Graduate Course Descriptions

The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.

5100. Fundamental Skills for Data Science

3.00 credits

Prerequisites: Open only to students in the Data Science M.S. program.

Grading Basis: Graded

Establishes background knowledge in Python and R programming, multivariate calculus and linear algebra, and basic statistics to prepare incoming students for success in the core courses in the M.S. in Data Science Program.


Last Refreshed: 26-APR-24 05.20.16.357506 AM
To view current class enrollment click the refresh icon next to the enrollment numbers.
Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Credits Grading Basis Notes
Spring 2024 13632 Storrs Online Asynchronous Johnson, Joseph
Ravishanker, Nalini
Anantharaman, Sreeram
001 Reg 21/45 No Room Required - Online 3.00 Graded For MS Data Science students only. Others by instructor consent.
Fall 2024 11103 Storrs Online Asynchronous Johnson, Joseph
Ravishanker, Nalini
002 Reg 0/30 No Room Required - Online 3.00 Graded For MS Data Science Students only. Others by instructor consent.
Fall 2024 11104 Storrs In Person Teitelbaum, Jeremy 003 Reg WeFr 9:05am‑12:05pm
We 9:05am‑12:05pm
1/45 STRS 011
STRS 011
3.00 Graded For MS DS students only. Others by instructor consent.