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.

Register your interest

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

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

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.

Fees and finance

The annual, full-time fee for this course is:

£6,750 if you are from the UK / EU
£13,500 if you are an international student

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.

Scholarships calculator

You are viewing entry requirements for visitors from United States. Not from United States? Change your country preferences.

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: 13 May 2020

Sign up to receive emails about your subject area.

Keep me up to date relating to my interest in the University of Sunderland via:

Email

You may unsubscribe at any time.

Using Your Personal Information
The University of Sunderland is collecting this data in order for you to receive information on your chosen subject(s). Your information will be stored securely in our Customer Relationship Management system which is provided by a 3rd party and used only for the administration and provision of this information. Should you choose to opt in to further communications we will also use your information to facilitate other useful marketing information based on your preferences. Further information on how your data is stored and used can be found in our Privacy notice - marketing.