NYU and Northwestern are both excellent schools for computer science, but they have different strengths and weaknesses.

NYU

• Location: NYU is located in New York City, which is a major hub for the tech industry. This gives NYU students access to a wide range of opportunities, such as internships, research positions, and networking events.
• Research: NYU has a strong research focus, and its faculty members are actively involved in cutting-edge research in computer science. This gives NYU students the opportunity to work on cutting-edge research projects and to learn from some of the best minds in the field.
• Curriculum: NYU’s CS PhD program offers a wide range of courses, so students can tailor their education to their specific interests. The program also offers a number of specializations, such as artificial intelligence, machine learning, and computer graphics.

Northwestern

• Smaller class sizes: Northwestern’s CS PhD program is smaller than NYU’s, which means that students have more opportunities to interact with faculty members and to get to know their fellow students.
• Strong alumni network: Northwestern has a strong alumni network, which can provide students with valuable networking opportunities.
• Co-op program: Northwestern offers a co-op program, which allows students to gain practical experience in the tech industry. This can be a valuable asset when it comes time to find a job after graduation.

Ultimately, the best school for you will depend on your individual preferences and goals. If you are interested in a research-oriented program and you want to be located in a major tech hub, then NYU may be a better fit for you. If you are looking for a smaller program with a strong alumni network, then Northwestern may be a better choice.

Here is a table that summarizes the key differences between NYU and Northwestern for a CS PhD program: