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Program checklist · Dual Undergraduate/Graduate Degree

Computer Science, Bachelor of Arts (BA) and Master of Science (MS), Dual-degree Program

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
Dual Undergraduate/Graduate Degree
Credential class
ceterms:MasterDegree
CIP
51.1499
Catalog edition
2026-2027 Undergraduate Bulletin
Checklist type
degree-program
SOC
19-1042
Identifiers
IPEDS UNITID
191649
CourseShelf checklist
CK_191649_0987e478
CollegeTransfer.Net
Institution Transfer Profile
Source
CourseShelf publish 61

Requirements to complete

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

Mission Statement

0 items

    Program Description

    0 items

      Direct admission to the dual-degree program (BA and MS)

      2 items
      1. A minimum cumulative GPA of 3.0 at the time of application to the MS program, or upon completion of 78 s.h. of course work toward their BA degree in computer science.
        Not resolved to a course
      2. Successful completion of core CSC courses: CSC 014 , 015 , 016 , 017 , 110 ,and at least one of the courses CSC 112 , 120 , 123 by the end of the semester in which they apply for admission to the dual-degree program.
        Not resolved to a course

      Admission requirements for currently enrolled Hofstra students

      3 items
      1. Undergraduate GPA of at least 3.0.
        Not resolved to a course
      2. Completion of core CSC courses: CSC 014 , 015 , 016 , 017 , 110 , and at least one of the courses CSC 112 , 120 , 123 .
        Not resolved to a course
      3. Applicants must submit applications after successfully completing a minimum of 78 undergraduate s.h. but prior to enrolling in their last 12 s.h. of course work toward the BA in computer science.
        Not resolved to a course

      Program Requirements

      0 items

        Concentration in Artificial Intelligence

        0 items

          The concentration consists of 12 semester hours. It includes

          8 items
          1. CSC 156
            Introduction to Machine Learning Semester Hours: 3
            Not resolved to a course
          2. CSC 158
            Introduction to Artificial Intelligence Semester Hours: 3
            Not resolved to a course
          3. and one additional course chosen from the list below:
            Not resolved to a course
          4. CSC 145 A-Z
            Special Topics in Computer Science and Computer Engineering Semester Hours: 1-3
            Not resolved to a course
          5. CSC 149
            Introduction to Text Mining Semester Hours: 3
            Not resolved to a course
          6. CSC 157
            Introduction to Data Mining Semester Hours: 3
            Not resolved to a course
          7. CSC 173
            Introduction to Computer Vision Semester Hours: 3
            Not resolved to a course
          8. Only two courses from the above list can be used towards technical electives.
            Not resolved to a course

          3 Semester Hours

          0 items

            First Semester

            2 items
            1. CSC 197A
              Independent Senior Design I Semester Hours: 1
              Not resolved to a course
            2. CSC 197B
              Independent Senior Design II Semester Hours: 1
              Not resolved to a course

            Second Semester

            2 items
            1. CSC 198F
              Senior Seminar Semester Hours: .5
              Not resolved to a course
            2. CSC 198S
              Senior Seminar Semester Hours: .5
              Not resolved to a course

            Graduation Requirements

            2 items
            1. Completion of all program requirements.
              Not resolved to a course
            2. A minimum grade point average of 3.0 in overall graduate course work.
              Not resolved to a course
            Source. Hofstra University, catalog 2026-2027 Undergraduate Bulletin — https://bulletin.hofstra.edu/preview_program.php?catoid=147&poid=32180&returnto=28222. Captured page pages/0323.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.