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
- MS
- Credential class
- ceterms:MasterDegree
- Catalog edition
- 2026-2027 Undergraduate Catalog
- Checklist type
- degree-program
- Description
- Return to: Academic Departments 5 year multi-award degree program that allows students to get both a Bachelors in Computer Information Systems and a Masters in Data Science. Students apply during their undergraduate studies and if accepted begin taking graduate courses the first semester of their 4th year. In Computer Science and Information Systems undergraduate BS degree, students will learn and apply Algorithms, Optimization, and Software Development strategies in the contexts of Artificial Intelligence, Machine learning, Network and Web Technologies, and Data Management. The degree culminates in a System Design capstone project equipping students with the computer science skills they need to work on complex real world projects. The 36-credit interdisciplinary Data Science Master’s Degree provides a strong background in data science methodologies. The program has strong emphasis on the areas of programming, data management, data mining, machine learning and statistics. The degree culminates in a course in project management, a real world internship experience and a two-semester capstone Data Science Project. The interdisciplinary Data Science Master’s Degree provides a strong background in data science methodologies. The program has strong emphasis on the areas of programming, data management, data mining, artificial intelligence, machine learning and statistics. The degree culminates in a course in project management, a real-world internship experience and a two-semester capstone Data Science Project. Data science technologies have completely changed the way businesses plan and manage their operations. We see it in our everyday life, from recommender systems to large language models and natural language processing. And data science is behind the framework of decisions we do not see, such as managing large government entities, business intelligence, healthcare and educational management. We even see it in sports and entertainment. Graduates will be prepared to participate in this fast-arriving new world. For a student to apply to the program the student would fill out the change of major form in the portal. This would initiate the process. Admittance to the program requires a minimum of a 3.0 GPA and a minimum of a 3.0 GPA in Computer Science and Mathematics classes that count towards the major. Candidates submit an application that includes an essay. After receipt of the request through the portal form, and receipt of the essay and any test scores a committee (including the Graduate Director) will review the applications. To remain in the program, the student should maintain a GPA of 3.0 in the major.
Identifiers
- IPEDS UNITID
- 196237
- CourseShelf checklist
- CK_196237_0da29dd6
- CollegeTransfer.Net
- Institution Transfer Profile
- Source
- CourseShelf publish 61
Requirements to complete
Every course or condition the catalog lists, in the catalog's order.
Undergraduate Core Courses: 40 Credits (10 courses )
10 items
- CS 2510Computer Programming INot resolved to a course4
- CS 2511Computer Programming IINot resolved to a course4
- CS 3620Computer Architecture INot resolved to a course4
- CS 3810Data Structures and AlgorithmsNot resolved to a course4
- CS 3911C++ and Object-Oriented ProgrammingNot resolved to a course4
- CS 4100Technical CommunicationsNot resolved to a course4
- CS 4501Software EngineeringNot resolved to a course4
- CS 4550Database Management SystemsNot resolved to a course4
- CS 4720Internet and Web TechnologiesNot resolved to a course4
- CS 5910System Design & ImplementationNot resolved to a course4
Undergraduate Elective Courses: 12 Credits (3 courses)
0 items
Undergraduate Mathematics Courses: 16 Credits (4 courses)
4 items
- MA 2310Calculus & Analytic Geometry INot resolved to a course4
- MA 3030Discrete MathematicsNot resolved to a course4
- MA 3160Linear AlgebraNot resolved to a course4
- MA 3210Introduction to Probability and StatisticsNot resolved to a course4
Required Additional Undergraduate Math Course 4 Credits (1 course) Take One Of The Following
2 items
- MA 2320Calculus & Analytic Geometry IINot resolved to a course4
- MA 3240Mathematics for AINot resolved to a course4
Graduate Courses Taken During Undergrad 6 Credits (2 courses)
0 items
Graduate Course Requirements 27 Credits (9 courses)
0 items
Graduate Data Science Elective 3 credits (1 course) Choose one of the following
0 items
Source. SUNY Old Westbury, catalog 2026-2027 Undergraduate Catalog — https://oldwestbury.catalog.acalog.com/preview_program.php?catoid=19&poid=1875&returnto=502. Captured page pages/0075.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.