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Computer, Communication and Information Sciences - Machine Learning, Data Science and Artificial Intelligence

Aalto University

M.Sc.
24 months
Duration
15000 EUR/year
Free
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

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

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

Language

English

Credits

120 ECTS

Delivered

On Campus

Academic requirements

GRE admission requirements 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. It 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.
Required
GMAT admission requirements GMAT The Graduate Management Admission Test (GMAT) is a test intended to assess certain analytical, writing, quantitative, verbal, and reading skills in written English for use in admission to a graduate management program, such as an MBA. GMAT contains 4 sections - Analytical Writing Assessment, Integrated Reasoning, Quantitative and Verbal. The score has a range from 200 - 800.
Required

English requirements

TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
92
IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
6.5

Other requirements

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.

Funding

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.

Fresh content

Updated in the last 9 months

Check the official programme website for potential updates.

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Computer, Communication and Information Sciences - Machine Learning, Data Science and Artificial Intelligence
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