MSc Internet of Things (IoT)

Course contact

Dr. Naeem Ramzan / Dr. Zeeshan Pervez
0800 027 1000 (+44 141 849 4101 out with UK)


  • School of Engineering and Computing

Qualifications and durations

PgDip Advanced Computing leading to MSc Internet of Things
1 year / 2 years (full-time / part-time)


Start date(s)

  • September and January

Tuition Fees

Additional costs
Please note that for some programmes of study there may be additional costs involved which are not included in the tuition fee advertised. These could be, for example, for study materials, fields trips or equipment. Programme leaders will be able to provide detail of any additional costs.
This programme is mainly motivated by the growing importance of internet-of-things. International Data Corporation (IDC: a market research firm) predicated the IoT market will grow to £4.93 trillion in revenue by 2020. Gartner estimated that the total number of IoT devices will hit 26 billion units by 2020.
The MSc Internet of Things (IoT) is a post graduate programme focusing on teaching advance topics of the internet-of-things. It is designed to develop practical skills by providing a comprehensive understanding of fundamental knowledge and hands-on experience of IoT technologies within industry and academia. Modules will focus on planning, analysing, developing, evaluating, deploying, and managing IoT systems/services for modern day organisations/businesses. All modules are designed to respect the overarching themes of IoT, delivering research informed teaching in lectures, tutorials, and laboratory sessions; other modules will focus on academic, research and ethical practices within a professional environment.

Please note that this course is recognised as by Scottish Awards Agency Scotland (SAAS) for access to postgraduate tuition fee and cost-of-living loans for UK and EU applicants.
Appropriate undergraduate qualification: Honours Degree (2.2 or above) in Computing/ Engineering (or Relevant Disciplines) from a UK academic institute or an equivalent 4-year international degree qualification. Applicants may also be considered with other academic, vocational or professional qualifications deemed to be equivalent.

Conditional approved.
In the programme, unique and challenging modules are introduced for example Mobile networks and smartphone applications, Data mining and visualization, in addition to Ethics for IT professionals and Object oriented analysis and design that provide the basics for Internet of Things (IoT). Advanced wireless networking technologies and Internet of Things are introduced to in depth knowledge of the field. In addition, two modules which focus on research and the latest trends in the field, namely, Research design and methods and Emerging topics in smart networks, help to define and complete the research project on time.

Common Modules

  • Mobile Networks and Smartphone Application 
  • Data Mining and Visualization 
  • Ethics for IT professionals 
  • Object-oriented Analysis & Design
  • Research Design and Methods
  • Emerging Topics in Smart Networks
  • Masters Project 

Optional Modules

  • Internet-of-Things
  • Advanced Wireless Networking Technologies
Cisco forecasted that the IoT will become a £13 trillion market – approximately six times the growth rate of the overall information technology market.
Choosing this programme will enable you to gain the essential knowledge and skills to be placed in the internet technologies and telecommunications industries. You will also be prepared to enter research and developmental positions in academia. The graduates can go for a role of technical developer, project manager in IoT, Technical manager, etc.

Successful completion of the programme prepares you for advanced research studies in related technology areas. Graduates have the priority to be admitted to the MPhil/PhD degree programmes.

Useful Information

  • Data_Lab_Black Logo

    We are delighted to announce that our Advanced Computing Masters framework has been awarded 12 fully-funded tuition fee scholarships by The Data Lab* for the September 2016 entry of the MSc Big Data option stream within the Advanced Computing framework. This means that for 12 Scottish / EU students aiming to study for the MSc Big Data it will be tuition fee free.

    To be considered for The Data Lab scholarship, you should indicate their intention to select the MSc Big Data stream within your Personal Statement during the application process. Scholarships will be awarded on a first come, first served basis to applicants who are normally eligible for SAAS funding.
    *The Data Lab enables new collaborations between industry, public sector and universities driven by common interests in the exploitation of data science. It is one of the eight innovation centres funded by the Scottish Funding Council through the Innovation Centres programme and provides resources and funding to kick-start projects, deliver skills and training, and help to develop the local ecosystem by building a cohesive data science community.