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Data Science and Artificial IntelligenceMain Subject Area
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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.
The first year includes four compulsory courses: an introduction to Data science and AI, Nonlinear optimization, Stochastic processes and Bayesian statistics, Applied machine learning, and Design of AI systems. This will give you an introduction and a good foundation for the field. The purely mathematical courses in statistics and optimization are important for data science and AI in several ways and form the mathematical foundations of machine learning. The applied courses will give you a good combination of applied theory and hands-on experiences. The courses will also include considerations of ethical, social and environmental issues.
The only compulsory element in the second year is the Master’s thesis. In addition, you will need to choose a number of compulsory elective courses and you can further choose from a wide range of elective courses. At the end of the programme, you will complete a 30 credit Master’s thesis project, where the acquired knowledge and skills are put into practice.
Through a combination of theory and practice in the courses of the program, you will gain an understanding of how and why certain models and algorithms work and will be able to identify their possibilities and limitations. You will be able to approach a real-world problem in a specific problem domain, combining existing and new methods to create an efficient solution. You will be able to continuously learn in these rapidly evolving fields, communicate with experts and non-experts in specific problem domains and to responsibly apply these technologies. You will also gain the insights to be able to understand and influence the roles of Data Science and AI in society.
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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.
The first year includes four compulsory courses: an introduction to Data science and AI, Nonlinear optimization, Stochastic processes and Bayesian statistics, Applied machine learning, and Design of AI systems. This will give you an introduction and a good foundation for the field. The purely mathematical courses in statistics and optimization are important for data science and AI in several ways and form the mathematical foundations of machine learning. The applied courses will give you a good combination of applied theory and hands-on experiences. The courses will also include considerations of ethical, social and environmental issues.
The only compulsory element in the second year is the Master’s thesis. In addition, you will need to choose a number of compulsory elective courses and you can further choose from a wide range of elective courses. At the end of the programme, you will complete a 30 credit Master’s thesis project, where the acquired knowledge and skills are put into practice.
Through a combination of theory and practice in the courses of the program, you will gain an understanding of how and why certain models and algorithms work and will be able to identify their possibilities and limitations. You will be able to approach a real-world problem in a specific problem domain, combining existing and new methods to create an efficient solution. You will be able to continuously learn in these rapidly evolving fields, communicate with experts and non-experts in specific problem domains and to responsibly apply these technologies. You will also gain the insights to be able to understand and influence the roles of Data Science and AI in society.
Bachelor's degree with a Major in: Engineering, Technology, Science or Mathematics
Prerequisites: Mathematics (at least 30cr., including Multivariable analysis, Linear algebra, and Mathematical statistics), Programming in a General-purpose language (e.g. C/C++/Java/Haskell or similar (at least 7,5 cr.)), and Algorithms and/or Data structures (at least 7,5 cr.)
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
Chalmers University of Technology offers 39Master’sProgrammestaught in English for in the areas of Engineering, Architecture and Technology Management. Over a third of the students enrolled on our Master’s Programmes are international students. Fee-paying students have numerous scholarshipopportunities.
The composition and content of Chalmers’ Masters programmes is strongly linked to the needs of the industry. Prominent multinational companies are regularly consulted and included in the process of developing and improving the Master’s Programmes so as to ensure that students are job-ready upon graduation. It is consequently no surprise that Chalmers ranks high in the QS category Employer Reputation.
Chalmers’ Careers Service helps students find a job in today’s competitive market. In addition to seminars and workshops, students have access to career and job search advice. The Chalmers Careers Service works with many employers, consultants, alumni and other universities in order to help students find job opportunities.
All International Masters students have the option of taking Swedish language course for all Master’s students. The cost of the course is included in the tuition fee.
Application period for Master's programmes starts in Mid October - Mid January every year.
Data Science and AI, MSc
Campus Johanneberg, Gothenburg, Sweden
24 monthsProgram duration
160,000 SEKTuition Fee/year
YesScholarships
Data Science and Artificial IntelligenceMain Subject Area
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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.
The first year includes four compulsory courses: an introduction to Data science and AI, Nonlinear optimization, Stochastic processes and Bayesian statistics, Applied machine learning, and Design of AI systems. This will give you an introduction and a good foundation for the field. The purely mathematical courses in statistics and optimization are important for data science and AI in several ways and form the mathematical foundations of machine learning. The applied courses will give you a good combination of applied theory and hands-on experiences. The courses will also include considerations of ethical, social and environmental issues.
The only compulsory element in the second year is the Master’s thesis. In addition, you will need to choose a number of compulsory elective courses and you can further choose from a wide range of elective courses. At the end of the programme, you will complete a 30 credit Master’s thesis project, where the acquired knowledge and skills are put into practice.
Through a combination of theory and practice in the courses of the program, you will gain an understanding of how and why certain models and algorithms work and will be able to identify their possibilities and limitations. You will be able to approach a real-world problem in a specific problem domain, combining existing and new methods to create an efficient solution. You will be able to continuously learn in these rapidly evolving fields, communicate with experts and non-experts in specific problem domains and to responsibly apply these technologies. You will also gain the insights to be able to understand and influence the roles of Data Science and AI in society.
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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.
The first year includes four compulsory courses: an introduction to Data science and AI, Nonlinear optimization, Stochastic processes and Bayesian statistics, Applied machine learning, and Design of AI systems. This will give you an introduction and a good foundation for the field. The purely mathematical courses in statistics and optimization are important for data science and AI in several ways and form the mathematical foundations of machine learning. The applied courses will give you a good combination of applied theory and hands-on experiences. The courses will also include considerations of ethical, social and environmental issues.
The only compulsory element in the second year is the Master’s thesis. In addition, you will need to choose a number of compulsory elective courses and you can further choose from a wide range of elective courses. At the end of the programme, you will complete a 30 credit Master’s thesis project, where the acquired knowledge and skills are put into practice.
Through a combination of theory and practice in the courses of the program, you will gain an understanding of how and why certain models and algorithms work and will be able to identify their possibilities and limitations. You will be able to approach a real-world problem in a specific problem domain, combining existing and new methods to create an efficient solution. You will be able to continuously learn in these rapidly evolving fields, communicate with experts and non-experts in specific problem domains and to responsibly apply these technologies. You will also gain the insights to be able to understand and influence the roles of Data Science and AI in society.
Admission requirements
Exam Scores
Important Dates
Tuition fee and scholarships
Tuition Fee
Scholarships
Domestic Students
International Students
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
In this guide you will find:
Where to look for scholarship opportunities
How to apply to scholarships relevant to you
A list of available scholarships around the world
A scholarship application checklist
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Chalmers University of Technology offers 39 Master’s Programmes taught in English for in the areas of Engineering, Architecture and Technology Management. Over a third of the students enrolled on our Master’s Programmes are international students. Fee-paying students have numerous scholarship opportunities.
The composition and content of Chalmers’ Masters programmes is strongly linked to the needs of the industry. Prominent multinational companies are regularly consulted and included in the process of developing and improving the Master’s Programmes so as to ensure that students are job-ready upon graduation. It is consequently no surprise that Chalmers ranks high in the QS category Employer Reputation.
Chalmers’ Careers Service helps students find a job in today’s competitive market. In addition to seminars and workshops, students have access to career and job search advice. The Chalmers Careers Service works with many employers, consultants, alumni and other universities in order to help students find job opportunities.
All International Masters students have the option of taking Swedish language course for all Master’s students. The cost of the course is included in the tuition fee.
Application period for Master's programmes starts in Mid October - Mid January every year.
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