Students must apply via one of the following online application forms:-
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Course starts: 14 September 2020Apply now
Our Msc Business Technology Management course is designed to meet the current IT needs of employers. Academic expertise in Data Science, Data Analytics, Machine Learning, Statistics and Cybersecurity are embedded throughout the modules.
You will develop skills and abilities in data management as well as learning to deal with real-world cybersecurity issues. On completing the course you will be equipped to deal with business' organisational data management requirements.
We use a wide variety of teaching and learning methods which include lectures, tutorials, seminars, group discussions, group work, research and practical laboratory sessions. Compared to an undergraduate course, you will find that this Masters requires a higher level of independent working.
Assessment is primarily by coursework. The project module in the final stage of the course gives you the opportunity to work with academics or businesses in solving real-world problems in the area of business technology management.
Learn how to use different types of data and understand how to fuse more than one dataset together. Apply a full range of traditional and intelligent analytics to a variety of datasets and make use of modern data science / big data platforms and languages.
Study a range of governance and management topics which will enable you to determine, establish and maintain appropriate governance, delivery and creation of cybersecurity solutions for information security, systems security and network security. Learn how to select the appropriate tools and techniques to address and manage concepts of risk, threats, vulnerabilities and potential attacks.
Discuss the management, organisation and use of cybersecurity and data science principles, policies and procedures in organisational settings. Contextualise technology management ecosystems related to cybersecurity and data science depending on your field of interest. Learn to apply the principles, policies and procedures of cybersecurity and data science to provide resilient and robust organisational solutions for secure and valuable information. Develop techniques and use tools that will enable you to undertake critical analysis of the challenges and opportunities of using cybersecurity to mitigate and manage risk to data and enable business continuity in the case of data breaches.
Study machine learning, data mining, and data analytics including relevant professional, ethical, social and legal aspects. Explore topics including information and knowledge management, problems with data, approaches to selection of data analytics tools, principles of modelling and simulation, and operations research. Examine the trends, tools, and current developments in the area of machine learning, data mining and data analytics and their practical applications.
Undertake a real-world project through the support of a sponsor which includes both a research and practical element.
Some modules have prerequisites. Read more about what this means in our Help and Advice article.
We usually require you to have either:
If English is not your first language, please see our English language requirements.
The annual, full-time fee for this course is:
If you are not sure whether you qualify as a UK, EU or international student, find out more in our Help and Advice article.
Take a look at the Your Finances section to find out about the scholarships and bursaries that may be available to you.
Use our scholarships calculator to see what you may be entitled to.
This information was correct at the time of publication.
This course features relevant work experience that will enhance your skills, build up a valuable network of contacts and boost your employability. As part of the course, you will undertake a project solving a real-world problem. These projects are often sponsored by external clients and we encourage and support you to find your own client and sponsor.
On completing this course you will be introduced to a wide variety of fundamental topics in Business Technology Management, focusing on the key aspects of Data Science and Cybersecurity. You will have critical knowledge and understanding of the subject to become a business data and security specialist.
Other potential employment roles include:
Our academics are involved in a number of external cybersecurity and data science activities and organisations including work which:
Experience from participation and collaboration with these projects is integrated into the course providing real-life examples and case studies.
The School of Computer Science works closely with the University’s central Careers and Employability Service to ensure that you have access to career opportunities, specialist talks and support and guidance for career development. For full-time students there is a commitment to supporting students in their progression from education to work.
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