Capstone Exam in Statistics and Data Science
Solidify and demonstrate your knowledge and abilities in probability, data analysis, statistics, and machine learning in this culminating assessment. -- Final Requirement of the MITx MicroMasters Program in Statistics and Data Science.
Course Information
About this Course
This capstone exam is the final part of the MITx MicroMasters Program in Statistics and Data Science. Complete the four courses in this program and take this virtually-proctored exam to earn your MicroMasters credential and demonstrate your proficiency in data science or accelerate your path towards an MIT PhD or a Master's at other universities.
All eligible learners will be automatically enrolled for the Capstone Exam. If you are eligible and have not been enrolled by two weeks before the start date, or haven’t received an email notification, please contact us asap at sds-mm@mit.edu. You must upgrade to become a verified learner before the exam period begins.
What you'll learn
To learn more about this program, please visit https://micromasters.mit.edu/ds/.
Prerequisites
- 6.431x
- 14.310Fx
- 18.6501x
- 6.86x
Meet your instructors
Regina Barzilay
Professor
Regina Barzilay is a Delta Electronics Professor in the Department of Electrical Engineering and Computer Science and a member of the Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology. Her research interests are in natural language processing, applications of deep learning to chemistry and oncology.
She is a recipient of various awards including the NSF Career Award, the MIT Technology Review TR-35 Award, Microsoft Faculty Fellowship and several Best Paper Awards at NAACL and ACL. In 2017, she received a MacArthur fellowship, an ACL fellowship and an AAAI fellowship. She received her Ph.D. in Computer Science from Columbia University, and spent a year as a postdoc at Cornell University.
