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Technology Studies

Bringing Clarity & Understanding of Modern Technology

Our two-track program brings clarity and understanding of Artificial Intelligence, Big Data Analytics and Industry 4.0. Teaching students to apply the knowledge gained for successful job placement is our ultimate goal. Don’t be left behind, join our program today.


As the world continues to get smaller, the need for technology-based jobs has increased exponentially. Our engineering program boasts a curriculum that provides a solid foundation for current technological developments where students can choose between software innovation and data science as focus areas. Students have the benefit of an international faculty specialized in Artificial Intelligence, big data analytics, and Industry 4.0.

Students will be fully versed in the analysis, design, and implementation of today’s most recent advanced technological knowledge to prepare them for the explosive job market.

The program is one of the few English language IT programs within Korea, which is one of the most advanced IT countries in the world. With our new 4LAB Research Institute, students will participate in progressive research, focused on Data Science and Artificial Intelligence. Students will be well-prepared for job placement after they graduate.

Our Bachelor of Engineering in Technology Studies offers the two-track specializations, which begin in your Sophomore year. Each major gives our students the potential to gain employment in a variety of fields, from software developer, robotics, and blockchain to big data, finance & banking analyst, and database manager in the IT department.

Program Highlights

  • Specialization in Software Innovation or Data Science
  • Guest speakers provide real world insights to application and technology trends
  • 4LAB Research Institute (global research center focused on data science and AI)
  • International faculty with specializations in AI, big data analytics, and Industry 4.0
  • Korea’s advanced IT industry gives extraordinary chance to study modern applications and technology

Learning Outcomes

  • An understanding of computer hardware & software
  • Critical thinking in problem-solving
  • Relevant programming in a variety of languages
  • Create/maintain a web and mobile app programming system solution
  • Create/design system solutions using computing theory/programming principles

Software Innovation Specialization

  • Utilization of AI technologies/solutions for business scenario applications
  • Use of a range of algorithms for HCI including computer vision/speech recognition
  • Understanding of capabilities/limitations of current HCI technologies and some algorithms

Data Science Specialization

  • Proficiency with statistical analysis and data management
  • Utilization of professional statistical software for business- related data analysis
  • Application of data science concepts/methods to solve problems in real-world contexts and communicate solutions effectively

Career Prospects

  • Software Developer
  • Web Developer
  • Game Developer
  • IoT Architect
  • Robotics Engineer
  • Blockchain Engineer
  • IOS/Android Developer
  • Full-Stack Developer
  • Business Intelligence Developer
  • Data Architect
  • Software Developer
  • Database Management Data Scientist
  • Big Data Analyst
  • Data Engineer
  • Application Specialist using Data Science Knowledge

Specialized Courses


Introduction to Industry 4.0, Freshmen Capstone Project; Research Methodology

IT infrastructure

Introduction to Computing Systems, Data Structure, and Data Bases; Operating Systems; Cloud Platform; Cloud Solution Practice; Blockchain Technology

Logical thinking and SW programming

Logical Thinking and Basic Mathematics; Mathematics for SW Engineering; Algorithms; Object-Oriented Programming; SW Engineering

Data analytics

Introduction to Data Analytics; Principles of Data Science; Big Data Platforms; Advanced Big Data Tools; Introduction To Web Analytics; Advanced Web Analytics

Artificial Intelligence applications

Machine Learning; Deep Learning; Reinforcement Learning; Computer Vision; Natural Language Processing; 3D Modeling and Simulation; Robotics and 3D Printing