In the future, all our objects will act as one. The Internet of Things (IoT) is the connection of intelligent devices that captures data about how we live and what we do. All our domestic appliances and basic networked devices are now being connected up to the Internet and are capable of sensing and transmitting data. 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 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; a clear picture of explorative and confirmatory IoT data analysis technologies and/or practical experience using different data analysis tools in an IoT context.
A Bachelors Honours degree, 2:2 or above.
If English is not your first language you´ll need IELTS 6.5 (Academic) or above.
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. The course will develop your abilities and give you the confidence to lead change in any organisation.
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.
Product Manager, Consumer IoT
IoT Global Partner Manager
New Technologies & Innovation Manager
Business Transformation Manager
Head of Connected Cities
IoT Proposition Manager
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