Global Lecturers
Learn from Maryland Smith's leading Data Science faculty and industry leaders
Kislaya Prasad
Anil Gupta
P. K. Kannan
John Bono
Lauren Rhue
Margrét Bjarnadóttir
Kunpeng Zhang
Programming Languages and Tools
Industry Projects
- Engage in collaborative projects with student-mentor interaction
- Benefit by learning in-person with expert mentors
- Personalized subjective feedback on your submissions to facilitate improvement
Deriving Business Insights and Storytelling
Work from the top-down on a real business problem, breaking it down into a data oriented problem and come up with a strong Business oriented recommendations.
Regression
Use all the skills learnt in Statistics and Regression to build a Predictive Regression model
Classification
Solve a real-industry problem using the classification and model selection techniques
Disclaimer
Our Students Work At
Admission Process
There are 3 simple steps in the Admission Process which is detailed below:
Step 1
Step 1: Complete your Application
Complete and submit your online application form and complete the short 15 minute test for the admission committee to assess your candidature.
Step 2
Step 2: Get shortlisted and receive your offer letter
Our admissions team will review your details. An offer letter will be sent to you if you qualify for the program.
Step 3
Step 3: Block your seat
Upon recieving the offer letter you can proceed confirm your candidature to the program by paying a minimum block amount of $200.
" Refer someone you know and receive cash reimbursements of up to $500!*"
*More details under the referral policy under Support Section.
