- Mobile & Pervasive Technology: In this unit you will examine, from a systems perspective, the architectural factors in producing mobile and pervasive solutions, and explore technology areas such as application design.
Wireless, Sensor and Actuator Networks: You will explore the operating principles, standards, design and configuration of WSANs. Future and emerging paradigms – such as Mobile Crowdsensing Systems, and technologies such as Wireless Power Transfer in ad-hoc networks will also be addressed.
Security and Privacy in IoT: Smart objects, IoT applications, and their enabling platforms are often vulnerable to security attacks and changing operating and context conditions that can compromise the security of some of their components (e.g., local sensors, network components, application-level components). They also generate, make use of and inter-relate massive personal data in ways that can potentially breach legal and privacy requirements. This unit will develop your capability to understand and produce security architectures of IoT-related networks and systems.
- Research Methods & Professional Issues: Research requires a structured and disciplined approach at all stages. We will help you to develop key research skills in many areas from project proposals and planning to critical analysis of research findings, academic writing, and dissemination. Ensuring you give due consideration to professional standards and ethical issues in research.
Research Project: The Research Project provides you with an opportunity to undertake a significant piece of self-managed research in a relevant area of particular interest. Your project will give you the opportunity to engage with a complex, real-world problem.
- Analytics for Data Streams: In real world data-intensive applications, the data is arriving in a continuous stream and usually cannot be accumulated before processing. This online setting requires special techniques to analyse incoming data on the fly. Sensor networks, manufacturing industry or surveillance are just a few examples of streaming data sources. You'll learn how to efficiently process streaming data using state-of-the-art stream exploration, analysis and mining techniques.
Big Data & Cloud Computing: Big data can be encountered in numerous domains and applications. Analysing large amounts of data requires special methods to cope with its volume, variety and velocity. We'll help you become familiar with methods and technologies associated with big data analytics. Cloud computing provides a secure infrastructure for systems integration, data processing and manipulation as well as storage. The cloud structure, the concept of virtualisation, services and deployment models for data storage and manipulation will be discussed.
Business Intelligence: Vast amounts of data about a company’s customers and operations is routinely collected and stored in large corporate data warehouses. This data can be of immense value if properly analysed. You'll explore a suite of techniques and tools for data preparation and analysis, and presentation of the results to non-technical and managerial staff, in alignment with business strategies.
Optional Industrial Placement: If you choose to take this opportunity, you will gain experience of working within an appropriate professional environment in line with the BU employability strategy.
Programme specifications provide definitive records of the University's taught degrees in line with Quality Assurance Agency requirements. Every taught course leading to a BU Award has a programme specification which describes its aims, structure, content and learning outcomes, plus the teaching, learning and assessment methods used.
Download the programme specification for MSc Internet of Things with Data Analytics
Whilst every effort is made to ensure the accuracy of the programme specification, the information is liable to change to take advantage of exciting new approaches to teaching and learning as well as developments in industry. If you have been unable to locate the programme specification for the course you are interested in, it will be available as soon as the latest version is ready. Alternatively please contact us for assistance.
Full entry requirements
The normal requirements for embarking upon this course are:
- A Bachelors Honours degree with 2:2 in any subject, or equivalent
- Mature experience in the computing area. You may be required to evidence your work experience in the form of an interview or online test.
If you are in doubt if you lack the formal academic qualifications needed to enter a postgraduate or post-experience degree, please get in touch with the Future Students Enqiry team.
International entry requirements
If English is not your first language, you will need to provide evidence that you can understand English to a satisfactory level. English language requirements for this course are normally:
- IELTS (Academic) 6.5 with a minimum of 6.0 in each component of writing, speaking, listening and reading, or equivalent.
View further information about our English language requirements.
A number of pre-sessional English and preparatory programmes are offered through our partner institution, Bournemouth University International College, and will get you ready for study at BU at the appropriate level.
You can also find further details of the international qualifications we accept, and what level of study they apply to, on our international entry requirements page.
There is an increasing wide range of opportunities within the fast-growing Internet of Things (IoT) line of business which are dynamically evolving and have recently included:
- Product Manager, Consumer IoT
- IoT Global Partner Manager
- New Technologies & Innovation Manager
- Business Transformation Manager
- Head of Connected Cities
- IoT Proposition Manager
If you want to continue your studies after achieving your Master's, you can look into our range of doctoral programmes.
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.
Employment prospects are now truly international and BU encourages students to consider an international work placement or volunteering experience during their degree. One way could be through the EU funded Erasmus mobility programme which supports placements or study exchanges in Europe. Students can also participate in international placements outside of Europe. There are opportunities to engage with summer schools and volunteering projects. These experiences help students to enhance their global employability skills.
Meet our staff
Professor Vasilis Katos
The Head of the Department of Computing & Informatics, Vasilis is a certified Computer Hacking Forensic Investigator (CHFI) and has experience as an Information Security Consultant. He has served as an expert witness in Information Security for a criminal court in the UK.
Dr Philip Davies is the framework leader for postgraduate programmes.
Dr Marcin Budka is Principal Academic in Data Science. His research interests lie machine learning, data mining, predictive modelling and computational intelligence, with a particular focus on practical applications. Marcin also has an interest in the area of complex, evolving networked systems, and practical applications for advanced predictive models.
Read more about the expertise of other members of the Department of Computing & Informatics, and register now to come along and meet some of them.
The table below indicates the latest changes to this course.
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||Where the change was made
After an annual review of the placement year tuition fee, a price increase in line with current inflation, equating to 3% has been introduced.