AI and Language -Technology MSc
What will you learn?
Artificial Intelligence is a subject of study and development that focuses on creating solutions to accomplish tasks that usually need human intelligence. Language technology strives to develop systems that can operate with and understand languages and encourage their use in human-computer interaction.
Students learn to utilise artificial intelligence, such as machine learning and deep learning, to solve various challenges and develop language technology solutions. Students can work on projects such as speech analysis, speech synthesis, virtual animals, chatbots, machine translations, language review, question answering, marking, parsing, and information extraction. The curriculum teaches artificial intelligence skills that can be applied outside language technology.
How will you learn?
Graduate studies provide students with both specialised and practical technical knowledge. Students collaborate with their supervisors to create a personalised study plan based on their interests. The programme is research-based, and students can use it to pursue advanced specialisations. The curriculum is delivered in English, and students communicate often with their teachers.
Prerequisite
Graduate studies provide students with both specialist and practical technical expertise. Students develop an individualised study plan together with the supervisor based on their subject of interest. The curriculum is research-based, and students can use it for more substantial specialisations. The curriculum is delivered in English, and students maintain regular contact with their teachers.
The Language & Voice Lab (LVL)
The Language and Voice Lab (LVL) is located within the CADIA research centre at Reykjavik University. Master's students in the MAILT programme typically conduct their research projects under the supervision of LVL researchers. Many master's students have collaborated with supervisors to write and publish papers in peer-reviewed conferences.
Collaboration between RU and UI
The programme is a joint study between Reykjavík University and the University of Iceland. At RU, students are expected to have a bachelor's degree in computer science or a related field. In contrast, at UI, the program is also designed for individuals with a bachelor's degree in humanities. Those with a university degree in another discipline may also apply for admission, and their aptitude and suitability will be considered independently.
Students can enrol in either the master's degree in Artificial Intelligence and Language Technologies at RU or the master's studies in Language Technology at UI. Students can attend classes at both schools. The student graduates from his current school and typically works on a master's project supervised by a teacher at that school.
What next?
Future prospects
Experts in artificial intelligence and language technology are increasingly popular commercially. IT organisations and businesses that support clients through written and spoken language are familiar places for experts in this industry to work.
Apple, Amazon, Google, Meta, and Microsoft are among the world's largest technology companies, and developing solutions for working with speech and text is becoming a more critical component of their operations. Specialisation in artificial intelligence and language technology provides opportunities to work on both the Icelandic and international levels, as the need for professionals with this knowledge is constantly expanding.
A master's programme in artificial intelligence and language technology can also help you prepare for a PhD programme on this subject.
Through various projects, I have found my field of interest and, at the same time, gained an insight into computer science. These include setting up an artificial intelligence that learns to compose music, performing a sleep study on myself and predicting Eurovision results with Big Data.
Structure
Students can choose between course-based and research-based tracks. Students enrolled in the research-based programme must complete at least 60 ECTS of coursework, with an additional 30 ECTS dedicated to an independent research project supervised by a faculty member.
The programme is administered in partnership with the University of Iceland’s Icelandic Language and Culture Department, and students are welcome to take classes there.
The programme is a two-year study, and students must complete 120 ECTS to graduate. At least two-thirds of the required course credits must come from graduate Computer Science and Engineering courses from the University of Iceland's master's degree in language technology. The composition of ECTS is flexible and based on the student's background.
Below is an example of a programme plan. Some of the courses are taught in RU, while others are in UI. Master's courses in human resources often have 8 credits, whereas introductory courses have 6 credits.
If the student still needs to finish the course T-622-ARTI Artificial Intelligence as part of his Bachelor's degree, he must take it. The course is taught throughout the spring semester.
Facilities
Service and good facilities.
The RU University facility includes facilities for practical instruction, research, group work rooms, a canteen, study, career counselling, and other student services.
New knowledge
RU is at the forefront of artificial intelligence research worldwide. Students who collaborate on projects and perform research with researchers from the Artificial Intelligence Center HR, CADIA, have access to the centre's facilities for experiments and unique development in the Black Hole, a multimedia experimental area. Some devices can be used to communicate between people and computers, including virtual reality devices (Oculus Rift and HTC Vive), giant screens (3m x 2m), computer vision (Kinect), directional microphones, computer-controlled LED lighting, speaker systems, and sound mixers, to name a few. The room can be reserved for project work or experiments.
Students and staff at all levels of study can also use the group work facilities. There are table storage facilities (drawers, shelves, crates), essential equipment (monitors, cables, etc.), marker boards, and amusement facilities (sofas and game machines).
Classrooms and Reading Rooms
Reykjavík University has outstanding facilities for teaching, reading, and student collaboration. The classrooms are well-equipped, and students can use group work areas. Students have access to general amenities all day and night. Computer science students frequently study together in a specific section of Sólin.
Services
The university facility provides quick access to study and career guidance, an international office, and technological assistance. The library features excellent and diverse working facilities. The museum offers access to books and scholarly articles, and information professionals hold open hours during which students can walk around, get guidance, and aid with reference work.
Shops and Cafe
RU facilities include the Háskólbúðin (convenience store), a cafe, a World Class training facility, and a Málið restaurant.
Sports Facilities
World Class runs a gym in the university building, which offers discounts to students.
Teachers
Why computer science in HR?
- In-demand expertise for the future.
- Gain deeper knowledge in the field that interests you the most.
- Get experience in research and training in thinking outside the box and seeking new knowledge - throughout your career.
- Get involved in real science projects that have a positive impact on society.
- Enjoy better career opportunities anywhere in the world.
- Take advantage of elective courses to tailor your studies to your area of interest.
- Get the opportunity to work with many of Iceland's most productive computer science researchers.*
- Good preparation for doctoral studies.