Master of Science in Artificial Intelligence [Taught and Research (Mainly by Research)]

Master of Science in Artificial Intelligence [Taught and Research (Mainly by Research)]

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Course information

Course title Master of Science in Artificial Intelligence [Taught and Research (Mainly by Research)]
Course code PMSCIARIFTR8
Postnominal M.Sc.(Melit.)
Level of qualification Second Cycle
National Qualifications Framework level Level 7
Duration 3 Semesters
Mode of attendance Full-time (by Research)
Total ECTS credits 90
Coordinator Matthew Montebello
Delivered by Faculty of Information and Communication Technology
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 to form a strong and deep understanding of AI topics and eventually converge into a possible proposed thematic area before proceeding to a research-based dissertation. In fact, a big chunk of the MSc is the practicum module which helps students learn through a supervised project experience whilst consolidating their knowledge and skills by conducting a work placement. Students are expected to spend a substantial amount of time at an approved ICT company or research institute where they will be given assessable tasks that will provide them with the opportunity to apply computing theory and skills from prior learning. This will also furnish the students with first-hand experience of how these skills and theories can support software design and development within the practices and constraints of a real-world ICT work environment. Because of this, the Masters in AI is designed to address directly both current and future industry trends.

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The Course shall be open to applicants in possession of one of the following qualifications:

(a) the degree of Bachelor of Science in Information Technology (Honours) - B.Sc. I.T. (Hons) - with at least Second Class Honours or

(b) the degree of Bachelor of Science (Honours) in Information and Communication Technology - B.Sc. (Hons) I.C.T. - with at least Second Class Honours or

(c) the degree of Bachelor of Science (Honours) in Computing Science or in Computer Engineering - B.Sc. (Hons) - with at least Second Class Honours or

(d) the degree of Bachelor of Engineering (Honours) - B.Eng.(Hons) - with at least Second Class Honours in a suitable area of study or

(e) any other Honours degree with a strong ICT component which the Board deems comparable to the qualifications indicated in (a), (b), (c) or (d) or

(f) a Third Class Honours degree in an ICT related area of study together with a professional qualification/s or experience as evidenced by a substantial portfolio of recent works, deemed by the University Admissions Board, on the recommendation of the Faculty Admissions Committee, to satisfy in full the admission requirements of the Course or

(g) 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.

The admission of applicants under paragraph (f) may be made conditional on the results of an interview conducted for the purpose.

Interviews, when necessary, shall be conducted by a board composed of at least three members.

Eligible applicants in terms of paragraphs (a) to (f) may register as visiting students for individual study-units, as directed by the Board, and obtain credit for them. Should applicants be accepted to join the Course within 5 years from following the first study-unit, the Board may allow the transfer of credits to the student’s academic record for the Course in lieu of comparable units in the current programme for the Degree.

The admission requirements are applicable for courses commencing in October 2021.

For more detailed information pertaining to admission and progression requirements please refer to the bye-laws for the course available here.

UM currently hosts over 1,000 full-time international students and over 450 visiting students. The ever-increasing international students coming from various countries, in recent years, have transformed this 400-year old institution into an international campus.

Our international students generally describe Malta as a safe place, enjoying excellent weather and an all-year varied cultural programme. Malta is considered as the ideal place for students to study.

You can compare your national qualifications to the local requirements by visiting our qualifications comparability webpage.

Access more information about our admission process and English language requirements.

After you receive an offer from us, our International Office will assist you with visas, accommodation and other related issues.

Local/EU/EEA Applicants: Annual Enrolment Fee: Eur 400

Bench fees may apply - Kindly refer to 'Bench Fees Indicative Charges' document available at:

Non-EU/Non-EEA Applicants: Total Tuition Fee: Eur 13,400

Bench fees may apply - Kindly refer to 'Bench Fees Indicative Charges' document available at:
The M.Sc. in AI ensures that students will:

1. Work competently in a professional environment with responsibility for the timely delivery of agreed goals.
2. Demonstrate a clear understanding of real world practical issues surround AI areas of work that have been assigned while in the placement.
3. Apply a range of skills in the workplace including both personal and interpersonal ones.
4. Undertake advanced research in AI methologies related to the workplace.
5. Produce an end-of-placement report detailing the experiences and the achievements of the placement.
The M.Sc. in AI appeals to all graduates in possession of a degree which has a strong ICT component, but the board of studies will also take into consideration candidates with a strong experience track record evidenced by a substantial portfolio of work in industry.
On successfully completing the M.Sc. in AI the postgraduates can further pursue their studies towards a Ph.D. or apply their acquired knowledge to their line of work. Alternatively, new possibilities to switch to a fresh career within other areas of AI are also possible since current industry needs are indicating a strong potential to employ professionals with a strong understanding of other fields.
Click here to access the Programme of Study applicable from 2021/2.

Last Updated: 29 March 2021

The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints.
Units not attracting a sufficient number of registrations may be withdrawn without notice.
Unless for exceptional approved reasons, no changes to the programme of study for a particular academic year will be made once the students' registration period for that academic year begins.