Educational goals and ideal talent

As a pioneer of computer education in Korea, the department of computer engineering aims to nurture IT experts who will lead the knowledge and information society with the following talents:

1. Foundational and theoretical knowledge of computer engineering, creative and engineering thinking skills

2. Ability to design and implement systems for the overall IT field

3. Cooperative spirit and smooth communication skills required for collaborative and cooperative work

4. Ethics, lifelong learning ability, and language skills that computer engineering technicians must possess in the global information society

Recent academic trends and prospect

Computer engineering is the core of IT, a high-tech discipline that leads the information age. It is a highly demanded field today and will remain so in the future as almost all industries as well as our daily lives are related to computers.
In computer engineering, the computer system field studies technologies for running and communicating with computers, such as computer structures, operating systems, embedded systems, and computer networks. The computer software field studies theories and tools to develop efficient software such as programming languages, symbolic operations, computer algorithms, and software engineering. Based on this research, the computer application field deals with databases, computer graphics, artificial intelligence, robotics, and ubiquitous computing. New technologies and theories are developing at a remarkable rate in each area.
Recently, computer-related technologies have developed new technologies in combination with various cutting-edge technologies such as BT and NT. The role of computer engineering as a fundamental technology to improve the quality of life and convenience in diverse areas such as the Internet, telecommunications, medicine, and cultural content industries is expected to expand.

Career prospect

Dongguk University's computer engineering department has produced over 4,500 graduates since the establishment of the electronic computing department in 1971, and it has led IT development in various sectors such as industries, research institutes, and academia. Recent graduates are hired in conglomerates, companies specializing in IT, financial sectors, and public institutions. Many graduates also have sought higher degrees in graduate school or are studying abroad.
Computer engineering majors can become developers or managers such as software engineers, computer system engineers, database managers, and network managers in industries or take researcher, planner, and manager positions in research institutes, public institutions, and financial institutions. Graduates may also become professional researchers or professors after acquiring master's and doctoral degrees in graduate school. The demand for IT professionals is increasing in general industries and research institutes, including AI and big data experts. Computer engineering graduates are expected to be considered high-quality human resources as society develops. The following five categories are the main career paths of computer engineering students after graduation:

• Employment as a developer and manager of software, AI, and big data technology in IT-related conglomerates, SMEs, and professional IT companies
• Employment as an IT expert, such as an information processing technician, information system supervisor, and computer security expert
• Employment in the financial industry, research institutes, public institutions, etc.
• Employment as a university professor or researcher at an institution after obtaining a master's and doctoral degree in computer engineering
• Employment as a computer teacher in middle and high schools after completing the course in teaching

Educational goals and ideal talent

Recently, the Fourth Industrial Revolution has been promoting changes in the industrial topography and socioeconomic paradigm. It has also led to technological innovations in AI, graphics, game engineering, video analysis, computer vision, virtual reality, augmented reality, and the Internet of Things. Multimedia software engineering is an essential and critical discipline in developing related technologies. It is an extensive and complex discipline that deals with related matters in scientific and engineering aspects in processing information using computing devices. Based on fundamental engineering and scientific knowledge, the multimedia software engineering major is mainly concerned with research on software design and development, graphics, data analysis, AI, algorithms, game engineering, video processing, and computer vision.

Industries related to multimedia software engineering are being intensively supported and fostered nationally. The demand for high-quality professionals in multimedia software engineering is rapidly increasing. To meet this demand, Dongguk University's multimedia software engineering department strives to be the center of human resource training that combines related theories and technologies. Therefore, the multimedia software engineering department aims to educate theory, technology, and practical experience to let students be the pillar of this era, contributing to the development of new digital technology with an engineering-based creative developmental ability and leadership quality to develop multimedia software and systems.

Recent academic trends and prospect

Multimedia software engineering is a new field created as necessary in the human cultural development process. In other words, multimedia software engineering is a convergent academic field that combines general engineering elements related to computing technology, multimedia content technology elements, and video information processing. The multimedia software engineering department educates and conducts research focused on digital multimedia content engineering elements.

Multimedia software engineering has a wide range of applications that utilize 3D spatial information processing, computer graphics, games, animation, virtual and augmented reality, human-computer interaction (HCI), cloud computing, video processing, and computer vision. Notably, examples include the development of video processing-based image quality improvement algorithms in display systems, computer vision-based autonomous driving systems, factory automation, VR-based simulation and virtual medical procedure systems, web service development, and AI-based game engines.

Multimedia software engineering is a future-oriented field with immense potential for development. Its necessity and importance will increase as relevant technologies develop academically and industrially at home and abroad. Accordingly, multimedia software engineering theories and technologies are expected to create greater added value, improve industrial productivity and human life, and provide comfort, convenience, and benefits.

Career prospect

As the importance of the digital multimedia content industry, which can create high added value, expands, the proportion of the various high-quality multimedia systems and application software development has recently been increasing in the IT industry. Thanks to this trend, the demand for professional human resources majoring in multimedia software engineering continues to grow. Currently, graduates majoring in multimedia software engineering play a key role in research and development in industries and research institutes of the following applied fields.

• Multimedia system development experts: related fields such as computer graphics, VR and AR, video processing, sound processing, AI, computer vision, multimedia database, and information processing
• Programming experts: related fields such as entertainment or functional game development, game programming, AI in games, and game engineering applications
• Researchers: research at relevant research institutes, such as multimedia information engineering and game engineering
• Majoring in multimedia software engineering at general graduate school for master’s and Ph. D degrees
• Others: Studying abroad at universities in related fields, venture start-ups related to multimedia software, etc.

Educational goals and ideal talent

The artificial intelligence department aims to produce talents who can contribute to increasing AI capability and national development and set educational goals of nurturing AI development and application experts with the following abilities through the education of core theory, principle, and application:

1. Fundamental and theoretical knowledge in the AI field and creative and convergent thinking

2. System design and application capabilities in the AI field

3. Cooperative spirit and smooth communication skills for collaborative and cooperative work

4. Ethics, lifelong learning skills, and language skills that AI experts must have in the global community

Recent academic trends and prospect

With the Fourth Industrial Revolution, our society is moving toward a “more intelligent society where everything is connected,” and the rapid development of ICT is tremendously influencing the industry and society as a whole. Consequently, AI has entered daily life in various ways. AI is expected to assist or cooperate with humans in almost all professional and industrial fields, such as medicine, law, planning, layout, design, and creation. Notably, in recent years, AI-related technologies have been used to develop new technologies by combining various cutting-edge technologies. The role of AI as a base technology to improve quality of life and convenience in multiple areas is expected to expand.

Career prospect

As AI generally impacts society, the demand for AI professionals in general industries and research institutes is soaring. Graduates majoring in AI are expected to be in the spotlight as high-quality human resources with the development of society.

AI majors may pursue careers as developers or managers, such as AI engineers and AI system managers in industries. Graduates may also be involved in AI-related research, planning, or management in research institutes and public institutions. Another option is to become a professional researcher and professor after acquiring higher degrees from graduate school. The main career paths for AI major students after graduation are as follows:

• AI developers and managers in conglomerates and small venture companies related to AI
• AI researcher and planner at research institutes and public institutions
• Start-up of an AI-related venture company
• University professor and research institute researcher of the AI field after obtaining master's and doctorate degrees

Educational goals and ideal talent

The data science department cultivates analytical thinking and creative application through theoretical classes and practical projects for data collection, analysis, and visualization. It also trains talents who can actively respond to the rapidly changing information society in the Fourth Industrial Revolution. Additionally, the department aims to foster global data scientists who will play a crucial role in various sectors, such as research institutes, public institutions, and industrial sites, through convergent research and education in other disciplines that require data-based scientific and objective analysis.

Recent academic trends and prospect

Industries, including private companies and non-profit organizations, including the public sector, use and collect increasing amounts of data in their daily operations. From predicting purchase intention to dealing with environmental pollution, using data to find patterns and help solve problems in innovative and imaginative ways has never been more necessary.

With the recent development of data storage technology, extracting, analyzing, and interpreting large amounts of data from various sources based on data mining, AI, machine learning, and statistical learning theories have become increasingly important. Additionally, transmitting the knowledge from data analysis in a clear and logical language is crucial. Moreover, data analysis capabilities, along with other technologies in the Fourth Industrial Revolution era, such as mobile technology and smart factory, play an essential role and expand the scope, thanks to rapid technological development.

Career prospect

As data plays a crucial role in the Fourth Industrial Revolution era, the demand for theoretically and practically trained data scientists is increasing in all fields that require significant results from data. Therefore, career prospects cannot be limited to a specific field. Students are also expected to actively pursue further study at graduate school in various academic areas where the use of big data is valuable.

• Business analyst: plans marketing and sales strategies using data analysis tools
• Data analyst: refines and analyzes data, performs predictive analysis
• Data engineer: extracts data from servers, and performs distributed big data processing
• Data science researcher: conducts research at relevant data science and AI institutes
• Starts a data science-related venture business
• Goes to graduate schools of this school and prestigious universities at home and abroad

Educational goals and ideal talent

Metaverse is recently in the spotlight as a future image of the new era, bringing revolutionary changes to the whole society. Its application is spreading to all industries in combination with service platforms such as games and social networking services. Metaverse is a complex of general-purpose technologies: extended reality (XR) + data, network, artificial intelligence (D.N.A.). It creates new experiences and economic value by expanding the space for economic activity to virtual convergence space.

Entertainment technology is a state-of-the-art field that creates high added value by incorporating advanced technologies into games, culture, and arts, along with metaverse technology. The entertainment technology department operates a multidisciplinary curriculum that teaches the convergence of various AI-based engineering and cultural elements. Through this curriculum, the department aims to cultivate advanced AI convergence experts who will contribute to cultural development in the future through understanding contemporary digital culture and possessing AI theory, convergent technology, and a practical level of the metaverse and game system development.

Recent academic trends and prospect

Metaverse is rapidly growing as a core platform for building social networks due to the prolonged COVID-19 pandemic. The applications and commercialization are in progress in various sectors, such as games, virtual content, online education and meeting, and shopping.

Metaverse is a product that requires various technologies, and leading technologies converge based on virtual environments, computer simulations, AI, and human-computer interaction (HCI). The technology is expected to expand as the application field increases.

Metaverse is a platform that can create new markets, and as it expands into shopping, advertising, e-learning, and engineering technology, it requires planning capabilities.

Career prospect

With the increasing importance of the entertainment technology industry, which can create high added value, the proportion of development and content production of various entertainment systems and application software for high-quality metaverse and games is increasing. Thanks to this trend, the demand for professionals majoring in entertainment technology continues to grow, and graduates will play a key role in research, development, production, and planning in industries and research institutes in the following applications:

• Entertainment technology R&D experts: AI, 3D and 4D interactive effects, HCI, five senses technology, computer simulation, XR, etc.
• Metaverse, game system and programming expert: metaverse and game platform development, metaverse and game programming, metaverse and game AI application technology
• Developer of the metaverse and game content: promotional and learning content production, e-learning, shopping malls, advertisement planning and production, etc.
• Developers and planners at companies related to entertainment technology and AI convergence
• Researchers at research institutes of the entertainment technology and AI convergence
• Venture business start-up related to entertainment technology and AI convergence
• Pursue a higher degree at graduate school related to entertainment technology and AI convergence at home and abroad, such as Entertainment Technology Center at Carnegie Mellon University in the United States