Metadata
Title
Digital Analytics
Category
general
UUID
349503d3132c44eab7eda4a85fc07d3b
Source URL
https://computing.yonsei.ac.kr/eng/eng2_2_d.php
Parent URL
https://computing.yonsei.ac.kr:443/eng/
Crawl Time
2026-03-13T06:55:49+00:00
Rendered Raw Markdown

Digital Analytics

Source: https://computing.yonsei.ac.kr/eng/eng2_2_d.php Parent: https://computing.yonsei.ac.kr:443/eng/

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Greetings from the Dean Vision

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School of Computing

Department of Computer Science and Engineering Department of Artificial Intelligence Department of Artificial Intelligence Systems

School of Integrated Technology

Department of Integrated Information Technology Department of Intelligent Semiconductor Technology Department of Mobility Systems

Graduate

Department of Computer Science and Engineering Department of Artificial Intelligence School of Integrated Technology Digital Analytics Convergence Cooperation Course Department of Mobility Systems Engineering Department of Intelligence Convergence

Convergence Program

AI Concentration Major Program

A Micro-Major Program

A Micro-Major Program Majoring in Artificial Intelligence and Management Information System Micro Artificial Intelligence and Business Science

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Data Center

School Introduction

College of Computing


Digital Analytics

Digital Analytics Website

Department Introduction

The Fourth Industrial Revolution is defined by advancements in cutting-edge information technologies such as big data, artificial intelligence (AI), and the Internet of Things (IoT), leading to a society driven by data intelligence and autonomy. What's particularly noteworthy is that these transformations are no longer confined to the realm of computers; they've begun to permeate every sector of society. In response, Yonsei University has established the Master's Program in Digital Analytics. This groundbreaking program is the first general graduate program within the university's Graduate School of Convergence Practical Studies. Its primary goal is to cultivate a new generation of interdisciplinary data scientists equipped with diverse skills in big data analysis and processing. Our graduate program brings together faculty from a wide array of disciplines, including the humanities, social sciences, engineering, and medicine, all dedicated to imparting the specialized knowledge essential for an interdisciplinary approach to data science education. Accordingly, the curriculum extends beyond foundational programming and database courses. It offers a broad spectrum of subjects, including machine learning, artificial intelligence, data mining, text mining, natural language processing, and medical informatics. Furthermore, to ensure students are well-prepared for real-world challenges, the program provides practical training courses and opportunities for collaboration on industry projects, helping them seamlessly adapt to professional work environments.

Career Path

  1. Private sector employment: SK Networks, Shinsegae, NH Investment & Securities, Mirae Asset, Kakao, Hyundai Motor, Naver, Netmarble, LG Uplus, etc. \
  2. Pursuing a Ph.D.: Ph.D. program in Biomedical & Health Informatics at Yonsei University, Ph.D. program in the Department of Biomedical Informatics at the University of Washington, etc.

  3. Contact

  4. Data Center
  5. Location

Yonsei University College of Computing, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea (Engineering Research Park(공학원), 153)

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