Data Science

The bachelor of science in Data Science equips students with the essential skills to succeed in the fast-growing field of data science. Graduates can pursue careers in a wide range of industries, such as technology, healthcare, finance, and government, with employers including top tech companies, research institutions, and government agencies. Students also have opportunities to continue their education at the CUNY Graduate Center and other graduate programs.

The curriculum offers a comprehensive understanding of data analysis, machine learning, and data visualization, and is designed to provide both theoretical knowledge and practical experience. Students gain hands-on skills through internships, research projects, and exposure to the latest tools and technologies in data science. The program's flexible pacing and course options, including evening, weekend, and online classes, allow students to tailor their education to fit their schedules. With specialized faculty expertise and a balance of technical and liberal arts education, the program prepares graduates for success in a range of data science careers.

Learning Outcomes

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.

Articulation Agreements

• Borough of Manhattan Community College (BMCC) in process

Please refer to the college website to see the full text of the agreement.

Advisement Information

The program has a team of 20 full-time faculty advisors available to support students in course selection, career guidance, and academic progression. Students can find advisement details here: City Tech Computer Systems Advisement

 Internship Coordinator: Tamrah Cunningham

• Office: Namm Hall N-912

• Email: tcunningham@citytech.cuny.edu

• Office Hours: Monday: 9:00 AM - 10:00 AM Wednesday: 9:00 AM - 10:00 AM

CUNY 2X Initiative: The CUNY 2X Initiative at City Tech connects students with NYC businesses, providing career development support through mentorship, hackathons, career fairs, and job placement assistance within six months of graduation.