Machine Learning in the Informatics Engineering master program addresses an in-depth understanding of algorithms, techniques, and fundamental concepts in the field of machine learning. Students are focused on developing models and algorithms that allow computer systems to learn from data, identify patterns, and make predictions or decisions without having to be explicitly programmed. Students study various machine learning approaches such as supervised learning, unsupervised learning, reinforcement learning, and deep learning. They also understand important concepts such as model evaluation, handling imbalanced data, and interpretation of results. The Machine Learning discipline group plays an important role in anticipating and solving real-world challenges with the help of technology. Students will master skills that are highly sought after in current and future industries. The ability to apply machine learning well and understand the core of artificial intelligence opens up vast opportunities to contribute to research, product development, and innovation in various fields of technology.

Internet of Things (IoT) in Informatics Engineering master program focuses on the in-depth study of connectivity and integration of devices and systems in the real world through the internet. This includes sensors, smart devices, wearables, autonomous vehicles, and smart infrastructure that can communicate and interact to enable innovative solutions in various domains. Students learn about the architecture, protocols, security, and underlying technologies of IoT. They also understand how to process, analyze, and use data generated by millions of connected devices to make efficient decisions and support innovation. Another important aspect is energy and power management, as IoT often involves low-powered devices that must operate efficiently over long periods of time. The Internet of Things scientific group plays a key role in preparing students to become future innovators and leaders in an increasingly connected era. Integrating high technology with everyday life is an important challenge, and the ability to understand, manage, and utilize IoT is a valuable asset on the road to a smarter, more connected society.

Cyber Security in the Informatics Engineering master program is a very critical and important focus of study in this digital era. It focuses on understanding, preventing, detecting, and responding to security threats in the cyber world. Students in this scientific group study various aspects of computer and network security, including security engineering, infrastructure security, software security, and information security. Important aspects of this study include risk analysis, encryption, digital identity management, digital forensics, and network security. Students learn about cyber attacks such as hacking, malware, phishing, and denial of service (DoS), as well as techniques to protect systems and data from these attacks. One of the main goals of this discipline group is to train competent and skilled security experts who can protect organizations and society from evolving cyber threats. They also understand and comply with applicable security regulations and standards, and develop effective security strategies and policies. Expertise in cybersecurity is essential given the technological advancements and high level of interconnection in today's world. The Cyber Security discipline group plays a vital role in preparing competent security experts to address future cybersecurity challenges and protect the integrity of systems, data and critical infrastructure.