It is envisaged that by 2020 more than 50 billion devices, or things, around the globe will be connected to the Internet - making the Internet of Things (IoT) a mainstream technology.
Smart Cities, Industrial Internet of Things (IIoT), Self-Driving cars, Smart Grids, Smart Homes and Buildings, Smart Infrastructure, Smart Agriculture, Smart Health, Smart Mobility are some of the application areas driving the phenomenal growth of IoT.
Businesses are already exploring how to adopt IoT for their operations, but they lack IoT skills and knowledge among employees and management.
This unique full-time Master's programme is designed by experts in the field with a wealth of research and development experience in IoT to address this shortage of professionally qualified specialists.
This MSc offers a unique advantage to its graduates in an increasingly competitive job market with highly-sought expertise.
The teaching on the course is research-led, and you will have the opportunity to learn from the real-world, cutting-edge live projects.
You’ll have the opportunity to carry out a dissertation project with real-world clients, in our new Internet of Things Innovation Lab and our Computing Enterprise Centre.
- 2:2 or above in computer science, computer engineering, informatics or other computer-related subjects (including management disciplines such as finance, economics, business studies etc.) from an approved degree-awarding body.
- Candidates who do not fulfil the normal entry requirements but have extensive industrial experience in a related area are considered on an individual basis.
English language requirements:
- Minimum IELTS 6.0 or equivalent.
- If you do not meet the IELTS requirement, you can take a University of Bradford pre-sessional English course.
What you will study
Please note that for 2019 entry, the module information is subject to change.
- Internet of Things (IoT) (COS7039-B)
- Cyber Security (COS6008-B)
- Advanced IoT (Data Science for IoT) (COS7043-B)
- Cloud Computing (COS7044-B)
- Dissertation (COS7004-E)
- Software Development (COS7009-B)
- Big Data Systems and Analytics (COS7006-B)
- Mobile Application Development (COS7025-B)
- Data Mining (COS7028-B)
- Statistical Data Analysis (COS7005-B)
- Advanced Programming for Mobile Devices (COS7033-B)
Learning and assessment
The programme utilises a range of learning methods to offer a personalised, research-led, and digitally rooted learning experience with a holistic, international focus.
At the centre of this strategy is the focus on problem-solving through the use of creative, analytical, logical and innovative thinking, and through networking and communicating effectively with peers.
The teaching delivery team includes internationally-renowned researchers and practitioners from all the relevant IoT areas, including sensors, communication, data engineering, data storage, big data analytics, cyber security and visualisation. We have secured multi-million-pound funding in IoT related projects, ensuring you’ll be exposed to cutting-edge knowledge and case studies. Our teaching is research-led, and you will have the opportunity to learn from these real-world, cutting-edge live projects.
Formal lectures will facilitate your acquisition of knowledge and understanding, discipline-specific skills, and apply this learning to industry practices. Laboratory sessions, using three state-of-the-art, purpose-built laboratories run in conjunction with the theoretical components, give you the opportunity to enhance your understanding of particular topics. These will also help to develop discipline-specific skills and personal transferable skills.
The unique teaching content and delivery on the course is extremely well supported with state-of-the-art, special purpose labs including IoT Innovation lab, Ethical Hacking lab and Computer Enterprise Centre.
In addition, the research and development carried out in these labs and the case studies from the publicly-funded high profile projects ensure that the content is fresh and cutting-edge. This ensures you’ll be exposed to the very latest and future developments.
In addition to the standard technology-enhanced learning approaches, we embed technologies to deliver key concepts in an interactive environment that enhances your experience in developing IoT products. For example; extensive use of simulation for product design and the use of cloud and big data testbeds to support hands-on learning.
Students have access to state-of-the-art, special purpose labs including IoT Innovation lab, Ethical Hacking lab, Cyber Security Interdisciplinary Centre and Computer Enterprise Centre.
We also provide a range of online facilities to support independent learning, including our Virtual Learning Environment which gives you access to learning materials and collaborative learning tools 24/7, anywhere in the world.
We also provide virtual server technology using in house hardware to allow students to use our operating systems remotely.
Fees, finance and scholarships
Tuition fee 2019
- Home/EU: £8,160 per year
- International: £18,940 per year
Every year we award numerous non-repayable scholarships to UK, EU and international students on the basis of academic excellence, personal circumstances or economic hardship.
The University is committed to helping students develop and enhance employability and this is an integral part of many programmes. Specialist support is available throughout the course from Career and Employability Services including help to find part-time work while studying, placements, vacation work and graduate vacancies.
Students are encouraged to access this support at an early stage and to use the extensive resources on the Careers website.
Discussing options with specialist advisers helps to clarify plans by exploring options and refining skills of job-hunting. In most of our programmes, there is direct input by Career Development Advisers into the curriculum or through specially arranged workshops.
A lack of IoT skills and knowledge among employees and management is viewed by the businesses as the biggest obstacle to using the IoT more extensively (Economist Intelligence Unit).
This programme will give you the skills you need to launch a career in this exciting, fast-growing international sector.
We have a commitment to strong pastoral care for all of our students, which includes a Personal Tutor for all students, regular contact hours for tutor groups and our supportive student service teams who are always ready to help with any questions and provide the advice that you need.
In addition to standard study support through taught sessions, our Virtual Learning Environment allows students to access resources, participate in group work and submit work from anywhere in the world 24/7.
University central services are rich with support teams to assist students in every aspect of their journey through our degree programmes.
From our Career and Employability Service, through our strong Students' Union, to our professional and efficient Student Finance team, there are always friendly faces ready to support you and provide you with the answers that you need.
Our IoT research is funded by European (European Union, European Space Agency), International (Newton, NASA) and UK research councils (Innovate UK) in the following topics:
- Smart cities (European Union)
- 5G (European Union)
- Big data (Innovate UK, EU)
- Visualisation (NASA, European Space Agency, NHS, Innovate UK) Digital Healthcare (Newton Fund) Cyber Security (Innovate UK, West Yorkshire Police)
The researchers working on these projects are aligned with special purpose labs including IoT Innovation lab, Ethical Hacking lab, Cyber Security Interdisciplinary Centre, and Computer Enterprise Centre.
In addition, the researchers teaching this course work closely with two national catapult centres located in Bradford: Digital Catapult Centre, and DHEZ giving you access to the events and projects organised by these centres.
We also integrate knowledge and experience from Industrial partners through both our Industry Advisory Board and these research projects through challenging case studies, lab-based activities and invited talks, ensuring that research findings are at the heart of our curriculum. This new programme will also involve invited external speakers from various industry sectors.
Program taught in: