Every industry, be it finance, retail, healthcare, or information technology, has realized the necessity of data science and business analytics professionals. With an increased employment projection of 27.9% by 2026 from the U.S. Bureau of Labor Statistics, these fields are positioned to be one of the most in-demand sectors, worldwide. These professionals are involved in the highest levels of the corporate and organizational decision-making processes. Similarly, machine learning experts are poised to be in demand for decades to come. With a professional certificate from the University of Maryland Robert H. Smith School of Business, in partnership with upGrad, you are preparing yourself for a limitless future!
These programs are fully online, with a blend of asynchronous content and live session opportunities that will take the learner through curated learning modules led by Maryland Smith faculty and subject matter experts.
The University of Maryland, Robert H. Smith School of Business, is partnering with education technology company upGrad to deliver three UMD faculty-led non-degree professional certificate options. LearnersStudents can register for either of the professional certificate programs listed below or for the executive certificate program which incorporates both certificates.
Executive Certificate Program
Professional Certificate Programs
How is the program structured?
Fees: Check the UpGrad website for registration and fees information
Format: Online (recorded lectures from Maryland Smith faculty + live sessions with Maryland Smith faculty and industry professionals)
Learning support: Dedicated program manager + industry experts
Time Commitment: 10-12 hours per week
Duration: 7 or 12 months (depending on your program choice)
Projects: 20+ case studies & assignments, 1 or 2 capstone projects in the industry of choice
Who should enroll in these programs?
This program is designed for professionals who are exploring innovative ways of driving growth and productivity in their business through a deep understanding of data, analysis of data and its trends, data tools, and data-driven decision-making.
Anil K. Gupta
P. K. Kannan