M.S. in Computer Science

Program Overview

The M.S. in Computer Science at SUNY Poly is a graduate-level program typically completed in 1.5 to 2 years (18-24 months). It offers students a broad overview of the major areas in computer science, coupled with the opportunity for in-depth specialization. The curriculum stresses problem-solving methodologies and principles essential for computing professionals. Students can pursue full-time, part-time, and even remote learning options, offering flexibility. The program is specifically designed for individuals seeking career advancement, preparation for a doctoral program, or a teaching position in the field.

STEM-Designated: Yes, the M.S. in Computer Science program at SUNY Polytechnic Institute is STEM-designated. This is a significant advantage for international students, as it allows them to apply for the STEM Optional Practical Training (OPT) extension, providing up to 24 additional months of work authorization in the U.S. after completing their degree.

Curriculum: The M.S. in Computer Science curriculum at SUNY Poly is structured to provide a strong theoretical and application-oriented education. It comprises 33 credit hours, including core courses and electives. Students are required to complete one course in each of four key areas: Software Engineering, Systems & Architectures, Algorithms & Theory, and Artificial Intelligence & Modeling. They then choose two additional courses from one of these areas for specialization, and one additional course from a different area. A fourth course from any area is required if a project is elected instead of a thesis. General electives further allow students to align their studies with their interests. The program regularly offers a wide variety of courses, including systems theory, formal languages, artificial intelligence, computer vision, and information storage and retrieval. Learning is supported by state-of-the-art laboratories that simulate real-world computing environments and extensive library resources.

Research Focus: SUNY Polytechnic Institute's M.S. in Computer Science program places a strong emphasis on research and scholarly activity. Students have the option to complete a project (3 credits) or a thesis (6 credits), which involves in-depth research or industrial projects. The faculty, with diverse areas of expertise, actively pursue research in fields such as artificial intelligence, augmented reality, blockchain technology, computer architecture, computer vision, deep learning, high-performance computing, medical imaging analysis, mobile technologies, network and communication technologies, parallel and distributed systems, post-quantum cryptography, quantum computing algorithms, real-time and embedded systems, and virtual reality. Many faculty and students maintain close working relationships with researchers at the Rome Research Site of the Air Force Research Laboratory, providing additional research opportunities.

Industry Engagement: SUNY Polytechnic Institute has a strong focus on practical, industry-relevant education and maintains close connections with industry and government partners. The M.S. in Computer Science program is designed to prepare students for employment and career advancement in a rapidly developing field. The university emphasizes internships and placement support through its network of industry partners. Recent investments in state-of-the-art facilities like the Semiconductor Processing and Packaging Lab, Healthcare Innovation Lab, and the Robotics and Advanced Manufacturing Research and Education Lab further enhance practical training and collaboration. Faculty members often have industry experience, bringing real-world insights into the classroom. Alumni have secured positions at companies such as the Air Force Research Laboratory (AFRL), Assured Information Security (AIS), BNY Mellon, and Booz Allen Hamilton, showcasing strong industry connections.

Global Perspective: SUNY Polytechnic Institute fosters a global perspective by welcoming a diverse international student body and preparing graduates for a globally interconnected workforce. The universal nature of computer science principles and their applications ensures that the knowledge and skills gained are relevant across international borders. The university's emphasis on cutting-edge research in areas like AI, cybersecurity, and nanotechnology has global implications, attracting students and faculty from around the world to contribute to advancements that transcend national boundaries. The program's rigorous theoretical and applied aspects equip students to contribute to the global technological landscape and work in diverse multinational companies or research collaborations.