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Fall enrollment open for data science and machine learning professional master’s and graduate certificate programs

 

The University of Maryland’s College of Computer, Mathematical, and Natural Sciences (CMNS) has launched the Science Academy to provide graduate education programs for working professionals who want to advance their knowledge and skills in key areas like data science and machine learning.

“Working professionals in nearly every field need data-related skills to stay current and advance in their careers,” said CMNS Dean Amitabh Varshney. “Science Academy programs cater to a workforce that recognizes the need for the knowledge and expertise that are required to compete in the 21st-century global economy.”

Science Academy programs currently include: 

  • Data Science - Master of Professional Studies (30 credits) or Graduate Certificate (12 credits): Students learn to design, conduct, interpret, and communicate data analysis tasks and studies using methods and tools of statistics, machine learning, computer science, and communications.
  • Machine Learning - Master of Professional Studies (30 credits): Students master the methods and techniques of creating models and algorithms that learn from and make decisions or predictions based on data. They also explore advanced topics such as deep learning, optimization, big data analysis, and signal/image understanding.

All courses take place in the evenings on UMD’s campus and are taught by faculty members who are leading experts in their fields and are committed to teaching excellence. For example, Mathematics Professor Leonid Koralov is currently teaching the Science Academy course on probability and statistics.

Courses are taught on a 12-week term schedule, which means students can complete a Master of Professional Studies degree in as little as 15 months or a Graduate Certificate in six months, while also working.

The registration deadline for international students is March 13, 2020. Domestic students should apply by July 1, 2020 for best consideration.

“This is just the beginning for the Science Academy,” Varshney added. “Our long-term goal is to broadly expand access to the University of Maryland’s knowledge and expertise in the sciences. These programs in data science and machine learning are the perfect way for us to begin addressing the learning needs of the workforce in the federal government and in industries that span from medicine and weather to telecommunications and cybersecurity.”


For more information on the Science Academy, visit scienceacademy.umd.edu.