The Mathematics Department offers an Associate in Science (A.S.) degree in Data Science. This field is popular and growing rapidly, offering many excellent opportunities for employment. Data scientists use a combination of domain data, computer science and statistical tools to extract specific information as needed. Industries that make use of data science include banking and finance, government, energy and utilities, media and entertainment, retail, transportation, education and manufacturing, to name a few.
Data Science majors will work on real life examples such as global warming, online sales, elections, investment analysis and COVID vaccine development. In addition to learning the technical skills of manipulating data, you will develop critical thinking skills using technological and mathematical methods to extract relevant information. The program will prepare you for transfer into data science programs at senior colleges with no loss of credit and for a competitive job market in a lucrative and interesting field.
Transfer Options
Upon successful completion of the program, students are able to transfer seamlessly into Data Science programs at John Jay College of Criminal Justice and New York City College of Technology.
Explore Careers
BMCC is committed to students’ long-term success and will help you explore professional opportunities. Undecided? No problem. The college offers Career Coach for salary and employment information, job postings and a self-discovery assessment to help students find their academic and career paths. Visit Career Express to make an appointment with a career advisor, search for jobs or sign-up for professional development activities with the Center for Career Development. Students can also visit the Office of Internships and Experiential Learning to gain real world experience in preparation for a four-year degree and beyond. These opportunities are available to help BMCC students build a foundation for future success.
Contact
Professor Andrew Stout
Program Advisor
astout@bmcc.cuny.edu
Related Communities
New major began with an NSF-funded curriculum project infusing data science into existing math courses.
Requirements
Data Science Program Maps
Required Common Core
| English Composition | 6 |
| Mathematical and Quantitative Reasoning1 | 3 |
| Life and Physical Sciences | 3 |
| TOTAL REQUIRED COMMON CORE | 12 |
Flexible Core2
| Creative Expression | 3 |
| Individual and Society | 3 |
| Scientific World3 | 6 |
| U.S. Experience in Its Diversity | 3 |
| World Cultures and Global Issues | 3 |
| TOTAL FLEXIBLE COMMON CORE | 18 |
| TOTAL COMMON CORE | 30 |
Curriculum Requirements
- This course covers fundamental mathematical topics associated with computer information systems, including: numeration systems; sets and logic; Boolean algebra, functions, and elementary switching theory; combinatorics; mathematical induction; permutations; combinations; binomial coefficients; and distributions.
Prerequisite: MAT 12 or MAT 51; and MAT 56 or MAT 56.5 or MAT 206.5.
Course Syllabus - This is an integrated course in analytic geometry and calculus, applied to functions of a single variable. It covers a study of rectangular coordinates in the plane, equations of conic sections, functions, limits, continuity, related rates, differentiation of algebraic and transcendental functions, Rolle's Theorem, the Mean Value Theorem, maxima and minima, and integration.
Prerequisite: MAT 206 or MAT 206.5
Course Syllabus - This course provides an introduction to the concepts of formal integration. It covers the differentiation and integration of algebraic, trigonometric, and transcendental functions. Topics include the definite integral, the antiderivative, areas, volumes, and the improper integral.
Prerequisite: MAT 301
Course Syllabus
Program Electives – Select nine (9) credits from the following:
Footnotes
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Students are required to take MAT 206 or MAT 206.5.
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No more than two courses in any discipline or interdisciplinary field can be used to satisfy the Flexible Common Core requirements.
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Students are required to take CSC 103 and CSC 111.
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The credits can be satisfied by taking STEM variants in the Common Core.
