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Program checklist · MS

Data Science and Statistics, MS

Binghamton University · Vestal, NY

A checklist is the list of requirements to complete this program and receive the award, as the college publishes it in its catalog. It is the same for everyone. It does not say what you have completed; that comes from applying your own record.

Program
Award
MS
Credential class
ceterms:MasterDegree
Catalog edition
2026-2027 Binghamton University Academic Guide
Checklist type
degree-program
Description
The MS in Data Science and Statistics program provides students with a solid foundation of practical knowledge to work with applied statistics in depth, preparing them for future careers in the public and private sectors as data scientists, consultants and engineers who manage and analyze data. The statistics component gives broad training. The master’s degree prepares students for jobs as statisticians and data analysts in government and industry. Students are given training in many diverse statistical methods used to analyze data, as well as the mathematical, statistical and probabilistic foundation.
Identifiers
IPEDS UNITID
196079
CourseShelf checklist
CK_196079_bc46d4a6
CollegeTransfer.Net
Institution Transfer Profile
Source
CourseShelf publish 61

Requirements to complete

Every course or condition the catalog lists, in the catalog's order.

Program Admission Requirements

0 items

    Program Requirements

    0 items

      MS in Data Science and Statistics Course Requirements

      20 items
      1. Core Requirements:
        Not resolved to a course
      2. One of the following options
        Not resolved to a course
      3. MATH 500
        Probability and Statistics for Data Science OR
        Not resolved to a course
      4. MATH 501
        Probability AND MATH 502 Statistical Inference (more rigorous option)
        Not resolved to a course
      5. MATH 530
        Computational Linear Algebra
        Not resolved to a course
      6. MATH 531
        Stats Modeling with Regression
        Not resolved to a course
      7. Practical Training and Capstone Requirements:
        Not resolved to a course
      8. MATH 534
        Practical Data Analysis
        Not resolved to a course
      9. MATH 540
        Capstone Seminar I
        Not resolved to a course
      10. One course from the following:
        Not resolved to a course
      11. MATH 532
        Gen. Linear & Mixed Models
        Not resolved to a course
      12. MATH 535
        Advanced Statistical Learning
        Not resolved to a course
      13. MATH 543
        Computational Statistics
        Not resolved to a course
      14. MATH 545
        Data Science Principles with R
        Not resolved to a course
      15. MATH 546
        Scientific Computing in Python
        Not resolved to a course
      16. MATH 556
        Experimental Design
        Not resolved to a course
      17. MATH 570
        Data Mining Multivariable Analysis
        Not resolved to a course
      18. Three or Four elective courses
        Not resolved to a course
      19. Students opting to take MATH 501 and MATH 502 must take three elective courses to fulfill this requirement
        Not resolved to a course
      20. Students opting to take MATH 500 must take four elective courses to fulfill this requirement.
        Not resolved to a course

      Additional Information About the Program

      0 items
        Source. Binghamton University, catalog 2026-2027 Binghamton University Academic Guide — https://catalog.binghamton.edu/preview_program.php?catoid=7&poid=2257&returnto=313. Captured page pages/0109.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.