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'll develop skills and abilities in data management as well as learning to deal with real-world cybersecurity issues. On completing the course, you'll 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'll 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 don’t currently display entry requirements for United States. Please contact the Student Admin team on email@example.com or 0191 515 3154.
Please contact the study centre for more information on their specific requirements and equivalent qualifications from outside the UK.
Please contact the study centre directly for information on fees and finance.
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'll 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'll be introduced to a wide variety of fundamental topics in Business Technology Management, focusing on the key aspects of Data Science and Cybersecurity. You'll have critical knowledge and understanding of the subject to become a business data and security specialist. Other potential employment roles include: