2022 Data Science Curriculum

The Bachelor of Science in Data Science synthesizes applied mathematics, high-performance computing, data management and analysis to provide a well-rounded interdisciplinary education for the new generation of Data Scientists. It develops strong technical skills, critical thinking, and problem-solving abilities that are highly rated by companies in all fields, including but not limited to, finance, programming, education, medicine and biology. Our goal is to equip our graduates with a solid platform in mathematics, computing and data management and analysis; the program also provides pathways for employment after graduation, as well as for admission to graduate programs, including CUNY’s own MS in Data Science at the CUNY Graduate Center.

Student Learning Outcomes: General

Students demonstrate:

1. An ability to apply the knowledge, techniques, skills, and modern tools of the discipline to Data Science activities.
2. An ability to apply a knowledge of mathematics, science, engineering, and technology to Data Science problems that require application of principles and practical knowledge.
3. An ability to conduct standard tests and measurements, and to conduct, analyze, and interpret experiments.
4. An ability to function effectively as a member of a technical team.
5. An ability to apply written, oral, and graphical communication in both technical and non-technical environments; and an ability to identify and use appropriate technical literature.
6. Demonstrate an understanding of the need for and an ability to engage in self-directed continuing professional development.
7. Demonstrate an understanding of and a commitment to address professional and ethical responsibilities, including a respect for diversity.
8. A commitment to quality, timeliness, and continuous improvement in professional practice.

Student Learning Outcomes: Discipline-Specific

Data Science students demonstrate knowledge and hands on competence in:

1. Analyzing, designing, and implementing data science algorithms along while performing analytics.
2. Demonstrating a deep knowledge of: Data Mining, Data Management, Data Analytics, Information Retrieval; enabling students to gain employment in the data science field.
3. Demonstrate an understanding of how management uses data science systems to operate business enterprises.
4. Demonstrate a deep understanding of techniques for visualizing multivariate, temporal, text-based, geospatial, hierarchical, and network/graph-based data.
5. Demonstrate an understanding of the ethics and privacy issues that arise from the process of managing and mining user data.