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If you’re curious about how data shapes decisions in the world, the data analytics major is right for you. This interdisciplinary program helps you build data acumen—the ability to think critically and creatively with data. You won’t just learn technical skills; you’ll develop a mindset that combines computing, statistics, and communication to solve real-world problems. Through hands-on projects and exposure to real datasets, you’ll learn how to use technology effectively and communicate insights clearly. With two tracks—one focused on social and behavioral sciences and the other on math and computer science—you can choose the path that fits your interests and career goals.
Employers value professionals who can interpret complex data and turn it into actionable insights—and that’s exactly what you’ll learn here. With a degree in data analytics, you can become a data analyst, business intelligence specialist, data engineer, or data scientist in industries like finance, health care, tech, marketing, or government. This major also prepares you for graduate programs in data science, economics, psychology, and more. Whether you want to influence business strategy, improve health care outcomes, or shape social policy, this degree gives you the tools to make an impact.
The program information listed here reflects the approved curriculum for the 2026–27 academic year per the Brooklyn College Bulletin. Bulletins from past academic years can be found here.
The central goal of the interdisciplinary major in data analytics is to cultivate data acumen, the ability to make creative and sound judgments and decisions with data. Data acumen is more than a skill; indeed, it draws on multiple skills. Rather, it is a perspective based on the logic of inquiry, a way of seeing and understanding practices and processes in a multitude of contexts and professions. There is much talk these days of “data-driven decision-making” in organizations across a variety of institutional settings. Data acumen is a capacity to make good data-driven decisions. It requires a sophisticated understanding of data practices, statistics, and other forms of analysis, computing, and effective communication.
To cultivate data acumen, it is necessary for students to engage critically with data analysis practices in three key ways:
The curriculum of the data analytics major is designed to give students opportunities to explore and perform these practices in different disciplinary settings. To be prepared for careers in data analytics, students will encounter real-world data practices and solve real-world data problems in business, natural science, and social and behavioral science contexts.
The program has a two-track structure, one track that emphasizes the social and behavioral sciences and the other that emphasizes mathematics and computer sciences, so students can pursue the path that matches their career aspirations.
The program values student-centered curriculum and scheduling. The program director, with the approval of the program curriculum committee, may allow substitutions for one or more of the degree requirements consistent with the learning goals of the program. Courses satisfying the requirements for a second major or minor may also be counted toward the requirements of the B.A. in data analytics.
Students completing this track will have satisfied the requirements for a minor in computer science.
Students must complete a data analysis research project to receive departmental honors. This requires one of the following: BUSN 5100, SOCY 4900, CISC 4900, PSYC 5001. The honors project must be approved in advance by the program director.
Students completing the degree in data analytics will be able to demonstrate:
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Through job fairs, the internship database, and internship panels, the Magner Career Center gives students in the B.A. program in data analytics access to career opportunities at a wide variety of employers.
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