MSc in Artificial Intelligence and Language Technology

Artificial intelligence (AI) is a research and development field concerned with building smart machines capable of performing tasks that typically require human intelligence. Language Technology (LT) is a research and development field whose purpose is to develop tools that can process and understand human languages and facilitate their use in human-computer interaction.

Overview

A teacher stands in front of a class

Credits

120 ECTS.

Language

Language of instruction is English.

Length of study

Two years, full time.

Start date:

January and August each year.


The Master program in Artificial Intelligence and Language Technology (MAILT) at Reykjavik University (RU) is a two year interdisciplinary program. Students take courses in Computer Science and Engineering at RU, and courses from the MA program in LT at the University of Iceland (UI). The goal of the program is twofold. First, to graduate students with the necessary knowledge to manage and/or implement AI and LT projects. Second, to prepare students for PhD studies in the field of AI and LT.

Students need to be registered in the MAILT program at RU or in the MA program in LT at UI, but can pursue relevant courses in both universities. A student graduates from the university he/she is registered in, and produces a final masters project/thesis under the supervision of a researcher in that particular university. A student registered at RU graduates with an MSc degree, whereas a student registered at UI graduates with an MA degree.

Admission

Bachelors degree

  • Applicants for the MAILT program at RU should at minimum have very successfully completed (or be close to completing) a B.Sc. degree in Computer Science, Engineering, or a related area. Students who have completed a university degree in another disciplines can also apply and their background and foundation is then assessed separately.

English Language Requirements

  • Students whose first language is not English are required to provide certifications of TOEFL scores or comparable tests. The TOEFL DI Code is 8825.

Structure 

Course Structure at RU

The MAILT program is a two year, 120 ECTS, study. At least 2/3 of the required course credits must be from graduate courses in Computer Science, Engineering, or from the MA program in LT at UI.

The program has two tracks: a course-based track and a research-based track. In the course-based track, students complete at least 90 ECTS of course-work, and 30 ECTS of M.Sc. project work under the supervision of a faculty member. In the research-based track, students complete at least 60 ECTS of course-work, while 60 ECTS are devoted to an individual research project under the supervision of a faculty member.

List of Courses

Autumn:

  • T-725-MALV, Natural Language Processing, 8 ECTS (a core course)
  • T-809-DATA, Data Mining and Machine Learning, 8 ECTS (a core course, or T-796-DEEP)
  • T-796-DEEP, Introduction to Deep Learning, 6 ECTS (a core course, or T-809-DATA)
  • T-718-ATSR, Automatic Speech Recognition, 8 ECTS
  • MLT301F, The structure of Icelandic and language technology, 10 ECTS (Taught at UI)
  • MLT302F, Treebanks, 10 ECTS (Taught at UI)
  • T-720-ATAI, Advanced Topics in AI, 8 ECTS
  • T-738-VIEN, Virtual Humans, 8 ECTS
  • T-740-SPMM, Software Project Management, 8 ECTS
  • T-768-SMAI, Informed Search Methods in AI, 8 ECTS
  • T-636-SMAT, Human Computer Interaction, 6 ECTS (BSc course)
  • T-519-STOR, Theory of Computation, 6 ECTS (BSc course)
  • T-603-THYD, Compilers, 6 ein. (BSc course)
  • ÍSL321G, Clauses and context, 10 ECTS (BSc course, taught at UI)
  • ÍSL306G, Phonetics, 10 ECTS (BSc course, taught at UI)
  • ÍSL314G, Phonology, 10 ECS (BSc course, taught at UI)

Spring:

  • T-701-REM4,Research Methods, 8 ECTS (a core course)
  • T-754-SPLP, Spoken Language Processing, 8 ECTS (a core course)
  • T-703-MGHR, Language Resources: research and development, 8 ECTS
  • T-717-SPST, Speech synthesis, 6 ECTS
  • MLT801F, Automatic language correction, 10 ECTS (taught at UI)
  • T-747-RELE, Reinforcement Learning, 8 ECTS
  • T-764-DATA, Big Data Management, 8 ECTS
  • T-742-CSDA, Computer Security, 8 ECTS
  • T-705-EACS, Ethics and Accountability in Computer Science
  • T-622-ARTI, Artificial Intelligence, 6 ECTS (BS course, a core course)
  • T-611-NYTI, New Technology, 6 ECTS (BSc course)
  • T-501-FMAL, Programming Languages, 6 ECTS (BSc course)
  • ÍSL440G, Syntax, 10 ECTS (BSc course, taught at UI)
  • ÍSL447G, Morphology, 10 ECTS (BSc course, taught at UI)
  • ÍSE025G, Icelandic - the basics, 10 ECTS (BSc course, taught at UI)

 

Scenarios

MSc_AILT

Contact us

If you have any questions or want to obtain more information about studies at the School of Computer Science at Reykjavik University please contact: td@ru.is .


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