Internet of Things (IoT) MSc
Master
In Bradford
Description
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Type
Master
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Location
Bradford
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Duration
1 Year
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Start date
Different dates available
It is envisaged that by 2020 more than 50 billion devices, or things, around the globe will be connected to the Internet - making 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 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 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.
Facilities
Location
Start date
Start date
About this course
2:2 or above in computer science, computer engineering, informatics or other computer-related subjects from an approved degree-awarding body.
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Subjects
- Computing
- Internet
- Data analysis
- Driving
- International
- Systems
- Programming
- Cloud computing
- CYBER SECURITY
- Mobile Application Development
Course programme
The modules for this course can be found in the latest programme specification.
Postgraduate Certificate
- Internet of Things (20 credits) - core
To enhance students' understanding about the design and development of the Internet of Things (IoT) systems, including its' architecture, technologies on each layer, and IoT-specific data processing and analytics frameworks. Hands-on skills will be developed by studying applications of IoT in every corner of life, and implementing components of IoT applications. - Cyber Security (20 credits) - core
- Software Development (20 credits) - optional
The aim of this module is to introduce basic programming skills through a modern object-oriented programming language, design methods and tools. - Big Data Systems and Analytics (20 credits) - optional
To enable you to gain advanced knowledge and developed the skills on big data, concerning the architectures of big data systems, the management for big data projects, and computational approaches for big data analytics. - Mobile Application Development (20 credits) - optional
Students will be eligible to exit with the award of Postgraduate Certificate if they have successfully completed 60 credits and achieved the award learning outcomes.
Postgraduate Diploma
- Advanced IoT (Data Science for IoT) (20 credits) – core
- Cloud Computing (20 credits) - core
- Statistical Data Analysis (20 credits) - optional
To acquire knowledge of statistical data analysis, statistical learning methods and data analytics techniques for the hypotheses generation and hypotheses testing, in order for making appropriate statements/predictions. - Advanced Programming for Mobile Devices (20 credits) - optional
To enhance students programming skills for mobile devices running on different platforms and to address the privacy and security issues in coding. - Data Mining (20 credits) - optional
To develop a thorough understanding of the theory and practice of advanced data processing techniques. This will include description and critical evaluation of data analysis, data cleaning, data representation and data manipulation issues for mining, data processing, pattern or correlation exploration and data mining issues.
Students will be eligible to exit with the award of Postgraduate Diploma if they have successfully completed at least 120 credits and achieved the award learning outcomes.
Degree of Master – Level 7
- Dissertation (60 credits) - core
Students will be eligible for the award of Degree of Master if they have successfully completed 180 credits and achieved the award learning outcomes.
Internet of Things (IoT) MSc