Machine Learning and Data Mining (Macadamia)

Machine learning is one of the strong points of Aalto University. This solid education in modern computational data analysis gives you excellent opportunities for a career in research institutions or in the private sector in the rapidly developing fields of machine learning, data science, and artificial intelligence.

The methods of machine learning and data mining are applicable and needed in a wide variety of fields ranging from process industry to data science. Recent spearhead application areas include

  • bioinformatics,
  • computational astrophysics, biology, and medicine,
  • interactive technologies,
  • information retrieval,
  • information visualization,
  • neuroinformatics, and
  • social-network analysis.

See more detailed information about courses >>

Poster (pdf)

Macadamia Doctoral Track

In addition to normal Master’s programme, Macadamia will be offered as a doctoral track in the academic year 2017-2018. Doctoral track means that some of the students selected to the Macadamia major can have their studies tailored towards a research career and can start working towards PhD in one of the department’s research groups already during their Master studies.

For prospective students

Further information about admission criteria and applying >>
Further information (in Finnish) about transferring (School of Science Bachelor students) >>

Page content by: communications-cs [at] aalto [dot] fi (Department of Computer Science) | Last updated: 25.10.2016.