Data science and analytics is interdisciplinary by nature and our program reflects this. The Interdisciplinary Unit in Data Science and Analytics (IUDSA) is a collaboration between faculty of Mathematics, Computer Information Systems, Communication, Geography and Planning, and Business. Students will have the benefit of studying from experts in their respective fields in a coordinated curriculum.
Understanding the entire data science pipeline from collecting data to writing reports is critical to be a successful data scientist.
Mathematics, especially statistics, are an incredible important skill for data scientists and analysts.
Understanding computer science is needed for many aspects of data science inclusing data collection, data cleaning, analysis, and reports.
Mass communications and journalism is an evolving discipline that is increasingly leveraging the skills and tools of data scientists.
Understanding geospatial programming is important to be able to work with spatial data to be able to model where and why things happen.
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.
The Data Management and Storytelling Micro-Credential was created in collaboration with the Buffalo State Higher Education Administration Department.
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