| 글로벌IT컨버전스학과
| 글로벌IT컨버전스학과
[01811] 서울 노원구 공릉로 232 서울과학기술대학교
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INTRODUCTION
CURRICULUM
ACADEMICS
NOTICE
Introduction
The Department of Global IT Convergence offers a cutting-edge undergraduate program that combines the foundational principles of computer science with specialized training in Artificial Intelligence (AI) and Robotics. Our curriculum is designed to equip students with both theoretical knowledge and hands-on experience, enabling them to design, build, and analyze intelligent systems that interact with the real world.
From the first year, students gain proficiency in programming, data structures, and mathematical reasoning, while gradually advancing into state-of-the-art topics such as machine learning, computer vision, natural language processing, autonomous robotics, and deep learning. Practical labs, research opportunities, and industry-focused capstone projects prepare graduates for the fast-evolving AI and robotics landscape.
1. ICT Software Developer across Diverse Domains
Equipped with strong foundations in programming, systems design, and software engineering, graduates can contribute to software development in fields such as web services, mobile applications, cloud platforms, and enterprise systems.
2. AI Algorithm Designer and Applied Researcher
With expertise in machine learning, deep learning, and data-driven modeling, students are prepared to develop intelligent systems, conduct applied AI research, and contribute to areas such as natural language processing, computer vision, and predictive analytics.
3. Intelligent Robotics Engineer
Graduates can design, program, and deploy autonomous robotic systems for industries such as manufacturing, logistics, healthcare, and service robotics, integrating sensors, AI, and control algorithms through platforms like ROS.
4. Creative and Innovative Tech Entrepreneur
Combining technical proficiency with entrepreneurship training, students are capable of launching startups in the fields of AI, robotics, IoT, or smart applications—transforming innovative ideas into real-world impact.
5. Postgraduate Researcher in Advanced Computing Fields
Many graduates pursue master’s or doctoral degrees in computer science, artificial intelligence, robotics, or interdisciplinary areas, contributing to cutting-edge academic research and innovation.
