Master of Science in Human Language Science and Technology
Study Discipline: Computer Science & IT, Science & Mathematics
Study Programme Details
City: Msida
Country: Malta
Admission Sessions: Autumn Session
Study Format: Full Time
Mode of Study: Fully on Site
About this Study Course
The Master of Science in Human Language Science and Technology, nestled within the esteemed Erasmus Mundus LCT (Language and Communication Technologies) consortium, is at the forefront of fostering the next generation of trailblazers in research and innovation within Human Language Technology.
Through this program, embark on a journey that delves deep into the multifaceted disciplines underpinning Language and Communication Technologies, empowering you with profound insights and methodological prowess. Whether you’re a non-Maltese student spending a year at the University of Malta and another year at a partner university or a Maltese student experiencing both years at consortium partner institutions, this program promises a transformative educational odyssey.
Overview
Immerse yourself in the realms of Language Science and Technology, Computational Linguistics, Computer Science, and Artificial Intelligence through our meticulously crafted curriculum. Here, you’ll build robust foundations encompassing computational syntax, morphology, semantics, pragmatics, discourse, logic, computability, complexity, and much more.
Explore an array of practical applications, from Machine Translation to Natural Language Generation, Speech Technology, Neural Networks, and beyond. With a blend of theoretical depth and hands-on experience, unlock the door to a world brimming with opportunities in Knowledge Representation, Information Retrieval, Bioinformatics, Web Science, and Intelligent Interfaces.
Admission Requirements
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.
- CSA5310* Dissertation (30 ECTS)
- ARI5101 Placement (6 ECTS)
- CSA5024 Advanced Issues in LCT 1 (4 ECTS)
- CSA5312** Project (10 ECTS)
- ARI5905 Research Topics in Natural Language Processing (5 ECTS)
- Elective Units: Various elective units are available, covering a spectrum of topics such as Foundations of Data Science, AI Numerical Methods, Speech Technology, Mathematics of Discrete Structures, Entrepreneurship, Web Intelligence, Machine Learning, Language Typology, Psycholinguistics, Programming for Language Applications, Deep Learning Approaches, Statistical Natural Language Processing, Data Analysis Techniques, Discrete Mathematics, Knowledge Representation, Statistics for Data Scientists, Internet of Things, Creativity, and Science Communication, among others. (Courses are subject to availability and may vary based on student registrations and timetable constraints.)
Non EU/EU Applicants:
This is an Erasmus funded programme and students apply with the University of Saarlandes
Future Career Outcomes
Graduates of our program have charted impressive career trajectories, with alumni excelling in diverse sectors such as tech giants, research institutions, multinational corporations, and academia. Witness how our curriculum aligns seamlessly with industry demands, nurturing skills vital for success in today’s dynamic job market. Join a community of professionals equipped with the expertise to spearhead innovation and drive impactful change in the realm of Human Language Technology.
Visa Requirements:
For visa information, please visit Malta page for student visa and student life.
