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Program checklist · Data Science and Machine Learning, BS Major in

Data Science and Machine Learning, BS Major in

Hofstra University · Hempstead, 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 and Machine Learning, BS Major in
Credential class
ceterms:BachelorDegree
Total credits (published)
124
Catalog edition
2026-2027 Undergraduate Bulletin
Checklist type
degree-program
Description
The program prepares students for careers in data science, quantitative research, machine learning, and data analytics. The curriculum includes the mathematical and algorithmic and software knowledge and skills used in different aspects of data science, such as data analysis, modeling, and visualization, statistical analysis and inference, and machine learning. The program provides a strong foundation in mathematical methods used in data science, including linear algebra, and statistical inference as well as a wide range of computer science applied topics relevant to data science such as deep learning, computational finance, and AI. Students will also be exposed to data and data science problems in an additional discipline such as biology, economics, chemistry, neuroscience, linguistics, or others. Students will develop strong data analytics and computational skills. The program culminates with a capstone project in which students will apply their mathematics, data science and machine learning skills on a large dataset.
Identifiers
IPEDS UNITID
191649
CourseShelf checklist
CK_191649_eb648ca3
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 Requirements

0 items

    General Requirements

    4 items
    1. WSC 001
      Composition Semester Hours: 3-4
      Not resolved to a course
    2. or placement examination (footnote 1) and
      Not resolved to a course
    3. WSC 002
      Composition Semester Hours: 3
      Not resolved to a course
    4. 6 semester hours in Humanities distribution 6 semester hours in Social Sciences distribution. Students transferring in with previous social science/humanities credits may use them in place of requirements in the same category as the transferred credits. Students may not take courses on a Pass/D+/D/Fail basis.
      Not resolved to a course

    Natural Science Requirements

    9 items
    1. PHYS 011A
      (NS) General Physics Semester Hours: 4
      Not resolved to a course
    2. PHYS 011B
      (NS) General Physics Laboratory Semester Hours: 1
      Not resolved to a course
    3. PHYS 012A
      (NS) General Physics Semester Hours: 4
      Not resolved to a course
    4. PHYS 012B
      (NS) General Physics Laboratory Semester Hours: 1
      Not resolved to a course
      or: CHEM 003A - (NS) General Chemistry I Semester Hours: 3 - 4
    5. CHEM 003B
      (NS) General Chemistry Laboratory I Semester Hours: 1
      Not resolved to a course
    6. CHEM 004A
      (NS) General Chemistry II Semester Hours: 3
      Not resolved to a course
    7. CHEM 004B
      (NS) General Chemistry Laboratory II Semester Hours: 1
      Not resolved to a course
      or: BIOL 112 - (NS) General Biology I Semester Hours: 4
    8. BIOL 113
      (NS) General Biology II Semester Hours: 4
      Not resolved to a course
    9. see footnote 2
      Not resolved to a course

    Major Requirements

    0 items

      Major Courses

      18 items
      1. CSC 014
        (MA, CS) Discrete Structures for Computer Science I Semester Hours: 3
        Not resolved to a course
      2. CSC 015
        (CS) Fundamentals of Computer Science I: Problem Solving and Program Design Semester Hours: 4
        Not resolved to a course
      3. CSC 108
        Foundations of Data Science Semester Hours: 4
        Not resolved to a course
        or: MATH 080 - Foundations of Data Science Semester Hours: 4
      4. CSC 016
        (CS) Fundamentals of Computer Science II: Data Structures, Algorithms and Object-Oriented Programming Semester Hours: 4
        Not resolved to a course
      5. CSC 017
        (CS) Fundamentals of Computer Science III: Advanced Data Structures and Object-Oriented Programming Semester Hours: 3
        Not resolved to a course
      6. CSC 148
        Algorithms for Data Science Semester Hours: 3
        Not resolved to a course
        or: MATH 090 - Algorithms for Data Science Semester Hours: 3
      7. CSC 156
        Introduction to Machine Learning Semester Hours: 3
        Not resolved to a course
      8. CSC 163
        Computing, Ethics, and Society Semester Hours: 1
        Not resolved to a course
      9. CSC 170
        Principles of Database Management Semester Hours: 3
        Not resolved to a course
      10. CSC 174
        Introduction to Neural Networks and Deep Learning Semester Hours: 3
        Not resolved to a course
      11. CSC 177
        Introduction to Data Warehousing Semester Hours: 3
        Not resolved to a course
      12. MATH 071
        (MA) Analytic Geometry and Calculus I Semester Hours: 4
        Not resolved to a course
      13. MATH 072
        (MA) Analytic Geometry and Calculus II Semester Hours: 4
        Not resolved to a course
      14. MATH 085
        (MA) Multivariate Calculus and Linear Algebra Semester Hours: 3
        Not resolved to a course
      15. MATH 137
        (MA) Mathematical Probability and Statistics Semester Hours: 3
        Not resolved to a course
      16. MATH 138
        (MA) Mathematical Probability and Statistics Semester Hours: 3
        Not resolved to a course
      17. MATH 165
        (MA) Statistical Learning Semester Hours: 3
        Not resolved to a course
      18. MATH 166
        Advanced Mathematical Methods for Data Science Semester Hours: 3
        Not resolved to a course

      Capstone Project Course in Data Science

      1 item
      1. CSC 144
        DS CSC 144 A-Z - Independent Study Projects in Computer Science and Computer Engineering Semester Hours: 0.5-3
        Not resolved to a course
        or: MATH 199-DS MATH 199 A-Z - (MA) Special Studies in Mathematics Semester Hours: 3

      Technical Electives

      8 items
      1. CSC 125
        Introduction to Concurrent and Parallel Programming Semester Hours: 3
        Not resolved to a course
      2. CSC 149
        Introduction to Text Mining Semester Hours: 3
        Not resolved to a course
      3. CSC 157
        Introduction to Data Mining Semester Hours: 3
        Not resolved to a course
      4. CSC 158
        Introduction to Artificial Intelligence Semester Hours: 3
        Not resolved to a course
      5. CSC 164
        Introduction to Computational Finance Semester Hours: 3
        Not resolved to a course
      6. MATH 131
        (MA) Elementary Differential Equations Semester Hours: 3
        Not resolved to a course
      7. MATH 157
        Mathematics of Financial Derivatives Semester Hours: 3
        Not resolved to a course
      8. MATH 199 A-Z
        (MA) Special Studies in Mathematics Semester Hours: 3
        Not resolved to a course

      Additional Electives in a Data Intensive Discipline

      0 items

        A grade of C- or Better

        0 items

          An Overall Average of C or Better

          0 items

            Footnotes

            0 items
              Source. Hofstra University, catalog 2026-2027 Undergraduate Bulletin — https://bulletin.hofstra.edu/preview_program.php?catoid=147&poid=32518&returnto=28222. Captured page pages/0219.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.