Machine Learning, Robotics, and Control (MLRC)

Faculty of Automatic Control and Computer Engineering

Field Study: Computer & Control Engineering

Overview

Master’s studies in Machine Learning, Robotics, and Control (MLRC) are intended for graduates who have basic knowledge from different fields of engineering and wish to deepen their expertise in several research directions. The Machine Learning, Robotics, and Control graduate program has an interdisciplinary curriculum built on engineering branches such as automatic control, applied informatics, computer engineering, robotics, communications, and electronics.

Why study MLRC at TUIASI

Machine Learning Model Selection and Implementation

Selecting and implementing appropriate machine learning models for specific tasks.

Neural Networks and Deep Learning Architectures

Understanding of neural networks and deep learning architectures.

Application of Machine Learning in Robotic System Design

Aptitude for solving real-world problems using robotic system design and machine learning techniques.

Advanced Computer-Assisted Modeling and Simulation

Using advanced methods of computer-assisted modelling, simulation, identification, analysis and design of automatic control systems.

Contribution to Research in Machine Learning, Robotics, and Control

Potential for contributing to research in the fields of machine learning, robotics and control.

Study Experience

This English-language Master’s program is tailored for graduates with a background in automatic control, providing them with the expertise to engage in advanced research and innovation in the fields of machine learning, robotics, and control systems:

Fundamental concepts of machine learning.
Design and implementation of intelligent systems.
Modeling of robotic systems.
Artificial intelligence-based techniques for robotic systems.
Applications in the field of robotics.
Development of algorithms and control structures using programming environments.
Advanced technologies for controlling intelligent systems in the context of Industry 4.0.

The proposed Master program targets the following objectives:

Design, implementation, testing, operation and maintenance of robotic systems.

Machine learning architectures for applications of intelligent systems.

Software applications for implementing control algorithms using programming tools, artificial intelligence techniques and advanced technologies.

The Department of Automation and Applied Informatics offers a Master’s program in Machine Learning, Robotics, and Control, with a curriculum compatible with similar programs in the European Union.

What can you do with this degree?

The graduates of the MLRC master program have competencies suitable for obtaining jobs in companies, academic institutions, and research centers with interest in fields such as artificial intelligence, robotics, automatic control, and applied informatics.

About the Faculty of Automatic Control and Computer Engineering

The mission of the Faculty of Automation Control and Computer Engineering is to promote education and research in the fields of Computers and Information Technology and Systems Engineering through initial training, continuing education, and integration into the
circuit of university values.

The faculty’s fields of activity include the formation and training of high-performance and competent specialists through undergraduate, master’s, and doctoral studies, fundamental and applied scientific research, and postgraduate training and personal development programs.

Ready to join the MLRC

Master's Program?

Find out more about the admission requirements and fees