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Program checklist · B.S. Pure Data Science Track

Data Science, B.S. Pure Data Science Track

Siena College · Loudonville, 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
B.S. Pure Data Science Track
Credential class
ceterms:BachelorDegree
CIP
30.3001
Catalog edition
2026-2027 Undergraduate Catalog, Volume 85
Checklist type
degree-program
Identifiers
IPEDS UNITID
195474
CourseShelf checklist
CK_195474_90ddd990
CollegeTransfer.Net
Institution Transfer Profile
Source
CourseShelf publish 61

Requirements to complete

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

Requirements for the Major, B.S. in Data Science (37 - 42 credits)

0 items

    Students must complete the following Data Science Core (12 courses)

    17 items
    1. DATA - 110. Introduction to Exploratory Data Analysis and Visualization 3 credit(s)
      Not resolved to a course
    2. MATH - 220. Introduction to Data Mathematics 3 credit(s)
      Not resolved to a course
    3. ATDV - 110. Statistics for Social Science 3 credit(s) OR
      Not resolved to a course
    4. BAAS - 200. Business Statistics I 3 credit(s) OR
      Not resolved to a course
    5. STAT - 275. Introductory Statistics with Computation 3 credit(s)
      Not resolved to a course
    6. BAAS - 130. Business Mathematics 3 credit(s) OR
      Not resolved to a course
    7. MATH - 110. Calculus I 4 credit(s)
      Not resolved to a course
    8. BAAS - 140. Quantitative Business Analytics 3 credit(s) OR
      Not resolved to a course
    9. MATH - 120. Calculus II 4 credit(s)
      Not resolved to a course
    10. CSIS - 120. Software Development 4 credit(s)
      Not resolved to a course
    11. CSIS - 210. Data Structures 4 credit(s)
      Not resolved to a course
    12. CSIS - 320. Machine Learning 3 credit(s)
      Not resolved to a course
    13. CSIS - 350. Database Management Systems 3 credit(s)
      Not resolved to a course
    14. MATH - 230. Linear Algebra 3 credit(s)
      Not resolved to a course
    15. PHIL - 210. Ethics 3 credit(s) OR
      Not resolved to a course
    16. PHIL - 315. Ethics of Science and Technology 3 credit(s)
      Not resolved to a course
    17. DATA - 490. Data Science Team Project 3 credit(s)
      Not resolved to a course

    Requirements for the Pure Data Science Track (14-18 credits)

    4 items
    1. MATH - 250. Discrete Structures 4 credit(s)
      Not resolved to a course
    2. CSIS - 355. Advanced Database 3 credit(s) OR
      Not resolved to a course
    3. 3 credits of independent study or special topics courses approved by the FSC.
      Not resolved to a course
    4. CSIS - 385. Design and Analysis of Algorithms 3 credit(s)
      Not resolved to a course

    Two-course sequence in laboratory-based science: (4-8 credits)

    10 items
    1. PHYS - 130. General Physics I 4 credit(s)
      Not resolved to a course
    2. PHYS - 140. General Physics II 4 credit(s) OR
      Not resolved to a course
    3. CHEM - 110. General Chemistry I 3 credit(s)
      Not resolved to a course
    4. CHEM - 111. General Chemistry I Lab 1 credit(s)
      Not resolved to a course
    5. CHEM - 120. General Chemistry II 3 credit(s)
      Not resolved to a course
    6. CHEM - 121. General Chemistry II Lab 1 credit(s) OR
      Not resolved to a course
    7. BIOL - 110. General Biology I 4 credit(s)
      Not resolved to a course
    8. BIOL - 120. General Biology II 4 credit(s) OR
      Not resolved to a course
    9. ENVA - 205. Environmental Field Techniques 2 credit(s)
      Not resolved to a course
    10. ENVA - 210. Environmental Research Methods 2 credit(s)
      Not resolved to a course
    Source. Siena College, catalog 2026-2027 Undergraduate Catalog, Volume 85 — https://catalog.siena.edu/preview_program.php?catoid=21&poid=3249&returnto=767. Captured page pages/0125.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.