MS in Economics & Data Science Sample Plan of Study

MS in Economics and Data Science Full-Time

Below is a sample plan of study for a student enrolled in our full-time Master of Science in Economics and Data Science degree program. Full-time students will determine a customized plan of study with their program advisor.

Full-Time Sample Plan of Study

Term Course Title Credits
Term 1: Fall

9 credits

 ECON 540 Intro to Econometrics and Data Analysis 3
  ECON 548 Mathematical Economics 3
  CS 570/DSCI 511 Programming Foundations/Data Acquisition and Pre-Processing 3
Term 2: Winter

9 credits

 ECON 610 Microeconomics 3
  ECON 614 Macroeconomics (Prerequisite: ECON 548 or ECON 610) 3
  DSCI 511/DSCI 521 Data Acquisition and Pre-Processing/Data Analysis and Interpretation 3
Term 3: Spring

9 credits

 ECON 550 Econometrics (Prerequisite: ECON 540 or STAT 601 or STAT 610 or BSAN 601) 3
  DSCI 521/Elective Data Analysis and Interpretation/Elective (ECON 560) 3
  DSCI 631/Elective Applied Machine Learning for Data Science/Elective (ECON 560) 3
Term 4: Summer

3 credits

 Experiential Learning Experiential Option 3
Term 5: Fall

9 credits

 Elective Elective Course 3
  Elective Elective Course 3
  Elective Elective Course 3
Term 6: Winter

6 credits

 DSCI 632 Applied Cloud Computing 3
  Elective Elective Course (ECON 700) 3
Total credits     45

MS in Economics and Data Science Part-Time

Part-time graduate students in the economics and data science program can finish in as little as three years, depending on the number of courses taken each term. Part-time students will determine a customized plan of study with their program advisor.

Part-Time Sample Plan of Study

Term Course Title Credits
Term 1: Fall

6 credits

 ECON 540 Intro to Econometrics and Data Analysis 3
  CS 570/DSCI 511 Programming Foundations/Data Acquisition and Pre-Processing 3
Term 2: Winter

6 credits

 ECON 610 Microeconomics 3
  ECON 614 Macroeconomics (Prerequisite: ECON 548 or ECON 610) 3
Term 3: Spring

6 credits

 ECON 550 Econometrics (Prerequisite: ECON 540 or STAT 601 or STAT 610 or BSAN 601) 3
  DSCI 511/DSCI 521 Data Acquisition and Pre-Processing/Data Analysis and Interpretation 3
Term 4: Summer

6 credits

 DSCI 521/Elective Data Analysis and Interpretation 3
  Experiential Learning Experiential Option 3
Term 5: Fall

6 credits

 ECON 548 Mathematical Economics 3
  DSCI 631/Elective Applied Machine Learning for Data Science 3
Term 6: Winter

6 credits

 DSCI 632 Applied Cloud Computing 3
  Elective Elective Course (ECON 700) 3
Term 7: Spring

6 credits

 Elective Elective Course (ECON 560) 3
  Elective Elective Course 3
Term 8: Summer

3 credits

 Elective Elective Course 3
Total credits     45

Take the Next Step