Many professions leverage statistical analysis, operations research or other approaches to data analysis.
- Meta S. Brown, Creator Storytelling for Data Analysis
Data science is a significant component in decision-making models used by executives and managers in organizations of nearly every size, structure and industry. Through its interdisciplinary structure, the SUNY Old Westbury Data Science program prepares students to solve problems in a broad array of application areas by providing students with both the scientific training and business skills necessary to advance and succeed, particularly in a STEM career field.
This degree is specifically designed as a hybrid degree combining a rigorous data science-based curriculum with courses that provide other industry-relevant skill sets. Its foundation is in data management. Its methods are statistics, pattern recognition, artificial intelligence, and machine learning.
The 36-credit interdisciplinary Data Science Master’s Degree provides a strong background in data science methodologies. The program has strong emphasis on the areas of programming, data management, data mining, machine learning and statistics. The degree culminates in a course in project management, a real world internship experience, and a two-semester capstone Data Science Project.
The data science technologies have completely changed the way businesses do strategic planning to manage their operations more efficiently and to serve their customers more effectively. These developments have created tremendous opportunities for innovation by tapping the enormous potential for the benefit of society. Graduates will be prepared to participate in these innovative opportunities.
Time To Degree
The Master of Science in Data Science may be completed in four semesters. An evening class schedule is used exclusively to accommodate both full and part-time students.