Master of Science in Artificial Intelligence Technologies and Applications (Deposit)

• 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]

Programme Description

The implementation of Artificial Intelligence (AI) within industry influences all industries including manufacturing, public sector, education and many more. The MCAST Master of Science in Artificial Intelligence Technologies and Applications programme focuses on the key knowledge required for solving business challenges and yielding competitive advantage through the application of Artificial Intelligence technologies.

It provides the theoretical and practical knowledge to work across industries and implement AI where needed. Graduates will be well versed in the Fundamentals of AI, Machine Learning, Neural Networks, Social Implications, Ethics, Regulation and Business Analysis proficiencies. The MCAST Master of Science in Artificial Intelligence Technologies and Applications is taught by industry experts and leading academics who are actively engaged in successful careers in their respective fields.

Programme Learning Outcomes

At the end of the programme the students are able to:

• Appraise the technologies that constitute AI
• Identify and implement appropriate AI technology to address specific industry challenges
• Evaluate proposals involving AI technologies
• Ensure increased operational efficiency, lower costs, improved customer experience and enhance competitive advantage

Programme Structure

Year 1 ‚  – 6 ECTS each Unit

• ETAIN-706-2101 Principles of AI
• ETAIN-706-2102 Machine Learning
• ETAIN-706-2103 Neural networks and classifiers
• ETAIN-706-2104 Robotics and Computer Vision
• ETAIN-706-2105 Deep Learning and Predictive Analytics

Year 2 – Electives 6 ECTS each Unit (choose any 3 study units)

• ETAIN-706-2108 Leveraging AI for Manufacturing
• ETAIN-706-2109 Enhancing the Creative Industries with AI
• ETAIN-706-2110 AI in Research and the Applied Sciences
• ETAIN-706-2111 Intelligent Community Services
• BCRTL-706-2105 Smart Information Systems

Year 2 – Core units 6 ECTS each Unit

• BCRTL-706-2102 AI driven Business Analytics
• ETAIN-706-2106 The ethical, regulatory, legal and social aspects of AI

Year 3 -ETAIN-730-2107 Research Project/Dissertation 30 ECTS

Total 90 ECTS

Entry Requirements

To gain admission, the applicant will be expected to have a first degree (MQF Level 6) in the sciences or in the technological or social sciences domains

OR A Level 5 qualification with at least three years’ work experience (evidenced) in a relevant area

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.