The Part-Time Master of Science in Information Technology and Systems provides fundamental skills in a variety of advanced ICT areas such as cloud computing, big data and the Internet of Things (IoT), with a focus on developing intelligent solutions through a blend of hardware and software.

The programme focuses on software as a service infrastructure, information management, enterprise systems and eLogistics. A focus is also placed on systems strategy and management, business process innovation and cyber security. Key to the programme is network security and data management technologies, as well as software defined networking, and the new field of distributed hashing and computing, typified by distributed version control systems and blockchain based crypto-currency applications.

The programme is delivered in blended mode (both online and face-to-face) over 5 semesters (2 ½ years) and comprises of 7 modules taught in a total of around 30 weekend campus sessions (a weekend session consists of a Friday evening lecture from 17:30 to 20:30 and a Saturday morning lecture from 9:00 to 13:00) and 3 modules taught online using the MCAST Moodle Platform.

Learning Outcomes

  • Understand two complementary problem domains information technology and business management domains;
  • Use the acquired technical and business problem analysis skill set to most effectively propose information system designs matched to the business needs;
  • Select adequate technical means to design a solution that not only solves a specified technical and business problem but is also extendable into the future in response to any additional needs of a growing business organization;
  • Design an information system that optimally matches specified purpose and business system roles while minimizing design effort and implementation costs;
  • Build systems features that make the overall system use, administration and maintenance team-friendly; perform adequate reengineering of an existing information technology powered business system;
  • Design complementary subsystems to enhance business efficiency; use predictive analytics methods and big data processing to define the market for a new product or service.

Programme of Studies

First Year (Semesters 1 & 2: 30 ECTS)

  • Information Systems and Management
  • Operating Systems and Cloud Computing
  • Network Protocols and Network Automation
  • Data Science and Predictive Analysis
  • Foundations of Cyber Security

Second Year (Semesters 3 & 4: 30 ECTS)

  • Web Technologies and Secure E-Commerce
  • Mobile Computing and 5G Networking
  • Internet of Things (IoT)
  • Financial Computing and Cryptocurrencies
  • Entrepreneurship and Innovation Management

Third Year (Semesters 5: 30 ECTS)

  • Dissertation

Eligibility Criteria

First degree in engineering; ICT; Technology