MSc Machine Learning 24 months Postgraduate Program By KTH Royal Institute of Technology |Top Universities
Subject Ranking

# 69QS Subject Rankings

Program Duration

24 monthsProgram duration

Tuitionfee

360,000 SEKTuition Fee/year

Application Deadline

15 Jan, 2024Application Deadline

Program overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Machine Learning develops algorithms to find patterns or make predictions from empirical data and this programme will teach you to master these skills. Machine Learning is increasingly used by many professions and industries such as manufacturing, retail,...
Read more

Program overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Machine Learning develops algorithms to find patterns or make predictions from empirical data and this programme will teach you to master these skills. Machine Learning is increasingly used by many professions and industries such as manufacturing, retail,...
Read more

Admission Requirements

6.5+
180+
62+
90+
To be eligible for a master's programme at KTH, you must have a bachelor's degree from an internationally recognised university and English language proficiency equivalent to the Swedish upper secondary course English 6. In addition, you need to meet the specific requirements for the programme you apply for, described fully on the KTH website.

15 Jan 2024
2 Years
Aug

Tuition fees

Domestic Students

-
-

International Students

360,000 SEK
-

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:

QS subject rankings

Subject: Computer Science and Information Systems

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  • 2013
    #51-100
  • 2014
    #51-100
  • 2015
    #51-100
  • 2016
    #51-100
  • 2017
    #51-100
  • 2018
    #51-100
  • 2019
    #41
  • 2020
    #43
  • 2021
    #42
  • 2022
    #54
  • 2023
    #62
  • 2024
    #60
  • 2025
    #69

Ranking criteria

Overall
72.1
Academic Reputation
68.3
Citations per Paper
82.6
Employer Reputation
68.7
H-index Citations
76.4
International Research Network
85.8

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