Universities United Kingdom Queen Mary University of London Courses MSc Internet of Things

MSc Internet of Things

Queen Mary University of London

London, United Kingdom

Tuition Fee £ 25,150
Country Rank#15
Duration12 Months
Score IELTS: 6.5 TOEFL: 92

Program Overview

This innovative MSc equips students with the key skills to design and engineer the next generation of connected devices and systems. You will also gain a solid understanding of AI-driven data analysis and learn how human interaction with IoT goes far beyond the internet. This programme has been specifically designed to meet the industry need for a new kind of IT specialist.

Engineer new interactive smart devices (things) including hardware, software, physical object, and human interaction co-design.
Acquire, fuse and analyse data collected from multi-sensors embedded in smart objects using AI and data science driven approaches.
Interconnect new and existing devices as part of larger and more diverse systems.
Learn and apply new paradigms such as edge computing, 5G cellular networks and many-to-many protocols such as MQTT.
Work with the most up-to-date technologies - each topic is backed up by our world-leading research centres and groups
Fulfil the educational requirements for registration as a Chartered Engineer, accredited by The Institution of Engineering and Technology (IET)

Course Content
This programme teaches you practical skills, underpinned by core theories so that you are able to gain expertise in the key skill areas of the internet of things.

Through a combination of compulsory and elective models, you will explore a range of industry-relevant data analysis skills. These include Applied Statistics, where you will use the R-Language to find patterns in data; Big Data Processing using Google’s MapReduce & Apache Hadoop; Machine Learning using Keras and Data Analytics using Python.

During the programme, you will also gain fundamental practical skills and learn how to engineer new smart devices. We teach you how to prototype innovative smart objects for IoT. You will focus on using a range of sensors, actuators and microcontroller and microcomputer boards, especially for location determination such as: air quality sensing, human activity recognition and robotics.

We also teach you how to interconnect new and existing things to each other. We cover a range of networks including short-range, such as Near Field Communication and wireless personal area networks like Bluetooth and ZigBee. We also explore local area networks like Wi-Fi and cellular networks such as 5G and 6G, as well as cloud computing and edge computing.

Structure
- Four compulsory modules
- Four elective modules
- Compulsory 10,000-15,000-word final dissertation/project
Entry Requirement
UK
Degree requirements
A 2:1 or above at undergraduate level in Computer Science, Electronic Engineering, Mathematics or a related discipline.

Student Visa Regulations

If you will require a Student visa to study in the UK, you must meet the minimum English Language requirements to meet the UKVI regulations. The minimum IELTS requirement is 5.5 in all four skills (Writing, Reading, Speaking and Listening). However, many of our courses require higher grades.

Pre-sessional English Language Courses

If you fall slightly below our standard English language requirements, you may consider one of our Pre-sessional English courses. Please note that you will require a UK government approved Secure English Language Test (SELT) for entry to our Thirteen week pre-sessional courses. Currently, only IELTS for UKVI, PTE Academic (UKVI), LanguageCert International ESOL SELT and Trinity College London, Integrated Skills in English (ISE) are accepted. The Pre-sessional English course requirements are published according to the academic department within which your chosen course of study is administere
Fees & Scholarships
- Full-time study
September 2022 | 1 year

Home: £11,850
Overseas: £25,150

Conditional deposit
Home: £2000

Overseas: £2000
- Part-time study
September 2022 | 2 years

Home: £5,950
Overseas: £12,600

Conditional deposit
Home: £2000

Overseas: £2000
Career Prospect
The broad range of skills gained through this MSc, coupled with extra-curricular activities and work experience, has enabled graduates to move into a wide variety of careers such as:
- Data scientist/analyst
- IoT/Cloud Software Developer
- IoT Infrastructure Architect
- IoT Systems Administrator
- Cyber Engineer
- Embedded Device Engineer
IoT use is increasing in every industry from smart cities to health, entertainment to telecoms. Examples include:
- Major IoT divisions: IBM, Google, Cisco, Intel, GE, HP.
- Platform companies: Kaa, Oracle, Salesforce, Microsoft, Amazon.
- Sensor companies: Plc., Digi International Inc., Ericsson.
- Industrial companies: ASEA Brown Boveri, GE, AT&T, Intel.

Cost Of Studying At Queen Mary University of London

Interest rates as low as 8.9% ^*

250K+

Students Assisted

800Cr+

Loan Amount Disbursed

5000+

Loans Sanctioned

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