Full-time Classroom Courses

Master’s in Machine Learning at KTH

December 28, 20190
Name of Course & University Master’s  Programme in Machine Learning, KTH Royal Institute of Technology
Location Stockholm, Sweden
Type of Degree Master’s Programme (Postgraduate)
Course Duration 2 years
Course Fee 310, 000 SEK*

INR 204,480
Mode of Teaching Full-time; Day-time classroom teaching

*1 Swedish Krona (SEK)= INR 7.5

All you Need to Know

Kungliga Tekniska högskolan or KTH for short is Sweden’s largest public-research technical university focusing on engineering and technology. Stated as a jumpstart to a technical career, machine learning is a popular course that has garnered attention lately. The School of Electrical Engineering and Computer Science at KTH offering the Machine Learning programme, studies the mathematical and statistical foundations and techniques of machine learning, combined with artificial intelligence. The QS Global rankings place it at 98, as of 2020.

Duration and Location

Master’s in Machine Learning at KTH is a two-year full-time programme given in English. 

The Master of Science programme in Machine Learning is held primarily at the KTH Campus in Stockholm, by the School of Electrical Engineering and Computer Science. 

The exact address is as below-

Brinellvägen 8, 

114 28 Stockholm, 

Sweden

Details of Master’s in Machine Learning at KTH

Master’s in Machine Learning at KTH is divided into 4 semesters. The programme focuses on teaching the mathematical and statistical foundations and methods of machine learning to the students with the idea of enabling them to model and discover patterns from observations.

The course provides chances of practical learning of how to match, apply and implement relevant machine learning techniques to solve real world problems. The programme starts with compulsory courses in Machine Learning and Artificial Intelligence, followed by an advanced course in machine learning and research methodology.

Post this term, corresponding to the core competencies of a machine learning expert, the students have an option of choosing from two areas namely, application domains within machine learning and theoretical machine learning.

The first group of courses enables students to solve problems in particular application domains such as computer vision, information retrieval, speech and language processing, computational biology and robotics. The second group, on the other hand, provides knowledge of more basic theoretical courses in applied mathematics, statistics, and machine learning.

The final term consists of a degree project in which the students are required to participate in advanced research or design projects in an academic or industrial environment, in Sweden or abroad. This project enables the students to demonstrate their ability to perform projects independently with the help of the skills obtained from the programme.

Fees

The total fee of the course is 310,000 SEK (approximately INR 204,480) and can be paid in installments. The first installment of the tuition fee is 77,500 SEK, which is to be paid by 31st May 2020. 

Scholarship

KTH offers 4 different scholarship opportunities for postgraduate studies. 

  • The first type of scholarship covers the tuition fee of a one or two year master’s programme
  • The second type is the one-year scholarship that covers the tuition fee exclusively for the second year of study. However, the living costs are excluded
  • The third type is the KTH Joint Programme Scholarship focusing on students under joint programmes or exchanges
  • The last type of scholarship, named as The KTH India Scholarship is aimed at Indian students. Established in 2012 by an unknown philanthropist, it gives out 2 scholarships per year. The scholarship covers the full tuition fee of a two-year master’s programme with an additional benefit of monthly living expenses

To be eligible for any of the scholarships, students must apply any time between 1st December 2019 until 15th January 2020.

Eligibility Conditions for Master in ML at KTH

To apply for admission to Master’s in Machine Learning at KTH, one must fulfill the following conditions-

  • An undergraduate degree in Computer Science/Mathematics or equivalent, with excellent academic records
  • Certification of English language in one of the following is mandatory-
    • TOEFL internet-based: Score of 20 (scale 0-30) in written test, a total score of 90
    • TOEFL iBT internet-based: Score of 20 (scale 0-30) in written test, a total score of 90
    • IELTS Academic/IELTS UKVI: A minimum total grade of 6.5, not less than 5.5
    • Cambridge ESOL certification
    • Michigan English Language Assessment Battery (MELAB): Minimum score of 90/ University of Michigan, ECPE (Examination for the Certificate of Proficiency in English)
    • Pearson PTE Academic: Score of 62 (writing 61)
  • Academic transcripts
  • A copy of Passport or any other identification document
  • Letter of Motivation
  • Letter of Recommendation
  • Summary sheet (mandatory)

Admission Process of Master’s in Machine Learning at KTH

Given below are the important application dates for the programme-

  • Application Commencement Date- 16 October 2019
  • Last Date of Application- 15 January 2020
  • Last Date for Submission of Documents- 3 February 2020
  • Declaration of Results- April 2020
  • Commencement of Classes- August 2020

The course also involves an application fee of SEK 900 (INR 6755), which is to be paid before the end of January 2020. 

Career specializations in Machine Learning at KTH

Sweden is known as the home to many technological firsts and hub of IT companies. The Global University Employability Ranking of KTH, as of 2019, is 58. It has a very impressive alumni network spread across globally.

The choice of job profiles after Maters of Science in Machine Learning includes Software Developer and Engineer, Deep Learning Engineer, Computer Vision Engineer, Data Analyst and Scientist, Quantitative Analyst and Systems Engineer.

The following companies are known to visit the campus for placement opportunities for the students every year- 

  • Ericsson
  • SAAB
  • Scania
  • Dice
  • Logitech
  • Google
  • McKinsey

Around 20% of the students pursuing the course got their first jobs post the completion of their degree projects. Armada is the student union career fair that is flocked by around 150 companies each year. Additionally, the vibrant start-up communities and established organizations in AI and Machine Learning in Stockholm tend to offer relevant industrial work to the graduates of the course within the field.

To learn more about the course and the college, you may find more information here. 

Keep following AIMonks to stay updated with information related to Machine learning and more.

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