• Application Deadline
  • 24 months
    Duration
This solid education in Computer, Communication and Information Sciences - Machine Learning, Data Science and Artificial Intelligence from Aalto University 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.

Overview

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.

The major in Computer, Communication and Information Sciences - Machine Learning, Data Science and Artificial Intelligence from Aalto University covers a wide range of topics in modern computational data analysis and modelling methodologies.

Career opportunities

The graduates of the Macadamia major have an excellent background for pursuing an academic career within the fields of machine learning, data science and artificial intelligence, as well as in the industry applying those techniques.

Typical job titles of recent graduates include Analyst, Analytics Engineer, Data Analyst, Data Scientist, DevOps Engineer, Machine Learning Software Engineer, PhD student, Research Assistant, Software Developer, Software Engineer.

Examples of companies our recently graduated alumni work for: Accenture, Aureus Analytics, Discover Financial Services, Elsevier, Jongla, Omniata Inc, Sanoma, Verto Analytics.

Programme Structure

Courses Include:

  • Machine Learning: Basic Principles
  • Bayesian Data Analysis
  • Deep Learning
  • Machine Learning: Advanced Probabilistic Methods
  • Algorithmic Methods of Data Mining
  • Kernel Methods in Machine Learning
  • Research Project in Machine Learning and Data Science

Detailed Programme Facts

English Language Requirements

  • Minimum required score:

    6.5

    The IELTS – or the International English Language Test System – tests your English-language abilities (writing, listening, speaking, and reading) on a scale of 1.00–9.00. The minimum IELTS score requirement refers to which Overall Band Score you received, which is your combined average score. Read more about IELTS.

    Get a free IELTS practice test
  • Minimum required score:

    92

    The TOEFL iBT ® measures your English-language abilities in an academic setting. The test has four sections (reading, listening, speaking, and writing), each with a score range of 0-30, for a total score range of 0-120. Read more about TOEFL iBT ®.

    Schedule TOEFL®

Academic Requirements

  • This programme accepts GRE® scores. However, it does not provide a recommended score range.

    Schedule GRE®

    The GRE® General Test is a widely administered admissions test that measures the skills needed in today's graduate and business school programs worldwide. The GRE® General Test contains three sections - Verbal Reasoning, Quantitative Reasoning, and Analytical Writing. Three scores are reported: a Verbal Reasoning score on a 130 - 170 score scale in one-point increments, a Quantitative Reasoning score on a 130 - 170 score scale in one-point increments, and an Analytical Writing score on a 0 - 6 score scale in half-point increments.

General Requirements

  • Admission criteria to the programme is a high quality Bachelor’s degree in computer science, software engineering, communications engineering, or electrical engineering.
  • Excellent candidates with degrees in other fields such as information systems, engineering, natural sciences, mathematics or physics will be considered if they have sufficient studies and proven skills and knowledge in the required areas.

Required background for the Machine Learning, Data Science and Artificial Intelligence (Macadamia) major includes sufficient skills in:

  • mathematics (particularly important are linear algebra, calculus, probability theory)
  • computer science (in particular good programming skills, data structures and algorithms)

Tuition Fee

  • International

    15000 EUR/year
    Tuition Fee
    Based on the original amount of 15000 EUR per year and a duration of 24 months.
  • EU/EEA

    Free
    Tuition Fee
    Based on the original amount of 0 EUR per year and a duration of 24 months.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.

Living costs for Helsinki

  • 975 - 1590 EUR/month
    Living Costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Check the programme website for information about funding options.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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Computer, Communication and Information Sciences - Machine Learning, Data Science and Artificial Intelligence
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The Global Study Awards: get funded with up to £10,000 to study abroad

Together with the ISIC Association and British Council IELTS, Studyportals offers you the chance to receive up to £10000 to expand your horizon and study abroad. We want to ultimately encourage you to study abroad in order to experience and explore new countries, cultures and languages.

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