJTLU Excellence Scholarships providing a 25% discount on tuition fees to the students that score most highly in stage 2 at XJTLU across the different subject areas. Allocation is based on the number of applications received per programme.
The net fees (inclusive of the discounts) can be seen below.
XJTLU 2+2 fees | ||
---|---|---|
2025 tuition fee (full) | £29,900 | |
2025 tuition fee for XJTLU 2+2 students (inclusive of 10% discount) | £26,910 | |
2025 tuition fee for XJTLU 2+2 students qualifying for Excellence Scholarship (inclusive of 25% discount) | £22,425 |
Course content and modules
Year two
The second year builds on the first with core modules in software engineering, database development, digital electronics, and signals and communication systems. More time is spent in the electronics laboratory doing practical work to consolidate the knowledge learnt in lectures and partaking in an extended team project.
On the 2+2 programme, you'll study your third and fourth years at the University of Liverpool. These will be year two and year three of the University of Liverpool's programme of study.
Programme details and modules listed are illustrative only and subject to change.
Compulsory
Advanced Artificial Intelligence (COMP219)
Credits: 15 / Semester: semester 1
This module will provide students with an introduction to the machine learning. It will contain traditional machine learning algorithms, deep learning algorithms, and probabilistic graphical models. Both theoretical knowledge and practical skills will be offered.
Database Development (COMP207)
Credits: 15 / Semester: semester 1
This module introduces students to the problems arising from databases, including concurrency in databases, information security considerations and how they are solved; the integration of heterogeneous sources of information and the use of semi-structured data; non-relational databases and the economic factors involved in their selection and to techniques for analysing large amounts of data, the security issues and commercial factors involved with them.
Signals and Systems (ELEC270)
Credits: 15 / Semester: semester 1
Introduces continuous and discrete signal operations and analysis, the frequency domain and spectral analysis, including Fourier Series and Fourier, Laplace and z Transforms. Introduces system quantification and analysis, including pole-zero plots, feedback, basic stability criteria and block diagrams.
Software Engineering I (COMP201)
Credits: 15 / Semester: semester 1
This module deals with the issues associated with the analysis, design, implementation and testing of significant computing systems (that is, systems that are too large to be designed and developed by a single person).
Communication Systems (ELEC202)
Credits: 7.5 / Semester: semester 2
This module will teach fundamental knowledge on communication systems.
Digital Electronics & Microprocessor Systems (ELEC211)
Credits: 15 / Semester: semester 2
This module covers two areas. In digital electronics, it covers topics which build on the basic knowledge gained in the first year digital electronics programme and learning some hardware description language (HDL) programming. In microprocessor systems, it introduces the topic from the basics describing how a microprocessor works and learning some assembly language programming.
Amplifier Circuits - Design and Applications (ELEC219)
Credits: 15 / Semester: semester 2
The module introduces basic concepts of the electronic circuits incorporating amplifiers required for instrumentation and communication. It deals with a wide range of amplifiers and the problems that might be encountered in a actual application. It also deals with circuitry needed in communication for example oscillators and phase-locked-loops.
Project, Problem Solving & Industrial Awareness (ELEC222)
Credits: 7.5 / Semester: whole session
The aim of this module is to provide students with practical work which underpins, confirms and gives application focus for academic study, while testing a wide range of skills.
Year three
You will undertake an extended individual project during this year. Recent projects have included real-time GPS tracking of a vehicle fleet by mobile phones, and mobile multi-user dungeon (MUD) game using SMS messaging. You can choose lecture-based modules from both Electronic Engineering and Computer Science.
Year three semesters one and two final year project
You will undertake either a Computer Science final year project (COMP390) or an Electrical Engineering and Electronics final year project (ELEC340).
On the 2+2 programme, you'll study your third and fourth years at the University of Liverpool. These will be year two and year three of the University of Liverpool's programme of study.
Programme details and modules listed are illustrative only and subject to change.
Compulsory
App Development (COMP228)
Credits: 15 / Semester: semester 1
App Development is an exploration of the design and programming of application programs on mobile devices. It covers topics such as how to design for small displays and non-traditional input devices; what the expectations of mobile users are; how to use publicallly accessible data sources to develop innovative solutions.
Application Development with C++ (ELEC362)
Credits: 15 / Semester: semester 1
This course will help student to understand the object-oriented design concept and to gain knowledge and practical skills of C++ as an advanced programming language.
On successful completion of the module, students should be able to understand/design/develop C++ applications (both console and GUI-based) with a specific emphasis on developing GUI-based applications.
Engineering Management & Entrepreneurial Skills (ELEC352)
Credits: 7.5 / Semester: semester 1
This module covers project management for year 3 students registered in the Department of Electrical Engineering and Electronics. Entrepreneurial skills are also be covered.
Cloud Computing for E-Commerce (COMP315)
Credits: 15 / Semester: semester 2
This module will provide an introduction to cloud computing. It will cover physical cloud infrastructure (data-centres, networks and servers), and the software stacks that run on it (containers, micro-services, orchestration and web frameworks).
During the course, students will assemble their own cloud-based application, which will be a webpage with a scalable micro-service-based backend.
Neural Networks (ELEC320)
Credits: 7.5 / Semester: semester 2
Introduction to neural network theory, applications and artificial intelligence.
Optional
BEng Project (ELEC340)
Credits: 30 / Semester: whole session
Students undertake an extended individual project. Projects are specified by academic staff and cover the whole range of Electrical and Electronic Engineering including hardware (both analogue and digital), software and simulation or a mixture of these. Students can also suggest their own projects which need to be approved by an academic supervisor. Students work closely with their academic supervisor to realize their project aims and assessment is split between a preliminary report, an oral presentation, the bench inspection and the final report.
Honours Year Computer Science Project (COMP390)
Credits: 30 / Semester: whole session
The honours year project gives students the opportunity to study independently on an extended piece of work under the guidance of an academic supervisor. Many diverse projects are available for selection, inspired by the research of the department. Each student is encouraged to propose a project in an area that meets their own personal needs, whether it’s related to their career aspirations or simply an interesting academic pursuit. The project consolidates learning from the taught part of the course, with authentic assessment that is designed to encourage communication of complex ideas via a range of media. On completion of the module, students will have the confidence to pursue their career, having developed proficiency in their chosen topic and an ability to communicate clearly and effectively.
ADVANCED MODERN MANAGEMENT (MNGT352)
Credits: 7.5 / Semester: semester 1
Digital and Wireless Communications (ELEC377)
Credits: 15 / Semester: semester 1
This module provides an extensive coverage of the theory and practice of digital and wireless communication systems, to allow the students to be able to design and develop digital and wireless communication systems, with an awareness of all the main factors involved and of existing and emerging technologies.
Digital System Design (ELEC373)
Credits: 15 / Semester: whole session
This module introduces students to the digital design techniques used in industry and research. The methods for describing digital systems using the Verilog Hardware Description Language (HDL) are introduced. Student will examine the operation of the MIPS Processor and will also be introduced to Altera’s NIOS-II Processor. The module is assessed via 4 assignments and two class tests. Altera’s Quartus package is used for synthesising the digital systems.
Image Processing (ELEC319)
Credits: 7.5 / Semester: semester 1
This module covers the fundamentals of how images are generated, represented, compressed and processed to extract features of interest.
Introduction to Computational Game Theory (COMP323)
Credits: 15 / Semester: semester 1
This module is an introduction to the area of algorithmic game theory, which is a novel area in the intersection of economics and computer science. It provides tools for dealing with and analysing problems related to applications motivated by the Internet. Examples involve various Internet auctions and e-commerce systems, like, Google’s sponsored search, Ebay auctions, recommendation systems, etc.
Low Power Computer Architecture (ELEC370)
Credits: 15 / Semester: semester 1
In this module students gain an understanding of the architecture and operation of embedded computer systems and their components. Furthermore, they gain an understanding of how computer performance is dependent upon the design of computer architectures and sub-circuits.
Multi-Agent Systems (COMP310)
Credits: 15 / Semester: semester 2
Multi-agent systems have emerged as one of the most important areas of research and development in information technology in the 1990s. A multi-agent system is one composed of multiple interacting software components known as agents, which are typically capable of co-operating to solve problems that are beyond the abilities of any individual member. Multi-agent systems are important primarily because they have been found to have very wide applicability, in areas as diverse as industrial process control and electronic commerce. This module will begin by introducing the student to the notion of an agent, and will lead them to an understanding of what an agent is, how they can be constructed, and how agents can be made to co-operate effectively with one another to solve problems.
Ontologies and Semantic Web (COMP318)
Credits: 15 / Semester: semester 2
This modules provides a basic introduction to the main principles behind representing and retrieving knowledge effectively on the Web. The module covers the evolution from the standard Web to the Semantic Web, and gives student the opportunity to gain an awareness of the main methods and techniques, including practical awareness, of the main issues arising in annotating web pages with semantic information, in interlinking pages with similar semantic content and in effectively querying these pages.
Signal Processing and Digital Filtering (ELEC309)
Credits: 15 / Semester: semester 2
This module is aimed at developing the basic framework for signal processing and to demonstrate its applications. Also, the module provides students with a good understanding of the types, behaviours and design of FIR and IIR digital filters.
Teaching and learning are provided through a variety of means like formal lectures, problem sheets, supplementary questions, along with formative and summative online tests (through CANVAS, the electronic VLE system).
Assessment is carried out by means of two assignments and final (written) exam.
Software Engineering II (COMP319)
Credits: 15 / Semester: semester 1
The overall aim of this module is to introduce students to a range of advanced, near-research level topics in contemporary software engineering. The actual choice of topics will depend upon the interests of the lecturer and the topics current in the software engineering research literature at that time. The course will introduce issues from a problem (user-driven) perspective and a technology-driven perspective where users have new categories of software problems that they need to be solved, and where technology producers create technologies that present new opportunities for software products. It will be expected that students will read articles in the software engineering research literature, and will discuss these articles in a seminar-style forum.
Your experience
Video
Computer Science and Electronic Engineering 2+2 – Teng Dequn
Teng Dequn shares their experience on the Computer Science and Electronic Engineering 2+2 course.
Supporting your learning
From arrival to alumni, we’re with you all the way:
- Careers and employability support, including help with career planning, understanding the job market and strengthening your networking skills
- A dedicated student services team can help you get assistance with your studies, help with health and wellbeing, and access to financial advice
- Confidential counselling and support to help students with personal problems affecting their studies and general wellbeing
- Support for students with differing needs from the Disability advice and guidance team. They can identify and recommend appropriate support provisions for you.
What students say...
Our university provides a high standard of academic integrity training, supported by lecturers and professors with high academic achievements teaching approach. Graduate student from CSEE major.
Watch our Vlog
A day in the life of Electrical Engineering and Electronics student Manon Sowerby