IT Convergence Engineering

The Department of IT Convergence Engineering at POSTECH (Pohang University of Science and Technology) is a forward-thinking program designed to prepare students for the rapidly evolving world of information technology and digital innovation. The curriculum emphasizes the integration of hardware and software, fostering a comprehensive understanding of modern computing systems, data communication, and emerging technologies. Students are exposed to a multidisciplinary approach that combines electronics, computer science, and information systems, enabling them to develop innovative solutions for complex problems across various industries.

Throughout the program, students engage in rigorous coursework covering topics such as computer architecture, embedded systems, artificial intelligence, machine learning, data analytics, cybersecurity, and internet of things (IoT). The program also offers hands-on laboratory experiences and project-based learning environments, encouraging practical skills and real-world application. Students work on team projects, internships, and collaborations with industry partners, which enhance their problem-solving abilities, teamwork, and communication skills.

The department places a strong emphasis on research and innovation, providing opportunities for students to participate in cutting-edge research projects, contribute to technological advancements, and publish their findings. Faculty members are renowned experts in their fields, actively involved in research that spans areas such as robotics, big data, cloud computing, and smart systems. The program aims to cultivate engineers who are capable of leading the development of next-generation information technology solutions.

Graduates of the IT Convergence Engineering program are well-equipped to pursue careers in high-tech industries, research institutions, and startups, or to continue their education through advanced degrees. The curriculum’s unique focus on convergence technology ensures that students are prepared to adapt to fast-changing technological landscapes and to contribute meaningfully to the digital economy. By integrating theoretical knowledge with practical experience, the program strives to produce innovative engineers capable of creating impactful, sustainable technological solutions for the future.

The Division of IT Convergence Engineering offers 4 tracks in order to maximize the effects of interdisciplinary education, (1) Autonomics, (2) Communications & Networks, (3) Nano Sensors & Systems, (4) Biotechnology. To maximize the educational benefits for students from various backgrounds, the students must take an “Introduction to IT Convergence Engineering”  module to get a basic understanding of the 4 different tracks. The electives are not limited to one track. To understand the convergence of research fields, students in  the M.S. & Ph.D combined course and the Ph.D. course must take more than 1 elective in other 3tracks.

[Track 1] Autonomics 

Based on theory and technology in computer networks, software engineering and machine learning, this course aims to give students an understanding of the knowledge and technology needed in order to create large autonomous system with the leastpossible participation of human beings. Education and research in the areas including knowledge representation, sensor network communications, analysis using nano sensors, biotechnology based data, system security and design of architecture will be covered.

[Track 2] Communications & Networks

 The goal of the Communications and Networks track is to train students to understand the basic concepts and advanced theory of the Communications and Networks area and employ them for various applications. It includes novel modulation/encoding/decoding/demodulation schemes for high-speed multi-antennasystems, the analysis of networking protocols for secure data transport over wireless and wired networks and, the optimization of network control algorithms.

[Track 3] Nano Sensors & Systems 

This theme uses research and technology development in nanoscience, nanotechnology and nanoengineering to create novel sensing, electronic, mechanical and fluidic components for low-cost, integrated and miniaturized systems to prepare for existing as well as future needs in the U-Health and U-Environment. It builds on solid courses in education and research using information technology, nano and bio-nano areas and related fields such as ultra-low power wireless transceivers, "intelligent" signal processing hardware and software, novel memory architectures and biosensing systems that will be incorporated into prototypical autonomic systems for U-Health and the U-Environment.

[Track 4] Biotechnology

This course focuses on gaining an the understanding of biological structures and system including signal transduction in a cell, cell division and, genetic expression that are the basic fundamentals used in ubiquitous healthcare systems. Specifically, the course aims to help to understand various the phenomena uncovered by research on biochemical processes from a molecular level to a system level, map forming and memory and to develop and use mathematical methods, to interpret and examine them. 

Mandotory

• Introduction to IT Convergence Engineering
• Applications of IT Convergence

Electives Autonomics

• Autonomic Systems
• Ontologies and Semantic Reasoning
• Information and Data Modelling
• Machine Learning
• Probabilistic Graphical Models
• Distributed Processing
• Wireless Network Security
• Self-Protection System
• Graphical Models
• Network and Service Management
• Knowledge Representation, Reasoning and Inferencing
• Advanced Semantic Reasoning and Applications
• Special Topics in Autonomics

Electives Communications & Networks

• Introduction to Random Variable and Process
• Statistical Communication Theory
• Personal Area Networks
• Advanced Computer Networks
• Mobile Networks
• Multimedia Networking
• Estimation Theory
• Robust Control
• Special Topics in Communications & Networks

Electives Nano sensors & Systems

• Introduction to Nano Technology
• Nano Electronics
• Microwave Active Circuits
• RFIC Design
• Analog Integrated Circuits
• Digital Integrated Circuits
• Semiconductor Electronics
• Low Power Integrated Circuits
• Semiconductor Theory
• Advanced Nano Devices
• CMOS Circuits for Sensor Interface
• Nano Bio Sensor Engineering
• Sensor Technology
• Special Topics in Nano Sensors & Systems

Electives Biotechnology

• Bioinformatics
• Advanced Biochemistry
• Biology of Aging
• Frontiers of Interdisciplinary Biosciences
• Advanced Bioengineering
• Advanced Developmental Biology
• Advanced Molecular Genetics
• Special Topics in Biotechnology

Mandatory for Research

• Seminars in IT Convergence Engineering
• Master Thesis Research

Requirements

• Applicants must fill out the online application.
• Personal Statement and Research Plan - Download format from the website: http://admission.postech.ac.kr/linkUsen.do?f=sub3-2
• Curriculum Vitae (Free style personal resume)
• Copy of Passport
• Signed Consent Form - Download format from the website: http://admission.postech.ac.kr/linkUsen.do?f=sub3-2
• List of Honors and Awards (optional) - Applicants who have received any honors, awards, or fellowships during their undergraduate or graduate studies may list them in the order of importance.
• Application fee: 80 USD or 80,000 KRW
• Official Transcript(s)
• Degree Certificate(s)
• Recommendation Letters - From two recommenders (academic faculty) - Must be e-mailed or sent by post directly by each recommender, enclosed in a sealed envelope.
• Score Report of English Proficiency Test - The official TOEFL/IELTS Score Report issued by ETS/British Council can be sent to POSTECH Graduate Admissions and Student Affairs directly by requesting it at the ETS/ British Council website. Applicants must enter POSTECH’s institution code (0329) in order for ETS to send the official score report to our office. - TOEFL ITP organized only by POSTECH is accepted
• Degree Theses (option

Scholarships

• Korean Government Scholarship Program (KGSP)
• Global Education
• POSCO Asia Fellowship
• SK hynix Fellowship
• POSTECH Teaching or Research Assistantship
• POSTECH Fellowship for Excellent International Students(PFES)
• POSTECH Settlement Allowance for New International Students

The program of IT Convergence Engineering at Pohang University of Science and Technology (POSTECH) is designed to prepare students for the rapidly evolving technology landscape where information technology intersects with various engineering disciplines. This program emphasizes a multidisciplinary approach, integrating principles from computer science, electrical engineering, and mechanical engineering to foster innovative solutions for complex technological challenges. Students gain a comprehensive understanding of software development, hardware design, data analytics, and system integration, equipping them with the skills necessary to advance fields such as IoT, artificial intelligence, and cyber-physical systems.

The curriculum typically includes core courses in programming, algorithms, digital circuit design, signal processing, and networking, along with specialized electives in robotics, embedded systems, machine learning, and big data analytics. Practical training is a core component, with numerous laboratory courses, project-based learning, and internship opportunities that allow students to apply theoretical knowledge to real-world problems. The program also promotes interdisciplinary research collaborations, encouraging students to work on innovative projects that combine aspects of electronics, software, and hardware systems.

Faculty members are experts from various fields dedicated to fostering a stimulating learning environment. They often engage students in cutting-edge research, technology innovation, and entrepreneurship initiatives. The university's strong industry partnerships facilitate internships and job placements, enabling students to gain valuable industry insights and experience. Post-graduates of IT Convergence Engineering are well-prepared for careers in information technology companies, electronics firms, research institutions, or further academic pursuits. The program aims to cultivate creative, analytical, and practical skills, preparing graduates to lead advancements in the convergence of information technology and traditional engineering domains.