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Nanyang Technological University (NTU) – PhD in Computer Science

University
Nanyang Technological University (NTU)
Region
Singapore
Subject
Computer Science
Duration
3-4 years
Format
In person

Research Focus

Computer visual and sensory technology, 3D image and video intelligence analysis, in-depth learning and artificial intelligence, visual intelligence and mode recognition applications.

Entry Requirements

Language requires that the total IELTS score is not less than 6.5 and that the individual score is not less than 6; or that the total TOEFL score is not less than 93. An English-speaking country may apply for an exemption from language achievement at the undergraduate or master’s level. Applicants with an academic background are required to have an undergraduate or master’s degree in a computer or related specialty, GPS 3.7 or above 85, and institutions 985 may ease their conditions as appropriate.

Other requirements

Applicants are required to have GRE or GMAT accomplishments during 5 years, with no requirement for specific scores.

Application Materials

Academic curriculum vitae study proposal 2 for an English-language pass card

Application Period

School system3-4Year. The deadline is:1Month31Day (same year)8Monthly enrolment;7Month31Day (next year)1The application process is as follows: first step: sign-up for the English curriculum vitae for internal assessment; second step, interview the proposed mentor after the initial screening; third step, submit formal applications and related materials through the NTU Network of University Officials; and fourth step, harvest acceptance notice

Enrolment for 1 month, 8 month; priority recommended places (limited, as early as possible) to apply as soon as possible!

Tuition and Living Costs

Tuition fees

About RMB 125,000/ school year

Career Prospects

The career prospects of doctoral graduates are very high at the Singapore South Pacific Polytechnic University School of Commuting and Data Science (CCDS). The Academy emphasizes the scientific drive and insists on integrating doctoral education with world-class research facilities and transnational partner networks to support students in original research in frontier areas such as artificial intelligence, data science, computer vision, etc. Ph.D. graduates not only have access to prominent universities around the world for teaching posts, but are also frequently recruited by scientific institutions, government research centres or high-tech enterprises to serve as researchers, chief scientists or technology leaders. College graduates are highly employed and have a strong academic and applied capacity, making them competitive in academia and industry.

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