Strong Fall Enrollment in UMD’s Machine Learning and Data Science Programs for Working Professionals

Strong Fall Enrollment in UMD’s Machine Learning and Data Science Programs for Working Professionals

Strong Fall Enrollment in UMD’s Machine Learning and Data Science Programs for Working Professionals

The University of Maryland’s Science Academy saw major enrollment growth this fall in its machine learning and data science programs for working professionals.

The programs, which are only in their second year, enrolled 54 new students, including 24 UMD alumni. The incoming class ranged in age from 20 to 54 years old and was 39% female. 

“The growth we’ve seen in our professional programs validates our commitment to diversifying educational offerings that are both of high value and of academic excellence,” said Amy Chester, director of the Science Academy. “As we navigated a new reality this fall, shaped in part by COVID-19, we shifted our programs from in-person to hybrid and online to meet our students’ needs.”

The master of professional studies program in machine learning welcomed 16 new students, while thirty-eight new students enrolled in the data science and analytics master of professional studies and graduate certificate programs

Students in the machine learning program 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.

Students in the data science programs learn to design, conduct, interpret, and communicate data analysis tasks and studies using methods and tools of statistics, machine learning, computer science and communications. 

Science Academy courses are taught on weekday evenings to accommodate working professionals. With this schedule, students have the opportunity to earn a master's in less than two years, while continuing to work. Instructors include faculty members in UMD’s Departments of Electrical and Computer Engineering, Computer Science, and Mathematics. Fall course topics included probability and statistics, principles of data science, deep learning, and research methods and study design. 

The application deadline for Fall 2021 enrollment in the machine learning or data science programs is March 12, 2021 for international students and June 30, 2021 for domestic students.

The Science Academy plans to expand its offerings in 2021 with executive education programs on climate finance and quantum computing.

“These new offerings will be short, high-impact experiences where participants can gain skills quickly and then apply what they learn to their professional work,” Chester said.

This is adapted from an original story by Abby Robinson.

Related Articles:
$1.14M from the State of Maryland will Match Private Donation to Establish Two Brendan Iribe Endowed Professorships in ECE and CS at UMD
Neehar Peri named a Maryland 'Undergraduate Researcher of the Year'
UMD GAMMA Group Awarded Best Paper and an Honorable Mention at IEEE VR 2021
ECE and CS Team up to Launch Master of Professional Studies in Machine Learning
Dutta to receive NSF CAREER Award
Jill Goldstein Named to Terrapin Club 30 under 30 Class of 2022
Alumnus David Bader Named Association for Computing Machinery Fellow
Alumnus Adly Appointed Editor-in-Chief of IEEE Transactions on Magnetics
Ultra-Broadband Microcombs Opens Door to Opportunities for Optical Frequency Synthesis
ECE Alumni Veeraraghavan, Zheng Elected IEEE Fellows

December 9, 2020


Prev   Next

Current Headlines

UMD Joins $50M Sodium-Ion Battery Innovation Partnership

Celebrating Five Years of Innovation at CEEE’s Daikin Lab

Project Embraces Tribal History With Modern Technology

Former Chair of Materials Science and Engineering To Retire from the University

Sophomore in Chemical and Biomolecular Engineering Heads to NCAA Cross Country Championship

Eminent Scholar in Metallurgy To Join Clark School as Distinguished Chair

UMD Joins Sodium-Ion Battery Alliance for Renewable Grid Energy Storage

Biocomputational Engineering Program at UMD Earns ABET Accreditation

News Resources

Return to Newsroom

Search News

Archived News

Events Resources

Events Calendar