MSc Business Technology Management

Program Overview

The MSc Business Technology Management program, offered through Study Centres, equips graduates to manage organizational data and information needs. It emphasizes data science and cybersecurity, covering data management, analytics, and real-world cybersecurity issues. The program features a variety of teaching methods, including lectures, tutorials, and practical lab sessions, and culminates in a final project that addresses real-world problems. Graduates are prepared for careers in data and security, IT systems management, and other related fields.

Program Outline

MSc Business Technology Management via Study Centres

Degree Overview:

• Designed to meet the current IT needs of employers.
• Offers specialization in data science and cybersecurity.
• Emphasizes data management and real-world cybersecurity issues.
• Equips graduates to manage organizational data and information needs.

Outline:

• Program Duration: 1.5 - 2 years (full-time/part-time)
• Program Structure:
• Variety of teaching methods: lectures, tutorials, seminars, group discussions, group work, research, and practical lab sessions.
• Higher level of independent work compared to undergraduate programs.
• Assessment primarily through coursework.
• Final project involves working with academics or businesses on a real-world problem.
• Modules:
• Core Modules:
• Data Science Fundamentals (30 credits):
• Covers different data types, data fusion, data analytics, and big data platforms.
• Fundamentals of Cybersecurity (30 credits):
• Explores governance, management, and implementation of cybersecurity solutions.
• Covers tools and techniques for risk management and incident response.
• Technology Management in Organisations (30 credits):
• Addresses the management of cybersecurity and data science in organizational settings.
• Explores relevant policies, procedures, and resilient organizational solutions.
• Machine Learning and Data Analytics (30 credits):
• Covers machine learning, data mining, data analytics, and ethical considerations.
• Examines trends and developments in the field and their practical applications.
• Masters Project (60 credits):
• Real-world project with a research and practical element.
• Can be sponsored by external clients.
• Module Prerequisites: Some modules have prerequisites.
See the Help and Advice article for details.
• Course Schedule: Contact the Study Centre for details on specific schedules and locations.

Assessment:

• Primarily through coursework.
• Masters project includes both research and practical elements.
• Some modules may have additional assessment components like exams.
• Assessment criteria vary depending on the module and assessment type.

Teaching:

• Variety of teaching methods used: lectures, tutorials, seminars, group discussions, group work, research, and practical lab sessions.
• Higher level of independent work compared to undergraduate programs.
• Project-based learning with a focus on real-world problems.
• Access to academic experts in data science, data analytics, machine learning, statistics, and cybersecurity.
• Faculty qualifications and information can be found on the university website.

Careers:

• Data and security specialist in business
• Roles in IT systems management with a focus on big data and cybersecurity
• IT security manager
• Data manager
• Data scientist
• Data analyst

Other:

• This program is delivered at one of the university's Study Centres.
• Contact the Study Centre for information on facilities, location, and specific entry requirements.
• Career options are not limited to the listed examples.
• Graduates have a strong foundation for further academic research or professional development.
• Information on fees and finance can be obtained from the Study Centre directly.