24 monthsProgramme duration
17,000 EURTuition Fee/year
SepStarting Month
Programme 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 study machine learning, data science and artificial intelligence. Yet, these fields also deal with some of the most challenging problems of the 21st century. This makes the Machine Learning, Data Science and Artificial Intelligence (or “Macadamia”) major at Aalto University an ideal study environment for talented students who look for a challenging study option and are motivated to get out of their comfort zone. Whether finding new solutions to tackle climate change or to better understand the causes of epidemics, artificial intelligence, data science and machine learning play a role.
A Macadamia graduate:
is able to formalize data-intensive problems in data science and artificial intelligence in terms of the underlying statistical and computational principles. is able to select and apply a suitable machine learning method to solve aproblem in industry or academia and apply the methods to the problem. can interpret the results of a machine learning method, assess their credibility, and communicate the results to experts from different fields. can implement state-of-the-art machine learning methods, and design and implement novel methods by modifying existing approaches. understands the theoretical foundations of the machine learning field to the extent of being able to follow research in the field. is familiar with ethical principles and techniques intended to inform the development and responsible use of artificial intelligence.
A Macadamia graduate:
is able to formalize data-intensive problems in data science and artificial intelligence in terms of the underlying statistical and computational principles. is able to select and apply a suitable machine learning method to solve aproblem in industry or academia and apply the methods to the problem. can interpret the results of a machine learning method, assess their credibility, and communicate the results to experts from different fields. can implement state-of-the-art machine learning methods, and design and implement novel methods by modifying existing approaches. understands the theoretical foundations of the machine learning field to the extent of being able to follow research in the field. is familiar with ethical principles and techniques intended to inform the development and responsible use of artificial intelligence.
Programme 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 study machine learning, data science and artificial intelligence. Yet, these fields also deal with some of the most challenging problems of the 21st century. This makes the Machine Learning, Data Science and Artificial Intelligence (or “Macadamia”) major at Aalto University an ideal study environment for talented students who look for a challenging study option and are motivated to get out of their comfort zone. Whether finding new solutions to tackle climate change or to better understand the causes of epidemics, artificial intelligence, data science and machine learning play a role.
A Macadamia graduate:
is able to formalize data-intensive problems in data science and artificial intelligence in terms of the underlying statistical and computational principles. is able to select and apply a suitable machine learning method to solve aproblem in industry or academia and apply the methods to the problem. can interpret the results of a machine learning method, assess their credibility, and communicate the results to experts from different fields. can implement state-of-the-art machine learning methods, and design and implement novel methods by modifying existing approaches. understands the theoretical foundations of the machine learning field to the extent of being able to follow research in the field. is familiar with ethical principles and techniques intended to inform the development and responsible use of artificial intelligence.
A Macadamia graduate:
is able to formalize data-intensive problems in data science and artificial intelligence in terms of the underlying statistical and computational principles. is able to select and apply a suitable machine learning method to solve aproblem in industry or academia and apply the methods to the problem. can interpret the results of a machine learning method, assess their credibility, and communicate the results to experts from different fields. can implement state-of-the-art machine learning methods, and design and implement novel methods by modifying existing approaches. understands the theoretical foundations of the machine learning field to the extent of being able to follow research in the field. is familiar with ethical principles and techniques intended to inform the development and responsible use of artificial intelligence.
Admission Requirements
6.5+
68+
4.5+
Eligibility: Relevant Bachelor's degree
2 Years
Sep
Tuition fees
International
17,000 EUR
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