Master of Science (Technology) in Machine Learning, Data Science and Artificial Intelligence - Computer, Communication and Information Sciences 

at Aalto University, Espoo

Applicants must meet the following requirements:

• Applicants are expected to have a high-quality Bachelor’s degree in computer science, software engineering, communications engineering, or electrical engineering. Excellent candidates with degrees in other fields including but not limited to information systems, engineering, natural sciences, mathematics or physics will be considered if they have sufficient studies in the required areas.
• The required university-level studies for Macadamia applicants are:
  • mathematics (linear algebra, calculus, probability theory, statistics, and discrete mathematics)
  • computer science (good programming skills, data structures and algorithms, databases)
• Studies in at least some of the following subjects are considered an advantage:
  • additional knowledge of mathematical methods (important)
  • optimization, stochastic methods, advanced probability theory or advanced statistics
  • artificial intelligence, machine learning or data mining
  • computational modelling or data analysis
  • big data applications or signal processing
  • theory of computation, computer networks or software engineering
• We expect applicants to have completed their previous degree in a high-quality university and programme. The recognition of the applicant’s home university affects also the interpretation of the grades when evaluating the academic performance.
• The applicant should be motivated to study the chosen subject and committed to full‐time studies with a plan to complete the Master’s degree in two years. We are looking for applicants who are able to express clearly the reasons for applying to the study option and describe why they would be excellent candidates for it. 
• Beyond their academic record, applicants may have other experience, knowledge, and qualifications that prepare them for the Master’s studies and distinguish them among their peers. We particularly value demanding work experience in the area of the planned studies, participation in scientific research leading to publications, entrepreneurship, and special achievements such as success in competitions (e.g. Junction Hackathon).

• IELTS Academic: overall score 6.5, and writing score 6.0.
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