
Bachelor of Arts - Data Science







About Bachelor of Arts - Data Science
In today’s world, a bachelor’s degree in data science from Manhattanville College can open career opportunities in a variety of industries. As employers are increasingly motivated to hire data scientists who can harness the power of data to help improve what they do, Manhattanville data science majors gain skills advantageous to fields like medicine, healthcare, environmental research, energy production, information security, finance, marketing, and more. In the Bachelor of Arts (B.A.) in Data Science and Bachelor of Science (B.S.) in Data Science degree programs, students will learn how to combine computer science, statistical modeling, analytics, data visualization, and an understanding of an organization’s goals to transform vast amounts of data into actionable insights with a profound impact on businesses and the communities they serve. Through opportunities to research and develop software in their field of interest and add depth to their data science education with a minor in a related area, Manhattanville’s B.S and B.A. in Data Science degree programs can be shaped to any personal and professional goals.
The Bachelor of Arts (B.A.) in Data Science program is designed with the flexibility to pursue a second major, minors, and unique electives, while the Bachelor of Science (B.S.) in Data Science entails deeper dives into math and science skills in a handful more credits.
Manhattanville’s research-driven curriculum includes projects and internship opportunities that allow data science majors to explore the ways data can affect change and learn how to effectively communicate the meaning behind data sets to stakeholders and the community.
As a data science major, students will gain skills essential to careers in data science, such as:
- Computer programming for data gathering, cleaning, and transformation
- Mathematics and statistics for foundational data analysis
- Machine learning for developing prediction models
- Communication skills for presenting their work to others
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