COURSE CURRICULUM

The Bachelor of Science in Statistics at San José State University requires a total of 120 units and is designed to provide students with a strong foundation in mathematics, probability, statistical theory, and data analysis, along with computational and programming skills. The program combines general education, major preparation, core statistical coursework, electives, and university requirements to prepare students for careers in statistics, data science, analytics, and related fields, as well as for graduate study in quantitative disciplines.The degree includes 25 units of Core Lower Division General Education, with some units potentially satisfied through major coursework, and 6 units of American Institutions requirements that may overlap with GE courses. Upper Division General Education consists of 6 units, with partial fulfillment possible through major-related courses. Students must also complete 2 units of Physical Education. The Graduation Writing Assessment Requirement (GWAR) is satisfied through a 3-unit upper-division writing course such as ENGR 100W, CS 100W, or PHYS 100W. University electives account for 9 units and allow students to explore additional academic interests.Major preparation consists of 11 units and includes foundational programming and writing-intensive technical communication. Students complete a 100W writing course along with introductory programming coursework such as CS 46A and CS 46B, or equivalent CMPE sequences. The major requirements total 61 units and are divided into lower-division and upper-division coursework. Lower-division requirements include Calculus I, II, and III, Linear Algebra, and Discrete Mathematics, providing essential mathematical preparation. Upper-division courses include probability, statistical theory, applied statistics sequences, and computational tools such as Python, SQL, and R programming. These courses build both theoretical understanding and practical data analysis skills. Students also complete 24 units of major electives, which may include topics such as data science, optimization, numerical analysis, cryptography, internships, and advanced computing courses, allowing specialization based on career goals. Overall, the program prepares students with strong analytical, computational, and statistical expertise for professional and academic advancement in data-focused fields.