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Program checklist · Statistics and Data Science Major

Statistics and Data Science Major

College of the Holy Cross · Worcester, MA

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
Statistics and Data Science Major
Catalog edition
Catalog 2026-2027
Checklist type
degree-program
Description
Students with a score of 4 or 5 on the AP Computer Science A exam earn one unit of credit for CSCI 131 Techniques of Programming . Students with AP Computer Science A credit will forfeit their AP credit if they opt to take CSCI 131 Techniques of Programming , CSCI 110 Survey of Computer Science or STAT 199-F01 Introduction to Programming in Python . AP Computer Science A credit counts towards fulfilling the statistics and data science major requirements. A score of 4 or 5 on the AP Computer Science Principles exam will earn one unit of credit for CSCI 110 Survey of Computer Science . This course does not count toward fulfilling the statistics and data science major requirements. A score of 4 or 5 on either AP Computer Science exam fulfills the mathematical science common area requirement.
Identifiers
IPEDS UNITID
166124
CourseShelf checklist
CK_166124_b548bfc9_1
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

0 items

    Required Courses

    4 items
    1. MATH 135
      Calculus
      As published: “Calculus 1”
      or: MATH 133 Calculus 1 with Fundamentals
      1
    2. MATH 136
      Calculus
      As published: “Calculus 2”
      2
    3. MATH 241
      Multivariable Calculus Course count
      As published: “Multivariable Calculus”
      1
    4. CSCI 131
      Techniques of Programming Course count
      As published: “Techniques of Programming”
      or: STAT 199-F01 Introduction to Programming in Python
      1

    Select one of the following introductory statistics courses:

    Choose 1 of the following · Select one of the following introductory statistics courses: · 6 items
    1. BIOL 275
      Biological Statistics Course count
      As published: “Biological Statistics”
      1
    2. ECON 149
      Statistical Analysis Course count
      As published: “Statistical Analysis”
      1
    3. ECON 249
      Statistics Course count
      As published: “Statistics”
      1
    4. PSYC 200
      Statistics Course count
      As published: “Statistics”
      1
    5. SOCL 226
      Social Statistics Course count
      As published: “Social Statistics”
      1
    6. STAT 220
      Statistics Course count
      As published: “Statistics”
      1

    Required Courses:

    4 items
    1. STAT 231
      Linear Models Course count
      As published: “Linear Models”
      or: ECON 314 Econometrics
      1
    2. STAT 232
      Categorical Data Analysis Course count
      As published: “Categorical Data Analysis”
      1
    3. STAT 375
      Probability Theory Course count
      As published: “Probability Theory”
      1
    4. STAT 376
      Statistical Inference Course count
      As published: “Statistical Inference”
      1

    Select three of the following elective courses, with at least one at the 300-level:

    Choose 3 of the following · Select three of the following elective courses, with at least one at the 300-level: · electives · 16 items
    1. STAT 225
      Experimental Design Course count
      As published: “Experimental Design”
      1
    2. STAT 226
      Bayesian Statistics Course count
      As published: “Bayesian Statistics”
      1
    3. STAT 280
      Computational Statistics Course count
      As published: “Computational Statistics”
      1
    4. STAT 380
      Statistical Computing Course count
      As published: “Statistical Computing”
      1
    5. STAT 382
      Causal Inference Course count
      As published: “Causal Inference”
      1
    6. STAT 381
      Statistical Learning Course count
      As published: “Statistical Learning”
      1
    7. STAT 392
      Seminar Course count
      As published: “Seminar”
      1
    8. STAT 400
      Directed Reading Course count
      As published: “Directed Reading”
      1
    9. STAT 410
      Directed Project Course count
      As published: “Directed Project”
      1
    10. ACCT 286
      Data Analytics Course count
      As published: “Data Analytics”
      1
    11. BIOL 383
      Applied Evolution Course count
      As published: “Applied Evolution”
      1
    12. CSCI 307
      Data Mining Course count
      As published: “Data Mining”
      1
    13. CSCI 357
      Machine Learning Course count
      As published: “Machine Learning”
      1
    14. MATH 243
      Mathematical Structures Course count
      As published: “Mathematical Structures”
      1
    15. MATH 244
      Linear Algebra Course count
      As published: “Linear Algebra”
      1
    16. MATH 361
      Real Analysis 1 Course count
      As published: “Real Analysis 1”
      1
    Source. College of the Holy Cross, catalog Catalog 2026-2027 — https://catalog.holycross.edu/academic-plans/mathematics-computer-science/statistics-data-science-major/. Captured page pages/0106.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.