Keystone logo
National Central University PhD in Network Learning Technology
National Central University

PhD in Network Learning Technology

Request duration

English

Full time, Part time

Request application deadline

Request earliest startdate

Request tuition fees

On-Campus

Scholarships

Explore scholarship opportunities to help fund your studies

Introduction

Spun off from the Laboratory of Science and Technology for Learning of the Computer Science and Information Engineering Department, the Graduate Institute of Network Learning Technology (NLT) was established in 2002 with a foundation built from the first phase of the 4-year University Pursuit of Academic Excellence Project on Learning Technology started in 2000, supported by the Ministry of Education. Prior to this project, the original Laboratory of Science and Technology for Learning was awarded the Laboratory of Excellent Research in the area by National Science Council in 1994.

Faculties of the Institute are conducting world-class, leading-edge research. Some of them have been invited as keynotes in various international conferences. Furthermore, they serve on editorial boards of high-standing international journals as well as on review boards of international research projects. The Institute collaborates extensively with internationally leading research laboratories or centers and conducts overseas student exchange programs.

Requirements for Graduation

Required credits: 30 credits (including 9 credits for required courses & 6 credits for a dissertation.)

Duration of Study: 2~7 years

Other requirements :

  • Elective Courses
  • Pass doctoral candidacy qualification examination within the first two years.
  • Pass annual academic accreditation
  • Publish at least two papers in internationally recognized journals (SSCI/SCI).
  • Pass an oral defense of a dissertation.

Admissions

Curriculum

Accreditations

Facilities

About the School

Questions

Similar Courses

  • PhD in Systems Science
    • Lucca, Italy
  • Doctor of Philosophy in Network Science
    • Vienna, Austria
  • Doctor of Philosophy (Ph.D) in information System and Networks
    • London, United Kingdom
    • Bologna, Italy