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Computer Science and Engineering● OpenMastersOpen until filledPreview

MSc in Internet of Things with Industrial Placement

A master’s programme combining IoT theory with hands-on industrial placement for hands-on practitioner training.

Best for:Best for graduates in computer science, software engineering, electronic engineering, or related disciplines seeking hands-on IoT experience through industry placement.

Ulster University · Belfast, Ireland
More professors at Ulster University
Internet of Things (IoT)Embedded SystemsIndustrial Software EngineeringHardware-Software IntegrationData Acquisition and Processing
This is a masters position — not a PhD studentship.
Deadline
Until filled
rolling
Funding
Unfunded
2 years (including industrial placement)
Start date
flexible (rolling admissions)
Full-time
Location
Belfast
Ireland

Overview

This MSc programme at Ulster University prepares students to become skilled IoT practitioners by blending academic coursework with a mandatory industrial placement. The curriculum covers core IoT concepts, software engineering, and hardware integration, while the placement provides real-world experience in industry settings. Ideal for graduates in computer science, engineering, or related fields, the programme emphasizes practical application and industry collaboration. Students engage in research projects alongside their placement, ensuring a well-rounded skill set for careers in IoT development and deployment. The programme is designed to be flexible, with rolling admissions and no fixed deadline, allowing applicants to apply at any time.

IoT master's programmeindustrial placementembedded systemssoftware engineeringhardware integrationcomputer scienceelectronic engineeringindustry collaboration

What you'll do

  • Develop and implement IoT solutions through a combination of academic coursework and hands-on industrial training.
  • Engage in research projects focused on IoT technologies, data acquisition, and system integration.
  • Participate in lectures, tutorials, and practical lab sessions covering IoT fundamentals, software engineering, and hardware design.
  • Complete a mandatory industrial placement in the second year to gain real-world experience in IoT deployment and development.
  • Collaborate with industry partners to solve practical IoT challenges and contribute to ongoing projects.
  • Conduct independent research and present findings in a final research project or dissertation.

Requirements

Degree required: An upper second-class honours degree (2:1) or equivalent in Computer Science, Software Engineering, Electronic Engineering, Electrical Engineering, Mathematics, Physics, or a closely related discipline from a UK, Irish, or internationally recognised institution. Alternatively, an equivalent standard in a Graduate Diploma, Graduate Certificate, Postgraduate Certificate, or Postgraduate Diploma in the same or related fields.

Language: English proficiency: GCSE grade C or equivalent for native speakers; Academic IELTS 6.0 with no band score less than 5.5 for non-native speakers.

Instruction: English

Required skills
  • Proven academic background in computer science, engineering, or related disciplines.
  • Basic proficiency in programming and hardware development.
  • Ability to work independently and collaboratively in academic and industrial settings.
Nice to have
Experience with IoT platforms, embedded systems, or related technologies.Familiarity with data acquisition and processing techniques.Prior exposure to industrial project environments.
Eligibility
  • Open to applicants from the UK, Ireland, and internationally recognised institutions.
  • No specific nationality restrictions, but degree equivalence must be verified.
  • No age restrictions.
  • Exceptional cases may consider substantial experiential learning with a portfolio of evidence.

Funding & terms

Type
Unfunded
Amount
—
Duration
2 years (including industrial placement)
Programme
—

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Deadline: rolling admissions (no fixed deadline) · open until filled

Applicants can apply directly to Ulster University at any time. It is recommended to submit the application at least two weeks prior to the course start date to allow sufficient time for review and completion of pre-enrolment tasks. Check the course page for any additional selection criteria such as interviews or portfolio submissions.

Documents required
  • CV or resume
  • Academic transcripts (BSc or equivalent)
  • Proof of English language proficiency (if applicable)
  • Personal statement or statement of purpose
  • Two letters of recommendation (if required)
↗Check programme and admissions

Contact

Lab
School of Computing and Mathematics
Ulster University
Ireland
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