Develop the skills you need for a career in this fast emerging field of data science.
This programme will deepen your understanding of advanced software development, systems for big data analytics, statistical data analysis, data mining, data privacy and security, data visualisation and exploration.
It is an interdisciplinary programme, designed for students with a first degree in subjects such as:
Our teaching is strongly linked to research within the Faculty of Engineering and Informatics, which includes aspects of applied computing, theoretical computer science, and communications and networks. Statistical analysis of data across various disciplines is a central theme of our research.
You can tailor your studies to particular areas of interest or career aspirations through our range of optional modules, and in the final dissertation (which is a significant piece of project work).
On graduation you’ll be ready and able to develop solutions to challenges in big data analytics and big data systems.
The programme is intended to equip graduates with the cutting-edge knowledge and skills to work in the industry as a Data Scientist, Big Data Architect, or Big Data Analyst.
Modules
Core
Option
You'll learn through a mixture of formal lectures, practical lab sessions, tutorials and seminars.
Some modules involve supervised group work, usually with an assigned academic staff member for each group.
Most modules are related to research in the school.
All modules require students to undertake independent study, supported through distance learning technologies such as our Virtual Learning Environment. Reading lists and suggested resources for independent study provide further direction for students to undertake this work, and regular contact hours and informal feedback throughout the courses provide opportunities for further guidance for learners.
Assessments for modules mostly take the form of practical coursework, lab tests and written exams, with all forms being well represented across all modules.
Our facilities are impressive, with several laboratories filled with dual-screen, dual boot (Windows and Linux) systems packed with industry-standard software.
Our specialised labs, such as the Ethical Hacking lab and the Internet of Things lab, allow students to build their skills within these key areas of growth, in a structured way through taught modules.
We provide a range of online facilities to support independent learning, including our Virtual Learning Environment which gives you access to learning materials and collaborative learning tools 24/7, anywhere in the world. We also provide virtual server technology using in house hardware to allow students to use our operating systems remotely.
Big data is a major area for future growth and investment. As the global big data industry continues to grow year after year we continue to grow our programme, and continue to produce future leaders in an exciting and rewarding field.
The University is committed to helping students develop and enhance employability and this is an integral part of many programmes. Specialist support is available throughout the course from Career and Employability Services including help to find part-time work while studying, placements, vacation work and graduate vacancies. Students are encouraged to access this support at an early stage and to use the extensive resources on the Careers website.
Discussing options with specialist advisers helps to clarify plans through exploring options and refining skills of job-hunting. In most of our programmes there is direct input by Career Development Advisers into the curriculum or through specially arranged workshops.
We have a commitment to strong pastoral care for all of our students, which includes a Personal Tutor for all students, regular contact hours for tutor groups and our supportive student service teams who are always ready to help with any questions and provide the advice that you need.
In addition to standard study support through taught sessions, our Virtual Learning Environment allows students to access resources, participate in group work and submit work from anywhere in the world 24/7.
University central services are rich with support teams to assist students with every aspect of their journey through our degree programmes. From our Career and Employability Service, through our strong Students' Union, to our professional and efficient Student Finance team, there are always friendly faces ready to support you and provide you with the answers that you need.
There is much research taking place at the Faculty of Engineering and Informatics related to this Master's programme. This includes aspects of applied computing, theoretical computer science, and communications and networks. Statistical analysis of data across various disciplines is a central theme of our research.
Teaching informed by research is at the core of this programme. Graduates leave us well prepared to pursue academic research, or industry based research and development positions.
The main goal of MSc Cyber Security is to prepare professionally trained graduates for industry. It has been designed to offer graduates the opportunity to develop a deeper understanding of cyber security as a discipline. The focus within this programme on the principles, technologies and practices of cyber security helps you to gain the appropriate skills for future PhD studies and research careers as well as to become competent practitioners. The programme comprises particular developments in security with a firm base in academic research and also offers the opportunity for you to study selected topics in advanced computer science.
Included in the programme is the opportunity to enhance industry relevant skills with study in ISO27001 Lead Implementer and Ethical Hacking. These skill areas were highlighted by past alumni and industry practitioners for inclusion in the programme. Therefore, you have the opportunity to gain additional qualifications in: Certified ISO/IEC 27001 Lead Implementer; and CEH v8 Ethical Hacking.
This programme meets a continued growing demand for specialists in this area by offering a way for individuals in current employment with relevant industry experience as well as recent graduates to study and enhance and develop their skills. The MSc Cyber Security programme will therefore draw graduates wishing to enhance their undergraduate studies in computing with advanced study of security to equip them for senior positions with responsibility for the IT technical and management based security of an organisation. In addition, the programme encourages those with relevant industry skills to specialise in cyber security or refine and develop their existing expertise.
This course is accredited by the British Computer Society.
It is also provisionally certified by GCHQ.
Our ISO 27001 Lead Auditor Training is Certified by the Professional Evaluation and Certification Board (PECB).
The MSc programme in Cyber Security is intended to respond to current academic challenges provided by increasing reliance on computers and networks for core business activity and to meet commercial needs for employees who are able.
Modules
Core
The programme includes innovative and active learning methods. Throughout your programme, we make use of case studies so that you can apply your theoretical understanding to real-world issues. In this way, abstract concepts are brought to life through practical activities. We also use methods associated with the “flipped classroom” where content is outside the classroom leaving more time and space for activities and active learning within tutorial and lecture sessions.
The course is designed to equip graduates for senior positions with responsibility for the IT-based security of an organisation.
The University is committed to helping students develop and enhance employability and this is an integral part of many programmes. Specialist support is available throughout the course from Career and Employability Services including help to find part-time work while studying, placements, vacation work and graduate vacancies. Students are encouraged to access this support at an early stage and to use the extensive resources on the Careers website.
Discussing options with specialist advisers helps to clarify plans through exploring options and refining skills of job-hunting. In most of our programmes there is direct input by Career Development Advisers into the curriculum or through specially arranged workshops.
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.
Modules
Core
Option
The programme utilises a range of learning methods to offer a personalised, research-led, and digitally rooted learning experience with a holistic, international focus.
At the centre of this strategy is the focus on problem-solving through the use of creative, analytical, logical and innovative thinking, and through networking and communicating effectively with peers.
The teaching delivery team includes internationally-renowned researchers and practitioners from all the relevant IoT areas, including sensors, communication, data engineering, data storage, big data analytics, cyber security and visualisation. We have secured multi-million-pound funding in IoT related projects, ensuring you’ll be exposed to cutting-edge knowledge and case studies. Our teaching is research-led, and you will have opportunity to learn from these real-world, cutting-edge live projects.
Formal lectures will facilitate your acquisition of knowledge and understanding, discipline specific skills, and apply this learning to industry practices. Laboratory sessions, using three state-of-the-art, purpose-built laboratories run in conjunction with the theoretical components, give you the opportunity to enhance your understanding of particular topics. These will also help to develop discipline-specific skills and personal transferable skills.
The unique teaching content and delivery on the course is extremely well supported with state-of-the-art, special purpose labs including IoT Innovation lab, Ethical Hacking lab and Computer Enterprise Centre.
In addition, the research and development carried out in these labs and the case studies from the publicly-funded high profile projects, ensures that the content is fresh and cutting-edge. This ensures you’ll be exposed to the very latest and future developments.
In addition to the standard technology-enhanced learning approaches, we embed technologies to deliver key concepts in an interactive environment that enhances your experience in developing IoT products. For example; extensive use of simulation for product design and use of cloud and big data testbeds to support hands-on learning.
Students have access to state-of-the-art, special purpose labs including IoT Innovation lab, Ethical Hacking lab, Cyber Security Interdisciplinary Centre and Computer Enterprise Centre.
We also provide a range of online facilities to support independent learning, including our Virtual Learning Environment which gives you access to learning materials and collaborative learning tools 24/7, anywhere in the world.
We also provide virtual server technology using in house hardware to allow students to use our operating systems remotely.
A lack of IoT skills and knowledge among employees and management is viewed by the businesses as the biggest obstacle to using the IoT more extensively (Economist Intelligence Unit).
This programme will give you the skills you need to launch a career in this exciting, fast-growing international sector.
The University is committed to helping students develop and enhance employability and this is an integral part of many programmes. Specialist support is available throughout the course from Career and Employability Services including help to find part-time work while studying, placements, vacation work and graduate vacancies.
Students are encouraged to access this support at an early stage and to use the extensive resources on the Careers website.
Discussing options with specialist advisers helps to clarify plans through exploring options and refining skills of job-hunting. In most of our programmes there is direct input by Career Development Advisers into the curriculum or through specially arranged workshops.
