PhD in Computer Science, Pace University

60 Months

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About this course

The PhD in Computer Science at this campus in Westchester is designed to develop advanced research scholars capable of excelling in both industry and academia. With a selective application process and a small cohort size, students have the opportunity to work closely with faculty experts on original research projects. The program covers a broad spectrum of research areas including artificial intelligence, robotics, machine learning, cybersecurity, data science, healthcare technology, biometrics, and educational innovations using emerging computing technologies.

Why this course is highly recommended

This program is ideal for students serious about conducting high-level computing research, given its close faculty mentorship and focus on original research. Its comprehensive research areas and requirements prepare students for leadership roles in academia and industry, making it a strong choice for those looking to make significant impacts in the field of computer science.

Specialisation

Students can specialise in areas such as artificial intelligence, robotics, machine learning, cybersecurity, data science, healthcare technology, biometrics, business process modeling, or educational methods utilizing emerging computing technologies.

Course fees

Application fees

1st year tuition fees

10.90L

Living cost

Degree requirements

Students need to complete 44 credits, which include advanced coursework, research seminars, independent research, and dissertation preparation. They qualify through passing three qualifying exams, with specific emphasis on the advanced algorithms exam. After completing their coursework, students enroll in maintain matriculation and proceed to dissertation work.

English language test

IELTS

6.5

TOEFL

PTE

DUOLINGO

115

Want to learn more about the admission process, eligibility criteria, and acceptance rates for international students? Visit the Pace University admission page for complete details.

Career prospects

Graduates of this PhD program are prepared for roles in both academia and industry, where they can lead innovative research projects or teaching initiatives within their chosen areas of specialisation. The program’s emphasis on original research and industry-relevant skills makes graduates well-suited for leadership positions in technology and research organizations.

FAQs

What are the research areas available in this PhD program?

Research areas include artificial intelligence, robotics, machine learning, cybersecurity, data science, healthcare technology, biometrics, business process modeling, and educational approaches utilizing emerging computing technologies.

What are the qualifying exam requirements?

Students must pass three qualifying exams, including the advanced algorithms exam with a minimum grade of B. Failing an exam twice requires leaving the program, and all exams must be passed by the end of the second year.