Departments
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Interdisciplinary Unit Data Science and Analytics
Understanding the entire data science pipeline from collecting data to writing reports is critical to be a successful data scientist.
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Mathematics
Mathematics, especially statistics, are an incredible important skill for data scientists and analysts.
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Computer Information Systems
Understanding computer science is needed for many aspects of data science inclusing data collection, data cleaning, analysis, and reports.
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Communications
Mass communications and journalism is an evolving discipline that is increasingly leveraging the skills and tools of data scientists.
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Geography and Planning
Understanding geospatial programming is important to be able to work with spatial data to be able to model where and why things happen.
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Business
The Professional Science Masters (PSM) degree has been referred to as the MBA for STEM. Therefore understanding business practices and being able to communicate effectively is very important to be successful as a data scientist.
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Higher Education Administration
The Data Management and Storytelling Micro-Credential was created in collaboration with the Buffalo State Higher Education Administration Department.