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Program checklist · Data Science Major and Minor Requirements

Data Science Major and Minor Requirements

St Lawrence University · Canton, 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
Data Science Major and Minor Requirements
CIP
30.4901
Catalog edition
2026
Checklist type
degree-program
Identifiers
IPEDS UNITID
195216
CourseShelf checklist
CK_195216_6e93f95b
CollegeTransfer.Net
Institution Transfer Profile
Source
CourseShelf publish 61

Requirements to complete

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

Major Requirements

11 items
  1. MATH 135
    MATH 135: Calculus I
    Not resolved to a course
  2. MATH 136
    MATH 136: Calculus II
    Not resolved to a course
  3. CS 140
    CS 140: Introduction to Computer Programming
    Not resolved to a course
  4. CS 219
    CS 219: Intermediate Computer Programming
    Not resolved to a course
  5. STAT 113
    STAT 113: Applied Statistics
    Not resolved to a course
  6. STAT 213
    STAT 213: Applied Regression Analysis
    Not resolved to a course
  7. MATH 217
    MATH 217: Linear Algebra
    Not resolved to a course
  8. CS 256
    CS 256: Data Structures
    Not resolved to a course
  9. CS 345
    CS 345: Database Systems
    Not resolved to a course
  10. DATA 234
    DATA 234: Foundations of Data Science
    Not resolved to a course
  11. DATA 352
    DATA 352: Statistical and Machine Learning
    Not resolved to a course

Group 1 (Technical Electives)

13 items
  1. MATH 205
    MATH 205: Multivariable Calculus
    Not resolved to a course
  2. MATH 230
    MATH 230: Differential Equations
    Not resolved to a course
  3. MATH 318
    MATH 318: Graph Theory
    Not resolved to a course
  4. CS 332
    CS 332: Web Programming
    Not resolved to a course
  5. CS 340
    CS 340: Software Engineering
    Not resolved to a course
  6. CS 362
    CS 362: Algorithm Analysis
    Not resolved to a course
  7. CS 374
    CS 374: Artificial Intelligence
    Not resolved to a course
  8. DATA 334
    DATA 334: Data Visualization
    Not resolved to a course
  9. STAT 226
    STAT 226: Statistical Methods of Data Collection
    Not resolved to a course
  10. STAT 313
    STAT 313: Advanced Linear Models
    Not resolved to a course
  11. STAT 325
    STAT 325: Probability
    Not resolved to a course
  12. STAT 326
    STAT 326: Mathematical Statistics
    Not resolved to a course
  13. STAT 343
    STAT 343: Time Series Analysis
    Not resolved to a course

Group 2 (Applied Electives)

18 items
  1. BIOL 303
    BIOL 303: Biostatistics
    Not resolved to a course
  2. CHEM 205
    CHEM 205: Quantitative Analysis
    Not resolved to a course
  3. CHEM 342
    CHEM 342: Thermodynamics and Kinetics
    Not resolved to a course
  4. ECON 342
    ECON 342: Econometrics
    Not resolved to a course
  5. GEOL 233
    GEOL 233: Geographic Information Systems
    Not resolved to a course
  6. GEOL 319
    Hydrology and Hydrogeology
    As published: “GEOL 319: Hydrology and Hydrogeology”
  7. GEOL 333
    GEOL 333: Advanced Geographic Information Systems
    Not resolved to a course
  8. GEOL 362
    Geochemistry
    As published: “GEOL 362: Geochemistry”
  9. ENVS 323
    ENVS 323: Environmental Epidemiology
    Not resolved to a course
  10. ENVS 383
    ENVS 383: Energy Life Cycle Analysis
    Not resolved to a course
  11. PCA 365
    PCA 365: The Rhetoric of Algorithms
    Not resolved to a course
  12. PHYS 221
    PHYS 221: Modern Physics I
    Not resolved to a course
  13. PHYS 222
    PHYS 222: Modern Physics II
    Not resolved to a course
  14. PSYC 205
    PSYC 205: Research Methods in Psychology
    Not resolved to a course
  15. PSYC 401
    PSYC 401: Fundamentals of Learning
    Not resolved to a course
  16. SOC 301
    SOC 301: Quantitative Research Methods
    Not resolved to a course
  17. DATA 450
    DATA 450: Applied Data Science Seminar
    Not resolved to a course
  18. DATA 489
    DATA 489/498: Independent/Honors SYE
    Not resolved to a course

Minor Requirements

20 items
  1. CS 140
    CS 140. Introduction to Computer Programming
    Not resolved to a course
  2. CS 219
    CS 219. Intermediate Computer Programming
    Not resolved to a course
  3. CS 256
    CS 256. Data Structures
    Not resolved to a course
  4. STAT 113
    STAT 113. Applied Statistics
    Not resolved to a course
  5. STAT 213
    STAT 213. Applied Regression Analysis OR ECON 342. Econometrics
    Not resolved to a course
  6. DATA 234
    DATA 234. Foundations of Data Science
    Not resolved to a course
  7. CS 332
    CS 332. Web Programming
    Not resolved to a course
  8. CS 340
    CS 340. Software Engineering
    Not resolved to a course
  9. CS 345
    CS 345. Database Systems
    Not resolved to a course
  10. CS 362
    CS 362. Algorithm Analysis
    Not resolved to a course
  11. CS 374
    CS 374. Artificial Intelligence
    Not resolved to a course
  12. MATH 205
    MATH 205. Multivariable Calculus
    Not resolved to a course
  13. MATH 217
    MATH 217. Linear Algebra
    Not resolved to a course
  14. MATH 230
    MATH 230. Differential Equations
    Not resolved to a course
  15. MATH 318
    MATH 318. Graph Theory
    Not resolved to a course
  16. STAT 226
    STAT 226. Statistical Methods of Data Collection
    Not resolved to a course
  17. STAT 313
    STAT 313. Advanced Linear Models
    Not resolved to a course
  18. STAT 325
    STAT 325. Probability
    Not resolved to a course
  19. STAT 326
    STAT 326. Mathematical Statistics
    Not resolved to a course
  20. STAT 343
    STAT 343. Time Series Analysis
    Not resolved to a course
Source. St Lawrence University, catalog 2026 — https://www.stlawu.edu/offices/math-computer-science-and-statistics/major-and-minor-degree-requirements/data-science-major-and-minor-requirements. Captured page pages/0449.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.