5XÉçÇøÊÓƵ

School of Engineering and Informatics (for staff and students)

5G Mobile Communications and Intelligent Embedded Systems (with an industrial placement year)

(MSc) 5G Mobile Communications and Intelligent Embedded Systems (with an industrial placement year)

Entry for 2023

FHEQ level

This course is set at Level 7 (Masters) in the national Framework for Higher Education Qualifications.

Course Aims

The aim of this course is to develop academic and professional excellence both for newly qualified and practising engineers who wish to extend their professional expertise in the field of advanced mobile communications and intelligent embedded systems. It aims to enhance both theoretical knowledge and practical skills in Mobile Communications, Internet-of-Things and Embedded System Practice, Advanced Digital Signal Processing, Reconfigurable System on Chip, Wearable Technologies, and Image Processing. In addition, option modules covering a range of application areas allow for individual specialisation. The course benefits from the research activities and associated facilities in the Advanced Communications, Mobile Technology, and IoT (ACMI) Centre, and other research activities and facilities in Sensor and Wearable Technologies, Industrial Informatics and Signal Processing, and Robotics. The MSc course with industrial placement offers the opportunity to spend a year in the employment of a company to gain industrial experience in a real work environment. It also provides an ideal platform to launch a future career. The industrial placement is supported by the Careers and Employability Centre at the 5XÉçÇøÊÓƵ.

Course learning outcomes

M1. Apply a comprehensive knowledge of mathematics, statistics, natural science and engineering principles to the solution of complex problems. Much of the knowledge will be at the forefront of the particular subject of study and informed by a critical awareness of new developments and the wider context of engineering.

M2. Formulate and analyse complex problems to reach substantiated conclusions. This will involve evaluating available data using first principles of mathematics, statistics, natural science and engineering principles, and using engineering judgment to work with information that may be uncertain or incomplete, discussing the limitations of the techniques employed.

M3. Select and apply appropriate computational and analytical techniques to model complex problems, discussing the limitations of the techniques employed.

M4. Select and critically evaluate technical literature and other sources of information to solve complex problems.

M5. Design solutions for complex problems that evidence some originality and meet a combination of societal, user, business and customer needs as appropriate. This will involve consideration of applicable health and safety, diversity, inclusion, cultural, societal, environmental and commercial matters, codes of practice and industry standards.

M7. Evaluate the environmental and societal impact of solutions to complex problems (to include the entire life-cycle of a product or process) and minimise adverse impacts.

M16. Function effectively as an individual, and as a member or leader of a team. Evaluate effectiveness of own and team performance.

M17. Communicate effectively on complex engineering matters with technical and non-technical audiences, evaluating the effectiveness of the methods used.

Full-time course composition

YearTermStatusModuleCreditsFHEQ level
1Postgraduate Academic YearCoreMSc Individual Project (864H1)607
 Autumn SemesterCoreAdvanced Digital Signal Processing (102H6)157
  CoreInternet-of-Things and Embedded System Practice (883H1)157
  CoreMobile Communications (826H1)157
  OptionAdvanced Electronic Systems (524H1)157
  Cybernetics and Neural Networks (100H6)157
 Spring SemesterCoreImage Processing (521H3)157
  CoreReconfigurable System on Chip (822H1)157
  CoreWearable Technologies (867H1)157
  OptionCryptography (L.7) (860G1)157
  Strategic Management - Engineering module (519H3)157
YearTermStatusModuleCreditsFHEQ level
2Postgraduate Academic YearCore5G Industrial Placement Year (885H1)1807

Please note that the 5XÉçÇøÊÓƵ will use all reasonable endeavours to deliver courses and modules in accordance with the descriptions set out here. However, the 5XÉçÇøÊÓƵ keeps its courses and modules under review with the aim of enhancing quality. Some changes may therefore be made to the form or content of courses or modules shown as part of the normal process of curriculum management.

The 5XÉçÇøÊÓƵ reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the 5XÉçÇøÊÓƵ. If there are not sufficient student numbers to make a module viable, the 5XÉçÇøÊÓƵ reserves the right to cancel such a module. If the 5XÉçÇøÊÓƵ withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.

School of Engineering and Informatics (for staff and students)

School Office:
School of Engineering and Informatics, 5XÉçÇøÊÓƵ, Chichester 1 Room 002, Falmer, Brighton, BN1 9QJ
ei@sussex.ac.uk
T 01273 (67) 8195

School Office opening hours: School Office open Monday – Friday 09:00-15:00, phone lines open Monday-Friday 09:00-17:00
School Office location [PDF 1.74MB]