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Fall 2025 Undergraduate Catalog
Data Science, BS
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Departments of Applied Mathematics and Statistics and Department of Computer Science, College of Engineering and Applied Sciences
Degree Awarded: Bachelor of Science in Data Science
Chairs: Joseph Mitchell, Samir Das
Undergraduate Program Director: Kevin McDonnell
Undergraduate Program Coordinator: TBA
Office: 231 Engineering Building
Phone: (631) 632-8381
The Data Science major provides professional education to prepare the student for a career in a data-intensive field or graduate study. The BS in Data Science is a joint effort of the departments of Applied Mathematics and Statistics (AMS) and Computer Science (CSE), both housed in the College of Engineering and Applied Sciences (CEAS). The program provides a strong foundation in both the computational and mathematical sciences, as well as a substantive concentration in a related application area. The mathematics and programming requirements are substantially higher than data analytics programs typically offered by business schools. Students will be intensively trained in computer programming, statistical analysis, and machine learning/AI so that they are well prepared for future work as data scientists and/or graduate school. The program has been designed to provide students the option of a “Data Science + X” program with a variety of subject areas.
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Admission Requirements
Acceptance into the Major Qualified freshman and transfer students who have indicated their interest in the major on their applications may be admitted directly as a degree major or as a pre-major. Pre-majors are placed into the Area of Interest (AOI) program and to be eligible for the degree, they must be admitted to and declare the major. The requirements and application process for matriculation are detailed below. Students in majors and pre-majors outside of Applied Mathematics and Statistics, Computer Science and Information Systems may apply for admission to the degree program following a separate process, outlined below. Intellectual honesty and academic integrity are cornerstones of academic and scholarly work. The department may table any applications for major/minor admission until academic judiciary matters are resolved. An academic judiciary matter will be identified by a grade of “Q” in the instance of a first offense. Area of Interest or declared majors in AMS, CSE, DAS and ISE Applications for major admission are reviewed twice per year and must be received by January 5 for Spring admission and June 5 for Fall admission. Students who submit their application on time will be admitted if they meet the following requirements: - Completed CSE 114 , CSE 214 and one of CSE 113 , AMS 261 , MAT 203 or MAT 307 .
- Earn grades of B- or higher in the above AMS, CSE and MAT courses, and a grade point average of 3.00 or higher in these courses (Transfer students who have completed equivalent courses at another school with grades of B- or higher need not retake these courses, but should keep in mind that grades do not transfer, and grade point averages are calculated on the basis of courses completed at Stony Brook),
- Repeated at most one of these courses,
- Earned a cumulative grade point average of 3.00 or higher, and
- Completed course evaluations for all transferred courses that are to be used to meet requirements of the major (only courses transferred before matriculation can be used for Data Science major admission purposes).
Students must complete these requirements no later than one year after they enroll in the first course that applies towards major entry. Students must apply for admission by the application deadline immediately following completion of the above requirements, but no later than the one year limit. Admission of students who apply late will follow the process below. Students outside of AMS, CSE, DAS and ISE Applications for major admission are reviewed twice per year and must be received by January 5 for Spring admission and June 5 for Fall admission. Students who do not meet the requirements for AOI admission above will not be considered. Fulfilling the requirements does not guarantee acceptance. Admission is competitive and contingent upon program capacity. Note: Students majoring in Data Science may not double-major or minor in Computer Science, Information Systems or Applied Mathematics & Statistics. Major Requirements
The major in Data Science leads to the Bachelor of Science degree. Completion of the major requires at least 58 credits. Residency requirement: 15 credits from requirements 3 and 6 below, and at least 15 additional major requirement credits must be completed at Stony Brook. 4. One Upper Division Writing Course
6. Technical Electives
Each student must complete at least 9 credits of data science technical electives at the upper-division level. Electives may be drawn from any of the courses listed below. Other courses may be selected with approval of the Undergraduate Program Director. Notes: Courses taken to satisfy requirement 3 may not also be used to satisfy the technical elective requirement. Only 3 credits of AMS 487, AMS 488, CSE 487 or CSE 488 may be used to satisfy the technical elective requirement. 7. Specialization
Each student must complete a specialization consisting of 12 or more credits. Courses taken to satisfy a specialization requirement may not be used to satisfy the technical elective requirements. Computer Science
- Any combination of upper-division CSE technical lecture courses totaling 12 or more credits not taken to satisfy any other major requirement.
Applied Mathematics and Statistics
- Any combination of upper-division AMS technical lecture courses totaling 12 or more credits not taken to satisfy any other major requirement.
Grading
All courses taken to satisfy requirements for the major must be taken for a letter grade and passed with a grade of C or higher. SBC Courses
This table illustrates major courses that can also be used to fulfill SBC requirements. (See Note 1 & Note 2) SBC Category | Required Major Courses | Optional Major Courses (see Note 3) | ARTS | | | GLO | | | HUM | | | LANG (see Note 4) | | | QPS | AMS 151, AMS 161 | | SBS | | | SNW | | | TECH | CSE 101, CSE 114 | | USA | | | WRT | | | STAS | CSE 312 | | EXP+ | | AMS 394, AMS 412,ISE 305, AMS 333, CSE 488, AMS 487, AMS 488 | HFA+ | | | SBS+ | | AMS 341, AMS 316, AMS 335, AMS 342 | STEM+ | AMS 210 or 261, MAT 203, 211, MAT 307 or 308, AMS 310 | | CER | CSE 312 | | DIV (see Note 5) | | | ESI | CSE 312 | | SPK | CSE 300 | | WRTD | CSE 300 | AMS 487 | Note 1: Some course information may be subject to change. Please contact your major advisor for additional consultation. Note 2: For majors that require study in a related area or completion of a minor, visit the respective program’s “Major SBC Courses” page to view expanded SBC options. Note 3: Denotes any course in which students can choose from more than one option. These may include, but are not limited to, major electives, concentration/track/specialization courses, or calculus/physics/chemistry sequences. Note 4: CEAS majors, the Athletic Training major, the Respiratory Care major, and the Clinical Laboratory Sciences major are exempt from the LANG learning objective. Students enrolled in the major in Social Work are exempt from the LANG learning objective, but are required to enroll in and pass with a letter grade of C or higher the first semester of an elementary foreign language course numbered 111, or satisfy through alternate methods. Note 5: Students are responsible for completing the general education requirements published in the Bulletin that was current as of the first semester of matriculation (or rematriculation). The following student groups must satisfy the DIV learning objective as part of their degree requirements: - Freshmen who matriculate in the Fall of 2019 or later
- Transfer students who matriculate in the Spring of 2020 or later
- Students who rematriculate in the Fall of 2019 or later
Sample Course Sequence
Freshman Fall Semester | Credits | | Spring Semester | Credits | First Year Seminar 101 | 1 credit | | First Year Seminar 102 | 1 credit | WRT 101 | 3 credits | | WRT 102 | 3 credits | AMS 151 (QPS) | 3 credits | | AMS 161 | 3 credits | CSE 101 or CSE 103 (TECH) | 4 credits | | CSE 114 (TECH) | 4 credits | SBC | 3 credits | | SBC | 3 credits | Total | 14 credits | | Total | 14 credits | Sophomore Fall Semester | Credits | | Spring Semester | Credits | Additional Calculus or Computer Science Foundations | 4 credits | | Linear Algebra Course (STEM+) | 3 credits | CSE 214 | 4 credits | | AMS 310 (STEM+) | 3 credits | SBC | 3 credits | | SBC | 3 credits | Elective | 3 credits | | SBC | 3 credits | Elective | 3 credits | | Elective | 3 credits | Total: | 17 credits | | Total: | 15 credits | Junior Fall Semester | Credits | | Spring Semester | Credits | CSE 312 | 3 credits | | CSE 300 (SPK/WRTD) | 3 credits | Concentration Course 1 | 3 credits | | UD Technical Elective | 3 credits | Upper Division (UD) Elective | 3 credits | | CSE 351 | 3 credits | Elective | 3 credits | | Concentration Course 2 | 3 credits | Elective | 3 credits | | Elective | 3 credits | | | | | | Total: | 15 credits | | Total: | 15 credits | Senior Fall Semester | Credits | | Spring Semester | Credits | UD Technical Elective | 3 credits | | UD Technical Elective | 3 credits | UD Concentration Course 3 | 3 credits | | UD Concentration Course 4 | 3 credits | UD Elective | 3 credits | | UD Elective | 3 credits | UD Elective | 3 credits | | UD Elective | 3 credits | UD Data Analysis Course | 3 credits | | SBC | 3 credits | Total: | 15 credits | | Total: | 15 credits | |
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