Artificial -Intelligence MSc
What will you learn?
Artificial intelligence is a field that investigates theoretical and practical questions about intelligence and intelligent machines and how such knowledge can be applied in the automation of society. The program is for students who are interested in artificial intelligence of the present and future, its technology, practical possibilities, and unanswered scientific and philosophical questions.
The field of artificial intelligence studies intelligence with an engineering approach, with application potential in most, if not all, areas of society. It is also a young field where much remains to be researched, and significant discoveries are yet to be made. The MSc program in Artificial Intelligence aims to relate the studies directly to every student’s interests while providing a broad and deep foundation for the field as a whole, with a horizon of at least 20 years in the future. The topics taught include artificial neural networks, empirical reasoning systems, control systems, robotics and various other artificial intelligence methods. By delving into and explaining the basic foundations of phenomena such as knowledge, machine learning, understanding, language, planning, reasoning, and much more, as well as strengthening students’ independence and critical thinking, the program prepares students for the diversity and many opportunities that the field of artificial intelligence offers.
How will you learn?
The MSc in AI program consists of projects and courses involving the latest methods and research in the field of artificial intelligence. Students have the opportunity to elect courses of interest and acquire skills that enable them to conduct research and work with scientists in the AI field. Most of the courses are taught over a 12-week period, with the final exam in the following thirteenth week, but some courses are offered over a contiguous three-week period at the end of the semester.
The program is research-based, both theoretical and practical, and ends with a 30- or 60-ECTS final project on the topic chosen in collaboration with their thesis advisor. If a 30-ECTS Digital Transformation final project/thesis is chosen, the student does an 18-ECTS internship at an HR partner company (laying the foundation for a 30-ECTS final project) by performing a requirements analysis for the automation of a certain process or subtask in the company's operations.
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.
Structure
In the first year, students complete compulsory courses in the field of artificial neural networks, empirical reasoning, control systems, robotics, and various other artificial intelligence methods. In some courses, students get the opportunity to work on projects related to their field of interest.
In the second year, students get to tailor the program further to their areas of interest, not least in research. The final thesis can be 30 or 60 credits, and the student's focus topic is defined in collaboration with their advisor. A 30-ECTS final project in Digital Transformation, e.g. in language technology or other fields, includes an 18-ECTS internship. In this case, the final thesis revolves around meeting the company's needs by building a prototype using artificial intelligence technologies.
Collaboration with other departments
The Department of Computer Science works closely with other departments within the university, such as the Department of Engineering and the Department of Psychology. Close collaboration also exists with the Center for Analysis & Design of Intelligent Agents (CADIA - RU’s AI lab) and the Icelandic Institute for Intelligent Machines, as well as various industry partners. Students often benefit from such collaborations in their research and when choosing research topics.
New knowledge
By innovating on their topics of interest, students acquire targeted expertise and quality specialization. Various options are available to them to delve deeper into questions they would like to do research on. Students have, for example, done research projects in areas such as robotics, virtual reality, human-computer interaction, language technology, and many more.
Internship
Students have the choice of an internship that takes place on-site with an RU industry partner or another relevant associated party and involves analyzing at least one problem with the intention of automation using AI, using an appropriate requirements analysis methodology. Students will create a prototype of a solution based on the analysis of the industry problem and produce an outline of their thesis based on this work. Following the existing practices required for ECTS coursework, the 18 ECTS Digital Transformation Internship course will require between 37.5 and 45 hours each week (of which approx. 18 hours will be on-site at the partner’s physical location) over the course of a 12-week semester, including on-site activities, and work undertaken outside of the internship site.
Scholarships
Language Technology Scholarship
Full tuition waiver scholarships are available for students enrolling in the AI and Language Technologies emphasis line, aimed at fostering academic excellence within this dynamic field. Applicants who have been accepted and plan to specialise in Language Technology are eligible to apply. Detailed information on the application process will be included in their admission package
What next?
Future prospects
Upon graduation, students will have acquired knowledge of the key topics and challenges of artificial intelligence, be familiar with its main research methods and theories, can place the latest artificial intelligence approaches, basic research results and its many applications in the larger context of the state of the field and society as a whole.
After graduation
A variety of job opportunities are available to those who complete a Master's Degree in Artificial Intelligence at Reykjavik University, as the use of artificial intelligence technology is constantly increasing in all areas of society. Students with an MSc degree in AI are already working on automation with a wide range of companies, such as biotechnology, manufacturing, social media, and much more, as well as conducting research and development at various institutions and startups.
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
MSc in Artificial Intelligence
In the fall of the second year, students may choose the Digital Transformation path, with 18 ECTS going towards internship work. The target total for each semester is 30 ECTS, giving a total of 120 ECTS for the degree over 4 semesters.
Emphasis Line
Students pursuing the MSc in Artificial Intelligence can choose the Language Technology track. To graduate with this emphasis, follow the programme structure outlined below:
Structure
Entry requirements
Facility
Tuition and scholarships
- For information on tuition fees, please see tuition fees.