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.
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.
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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.
Not if you are a National of one of the following countries:Austria, Belgium, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Norway, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, Switzerland, United Kingdom
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After submitting your application to the University, and being accepted, Ucademics will guide you through all the steps needed for you to apply to the student finance program.
UK and European Union students are eligible for a Tuition Fee Loan given by a British Government Organization called Student Finance England, which is paid directly to your university, independent of your grades or your family’s income.
Tuition Fees are paid per year. The value above represents the tuition fee for the 2018/2019 academic year.
The tuition fees might be subject to minor increases each year due to inflation.
15 January 2019
Applications for the majority of undergraduate courses should arrive at UCAS by 18:00 (UK time) on this day (check course details in our search tool for the correct deadline). The reference needs to be completed before the application can be sent to us.
30 June 2019
If an application is sent to us by 18:00 (UK time) on this day, we’ll send it to the chosen universities or colleges. Applications received after this date will automatically be entered into Clearing.
31 August 2019
The deadline for any remaining conditions to be met – otherwise the university or college might not accept the applicant. Adjustment ends on this date.
20 September 2019
The final deadline for applications to 2019 courses. Applications must arrive at UCAS by 18:00 (UK time).
22 October 2019
The deadline for adding Clearing choices, and for universities or colleges to accept applicants in Clearing.