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Master of Science in Artificial Intelligence logo
University of Malta logo

Master of Science in Artificial Intelligence

University of Malta
Information last verified July 2026
Tuition €13,400 (Non-EU)
Degree Master's
Duration 2 years
Delivery On Campus / Part-time
Location Msida, Malta
Language English

Program Overview

The M.Sc. in Artificial Intelligence (AI) is a degree course in one specific branch of ICT that deals with simulating intelligence within real-world applications. This degree course has been purposely designed for working professionals, as well as, graduates who have just completed their undergraduate degree to form a strong and deep understanding of AI topics and eventually either converge into a possible proposed thematic area (Astronomy, Big Data, Computer Vision, Fintech, Geosciences, Robotics, or Statistics) or simply a generic advanced AI domain, before proceeding to a dissertation. This Masters is intended to appeal and address current and future industry demands and niches by allowing the possibility of internships with industry partners as part of applied projects and/or the final project. The M.Sc. in Artificial Intelligence (AI) is a degree course in one specific branch of ICT that deals with simulating intelligence within real-world applications. This degree course has been purposely designed for working professionals, as well as, graduates who have just completed their undergraduate degree to form a strong and deep understanding of AI topics and eventually either converge into a possible proposed thematic area (Astronomy, Big Data, Computer Vision, Fintech, Geosciences, Robotics, or Statistics) or simply a generic advanced AI domain, before proceeding to a dissertation. This Masters is intended to appeal and address current and future industry demands and niches by allowing the possibility of internships with industry partners as part of applied projects and/or the final project.

Career Opportunities

On successfully completing the M.Sc. in AI, you will be able to further pursue your studies towards a Ph.D. or apply your acquired knowledge of your line of work by fruitfully applying either big data analytics, computer vision, robotics or computational finance to your line of work. Alternatively, new possibilities to switch to a fresh career within these four areas is possible as current industry needs are indicating a need and a strong potential to employ professionals with strong understanding and expertise within the streams being offered.

Program Curriculum

Year 1 In addition to the compulsory study-units for the year (10 ECTS credits), students are required to register for 5 ECTS credits from elective study-units in Semester 1 and 15 ECTS credits in Semester 2. Alternatively, 5 ECTS credits from a year-long elective unit can be taken and deducted from one of the semesters. An elective study-unit will ONLY be offered if a sufficient number of students register for it. Consequently, the availability of respective study-units will only be confirmed after the registration period. Year (This/these unit/s start/s in Semester 1 and continue/s in Semester 2) Elective Units (Elective units are offered subject to availability, a minimum number of student registrations and time-table constraints) SOR2510 Statistical Methods for Information and Communication Technology 5 ECTS Semester 1 Compulsory Units (All students must register for this/these unit/s) ARI5902 Research Topics in Artificial Intelligence 5 ECTS ICS5110 Applied Machine Learning 5 ECTS Elective Units (Elective units are offered subject to availability, a minimum number of student registrations and time-table constraints) ARI3333 Generative AI 5 ECTS ARI5122 Financial Engineering 5 ECTS ICS5111 Mining Large-Scale Data 5 ECTS Semester 2 Elective Units (Elective units are offered subject to availability, a minimum number of student registrations and time-table constraints) ARI5102 Data Analysis Techniques 5 ECTS ARI5118 Deep Learning for Computer Vision 5 ECTS ARI5121 Applied Natural Language Processing 5 ECTS ARI5123 Intelligent Algorithmic Trading 5 ECTS ICS5115 Statistics for Data Scientists 5 ECTS ICT5101 Internet of Things 5 ECTS SCI5020 Principles of Statistical Inference 5 ECTS Year 2 Year (This/these unit/s start/s in Semester 1 and continue/s in Semester 2) Compulsory Units (All students must register for this/these unit/s) ICS5200 Dissertation 60 ECTS This programme of study is governed by the General Regulations for University Postgraduate Awards, 2021 and b

Admission Requirements

Applicants must be in possession of: Refer to the list of country-specific qualifications a Bachelor degree pegged at Level 6 on the Malta Qualifications Framework and obtained with at least Second Class (Honours) or Category II in ICT or an area with a strong ICT component, or in Engineering, or a Bachelor degree pegged at Level 6 on the Malta Qualifications Framework classified with Third Class Honours or Category III in the areas outlined in paragraph (a) above, provided that such applicants shall satisfy the Board of Studies that they are in possession of other qualifications, or relevant work experience, obtained following their first cycle degree. The Board of Studies may recommend to the Faculty Admissions Committee that the admission of such applicants may be made conditional on the results of an interview conducted for the purpose or any other Honours degree obtained with at least Second Class Honours, provided that applicants would have successfully completed at least three individual study-units as directed by the Board, prior to being admitted to the Course. Interviews, when necessary, shall be conducted by a board composed of at least three members. Eligible applicants may register as visiting students for individual study-units and obtain credit for them. Subject to approval by the Board, credits awarded for any such study-units may be transferred to the Course, provided that not more than seven years have elapsed from the successful completion of the study-unit. When credit for more than one study-unit is being transferred to the Course, then the seven years shall commence from the date of the last credit awarded. You are viewing the entry requirements for International applicants. Switch to Local qualifications. You can submit your application online . The deadlines for submission of applications vary according to the intake and courses. We encourage all international applicants to submit their applications as soon as possible. This is especially imp

Tuition & Financial Information

Tuition Fee

€13,400 (Non-EU)

About University of Malta

University of Malta logo

University of Malta

Msida, Malta

TheUniversity of Malta(Maltese:L-Università ta' Malta;UM; formerlyUOM) is apublic research universityin the towns ofMsidaandValletta, Malta. It serves as theflagshipandnational universityof...

University Profile
  • Start Date October
  • Language English
  • Duration 2 years
  • Credits 90