Chalmers University of Technology Programs: Tuition fees, Ranking, Scholarships, Application Deadlines & Entry Requirements

Master of Science [M.S] [Data Science and AI] From Chalmers University of Technology

Gothenburg, BohuslanLocation
UniversitySchool type
Estd1829established year
9257enrollment
Public
7.3/10

Master of Science [M.S] (Data Science and AI)

2 years
Full Time
On Campus

$14,400 /Yr

kr160,000 /Yr
3 Students Applied
1 Students Admitted

Data science is a highly cross-disciplinary field concerned with how to extract useful knowledge from data and is based on a blend of methods in statistics and machine learning, together with computational techniques and algorithms to handle large-scale data.?

AI is about building intelligent autonomous systems and is, thanks to recent advances in machine learning with large-scale data, a rapidly evolving field.?

Through their use of large-scale data and machine learning, the fields of Data Science and AI are closely connected. They are also connected in their application since it is common to first collect and analyze data to better understand the problem, and then to build algorithms and systems for decision support and autonomous decision-making.

The aim of?Data Science programme offered at?Chalmers University of Technology

The overall aim of the programme is to educate engineers who can undertake a wide variety of challenges in handling and analyzing different kinds of data, and who are able to use and develop software in complex data-intensive and AI-related applications. This requires a good understanding of both theory and practice, including the possibilities and limitations of existing and evolving technologies, and how to responsibly apply these in various situations.

The courses of the programme will provide a solid foundation in machine learning, statistics and optimization, with an in-depth understanding of the mathematical modelling techniques used for extracting information from large sets of complex data, and with the computational skills and algorithms for working with such data. You will also gain familiarity with a range of common problems within Data Science and AI which can be solved with such techniques.

Career opportunities

There is a huge demand for engineers with a solid foundation in Data Science and AI, and as the computational power and the amount of data available rapidly increases, the need will only continue to grow. Upon graduation you can pursue a wide range of career opportunities in software development and applying data science and AI in academia, industry and government.?


Important Dates

EventApplication Date
Application Deadline Jan 15, 2025

Tuition Fees

Year1st Year Fees
Tuition Fees$14400 (SEK 160000)

Eligibility & Entry Requirement

Academic Requirements:

  • Applicants must have completed a bachelors degree in science, engineering, technology or architecture from an accredited university
  • Submit official transcripts of all previous education completed
  • Applicants must have minimum 70% in bachelors degree
  • Submit a course description for each course 
  • Submit your resume
  • Submit a letter of intent 
  • Submit letters of recommendation (optional)
  • Submit English Language Proficiency test scores

English Language Requirements:

  • Swedish Upper Secondary English 6

Scores Required

100 / 120

Avg. Score in

TOEFL

7 / 9

Avg. Score in

IELTS

Scholarship Grants & Financial Aids

NameScholarship Per StudentLevel of StudyType
Axol Science ScholarshipScholarship per student$ 180/Yr$2,000Level Of StudyBachelorTypeCompany-Sponsored
ASID Foundation Legacy ScholarshipsScholarship per student$ 360/Yr$4,000Level Of StudyBachelorTypeMerit-Based
Kristianstad University ScholarshipScholarship per studentVariable AmountLevel Of StudyBachelorTypeCollege-Specific
KTH ScholarshipScholarship per studentVariable AmountLevel Of StudyMasterTypeCompany-Sponsored
Visby Program Scholarship for Master's StudiesScholarship per studentVariable AmountLevel Of StudyMasterTypeMerit-Based
Halmstad University ScholarshipScholarship per studentVariable AmountLevel Of StudyMasterTypeCollege-Specific

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