Curriculum
Master of Science in Data Science
|
Course |
Title |
Semester Hours |
Spring I |
||
|
DSC 675 |
Applied Data Science |
3 |
|
HIN 720 |
Health Data Science: Programming and Database Structure |
3 |
|
Total |
|
6 |
Summer I (10 or 12 Week) |
||
|
DSC 680 |
Biostats: Programming with R |
3 |
|
HIN 740 |
Health Data, Security, and Ethics |
3 |
|
Total |
|
6 |
Fall 1 |
||
|
DSC 745 |
Python and Machine Learning |
3 |
|
HIN 764 |
Artificial Intelligence: Evaluation and Applications |
3 |
|
Total |
|
6 |
Spring II |
||
|
DSC 762 |
Big Data: Architecture and Cloud |
3 |
|
DSC 823 |
Artificial Intelligence |
3 |
|
Total |
|
6 |
Summer II (10 or 12 Week) |
||
|
DSC 840 |
Software Engineering |
3 |
|
DSC 804 |
Genomic Data and Precision Med |
3 |
|
Total |
|
6 |
Fall II |
||
|
DSC 850 |
Capstone Project (class-based) |
3 |
|
DSC 800 A |
Applied Data Science Experience (or Elective) |
3 |
|
Total |
|
6 |
|
Total Credits to Complete Degree Requirements |
36 |
|