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 PMSCIARIPET7
Postnominal M.Sc.(Melit.)
Level of qualification Second Cycle
National Qualifications Framework level Level 7
Duration 4 Semesters
Mode of attendance Part-time Evening (mainly by Research)
Total ECTS credits 90
Coordinator Charles Abela
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, 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 (Big Data, Computer Vision, Robotics, Fintech or Geosciences) 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.

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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: Total Tuition Fees: Eur 5,700
Fee per semester: Eur 1,425

Bench fees may apply - Kindly refer to 'Bench Fees Indicative Charges' document available at: https://www.um.edu.mt/__data/assets/pdf_file/0007/341557/BenchFeesIndicativeCharges.pdf

Non-EU/Non-EEA Applicants: Total Tuition Fees: Eur 13,400
Yr 1: Eur 6,700 - Yr 2: Eur 6,700

Bench fees may apply - Kindly refer to 'Bench Fees Indicative Charges' document available at: https://www.um.edu.mt/__data/assets/pdf_file/0007/341557/BenchFeesIndicativeCharges.pdf
By the end of the course, you will be able to:

• Apply your previous knowledge from your undergraduate degree to applied intelligence computer systems.
• Gain insightful and practical knowledge that will later apply to specific focuses like Big Data Analytics, Computer Vision, Robotics and Fintech.
• Analyse and critically evaluate applicability of both machine learning, statistical and data mining approaches.
• Develop the capacity to analyse and critically evaluate applicability of Computer Vision algorithms for given problems.
• Understand the technologies used by a machine to understand, process and generate language.
• Analyse and critically evaluate applicability of Computational Finance algorithms for given problems.

More information available here
If you are a graduate from a degree which has a strong ICT component, then the M.Sc. in AI will appeal to you. The board of studies will also take into consideration if you are a candidate with a strong experience track record evidenced by a substantial portfolio of work in industry.
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.
Click here to access the Programme of Study applicable from 2021/2.

Last Updated: 11 November 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.

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