The BA in Computer and Data Science is a rigorous interdisciplinary joint major offered by NYU’s Department of Computer Science and the Center for Data Science. The program equips students with the theoretical foundations and applied skills required to design data systems, analyze large datasets, and critically assess the societal and ethical implications of data-driven technologies. The curriculum blends core computer science with modern data science methods and statistical reasoning.
Sample Plan of Study:
Year 1: Introduction to Computer Programming (No Prior Experience), Calculus I, Texts and Ideas, Intro to Computer Science, Calculus II, Writing as Inquiry, Cultures and Contexts
Year 2: Data Science for Everyone, Data Structures, Discrete Mathematics, Foreign Language I, Principles of Data Science, Computer Systems Org, Linear Algebra, Foreign Language II
Year 3: Basic Algorithms, Data Management and Analysis, Foreign Language III, Expressive Culture, Probability & Statistics, Predictive Analytics, Foreign Language IV, Societies and the Social Sciences
Year 4: Causal Inference, Operating Systems, Physical Science, Other Elective Credits, Responsible Data Science, Advanced Topics in Data Science, Fundamentals of Machine Learning, Life Science
Hands-on programming in Python, R, and other tools
Projects involving large-scale data analytics
Opportunities for independent study or research under faculty mentorship
Access to NYU’s extensive data science resources and interdisciplinary labs
Excellent foundation for graduate study in data science, computer science, AI, or related fields
Graduates trained in both technical implementation and critical evaluation of data systems
Students must earn a grade of C or better in all major courses
Advising support from both the Computer Science and Data Science departments
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