Bachelor of Science in Information Technology (Honours) (Artificial Intelligence)

Bachelor of Science in Information Technology (Honours) (Artificial Intelligence)

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Course information

Course title Bachelor of Science in Information Technology (Honours) (Artificial Intelligence)
Postnominal B.Sc. IT (Hons)(Melit.)
Level of qualification First Cycle
National Qualifications Framework level Level 6
Duration 3 Years
Mode of attendance Full-time
Total ECTS credits 180
Coordinator Matthew Montebello
Delivered by Faculty of Information and Communication Technology
The degree in Artificial Intelligence has three main objectives: i) to provide coverage of the fundamental topics in computer science necessary to appreciate Artificial Intelligence; ii) coverage of essential skills and knowledge required in the ICT industry at large (e.g., programming in Java, C and R, Unity, databases, deep learning, robotics, artifical vision etc.), and iii) for students to acquire the unique ability to look at the world in a different way to identify and leverage opportunities for industries to increase their competitiveness in the Knowledge Age. The degree is suitable for students interested in designing and building intelligent computational systems in areas related to knowledge management; natural language processing; game AI; Web intelligence; systems that are able to learn; systems that are able to adapt to the needs, interests, preferences, and requirements of their users; systems that are able operate autonomously to communicate and collaborate with each other to solve real-world problems; and advanced user interfaces that enable human-computer interaction to go beyond the traditional keyboard and mouse.

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Applicants for the Course shall:


(a) satisfy the general entry requirements as specified in the Admissions Regulations of the University and be in possession of two passes at Grade C or better in Pure Mathematics and Computing provided that one of these passes is at Advanced Matriculation Level and the other pass is at least at Intermediate Matriculation Level


(b) be in possession of:

(i) a pass at Advanced Matriculation Level at Grade C or better in Pure Mathematics, or at a corresponding level of other examinations recognised by Senate for the purpose of the Admissions Regulations of the University and

(ii) either one of the following:

(1) the Diploma of the City and Guilds of London Institute Course No. 7235 in Applied Information Technology or

(2) the MCAST-BTEC Extended Diploma in IT or

(3) the MCAST Advanced Diploma in IT or

(4) the MCAST-BTEC Higher National Diploma (HND) in Computing

provided that students who lack a grade in only one of the subjects of the special course requirements required at Advanced Matriculation Level indicated in paragraphs (a) and (b) shall be admitted under those conditions as the Board may impose to compensate for the missing element. If, by the end of the first year, such students do not successfully complete all the requirements to progress regularly to the second year of the Course, they shall be required to withdraw from the Course and shall neither be entitled to repeat the year nor to progress conditionally as normally permitted under the Principal Regulations.

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: No fees apply

Non-EU/Non-EEA Applicants: Fee per academic year: Eur 10,800
Graduates will be able to identify, leverage, and grasp opportunities to apply AI techniques to solve real-world problems and to engage in the study of AI. Graduates should cope with key challenges in computing such as how to perceive the environment, represent human knowledge, use computational models to understand, explain and predict complex behaviour of individuals, groups, and systems, and make computational devices as natural to interact with as people.

The compulsory study-units in the programme of study give students the background in Computer Science and Artificial Intelligence. Students who perform well in examinations and assignments will be able to grasp advanced concepts in Artificial Intelligence and can demonstrate their knowledge and understanding of these concepts by satisfying the requirements of the advanced study-units. In particular, they will be able to identify opportunities for applying AI techniques to solve real-world problems; recognise when the use of AI techniques to solve problems is beneficial; design and implement solutions; justify their approach; identify how their solution should be evaluated and carry out the evaluation. The Final Year Project gives students the opportunity to show-case their ability to independently carry out research, apply their knowledge and understanding to analyse and solve or partially solve a problem using AI techniques, clearly describe and justify their approach in a scientific and mature manner, and demonstrate the ability to recognise the contribution they have made by drawing appropriate conclusions based on the success of their approach.

Artificial Intelligence is an intellectually challenging area of study. To be successful, students must not only demonstrate an understanding of fundamentals of Computer Science, but must be able to devise heuristics and partial solutions to build systems that are capable of solving problems that traditionally require human "intelligence" to solve. Students must be creative and innovative to identify problems that are worth solving - and these opportunities are increasing as more information is made available via the WWW, and computational devices become increasingly capable of using data and information from the environment around us, and are increasingly used to modify our perspective of, or to enable us to better interact with, the environment around us - and to identify and reason about solutions that can be demonstrated to work or to support human activities.

Students will demonstrate their intellectual skills by:

Investigating prior work in the domain and comparing previous approaches to identify relevant solutions.
Specifying why and how prior work is relevant and applying it to a chosen or given problem.
Planning and organising research-based and design and implementation oriented tasks, and writing a critical analysis of the prior work and a justified approach to their solution in a scientific and mature manner.
Assessing possible approaches to evaluation, justifying the chosen approach, carrying out the chosen evaluation, and describe the evaluation.
Analysing the results of the evaluation to demonstrate the success of their solution, or if it fails, to explain the failure and how their approach could be improved.
Judging their work objectively by drawing logical and appropriate conclusions that are consistent with the prior work, chosen approach, evaluation results and analysis of the results obtained.

Students will demonstrate their key/transferable and professional and practical skills by:

Using the correct tools and materials to presents different aspects of their work.
Using the correct tools and AI techniques to solve different problems in different contexts.
Applying general and personal skills in relation to report writing and presentations.
Carrying out research, analysis, design, implementation, and evaluation independently.
Solving problems in a justifiable and appropriate manner; Working as part of a team. Applying ethical approaches.
The programme of studies will ensure that students are employable in a variety of IT-related jobs by ensuring that students acquire C and Java programming, database, and mathematical skills, knowledge, and competencies. Students will bring to industry AI skills, knowledge, and competencies in Web Intelligence, Natural Language Processing, Knowledge Acquisition, Representation, Reasoning, and Management (Knowledge Systems Development), Game Development, Deep Learning, Robotics and User Adaptive Systems. Working as part of a team, they will have the ability to see opportunities for integrating "intelligence" into mainstream IT systems.

Through this degree programme, students will be properly prepared to undertake research in AI at postgraduate level at the University.
Students who wish to participate in an ERASMUS exchange are encouraged to do so during the first and/or the second semester of the second year of the course.
Click here to access the Programme of Study applicable from 2021/2.

Last Updated: 9 April 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.