Master of Science in Data Science
Quickly emerging as a critical field in a variety of industries, data science encompasses activities ranging from collecting raw data and processing and extracting knowledge from that data, to effectively communicating those findings to assist in decision making and implementing solutions.
The STEM-designated M.S. in Data Science integrates skills from computer science, mathematics, statistics and applications to leverage the knowledge embedded in data into its curriculum. The STEM designation allows international students to apply to extend their 12-month optional practical training (OPT) by an additional 24 months.
Students learn cutting-edge techniques to analyze data from data mining, machine learning, data visualization and cloud computing, and even pursue certification in Amazon Web Services and Tableau.
Their education will be further bolstered by real world projects and internships, made possible through the program's active relationships with such leading companies as Barnes and Noble, Google, Facebook, Celgene, Comcast, Chase and Amazon.
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Program Highlights
- 30 credits
- Completed in 16 months
- STEM-Designated
Industry Statistics
252%
Growth of national demand for data science experts in the last two years (EAB)
$108,000
Median base salary for data scientists in the United States (Glassdoor)