Other options

If you study Digital Media Technology BEng at XJTLU you can choose from these options to study at the University of Liverpool on the XJTLU 2+2 programme.

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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.

Accreditations

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
Fees stated are for the 2025-26 academic year.

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.

Your experience

Supporting your learning

From arrival to alumni, we’re with you all the way:

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.

, BEng (Hons) Computer Science and Electronic Engineering