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 vision and perception technology, intelligent analysis of 3D images and video, deep learning and artificial intelligence, and applications of visual intelligence and pattern recognition.

Entry Requirements

Language requirements: IELTS overall score of no less than 6.5, with no individual component below 6; or TOEFL overall score of no less than 93. Applicants whose undergraduate or master’s studies were taught in English in an English-speaking country may apply for a language test waiver. Applicants with an academic background must hold a bachelor’s or master’s degree in computer science or a related field, with a GPA of 3.7 or an average score of 85 or above; conditions may be relaxed appropriately for 985 universities.

Other Requirements

Applicants must have a GRE or GMAT score obtained within the past 5 years; no specific score is required.

Application Materials

Academic CV, research proposal, 2 recommendation letters, English language test report, previous academic transcripts, GRE/GMAT score report.

Application Period

The programme duration is 3–4 years. Deadlines are: 31 January (for August entry in the same year); 31 July (for January entry in the following year). The application process is as follows: Step 1: Register and submit an English CV for internal assessment; Step 2: After passing the initial screening, attend an interview with the intended supervisor; Step 3: Submit the formal application and relevant materials through the official NTU website; Step 4: Receive the admission offer.

January and August entry; priority recommendation places (limited places, apply as early as possible), apply as early as possible!

Tuition and Living Costs

Tuition

Approximately RMB 125,000 per academic year.

Career Prospects

At the College of Computing and Data Science (CCDS) at Nanyang Technological University in Singapore, PhD graduates have very broad career prospects. The College emphasises research-driven education and integrates PhD education with world-class research facilities and a transnational partner network, supporting students in conducting original research in frontier fields such as artificial intelligence, data science and computer vision. PhD graduates not only have opportunities to take up faculty positions at renowned universities worldwide, but are also frequently recruited by research institutions, government research centres or high-tech enterprises for roles such as researcher, chief scientist or technical leader. The College’s graduates have a high employment rate and strong academic and applied capabilities, making them competitive in both academia and industry.