MSc Applied Business Technology Management is designed to develop knowledge and the ability to manage technologies in business. Business Technology Management applies modern technologies to the creation, management and use of information, encompassing all forms of technology used to create, store, exchange and utilise information in its various forms.
The course focuses on two key aspects: data science and cybersecurity, and you'll investigate both in the context of how they are used to support technology management in organisations. Stimulate your interest in the numerous applications of Business Technology Management, including social media, business intelligence, machine learning, data mining, Big Data, the contextualised use of Data Science, operational security management, information security and much more.
In addition to the taught modules, you'll have the opportunity to undertake a placement (subject to availability) and put your skills into practice, enhancing your employability. You can find your own placements or develop professional practice projects, working in our Digital Incubator or research-based projects with one of our academic research teams.
This highly practical course means you’ll have the opportunity to experience the latest technologies and tools used in industry, giving you the confidence to be productive and effective when you go out into the workplace.
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Modules on this course include:
- Data Science Fundamentals (30 credits)
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.
- Fundamentals of Cybersecurity (30 credits)
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.
- Technology Management in Organisations (30 credits)
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.
- Machine Learning and Data Analytics (30 credits)
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.