Internet of Things with or without Applied Research

The Internet of Things (IoT) has become one of the most discussed technology trends of recent years, mainly due to the expected impact that it will have on how we live, work and travel. This is a specialist programme that prepares you for an industrial career with skills in computing science, engineering and data analytics.

As the expectations of how IoT will redefine how an organisation’s operations grow, so too are the expectations to have knowledgeable and skilled staff with an appreciation for business processes and market potential. The course content is informed by our internationally leading research and strong industry partnerships, most notably our jointly established BT Ireland Innovation Centre.

Graduate opportunities exist across a range of industrial settings within the sector across the key verticals of Smart Cities, Industrial IoT, Connected Health and Smart Homes. Alternatively, you may want to embark on further research at the PhD level.

Work placement / study abroad
The course doesn’t require placement experience.

There are opportunities in the course for you to participate in research and industry related projects in the IoT domain through our two Innovation centres BTIIC and CHIC.

BTIIC is the BT Ireland Innovation Centre (BTIIC) in collaboration with Ulster University and BT. The centre aims to invent new ways of using data analytics, artificial intelligence and the IoT, through two work streams of Intelligent System and IoT.

CHIC is the Connected Health Innovation Centre is funded by Invest NI to support business led research in the area of connected health, with focus on data analytics and IoT. The centre currently has over 30 national and international member companies with both technical expertise and clinical experience.

For further course details please see "Course Web Page".

Students will study the following modules;
• Pervasive Computing
• Statistical Modelling & Data Mining
• Digital Signal Processing
• IoT Networks & Security
• Big Data & Infrastructure
• Embedded Systems & Sensors

Optional Modules.
• Masters Project
• Masters Applied Research Project

Standard entry conditions
To apply to our postgraduate taught programmes, you must meet the University’s General Entrance Requirements and any course-specific requirements.

Entry Requirements
You need:
(a)
(i) a second class lower division honours degree or better, in the subject areas of computing, engineering or cognate area from a university of the United Kingdom or the Republic of Ireland, or from a recognised national awarding body, or from an institution of another country which has been recognised as being of an equivalent standard; or

(ii) an equivalent standard (normally 50%) in a Graduate Diploma, Graduate Certificate, Postgraduate Certificate or Postgraduate Diploma or an approved alternative qualification; and the qualification must be in the subject areas of computing, engineering or related discipline

and

(b) provide evidence of competence in written and spoken English (GCSE grade C or equivalent).

In exceptional circumstances, as an alternative to (a) (i) or (a) (ii) and/or (b), where an individual has substantial and significant experiential learning, a portfolio of written evidence demonstrating the meeting of graduate qualities (including subject-specific outcomes, as determined by the Course Committee) may be considered as an alternative entrance route. Evidence used to demonstrate graduate qualities may not be used for exemption against modules within the programme.

Your Application
Application is through the University's online application system (see "Application Weblink").

Full-Time/Part-Time. Applied Research available full-time only.

Start Dates: September 2024 and January 2025

Career options
The Internet of Things has become one of the most discussed technology trends of recent years, mainly due to the expected impact that it will have and, as a result, how it will change the way people live, work and travel. As the expectations of how IoT will redefine an organisation’s operations grow, so too are the expectations to have knowledgeable and skilled staff in the areas of computing, engineering and data science in addition to having an appreciation for business processes and market potential.

Taking all of this into consideration, graduates from the course will be well placed to progress into a wide variety of careers, across a range of industrial settings within the sector across the key verticals of Smart Cities, Industrial IoT, Connected Health and Smart Homes. We have active Industry engagement and links with vibrant technology sector in Northern Ireland. Graduates from the course also have opportunity to embark on further research at the Ph.D. level.