
Conduct CS research at the highest levels
We’ll connect you with an advisor to help explore your academic and professional opportunities with the PhD in Computer Science.
The PhD program at Pace’s Seidenberg School of Computer Science and Information Systems is designed to produce productive research scholars who will typically assume academic positions in their chosen fields. The degree requirements for the PhD focus on acquiring the skills needed to conduct rigorous research. Through class work and mentoring relationships with faculty, students obtain state-of-the-art theoretical and methodological foundations to design and conduct this research independently. Areas of research include robotics, analytics, biometrics, cybersecurity, and more.
Potential Research Areas
The Seidenberg School’s PhD in Computer Science covers a wealth of research areas. We pride ourselves on engaging with every opportunity the computer science field presents. Some of the research areas you can explore at Seidenberg include:
- Robotics: Pattern recognition, artificial intelligence, data mining, intelligent agents, computer vision, and data mining are topics that are all incorporated into the field of robotics.
- Telehealth: Using current computing technologies to deliver medical advice and treatment to patients at a distance, as well as offer better availability of medical professionals to patients at a reduced cost.
- Cybersecurity: Seidenberg leads the nation in web security, developing secure web applications, and research into cloud security and trust.Education Using Emerging Computing Technologies: Seidenberg’s research into new educational approaches include innovative spiral education models, portable Seidenberg labs based on cloud computing and computing virtualization, and creating new semantic tools for personalized cyber-learning.
- Pattern Recognition and Machine Learning: Students use these tools in diverse application areas such as optical character recognition, speech recognition, and biometrics.
- Biometrics: The science and technology of measuring and statistically analyzing human physiological and behavioral characteristics. The physiological characteristics include face recognition, DNA, fingerprint, and iris recognition, while the behavioral characteristics include typing dynamics, gait, and voice.
- Big Data Analytics: The science that enables organizations to analyze a mixture of structured, semi-structured, and unstructured data in search of valuable information and insights. This science uses many machine learning algorithms and the challenges include data capture, search, storage, analysis, and visualization.
- Business Process Modeling: The BPMN-based business process modeling enables precise modeling and optimization of business processes, and BPEL-based automatic business execution enables effective computing service and business integration and effective auditing.
Featured companies
Students have access through coursework, internships and recruitment to Seidenberg’s extensive partnership and alumni network at leading companies including:
- IBM
- US Environmental Protection Agency
- Microsoft
- PriceWaterhouseCooper
- Citibank
- US Department of Justice
- Morgan Stanley
- SpaceX
- NBCUniversal
- Mastercard

About Seidenberg
Pace University's Seidenberg School has a vision to prepare students for careers that don’t yet exist, using tools that have not yet been invented. The faculty and staff of the Seidenberg School are deeply committed to educating the next generation of leaders in the field of information technology, in all its many disciplines. At a time when opportunities within this dynamic field are growing, a degree from the Seidenberg School will maximize your potential for success in whatever career you decide to pursue.