Extent: Long major (55–65 credits). Compact major is not offered. Students who want to take a minor are encouraged to include it in elective studies.
The major in Machine Learning, Data Science and Artificial Intelligence (Macadamia) gives a strong basic understanding of modern computational data analysis and modelling methodologies. It builds on the strong research at the Department of Computer Science. The methods of machine learning and data mining are applicable and needed in a wide variety of fields ranging from process industry to mobile communications, social networks and artificial intelligence. Recent spearhead application areas include bioinformatics, computational linguistics, multimodal interfaces, and intelligent information access.
The major provides an excellent basis for doctoral studies as well as industrial research and development work. Teaching and supervision for Macadamia students is given by an enthusiastic and experienced group headed by world leaders in this research field. Excellent Macadamia students can continue their studies in the Helsinki Doctoral Education Network in Information and Communication Technology (HICT).
1) The student is able to formalize data-intensive problems in data science and artificial intelligence in terms of the underlying statistical and computational principles.
2) The student is able to assess suitability of different machine learning methods for solving a particular new problem encountered in industry or academia, and apply the methods to the problem.
3) The student can interpret the results of a machine learning algorithm, assess their credibility, and communicate the results with experts of other fields.
4) The student can implement common machine learning methods, and design and implement novel algorithms by modifying the existing approaches.
5) The student understands the theoretical foundations of the machine learning field to the extent required for being able to follow research in the field.
6) The student understands the opportunities that machine learning offers in data science and artificial intelligence.
The students have to take the eight compulsory courses. In addition, they include courses from the major optional courses list. Also other optional courses may be included per agreement with a professor in charge of the major.
Also other optional courses may be included per agreement with a professor in charge of the major.