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COURSE TITLE Master of Science in Human Language Science and Technology
 
COURSE CODE PMSCHLTFT

POSTNOMINAL

LEVEL OF QUALIFICATION

NATIONAL QUALIFICATIONS
FRAMEWORK LEVEL

DURATION

MODE OF ATTENDANCE

TOTAL ECTS CREDITS

COORDINATOR

M.Sc. (HLST)(Melit.)

Second Cycle

Level 7

4 Semesters

Full-time

120

Michael Rosner

COURSE OVERVIEW
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 students with deep knowledge and insight into the various disciplines that contribute to the methods of LCT and strengthens their 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. In this way all students are offered a substantial taste of international collaboration.
 
LEARNING OUTCOMES Students acquire in-depth knowledge of topics in Language Science and Technology, Computational Linguistics, Computer Science and Artificial Intelligence. The focus of instruction is on building solid foundations from the perspective of language (computational syntax and morphology, computational semantics, pragmatics and discourse) and of Computer Science (Logic, Computability and Complexity, Formal Languages and Algorithms, Data Structures, Data Organisation and Processing).

In addition, advanced applications areas are offered, including 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.

By choosing appropriate combinations of modules in Language Technology, Computational and Theoretical Linguistics, and Computer Science, students acquire a rounded set of skills that combine theoretical insights with practice-oriented knowledge.
 
CAREER OPPORTUNITIES AND ACCESS TO FURTHER STUDY 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 students who will in the future 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.
 
COURSE INTENDED FOR For prospective students for this course should have a first degree in Computer Science or an equivalent with the potential to develop a strong aptitude in the study of Linguistics and in formal models of communication, or a first degree in Linguistics or related area with an aptitude for formal methods, some experience in Computer Programming, and strong potential to develop skills in Computer Science and Artificial Intelligence.
 
ADMISSION AND
PROGRESSION REQUIREMENTS
The Course shall be open to applicants in possession of 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.

Proficiency in English may be certified by one of the following:

TOEFL: score of at least 250 (computer-based test) or 95 with a writing score of at least 24 (internet-based test)

Cambridge Proficiency Examination Advanced Certificate: pass at grade C or better

IELTS: at least 6.5 with a minimum 6.0 in each element.

English native speakers and students who have attended a Bachelor’s course taught in English may not be required to submit the above certificates but may be required to demonstrate proficiency in some other way.

Details on how to apply are available here.

The admission requirements are applicable for courses commencing in October 2017.

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


 

 

 
Last Updated: 15 October 2017
 
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.

For applicable fees please check the link on the Finance Office webpage.
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The 13th Edition of EY’s Annual Attractiveness event will be held on 25th October 2017 at the InterContinental Hotel,

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