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What exactly is intelligence, and how does it evolve? What is learning and why has 'learning to learn' become a crucial skill in today’s world? Wanting to find answers to questions as plain and straightforward as these can be enough of a reason for someone to... Read more
What exactly is intelligence, and how does it evolve? What is learning and why has 'learning to learn' become a crucial skill in today’s world? Wanting to find answers to questions as plain and straightforward as these can be enough of a reason for someone to study machine learning, data science and artificial intelligence. Yet these fields also deal with some of the most challenging problems of the 21st century, making the Machine Learning, Data Science and Artificial Intelligence (or “Macadamia”) major at Aalto University an ideal study environment for someone who is motivated to get out of their comfort zone. Be it to find new solutions to tackle climate change or better understand the causes of an epidemic, artificial intelligence, data science and machine learning have an integral part to play.
A Macadamia graduate:
is able to define data-intensive problems in data science and artificial intelligence and understand their underlying statistical and computational principles.
is able to evaluate the suitability of different machine learning methods for solving a new problem encountered in industry or academia, and apply the methods to the problem.
can effectively interpret the results of a machine learning algorithm, assess its credibility, and communicate the results to experts of other fields.
can implement common machine learning methods and design and implement novel algorithms by modifying the existing approaches.
understands the theoretical foundations of the machine learning field to the extent required to be able to follow research in the field.
understands the opportunities that machine learning offers in data science and artificial intelligence.
What exactly is intelligence, and how does it evolve? What is learning and why has 'learning to learn' become a crucial skill in today’s world? Wanting to find answers to questions as plain and straightforward as these can be enough of a reason for someone to... Read more
What exactly is intelligence, and how does it evolve? What is learning and why has 'learning to learn' become a crucial skill in today’s world? Wanting to find answers to questions as plain and straightforward as these can be enough of a reason for someone to study machine learning, data science and artificial intelligence. Yet these fields also deal with some of the most challenging problems of the 21st century, making the Machine Learning, Data Science and Artificial Intelligence (or “Macadamia”) major at Aalto University an ideal study environment for someone who is motivated to get out of their comfort zone. Be it to find new solutions to tackle climate change or better understand the causes of an epidemic, artificial intelligence, data science and machine learning have an integral part to play.
A Macadamia graduate:
is able to define data-intensive problems in data science and artificial intelligence and understand their underlying statistical and computational principles.
is able to evaluate the suitability of different machine learning methods for solving a new problem encountered in industry or academia, and apply the methods to the problem.
can effectively interpret the results of a machine learning algorithm, assess its credibility, and communicate the results to experts of other fields.
can implement common machine learning methods and design and implement novel algorithms by modifying the existing approaches.
understands the theoretical foundations of the machine learning field to the extent required to be able to follow research in the field.
understands the opportunities that machine learning offers in data science and artificial intelligence.
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
MSc Machine Learning, Data Science & Artificial Intelligence
Otakaari primary campus, Espoo, Finland
# 51-100QS Subject Rankings
24 monthsProgram duration
17,000 EURTuition Fee/year
27 Dec, 2024Application Deadline
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
What exactly is intelligence, and how does it evolve? What is learning and why has 'learning to learn' become a crucial skill in today’s world? Wanting to find answers to questions as plain and straightforward as these can be enough of a reason for someone to...
Read more
What exactly is intelligence, and how does it evolve? What is learning and why has 'learning to learn' become a crucial skill in today’s world? Wanting to find answers to questions as plain and straightforward as these can be enough of a reason for someone to study machine learning, data science and artificial intelligence. Yet these fields also deal with some of the most challenging problems of the 21st century, making the Machine Learning, Data Science and Artificial Intelligence (or “Macadamia”) major at Aalto University an ideal study environment for someone who is motivated to get out of their comfort zone. Be it to find new solutions to tackle climate change or better understand the causes of an epidemic, artificial intelligence, data science and machine learning have an integral part to play.
A Macadamia graduate:
- is able to define data-intensive problems in data science and artificial intelligence and understand their underlying statistical and computational principles.
- is able to evaluate the suitability of different machine learning methods for solving a new problem encountered in industry or academia, and apply the methods to the problem.
- can effectively interpret the results of a machine learning algorithm, assess its credibility, and communicate the results to experts of other fields.
- can implement common machine learning methods and design and implement novel algorithms by modifying the existing approaches.
- understands the theoretical foundations of the machine learning field to the extent required to be able to follow research in the field.
- understands the opportunities that machine learning offers in data science and artificial intelligence.
Read lessProgram overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
What exactly is intelligence, and how does it evolve? What is learning and why has 'learning to learn' become a crucial skill in today’s world? Wanting to find answers to questions as plain and straightforward as these can be enough of a reason for someone to...
Read more
What exactly is intelligence, and how does it evolve? What is learning and why has 'learning to learn' become a crucial skill in today’s world? Wanting to find answers to questions as plain and straightforward as these can be enough of a reason for someone to study machine learning, data science and artificial intelligence. Yet these fields also deal with some of the most challenging problems of the 21st century, making the Machine Learning, Data Science and Artificial Intelligence (or “Macadamia”) major at Aalto University an ideal study environment for someone who is motivated to get out of their comfort zone. Be it to find new solutions to tackle climate change or better understand the causes of an epidemic, artificial intelligence, data science and machine learning have an integral part to play.
A Macadamia graduate:
- is able to define data-intensive problems in data science and artificial intelligence and understand their underlying statistical and computational principles.
- is able to evaluate the suitability of different machine learning methods for solving a new problem encountered in industry or academia, and apply the methods to the problem.
- can effectively interpret the results of a machine learning algorithm, assess its credibility, and communicate the results to experts of other fields.
- can implement common machine learning methods and design and implement novel algorithms by modifying the existing approaches.
- understands the theoretical foundations of the machine learning field to the extent required to be able to follow research in the field.
- understands the opportunities that machine learning offers in data science and artificial intelligence.
Read lessAdmission Requirements
Tuition fees
Domestic Students
International Students
Scholarships
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To help students navigate this challenging process, we recommend the following articles:
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Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
QS subject rankings
Subject: Data Science and Artificial Intelligence
Ranking criteria
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BSc Computational Engineering
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BSc Computer Engineering
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MA Fashion, Clothing and Textile Design
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MA Game Design and Development - Master of Arts
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MA Interior Architecture
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MA International Design Business Management - Master of Arts
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MA Photography
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MA Re:Anima (European Joint Master in Animation)
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MA Visual Communication Design
MA Visual Communication Design
MA Visual Cultures, Curating and Contemporary Art
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MSc Architecture
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MSc Urban Mobility (EIT Urban Mobility)
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MSc Urban Studies and Planning in Real Estate Economics
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Nordic Master in Visual Studies and Art Education
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MSc Business Analytics
MSc Business Analytics
MSc Creative Sustainability - MSc in Economics & Business Administration
MSc Creative Sustainability - MSc in Economics & Business Administration
MSc Economics
MSc Economics
MSc Finance
MSc Finance
MSc Global Management (including CEMS MIM)
MSc Global Management (including CEMS MIM)
MSc Information and Service Management
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MSc Marketing
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MSc People Management and Organizational Development
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MSc Automation and Electrical Engineering
MSc Automation and Electrical Engineering
MSc Biological and Chemical Engineering for Sustainable Bioeconomy (BIOCEB)
MSc Biological and Chemical Engineering for Sustainable Bioeconomy (BIOCEB)
MSc Bioproducts Engineering
MSc Bioproducts Engineering
MSc Biotechnology
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MSc Building Technology
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MSc Chemical and Metallurgical Engineering
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MSc Chemistry and Materials Science
MSc Chemistry and Materials Science
MSc Communications Engineering
MSc Communications Engineering
MSc Communications and Data Science
MSc Communications and Data Science
MSc Computer Science
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MSc Creative Sustainability - Technology
MSc Creative Sustainability - Technology
MSc Electronics and Nanotechnology
MSc Electronics and Nanotechnology
MSc Energy Conversion Processes
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MSc Energy Systems and Markets
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MSc European Mining course (EMC)
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MSc Geoengineering
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MSc Industrial Energy Processes and Sustainability
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MSc Mechanical Engineering
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MA Film and Television - Costume Design: Performing Arts and Film
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MA Film and Television - Documentary Film
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MA Film and Television - Film Directing
MA Film and Television - Film Editing
MA Film and Television - Film Editing
MA Film and Television - Film Sound Design
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MA Film and Television - Screenwriting
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MA New Media
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