With the PhD in Computer Science program at Pace University, students will be prepared to make original and innovative contributions to a field of study through research efforts.
- AnytimeApplication Deadline
- 36 monthsDuration
- Unknown (University site)Tuition Fee1250 USD/creditTuition Fee1250 USD/creditTuition Fee
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Overview
Through class work and mentoring relationships with faculty, students obtain state-of-the-art theoretical and methodological foundations to design and conduct research independently on cutting-edge topics including telehealth and biometrics, web computing and information assurance, artificial intelligence and robotics, and software engineering and formal methods.
Students of the PhD in Computer Science program at Pace University , may also be eligible to receive financial support so they can focus on full-time research, and a required teaching component prepares students to become effective professors and join the university faculty.
As one of the earliest accredited computing schools in the nation and the first to offer a Computer Science PhD in New York’s Hudson Valley, Seidenberg has developed and sustained a high quality of research by faculty and students as well as a strong placement record for its graduates.
Career
- Professor of Computer Science
- Computer Systems Engineer
- Network Architect
- Computer Scientist
- Researcher in Chosen Field
Accreditation
As one of the earliest accredited computing schools in the nation and the first to offer a Computer Science PhD in New York’s Hudson Valley, Seidenberg has developed and sustained a high quality of research by faculty and students as well as a strong placement record for its graduates.
Detailed Programme Facts
- More details:
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Starting in
- Good news: You can apply for this programme anytime before its start date.
Always verify the dates on the programme website. programme website.
Applications will be accepted until the cohort is full.
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- Programme intensity Full-time
- Full-time duration 36 months
- Credits 44 alternative credits
- Languages
- English
- Delivery mode On Campus
- More information Go to the programme website
Programme Structure
Courses include:
- Pattern recognition and machine learning
- Advanced Algorithms
- Artificial Intelligence
- Big Data Analytics
- Advanced Intelligent Agents
English Language Requirements
This programme may require students to demonstrate proficiency in English.
- Get a free IELTS practice test
Academic Requirements
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This programme accepts GRE® scores. However, it does not provide a recommended score range.
The GRE® General Test is a widely administered admissions test that measures the skills needed in today's graduate and business school programs worldwide. The GRE® General Test contains three sections - Verbal Reasoning, Quantitative Reasoning, and Analytical Writing. Three scores are reported: a Verbal Reasoning score on a 130 - 170 score scale in one-point increments, a Quantitative Reasoning score on a 130 - 170 score scale in one-point increments, and an Analytical Writing score on a 0 - 6 score scale in half-point increments.
General Requirements
Applicants to the PhD in Computer Science must submit:
Post-secondary transcripts focusing in computer science or a closely related field
- The GRE general score
- Two letters of recommendation
- TOEFL or TELTS scores (international applicants only)
- A research presentation
Tuition Fee
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International Applies to you
1250 USD/creditTuition FeeBased on the original amount of 1250 USD per credit and a duration of 36 months. -
National Applies to you
1250 USD/creditTuition FeeBased on the original amount of 1250 USD per credit and a duration of 36 months.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.
Funding
Check the programme website for information about funding options.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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