Master of Engineering (MEng)

MEng Mechatronic Engineering

*This course is now closed for applications for 2025 entry.

  • Duration: 4 years
  • Year of entry: 2025
  • UCAS course code: HHH6 / Institution code: M20
  • Key features:
  • Scholarships available
  • Accredited course

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Fees and funding

Fees

Tuition fees for home students commencing their studies in September 2025 will be £9,535 per annum (subject to Parliamentary approval). Tuition fees for international students will be £34,000 per annum. For general information please see the undergraduate finance pages.

Policy on additional costs

All students should normally be able to complete their programme of study without incurring additional study costs over and above the tuition fee for that programme. Any unavoidable additional compulsory costs totalling more than 1% of the annual home undergraduate fee per annum, regardless of whether the programme in question is undergraduate or postgraduate taught, will be made clear to you at the point of application. Further information can be found in the University's Policy on additional costs incurred by students on undergraduate and postgraduate taught programmes (PDF document, 91KB).

Scholarships/sponsorships

The University of Manchester is committed to attracting and supporting the very best students. We have a focus on nurturing talent and ability and we want to make sure that you have the opportunity to study here, regardless of your financial circumstances.

For information about scholarships and bursaries please visit our undergraduate student finance pages and our Department funding pages .

Course unit details:
Networks and Internet of Things

Course unit fact file
Unit code EEEN40482
Credit rating 15
Unit level Level 4
Teaching period(s) Semester 2
Available as a free choice unit? No

Overview

Introduction to the IoT and Network Basics : Wireline, ad hoc and sensor networks, PANs, LANs, WANs, Node and network technology, applications and links to enabling technologies Protocols, state machines, the protocol stack, infrastructure vs ad hoc, reliable transmission.

Networking for IoT: Revision of basic networks: Wired vs wireless,  protocols, state machines, the protocol stack,  infrastructure vs ad 
hoc, channel access, reliable transmission, addressing, routing,  congestion.

IoT Security Basic IoT security requirements, introduction to cryptography.

Basics about the estimation theory, and practical algorithm for localization in IoT networks.

Network performance, modelling and simulation: Performance metrics, review of Markov chains, simple queuing theory and application to 
protocols, discrete event simulation.

Pre/co-requisites

Unit title Unit code Requirement type Description
Data Networking EEEN30111 Pre-Requisite Compulsory
To select unit EEEN40482, you need to have selected unit EEEN30111 Data Networking in your 3rd Year.

Aims

The unit aims to: Provide a thorough introduction to the Internet of Things (IoT) in general and to those aspects of computer networks that underpin the IoT in particular.

Learning outcomes

On successful completion of the course, a student will be able to:

ILO 1: Appraise the importance of IOT and its dependence on enabling technologies. scope and applications.

ILO 2: Identify the requirements, structure and implementation of IoT platforms, in terms of hardware and software.

ILO 3: Appraise the need of the protocol stack and the issues and techniques relevant at each layer.

ILO 4: Assess the networking requirements of different IoT applications, particularly related to localization and estimation.

ILO 5: Be able to reason about situations arising in the use of IoT in terms of MAC, routing and transport protocols.

ILO 6: Apply appropriate statistical tools, including queuing and estimation theories, to model and assess the behaviour and performance of IoT in different environments.

Teaching and learning methods

Approaches to be employed will include:

Face-to-face lectures
Recorded lectures
On-line quizzes
Tutorials/problems classes

Assessment methods

Method Weight
Other 20%
Written exam 80%

Unseen written exam (80%)
Online test (2%)
Network simulation (8%)
Lab exercise report (10%) 

Feedback methods

Standard feedback on exam following Exam Board.
Immediate feedback on online test.
Network simulation - mark plus feedback 3 weeks after submission.
Lab report - mark plus feedback 3 weeks after submission.

Study hours

Scheduled activity hours
Assessment written exam 3
Lectures 33
Tutorials 32
Independent study hours
Independent study 82

Teaching staff

Staff member Role
Fumie Costen Unit coordinator
Zhiguo Ding Unit coordinator

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