Master of Science in Machine Learning
at KTH Royal Institute of Technology, Stockholm

3.9 /5

(2 Reviews)

A Shiksha Grade
Public Institute
School of Electrical Engineering and Computer Science

Master of Science in Machine Learning
at
KTH
Overview

This course is offered by School of Electrical Engineering and Computer Science department of the university. KTH offers a 2 years long Master of Science in Machine Learning course. The tuition fees to pursue this program is SEK 171000.0. English language proficiency test accepted for admission to KTH Master of Science in Machine Learning are IELTS, TOEFL, and PTE.

Duration	2 years
Course Level	PG Degree
Mode of Course	Full Time
International Students Admission Website	Go to Website
Tuition & Fees	₹13.13 Lakh View full breakup
Type of University	Public
Official Career Service Website	Go to Website

Master of Science in Machine Learning
at
KTH
Highlights

Machine Learning develops algorithms to find patterns or make predictions from empirical data and this master's program will teach students to master these skills
Machine Learning is increasingly used by many professions and industries such as manufacturing, retail, medicine, finance, robotics, telecommunications and social media
Graduates from the program will be experts in the field, qualified for exciting careers in industry or doctoral studies
Students will learn the mathematical and statistical foundations and methods for machine learning with the goal of modelling and discovering patterns from observations
Students will also gain practical experience of how to match, apply and implement relevant machine learning techniques to solve real-world problems in a broad range of application domains
Upon graduation from the program, students will have gained the confidence and experience to propose tractable solutions to potentially non-standard learning problems which they can implement efficiently and robustly

Master of Science in Machine Learning
at
KTH
Curriculum

Latest curriculum for Master of Science in Machine Learning at KTH can be downloaded from the below link. The curriculum PDF has semester wise course structure, electives and detailed course content. You can also check course curriculum of other specializations offered in MS at KTH

Master of Science in Machine Learning
at
KTH
Rankings

Course Ranking

University Ranking

Rank	Rank Publisher
#20	Mechanical Aeronautical and Manufacturing Engineering QS, 2024
#39	Engineering THE (Times Higher Education), 2024
#37	Mathematics ARWU (Shanghai Ranking), 2023

View All Rankings

Master of Science in Machine Learning
at
KTH
Entry Requirements

Requirements for 12th grade Lock Icon

No specific cutoff mentioned

Graduation Lock Icon

No specific cutoff mentioned
A bachelor's degree or comparable qualification equivalent to a Swedish bachelor's degree from an internationally recognised university is required

Students following longer programmes that have completed courses equivalent to a bachelor's degree are considered on a case-by-case basis

A Bachelor’s degree, or equivalent, corresponding to 180 ECTS credits, with a level in Mathematics and Computer Science equal to, or higher than, that of the following courses at KTH:

Algebra and geometry

Calculus in one variable

Calculus in several variables

Probability Theory and Statistics

Programming

Algorithms and Data Structures
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3 year degree accepted Lock Icon

N/A
For entry to a master's programme, the minimum requirement is a 3-year Bachelor's degree with honours, 4-year Bachelor's degree, or a Bachelor's degree followed by a Master's degree (4 years of study in total)

TOEFL

No specific cutoff mentioned
With a minimum writing score of 20

PTE

No specific cutoff mentioned
With a minimum writing score of 61

IELTS

No specific cutoff mentioned
With no section lower than 5.5

Get a Full FREE IELTS Prep Course with Shiksha Study Abroad – Limited Seats for Weekend & Weekday Batches! Register now for IELTS
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Conditional Offer Lock Icon

Not mentioned

Which exams out of the above do I need to give?

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Master of Science in Machine Learning
at
KTH
Application Process

Step one

Prepare documents for application

LOR

The two letters of recommendations explicitly describe why you would be the right choice for admission to the programme
If possible, have one referee who knows you from an academic environment and one from a professional setting. The letters must have the referees' full contact details

KTH does not require a standard template, but the CV should clearly and concisely outline your education, work experience, computer literacy, qualifications and achievements (awards, publications, expertise knowledge and skills, etc.). It must be written in English

Step two

Additional documents required

Certificates and diplomas of your completed degree(s)
Transcript of completed courses and grades included in your degree
Proof of English proficiency
A copy of passport with personal data and photograph, or other identification document
Letter of motivation: The letter of motivation explains why you have chosen this programme at KTH, what you hope to gain from it and how your interests and skills will help you succeed in your studies. Include an autobiography with the development and relevance of your academic and professional pursuits, extra-curricular activities and related experiences (Not more than 500 words)
Submit the summary sheet for Machine Learning
The selection process is based on the following criteria: Grades from previous study and particularly in subjects relevant to the programme, Motivation for studies (awards, prizes, publications and letters of motivation) and Prior education

Step three

Start your online application

https://www.universityadmissions.se/en/apply-to-masters/

Step four

Application fees for this course

SEK 900 = INR 6.91 Thousand

Mode of payment: Credit card

Step five

Application deadline

Fall (Aug 2024): 15th Jan

*The dates specified are tentative dates as per the previous year records. Our expert counselors can help with exact deadline date. Connect with the expert now!

Master of Science in Machine Learning
at
KTH
Fees

1st year tuition fees

Fees components	Amount (for 1 year)
Tuition & fees	INR 13,13,280

Other expenses in 1st Year

Fees components	Amount (for 1 year)
Transportation	INR 59,904
Phone/internet	INR 27,648
Total approximate fees	INR 87,552

Calculated at the exchange rate of 1 SEK = INR 7.68 | Tuition & expenses were last updated on 5ᵗʰ November 2024

Master of Science in Machine Learning
at
KTH

Scholarships

View all 28 scholarships

KTH Royal Institute of Technology
Students Ratings & Reviews

3.9/5

1 Verified Review Info Icon

Vibe of Campus

Multi-dimensional

Student Views

50% students never faced discrimination in this university

Internships4

Part time work2

Post study jobs4

Quality of faculty4

Student Life5

Value for money4

Public transportation5

Safety5

Indian Food2

Permanent Immigration4

Tanima Sharma Verified Icon

MSc Renewable Energy (EIT InnoEnergy) - Batch of 2022

Offered by KTH Royal Institute of Technology

3.9

Sustainability and Innovation are at the core of KTH Royal Institute.

Tips: It's a beautiful city, the English language is spoken here in contrast to other European countries. There is more system based approach to teaching rather than pure science. Very accommodating for international students, a great platform for meeting people and pushing innovations. However, weather, the cold, and short/ long days can be very difficult to adjust to initially.

Reviewed on 20 Jan 2023Read more

Anonymous

MSc Smart Electrical Networks and Systems (EIT InnoEnergy) - Batch of 2022

Offered by KTH Royal Institute of Technology

3.9

Marvelous research based university.

Tips: Students should know that the knowledge level transition is very significant. There are no scholarships. Overall, I am very much satisfied with the university course but the director's reach is very slow and sometimes not guiding well and it is very casual especially since the MSc SENSE course planning was not that good but the courses are very good with the professor's knowledge.

Likes (Safety): I felt safe on campus because everything was well organized, and there was support from student organizations. Sweden is a good country that is well-developed. However, the university did not provide any dedicated safety guides, assuming that students could handle themselves.

Dislikes (Internships): Sometimes it is very difficult to find internships and no guidance is given for the internships. There are no webinars regarding the internships. We need to search for internships. Sometimes professors can be impressed and can get the opportunity.

Reviewed on 3 Sep 2024Read more

View All 2 Reviews