MSc Machine Learning, Data Science & Artificial Intelligence 24 months Postgraduate Program By Aalto University |Top Universities
Subject Ranking

# 51-100QS Subject Rankings

Program Duration

24 monthsProgram duration

Tuitionfee

17,000 EURTuition Fee/year

Application Deadline

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 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.

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 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.

Admission Requirements

Eligibility: Relevant Bachelor's degree

27 Dec 2024
2 Years
Sep

Tuition fees

International
17,000 EUR

Scholarships

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:

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