Business Technology Management MSc

Explore the topical areas of Cybersecurity and Data Science. Undertake a project to solve a real-world business technology problem. Become a data and security specialist in business.

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Learning, teaching and assessment in 2021/22

Overview

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.

Why us?

95.3% of our graduates are in employment or further study within six months of graduating, according to DLHE 2016/17 (based on UK postgraduate students)
‘Internationally excellent' research in Computer Science and Informatics, according to the latest Research Excellence Framework (REF)
The course is heavily influenced by the research interests of the academics

We give you exposure to the latest technologies used in industry, including Oracle, CISCO and more
You will have the opportunity to engage with research projects with public and private business and industry
Sunderland was named Smart City of the Year 2020 (Digital Leaders UK). Boasting the second-fastest growth in digital turnover outside of London, Sunderland is the ideal city to study computer science and set up a business.

Course structure

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.

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.

Masters Project (60 credits)

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.

Facilities

The David Goldman Informatics Centre features an open plan area made up of terraces which contain nearly 250 workstations comprising PCs and MACs. The computers are installed with all the necessary software packages and are usually available on an open access basis, every weekday, from 7am til 9pm.

A range of free software is also available through volume licensing with partners such as Adobe, Symantec, Microsoft and Cisco.

Entry requirements

Our typical offer is:

Qualification	Minimum grade
a Canadian bachelor's degree	GPA 2.40
a USA bachelor's degree	GPA 2.5

If your qualification is not listed above, please contact the Student Administration team at studentadmin@sunderland.ac.uk for further advice.

We usually require you to have either:

A lower second-class honours degree or above in a computing or related subject (mathematics, statistics, engineering)
A business management background with sufficient computing experience
Five years’ relevant business or industry experience

If English is not your first language, please see our English language requirements.

Is your qualification not displaying here? For international qualifications, search our full list of international entry requirements for this course.

Fees and finance

The fee for this course is:

£7,000 if you are from the UK/Ireland/EU settled/pre-settled
£14,000 if you are an international student

Learn more about settled status, pre-settled status, special discounts, visa requirements and Common Travel Area (CTA) agreements for the Republic of Ireland applicants 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.

This information was correct at the time of publication.

Career ready

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.

Career options

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:

IT systems management roles with a focus on Big Data and/or Cybersecurity
IT security manager
Data manager
Data scientist
Data analyst

Research-active staff

Our academics are involved in a number of external cybersecurity and data science activities and organisations including work which:

Applies NHS Trust data analytics in the use of social media to gather and analyse Big Data
Uses Big Data to enable preventative policing with regional police forces
Visualises Big Data in collaboration with Sunderland City Council and the ethical standards of Big Data usage: DYNAMO North East, CyberNorth, North East Fraud Forum, (ISC)², and national standards development.

Experience from participation and collaboration with these projects is integrated into the course providing real-life examples and case studies.

Careers and Employability Service

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.

Meet the team

Related courses

Contact

Contact the Student Helpline for further information about studying at the University of Sunderland:

0191 515 3000

student.helpline@sunderland.ac.uk

View Programme Specifications for the Faculty of Technology.

Page last updated: 25 February 2021

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