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中文Academics
- Publish Date：2025-12-25
AI and Semiconductor Boom Drives Record Competition for NYCU Graduate Programs
NYCU students conduct semiconductor process training inside a cleanroom laboratory, gaining hands-on experience with chip fabrication and equipment operation.
Edited by Chance Lai
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National Yang Ming Chiao Tung University (NYCU) has reported a sharp rise in applications to its master’s programs for Academic Year 2026 (115th academic year), with artificial intelligence, computer science, and semiconductor-related departments emerging as the most competitive fields. Several programs recorded admission rates below three percent, underscoring the surging demand for advanced talent in Taiwan’s high-tech industries.
Despite the nationwide decline in student population, NYCU saw total applications for its master’s and executive master’s programs climb from 11,355 to 13,678 — an annual growth rate of 20.45 percent. The figures reflect strong labor-market demand for top-tier engineers and cross-disciplinary professionals in next-generation technologies.
Semiconductor and AI Programs Lead a Highly Competitive Field
Programs in integrated circuit design, computer science, and intelligent systems remain the top choices for applicants. The ICS & EDA Group of NYCU’s Institute of Pioneer Semiconductor Innovation — dedicated to cultivating IC design specialists — recorded an acceptance rate of only 2.17 percent.
The Graduate Institute of Computer Science and Engineering attracted 2,167 applicants competing for just 56 seats, resulting in an admission rate of 2.58 percent. Meanwhile, the Intelligent Systems Graduate Program, which integrates AI, data science, broadband communications, and the Internet of Things, offered 10 seats but drew 391 applicants — an acceptance rate of 2.56 percent.
Data-Driven Decision-Making Fuels Growth in Business and Management Fields
The AI-driven talent wave is also reshaping business education. Applications to the Department of Management Science master’s program in Decision and Information Analytics surged by 115.72 percent year-on-year, reflecting industry demand for professionals capable of transforming data insights into strategic decision-making.
A similar trend was seen in the Financial Decision-Making Track of the Finance Master’s Program under the Department of Information Management and Finance, which posted an acceptance rate of just 1.98 percent. The results highlight the growing prominence of FinTech-oriented talent who possess both analytical and financial competencies, attracting students from across science, engineering, and social science backgrounds.
Despite the nationwide decline in student population, NYCU saw total applications for its master’s and executive master’s programs climb from 11,355 to 13,678 — an annual growth rate of 20.45 percent. The figures reflect strong labor-market demand for top-tier engineers and cross-disciplinary professionals in next-generation technologies.
Semiconductor and AI Programs Lead a Highly Competitive Field
Programs in integrated circuit design, computer science, and intelligent systems remain the top choices for applicants. The ICS & EDA Group of NYCU’s Institute of Pioneer Semiconductor Innovation — dedicated to cultivating IC design specialists — recorded an acceptance rate of only 2.17 percent.
The Graduate Institute of Computer Science and Engineering attracted 2,167 applicants competing for just 56 seats, resulting in an admission rate of 2.58 percent. Meanwhile, the Intelligent Systems Graduate Program, which integrates AI, data science, broadband communications, and the Internet of Things, offered 10 seats but drew 391 applicants — an acceptance rate of 2.56 percent.
Data-Driven Decision-Making Fuels Growth in Business and Management Fields
The AI-driven talent wave is also reshaping business education. Applications to the Department of Management Science master’s program in Decision and Information Analytics surged by 115.72 percent year-on-year, reflecting industry demand for professionals capable of transforming data insights into strategic decision-making.
A similar trend was seen in the Financial Decision-Making Track of the Finance Master’s Program under the Department of Information Management and Finance, which posted an acceptance rate of just 1.98 percent. The results highlight the growing prominence of FinTech-oriented talent who possess both analytical and financial competencies, attracting students from across science, engineering, and social science backgrounds.
“Data-Driven Talent Has Become the New Strategic Advantage”
NYCU Dean of Academic Affairs Professor Yong-Sheng Chen noted that the Graduate Institute of Computer Science and Engineering has long cultivated strengths across artificial intelligence, algorithms, software engineering, and system architecture. Its graduates frequently advance into leading global technology firms as algorithm engineers or software developers.
“Competitive starting salaries and clear career pathways are major reasons why student interest remains consistently strong in these fields,” Chen said.
He added that enterprises across sectors — from marketing and finance to supply-chain management — increasingly rely on data-driven decision-making.
“Industries today need professionals who can interpret complex datasets and translate them into actionable strategies. NYCU has progressively integrated data analytics and AI into its management and business curricula, making decision-analysis training more practical and future-oriented. This is why more students are choosing these programs.”
Aligning Graduate Education With Taiwan’s High-Tech Talent Pipeline
NYCU’s surge in applications reflects years of sustained investment in ICT, semiconductor engineering, and advanced management education, forming a positive cycle between academic training and industrial needs. As the global AI wave accelerates, the university plans to further expand cross-disciplinary teaching and innovation-driven learning environments to support Taiwan’s next generation of research, engineering, and leadership talent.
Graduate students attend a lecture at the Institute of Pioneer Semiconductor Innovation, delivered by a senior university vice president and former chief technology officer in the semiconductor industry.Related Image(s)：
