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Certificate in Statistical and Computational Data Science

The Certificate in Statistical and Computational Data Science is a Master's-level, five-course (15 credit) certificate that includes graduate-level course requirements from both statistics and computer science.  It consists of at least two computer science courses and two statistics courses.

Graduate matriculated students or post-graduate non-degree students can enroll in the required courses for the Certificate in Statistical and Computational Data Science, as long as they have the prerequisites for the courses and submit the required pre-application. Students will receive an email with enrollment instructions once the submitted the pre-application has been received.

This certificate is designed for professionals seeking to enhance their data science skills or current graduate students who want to round out their degrees. All non-computer sciences graduate students need to fill out override forms to enroll in computer science classes. Master's or doctoral students in Computer Science should consider the Computer Science Master's with Concentration in Data Science.

For students entering the program without strong computer programming skills, we offer a one-credit bridge course: Introduction to Numerical Computing with Python (COMPSCI 590N). This course covers the basics of Python, which is one of the core languages used in data science.

COURSE REQUIREMENTS

Bridge Course

  • COMPSCI 590N Introduction to Numerical Computing with Python 

All students must complete one of the following courses with a grade of "B" or better:

  • COMPSCI 589 Machine Learning 
  • COMPSCI 689 Machine Learning 

Students need to complete one or two of the following courses with a grade of "B" or better:

  • COMPSCI 585 Introduction to Natural Language Processing or COMPSCI 685/690N Advanced Natural Language Processing 
  • COMPSCI 514 Algorithms for Data Science 
  • COMPSCI 532 Systems for Data Science
  • COMPSCI 590V Data Visualization and Exploration or COMPSCI 690V Visual Analytics 

Students need to complete two or three of the following courses with a grade of "B" or better:

  • STAT 535 Statistical Computing (formerly STAT 597A Computational Statistics)
  • STAT 597S Intro to Probability and Math Statistics
  • STAT 607 Mathematical Statistics I 
  • STAT 608 Mathematical Statistics II 
  • STAT 625 Regression Modeling (formerly STAT 697R)
  • STAT 705 Linear Models 

Completion of the Certificate

Students who have completed the certificate requirements should submit a certificate eligibility form found here to the Graduate Programs Office. The graduation eligibility deadlines can be found here for obtaining your certificate in the mail. Email the form to maross@cs.umass.edu.