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Information Technology – Robotics and Artificial Intelligence

Tampere University
2 years
Master's degree
Scholarships available
On campus
Tampere
English
Fall 2021
Tampere University

Program description

Information Technology – Robotics and Artificial Intelligence

Not only do robots need to understand their surroundings, they should also be able to cooperate with humans and even predict human actions. Applicants should hold a Bachelor of Science degree in computer science, mathematics, automation engineering, signal processing, or a related discipline.

Students should be familiar with the basics of programing, digital logic and processors. The recommended prior learning also includes familiarity with machine learning and control engineering.

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Admission requirements

General eligibility

To be eligible to apply to a Master’s degree program at Tampere University, you must have

  1. Bachelor’s degree - nationally recognized first cycle degree
    • which corresponds to at least 180 ECTS (European credits) or to three years of full-time study
    • from relevant field for the Master’s degree program that you’re applying to
    • from an accredited institution of higher education
  2. AND a good command of the English language for academic purposes.

A Bachelor’s degree completed in a university outside Finland must provide eligibility for university-level master’s degree studies in the country in which it was awarded.

Program-specific eligibility criteria

The previous degree should be from a field closely related to the Master's program you are applying to. In the Master’s program in Information Technology the previous degree has to be in one of the following (or highly related) fields:

  • computing, information technology, computer science, electrical engineering, software engineering or other applicable field with proficiency in mathematics, physics and elementary programing skills

For more information about admission requirements, please visit the university website.


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Program content

Compulsory courses

  • Finland start
  • Master's Seminar
  • Introduction to Graduate Studies

Robotics

Major Studies

  • Robot Manipulators: Modeling, Control and programming
  • Mechatronics and Robot programming
  • Fundamentals of Mobile Robots
  • Robotics Project Work

Artifical Intelligence

Major Studies

  • Pattern Recognition and Machine Learning
  • Artificial Intelligence

Scholarships & funding

Several scholarship options are available. Please visit the university website for more information.

Tuition fees

Tuition fee for non-EU/EEA citizens: 12000 € per academic year.

You will not be required to pay the fee if you are:

  • an EU/EEA citizen
  • equivalent to EU/EEA citizen (i.e. citizen of Switzerland)
  • already reside in Finland (a continuous A or a permanent P/P-EU residence permit), or have an EU Blue Card issued in Finland. The exempting residence permit must be valid when you are applying for studies and at least until 1 August i.e. when the study right commences. Please note that a residence permit in another EU/EEA country does not exempt you from the tuition fee.

Qualification

Upon successful completion of the program, students will earn a Master of Science (Technology) degree (120 ECTS).

Learning outcomes

Robotics

  • The graduate from TUT Robotics major will learn scientific and technological challenges and trends in robotic manipulation and mobility.
  • The graduate learns fundamental questions in robotics: perception, cognition and action.
  • When completed successfully, the graduate understands the literature and software tools of robotics, and can realize, tune or adapt them in the her/his specialized domain.
  • Extensive hands-on exercises and projects work in this curriculum will provide the graduate with knowledge and skills to setup a robotic system including hardware and software.
  • The graduate learns to work as a team member in a multi-disciplinary team.
  • The graduate understands the impact of robotics on work and on society, which is the ground for innovativeness.

Artificial Intelligence

  • Student is able to study state-of-the-art in machine learning and signal processing methods and can adopt and adapt these techniques, especially in the robotics application domain. Student is able to design, train and deploy a machine learning model for classification and regression. This module will provide expert-level knowledge on artificial intelligence technologies needed in industry and consumer applications.

Career opportunities

After completing the program, you will be qualified to pursue a wide range of career opportunities in the different fields of technology. The skills of intelligent robot designers are in high demand. A clear benefit of the program is that it combines two vibrant and growing fields of engineering and therefore paves the way for our graduates to pursue a successful career in either domain.

Graduated Masters of Science typically find employment in research, design, development, production and operating tasks, or commercial and administrative tasks relating to the field, without excluding abilities to work as a researcher, teacher or manager. Following the successful completion of the program, our graduates will also be eligible to apply for admission to doctoral programs in Finland or abroad.

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About this institute

Tampere University

Tampere University is one of the most multidisciplinary universities in Finland. Almost all internationally recognised fields of study are represented at our university. Tampere University is a merger of the former University of Tampere and Tampere University of Technology. University...


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Contact info

Tampere University

Kalevantie 4
33100 Tampere
Finland

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www.tuni.fi

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