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Master of Science in Computing and Emerging Technologies (Deposit)

Courses > Master > Master of Science in Computing and Emerging Technologies (Deposit)

500.00

Location:
Code
IT7-O14-24p
MQF Level
7
Credits
90
Duration
2.5 years
Schedule
October/November
Time
TBC
Mode of Delivery
Blended

Description

  • Official application intake – 1st May 2026 till 31st July 2026
  • Commencement of Programme – October/November 2026
  • Interested applicants are requested to submit the deposit and to send an email to [email protected]
  • For Fees & Payment Terms, please refer to the details provided at the end of this programme’s information
  • Programme Coordinator – Ing. David Debono‚  [email protected]

 

Course Description

The Master of Science in Computing & Emerging Technologies imparts essential skills in various advanced ICT domains including Information Systems, Cloud Computing, Data Science, Business Intelligence and other emerging technologies such as Artificial Intelligence. The postgraduate degree aims to equip students with the required expertise in contemporary technologies whilst training them to use this knowledge to solve business challenges, yield competitive advantage and develop new ideas in these areas. A key component of the programme involves the research element, exposing the students to the theoretical and practical aspects of utilising these technologies for research purposes. It also equips them with the skills required to pursue an independent research endeavor at the end of the programme. The MCAST Master of Science in Computing & Emerging Technologies offers professionals from diverse industries the opportunity to transition into the ICT sector or leverage these technologies to enhance their existing careers. This postgraduate degree is equally suitable for ICT professionals seeking to augment their proficiency in these emerging technologies.

Overall Learning Outcomes

  1. Gain expertise in advanced ICT domains including Information Systems, Cloud Computing, Data Science and Artificial Intelligence.
  2. Develop skills to solve business challenges, gain competitive advantage, and create new ideas using cutting-edge technologies.
  3. Ability to innovate and develop software and web technologies, applying machine learning and other advanced techniques in practical scenarios.
  4. Acquire the ability to undertake independent research and contribute novel insights in computing and emerging technologies.

 

Programme Structure

Year 1 Semester 1: ITCET-706-2401 Information Technology and Systems (5weeks‚  30hours)

Year 1 Semester 1: ITCET-706-2402 Business Intelligence and Reporting (5weeks‚  30hours)

Year 1 Semester 1: ITCET-706-2403 Software Development (5weeks 30hours)

Year 1 Semester 2: ITCET-706-2405 Programming for Data Science‚  (5weeks 30hours)

Year 2 Semester 1: ITCET-706-2406 Research Design‚  (5weeks 30hours)

Year 2 Semester 1: ITCET-706-2407 Applied ML and Testing‚  (5weeks‚  30hours)

Year 2 Semester 1: ITCET-706-2408 Web Technologies‚  (5weeks‚  30hours)

Year 2 Semester 2: ITCET-706-2409 Emerging Technologies‚  (5weeks 30hours)

Year 2 Semester 2: ITCET-706-2410 Cloud Computing‚  (5weeks 30hours)

Year 3 Full Semester – Dissertation

 

Entry Requirements

Applicants must hold a recognised MQF Level 5 (120 ECTS) qualification (or equivalent) in the fields of science, technology, or social sciences. Additionally, a minimum of three (3) years of relevant professional experience is mandatory. Candidates whose qualifications are in the disciplines not directly related to computing, experience in the computing field (such as programming knowledge) must be demonstrated to meet the entry criteria.

OR

– Applicants must hold a recognised MQF/EQF Level 5 qualification, or its equivalent, in the fields of science, technology, or social sciences. Additionally, a minimum of three (3) years of relevant professional experience is mandatory. Candidates whose qualifications are in disciplines not directly related to computing, experience in the computing field (such as programming knowledge) must be demonstrated to meet the entry criteria.

 

Payment terms:

EU or EEA Nationals (total course fee 5,500 euro)

  • Payment 1: Deposit of 500 euro
  • Payment 2: 2,500 euro payment before course commencement
  • Payment 3: 2,500euro payment at the beginning of second year

Non-EU/EEA Nationals (total course fee 7,900 euro)

  • Payment 1: Deposit of 500 euro
  • Payment 2: 3,700 euro payment before course commencement
  • Payment 3: 3,700 euro payment at the beginning of second year

Refund Policy

Refund can only be issued in full to applicants whose course has not commenced according to schedule. For any other reasons, the refund provided shall have an administration fee deducted, which amounts to two-hundred-fifty (250) euro.

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