PMSCHLTFT-2024-5-O - L-Università ta' Malta

Course Title

Master of Science in Human Language Science and Technology

MQF Level

Duration and Credits

24 Months

120 ECTS

Mode of Study

Full-time

Information for International applicants

Applicants must be in possession of:

Refer to the list of country-specific qualifications

A first cycle degree classified with a Second Class (Honours) or Category II or better in one of the following areas of study: (Computational) Linguistics, Language Technology, Cognitive Science, Computer Science, Mathematics, Artificial Intelligence, or other relevant disciplines.

Applicants are required to demonstrate that their standard of English is satisfactory. The offer of a place on the Course may be made subject to the applicants obtaining such proficiency qualifications prior to the commencement of their studies.

Details on how to apply are available.

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Applications for our February and October intakes have been officially open since the third week in November. 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 important if you require a visa to travel and eventually stay in Malta.

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.

The University of Malta has student accommodation on campus called Campus Hub. Campus Hub is just a 2-minute walk from the main campus. For more information, visit the accommodation website.

Our dedicated team at the student recruitment office is here to support you every step of the way. From the moment you start your application to the moment when you receive your decision letter, we're here to assist you. If you have any questions or need further information, don't hesitate to reach out to us. You can contact us at info@um.edu.mt, and our team will be more than happy to help.

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

The Master of Science in Human Language Science and Technology falls under the auspices of the Erasmus Mundus LCT (Language and Communication Technologies) consortium. The programme aims to create education and training opportunities for future generations of leaders in research and innovation in the area of Human Language Technology. It provides you with deep knowledge and insight into the various disciplines that contribute to the methods of LCT and strengthens your ability to work according to scientific methods.

Non-Maltese students spend one year at the University of Malta and another year at a partner University of the LCT consortium. Maltese students spend both years at partner universities of the LCT consortium, other than the University of Malta.

This programme is offered as an interfaculty programme of the Faculty of Information and Communication Technology and the Institute of Linguistics and Language Technology.

Students registered on this course are required to register for 60 ECTS credits at the University of Malta and another 60 ECTS credits at a partner institution.

The study-units which students may register for during their studies at the University of Malta (either during their first or second year of the course, and following consultation with the course coordinator) are as follows:


Year and Summer Semester
CSA5310*	Dissertation	30 ECTS

Elective Units (Elective units are offered subject to availability, a minimum number of student registrations and time-table constraints)

ARI5101	Placement	6 ECTS


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)

CSA5024	Advanced Issues in LCT 1	4 ECTS
CSA5312**	Project	10 ECTS


Semester 1

Compulsory Units (All students must register for this/these unit/s)

ARI5905	Research Topics in Natural Language Processing	5 ECTS

Elective Units (Elective units are offered subject to availability, a minimum number of student registrations and time-table constraints)

ARI1101	Foundations of Data Science	5 ECTS
ARI1103	AI Numerical Methods 1	5 ECTS
ARI3210	Speech Technology	5 ECTS
CPS5200	Mathematics of Discrete Structures	5 ECTS
EBI3085	Entrepreneurship: Start-up your Innovative Business	5 ECTS
ICS2205	Web Intelligence	5 ECTS
ICS2207	Machine Learning: Introduction to Classification, Search and Optimisation	5 ECTS
ICS5110	Applied Machine Learning	5 ECTS
ICS5111	Mining Large-Scale Data	5 ECTS
LIN3010	Language Typology and Universals	4 ECTS
LIN3301	Experimental Psycholinguistics	4 ECTS
LLT2510	Introduction to Programming for Language Applications	4 ECTS
LLT2520	Introduction to Machine Learning for Language Applications	4 ECTS
LLT3511	Deep Learning Approaches to Natural Language Processing	5 ECTS


Semester 2

Elective Units (Elective units are offered subject to availability, a minimum number of student registrations and time-table constraints)

ARI1203	AI Numerical Methods 2	4 ECTS
ARI2203	Statistical Natural Language Processing	4 ECTS
ARI5102	Data Analysis Techniques	5 ECTS
ARI5121	Applied Natural Language Processing	5 ECTS
CPS5201	Discrete Mathematics	5 ECTS
ICS5003	Knowledge Representation and Reasoning for Language Technology	5 ECTS
ICS5115	Statistics for Data Scientists	5 ECTS
ICT5101	Internet of Things	5 ECTS
IOT5028	Creativity, Innovation and New Digital Technologies	5 ECTS
LIN3095	Writing Systems	4 ECTS
PHB2505	Science Communication	6 ECTS

*Compulsory for students registered at the University of Malta during the second year of the course.

**Compulsory for students registered at the University of Malta during the first year of the course.

This programme of study is governed by the Erasmus Mundus Master of Science in Human Language Science and Technology - M.Sc. (HLST) - Degree Course Regulations, 2020 under the auspices of the Faculty of Information and Communication Technology and the Institute of Linguistics and Language Technology.

In addition to the total number of credits for the programme (120 ECTS credits), students may apply to the Board to register for the extra study-unit listed hereunder. Extra study-units cannot substitute compulsory, elective or optional study-units that form part of the official Senate-approved programme of studies, and do not count towards the Year Average Mark or towards the Final Weighted Average Mark. The conditions and criteria for Extra study-units can be accessed here.

Semester 2

LIN1063 Academic Reading and Writing in English 2 ECTS

By the end of the course, you will:

Acquire in-depth knowledge of topics in Language Science and Technology, Computational Linguistics, Computer Science and Artificial Intelligence.
Build solid foundations from the perspective of language (computational syntax and morphology, computational semantics, pragmatics and discourse) and computer science (Logic, computability and complexity, formal languages and algorithms, data structures, data organisation and processing).
Acquire a rounded set of skills that combine theoretical insights with practice-oriented knowledge.
Receive advanced applications in areas such as Machine Translation, Natural Language Generation, Knowledge Representation, Information Retrieval, Question Answering, Speech Technology, Bioinformatics Automated Reasoning, Web Science, Intelligent and Multi-modal Interfaces, Search Engine Technology, Neural Networks, and Machine Learning.

Non EU Applicants:

This is an Erasmus funded programme and students apply with the University of Saarlandes

You are viewing the fees for non EU nationals. Switch to EU nationals if you are a national of any country from within the EU/EEA.

This degree serves as a qualification for follow-up PhD studies with the participating partners and other institutions or as an additional qualification for a career in the IT industry. In both cases, the degree is a guarantee of high-quality education for when you will work on multilingual information management, the development of new technologies for adaptive multimodal and multilingual human-computer dialogue systems, efficient processes for content-management on the Internet, and development of language strategy and quality assurance, especially in the rapidly expanding multilingual European area.

Every effort has been made to provide information that is current and accurate. However, as the content is being constantly updated, users are advised to verify the details contained in these web pages with the relevant University office or authority before making decisions based on the published information.