Internet of Things MSc

This course is in clearing with spaces available

Overview

Course options

Select year

MSc

  • MSc Internet of Things, home applicant, full time

    • Home Applicant
    • Full time, 1 year
    • Pound 10800 Per year. Year 2 Industrial Placement Fee - £3,500
  • MSc Internet of Things, home applicant, part time

    • Home Applicant
    • Part time, 2 years
    • Pound 1800 Per 30 credit module
  • MSc Internet of Things, international applicant, full time

    • International Applicant
    • Full time, 1 year
    • Pound 15960 Per year. Year 2 Industrial Placement Fee - £3,500

MSc with Placement Year

  • MSc Internet of Things, home applicant, full time

    • Home Applicant
    • Full time, 1 year
    • Pound 10800 Per year. Year 2 Industrial Placement Fee - £3,500
  • MSc Internet of Things, home applicant, part time

    • Home Applicant
    • Part time, 2 years
    • Pound 1800 Per 30 credit module
  • MSc Internet of Things, international applicant, full time

    • International Applicant
    • Full time, 1 year
    • Pound 15960 Per year. Year 2 Industrial Placement Fee - £3,500

Accreditation

Course modules

NOTE: Modules are subject to change. For those studying part time courses the modules may vary.

Your future career

Your future career

This course will open up fantastic opportunities to develop your career and increase your earning potential, within medical, environmental monitoring and industrial domains or in academia. Explore the different career options you can pursue with this degree and see the median salaries of the sector on our Career Coach portal.

How we support your career ambitions

We offer dedicated careers support, further opportunities to thrive, such as volunteering and industry networking. our courses are created in collaboration with employers and industry to ensure they accurately reflect the real-life practices of your future career and provide you with the essential skills needed. You can focus on building interpersonal skills through group work and benefit from our investment in the latest cutting edge technologies and facilities.

Career Zone

Our dedicated and award-winning team provide you with careers and employability resources, including:

  • Online jobs board for internships, placements, graduate opportunities, flexible part-time work.
  • Mentoring programmes for insight with industry experts 
  • 1-2-1 career coaching services 
  • Careers workshops and employer events 
  • Learning pathways to gain new skills and industry insight

Mental Wealth programme

Our Professional Fitness and Mental Wealth programme which issues you with a Careers Passport to track the skills you’ve mastered. Some of these are externally validated by corporations like Amazon and Microsoft.

Our Mental Wealth programme

We are careers first

Our teaching methods and geographical location put us right up top

  • Enterprise and entrepreneurship support 
  • We are ranked 6th for graduate start-ups 
  • Networking and visits to leading organisations 
  • Support in starting a new business, freelancing and self-employment 
  • London on our doorstep

What you'll learn

  • Knowledge  
    • Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of emerging technologies in Internet of Things and the next generation of connected devices.
    • Knowledge and understanding of contemporary tools and technologies to produce solutions relevant to the domain of Internet of Things to meet a set of agreed requirements.
  • Thinking skills 
    • Demonstrate innovative independent thinking, critical investigation, and analytical skills in the real-world problems related to Internet of Things. 
  • Subject-based practical skills 
    • Design, analyse, synthesise and evaluate hardware and software components of Internet of Things used in the diverse fields of medical, environmental monitoring and industrial domains.
    • Implementation of appropriate wired and wireless networks for connected devices and systems.
    • Hands on-experience in sensor system design using state-of-the art embedded programming languages.
  • Skills for life and work (general skills) 
    • Structure and communicate ideas effectively, both orally and in writing.
    • Work professionally as an individual and as a team player to develop creative solutions to problems.

 

In addition, the industrial placement will provide opportunities to apply key technical knowledge and skills learn in the taught modules, enhance their communication and interpersonal skills and improve their employment potential. 

How you'll learn

You will develop a thorough critical understanding through our specialist technical laboratories and gain valuable hands-on experience in a wide range of emerging technologies in hardware and software components of Internet of Things.

Our dedicated and specialist staff will support you throughout the course and you will be assigned a personal tutor, a course tutor and module tutors to oversee your progress. During the completion of the dissertation on a cutting-edge IoT topic of your choice, you will obtain an excellent experience for a future career in IoT.

When not attending timetabled lectures you will be expected to continue learning independently through self-study.

Each semester you will spend around 600 hours of timetabled learning and teaching activities. These may be lectures, workshops, seminars and individual and group tutorials. Contact hours may vary depending on each module.  

The approximate percentages for this course are: 

  • scheduled teaching: 48 hours; workshops/practicals: 72 hours; guided independent study: 480 hours, per semester.           

Your individualised timetable is normally available to students within 72 hours of enrolment. Whilst we make every effort to ensure timetables are as student-friendly as possible, scheduled teaching can take place on any day of the week between 9am and 5pm. Timetables for part-time students will depend on the modules selected.  

How you will be assessed

The learning outcomes of the programme are assessed through laboratory session portfolios, group and individual coursework, research dissertation, presentations, reports and in-class time constraint assessments.  

Coursework can take a variety of forms, including laboratory work, data analysis and oral presentations. The Research Dissertation is assessed on a final written report, a poster presentation and a practical component.

You will receive detailed feedback on all assessment outlining strengths and areas of improvement. The approximate percentages for this course are more than 90% coursework, and less than 10% time constraint assessments. The module specifications specify the mode of assessment for each module.

Campus and facilities

Docklands Campus, London, E16 2RD