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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 Fee
Domestic Students
International Students
Scholarships
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
In this guide you will find:
Where to look for scholarship opportunities
How to apply to scholarships relevant to you
A list of available scholarships around the world
A scholarship application checklist
QS subject rankings
Subject: Data Science and Artificial Intelligence
Ranking criteria
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