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MSc Internet of Things with Data Analytics

  • Delivery:
    Full time according to Funding Council definitions, Sandwich (Thick) out of college., Part-Time

Gartner, Inc. forecasts that 20.4 billion connected things will be in use worldwide by 2020, with the global market projected to reach a value of more than £1 trillion. In time, these appliances will exchange information automatically, co-ordinating what they do without human intervention. The Internet of Things is a key enabling technology for broader paradigm shifts in areas such as smart cities, smart health, automotives, industry 4.0 and circular economies.

This programme shares its core modules with the MSc Internet of Things. The specialist (option) units will give you an understanding of data analytics methods, processes and selected applications applied in the area of IoT. You will also get a clear picture of explorative and confirmatory IoT data analysis technologies and/or practical experience using different data analysis tools in an IoT context. 

Market research group Gartner forecasts there will be more than 20bn devices connected by 2020. As the connections grow, devices will exchange information automatically, coordinating actions without human intervention. Connected things will become ubiquitous and will create a single system that transforms the world of everyday objects into a programmable environment.

IoT will change the way we think about life and work. Global industries such as manufacturing, transportation, logistics, defence, agriculture, infrastructure, retail, healthcare and food services, are already investing heavily in developing their own IoT infrastructures.

This course will produce professionals with the specialised knowledge to meet the skills gap in data management and analysis which will help their employers gain a competitive business advantage.

You will also acquire the knowledge and skills to manage real business activities through an IoT infrastructure and develop an awareness of the impact of IoT on society. 

Find out more about this course with Lecturer Dr Marios Angelopoulos on the BU webinar ‘MSc Internet of Things’.

Interested in studying this course part-time? Enquire now.

For 2019 entry: In order to take advantage of new approaches to learning and teaching, as well as developments in industry to benefit our students we regularly review all of our courses.

This course is currently going through this process and we will update this page in March 2019 to give you full information about what we will be offering once the review process has concluded.

Key information

Next start date:

January 2019, September 2019

Location:

Bournemouth University, Talbot Campus

Duration:

September start: 12 months without placement or 24 months with a 12 month placement, January start: 18 months without placement or 30 months with a 12 month placement. Part-time – 24 months

Relevant subjects:

Scientific or numerate subject

Entry requirements:

For 2019 entry: A Bachelors Honours degree with 2:2 in any subject, or equivalent. 

International entry requirements:

If English is not your first language you'll need IELTS 6.5 (Academic) or above. For more information check out our full entry requirements.

Course details

Entry requirements

Your application

Careers

Placements

The optional placement provides an excellent opportunity for you to gain first-hand industry experience and apply the learning that you have achieved through the course. The placement can be paid employment but voluntary work can be just as enjoyable.

Find out more about postgraduate placements

Costs and fees

You can find full information about the deposits required and how to pay your fees in our postgraduate fees and funding section, including details of the new Postgraduate Loans Scheme, offering up to £10,000 of support (subject to fee status).

All fees are quoted in pounds sterling and are per annum. Fees quoted are for tuition only unless stated otherwise. Your tuition fees will be the same for each year of your course.

Our staff

On this course you will be taught by staff with relevant expertise and knowledge appropriate to the content of the unit. This could include senior academic staff, qualified professional practitioners and research students, many of whom are actively engaged in research and/or professional practice which is integrated into the teaching of this course. Please note that teaching staff can change.

Course changes