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Internet of Things

*This course is undergoing academic validation. Please note that the information displayed here is subject to change as part of this process.

Providing high-quality professionals for the Internet of Things industry.

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 and, as a result, how it will change the way people live, work and travel. As a discipline, it covers elements of Computing Science, Engineering, and Data Science.

The MSc in Internet of Things aims to train computing and engineering professionals to follow a career where they can apply leading-edge computing, engineering, sensor technology, networks and data science skills across a range of application domains. The course content has been informed by internationally leading research being conducted by the School of Computing and the School of Engineering. The delivery of the course is supported by a large-scale pervasive and mobile computing environment, a suite of contemporary sensing technologies and rapid prototyping facilities.

The University regularly 'refreshes' courses to make sure they are as up-to-date as possible. The University calls this process 'academic revalidation'. This course will be 'refreshed' and changes may be put in place.

For the most up-to-date course/ module information, please contact the Course Director

This intensive one-year specialist master's course on Internet of Things is aimed at highly-motivated graduates with a good honours degree in computing, engineering or a related discipline. While the course has a particular focus on the employment needs of the local economy, the skills and abilities developed are easily transferred to a more global stage.

The Internet of Things is an exciting and exponentially growing area both within industry and academic. It sits at the intersection between Computing Science, Engineering and Data Science. The proposed MSc in Internet of Things will, therefore, prepare students for both an industrial career with skills in computing, networks, sensor technologies and data analytics in addition to providing a relevant platform to embark on research studies. These types of skills are in high demand within the sector across the key verticals of Smart Cities, Industrial IoT, Connected Health and Smart Homes.

Teaching and learning
Teaching is delivered through a combination of lectures, directed tutorials, seminars and practical sessions. Support is also provided for project preparation and implementation.

Work placement / study abroad

Entry requirements

Entry conditions
We recognise a range of qualifications for admission to our courses. In addition to the specific entry conditions for this course you must also meet the University's General Entrance Requirements. For general entrance requirements go to:

Entry Requirements
Applicants must:

(a) have gained

(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


(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

English Language Requirements
English language requirements for international applicants
The minimum requirement for this course is Academic IELTS 6.0 with no band score less than 5.5. Trinity ISE: Pass at level III also meets this requirement for Tier 4 visa purposes.

Ulster recognises a number of other English language tests and comparable IELTS equivalent scores.

Exemptions and transferability
Consideration will be given to applicants who transfer from other accredited MBA courses.

Students who have studied an equivalent qualification to level 7 covering the subject matter on the MBA may, by application to the Course Committee, be granted exemption from specific modules.


This is a full-time, one year (12 months) programme, delivered across three semesters.

Careers or further progression

Career options
The Internet of Things is expected to have a significant impact on industry with predictions of its success and growth constantly rising. It is at the same time the most anticipated and least understood initiative within IT departments. Figures at the start of 2018 suggest that nearly 70% of organisations have developed plans to embrace IoT in their organisation within the next year. As the expectations of how IoT will redefine an organisation's operations grow so too are the expectations to have appropriately 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 MSc in Internet of Things will be well placed to progress into a wide variety of careers, across a range of industrial settings and application domains.

There are also opportunities for graduates from the MSc Internet of Things to embark on further research by enrolling for PhD study affiliated with the research centres within the School of Computing and the School of Engineering. Computing related PhD studies can be perused in the areas of Pervasive Computing and Artificial Intelligence within the School of Computing whilst sensor technology, networking and RTOS research can be undertaken within the School of Computing.

Further enquiries

Course Director: Dr Jose Santos
T: +44 28 9036 6585

Faculty of Computing, Engineering and the Built Environment
T:+44 28 9036 6305


Academic profile
Ulster University academics are actively involved in both research and teaching and this ensures that the developments accrued through research can feed into the teaching of students. A high percentage of staff are members of the Higher Education Academy, and all staff are expected to have a Postgraduate Certificate in University Teaching or equivalent. All Computing and Engineering courses are subject to periodic Faculty Review and University Revalidation.

Assessment method

The course is assessed by coursework.

Application date

Applications to our postgraduate courses are made through the University's online application system. 
The closing date for applications is the end of August.

Enrolment and start dates

Start Date: September 2018

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