學程介紹 Introduction
學程介紹 Introduction
特色 Features
研究方向與產業相關，與合作公司互動密切。
Research directions are industry-relevant with close interaction with partner companies.
對產學計畫能有更具體的貢獻，預期畢業後即可加入合作的公司。
Make more concrete contributions to industry-academia projects, with expectations for graduates to join partner companies immediately after graduation.
獎學金 Scholarships
參與本學程博班學生，若獲得合作公司補助，每位每月獎學金至少25,000元。
Doctoral students participating in this program who receive funding from partner companies will receive scholarships of at least NT$25,000 per month per student.
招生對象 (名額2人) Enrollment Object
相關系所碩士班畢業生或同等學歷畢業生。
Graduates from related master's programs or equivalent qualifications.
本校碩士班修業滿一年之研究生符合逕讀博士學位學程。
Graduate students in our university's master's programs who have completed at least one year of study are eligible for direct admission to the doctoral degree program.
審查評分標準 Evaluation Criteria
資料審查40%：相關系所學歷證明文件，碩士論文或論文初稿，攻讀博士產學學位研究計畫書。
Document Review 40%: Academic credentials from related departments, master's thesis or thesis draft, research proposal for the industry-academia doctoral degree program.
面試60%
Interview 60%
課程規劃 Curriculum Planning
大數據相關課程為數據與矩陣計算、數學建模與數據分析、應用多變量分析、資料分析與R語言、大數據專題、數據科學、應用統計、迴歸分析、計算平台概論、巨量資料分析、機器學習、雲端運算與行動平台、物聯應用與資料分析、高等資料挖掘與巨量資料分析等。
Big data related courses include Data and Matrix Computing, Mathematical Modeling and Data Analysis, Applied Multivariate Analysis, Data Analysis and R Programming, Big Data Projects, Data Science, Applied Statistics, Regression Analysis, Introduction to Computing Platforms, Big Data Analytics, Machine Learning, Cloud Computing and Mobile Platforms, IoT Applications and Data Analysis, Advanced Data Mining and Big Data Analytics, etc.
參與研發計劃 Participation in R&D Projects
參與計畫之博班學生需與合作公司密切合作，藉由定期會議了解學生之研究現況、學習上瓶頸及需加強的部分。合作公司可提供各種資源以突破學生的瓶頸，尤其是提供富有經驗的研發人員、各項研究設備等。學生需主動赴合作公司進行各項資料的搜尋、實驗、技術諮詢與討論等，藉由固定會議了解學生學習成效，並督促與檢討學生是否按照預定期程實施。
Doctoral students participating in the program must collaborate closely with partner companies through regular meetings to understand students' research progress, learning bottlenecks, and areas needing improvement. Partner companies can provide various resources to help students overcome bottlenecks, especially by providing experienced R&D personnel and research equipment. Students are required to actively visit partner companies for data collection, experiments, technical consultation and discussions. Through regular meetings, student learning effectiveness is monitored, and students are supervised and evaluated to ensure they follow the predetermined schedule.
產學合作機制 Industry-Academia Collaboration Mechanism
在共同指導機制上，除該學生所屬之指導教授外，並可由合作公司指派有資格的研發人員作為該學生的共同指導教授，以可強化學生與公司的互動關係，獲得在學校較無法獲得的實務經驗、技術與觀念。
Under the co-supervision mechanism, in addition to the student's designated advisor, partner companies may assign qualified R&D personnel as co-advisors for the student. This strengthens the interaction between students and companies, allowing students to gain practical experience, technical knowledge, and concepts that are difficult to obtain in school settings.
參與企業 Partner Companies
啟德電子股份有限公司 CHARDER ELECTRONIC CO., LTD.
采威國際資訊股份有限公司 Iscom Online International Information Inc.
亦思科技股份有限公司 IS-LAND SYSTEMS INC.
開易(北京)科技有限公司 ADASPLUS Technology Co., Ltd.
智準生醫科技公司 Seknova Biotechnology Co., Ltd.
友達光電股份有限公司 AUO Corporation
模帝科電子科技股份有限公司 MOTECK ELECTRIC CORP.