Interdisciplinary Evaluation Science - Bioinformatics and Data Science Concentration (MS)

Please see the Program Policy Document for more information.

Requirements for the Degree:

The MS in Interdisciplinary Evaluation Science requires 30 credits of coursework at the graduate level. The 30 credits of coursework include 21 credits of required courses (evaluation core and methods core) and 9 credits of an advisor approved, individualized plan of study. While it is possible that the advisor-approved plan of study is not an existing concentration, it is anticipated that most students will choose an approved concentration.

Evaluation:

EVAL 680 - Foundations of Evaluation Credit(s): 3
EVAL 755 - Evaluation Models and Management Credit(s): 3
HDFS 615 - Research Methods Credit(s): 3

Mixed Methods:

EVAL 770 - Quantitative Methods and Analysis Credit(s): 3
EVAL 771 - Qualitative Methods and Analysis Credit(s): 3
EVAL 780 - Survey Research Credit(s): 3
EVAL 781 - Mixed Method Evaluation Credit(s): 3

Concentration Requirements:

BINF 601 - Introduction to Data Sciences Credit(s): 3
BINF 644 - Bioinformatics Credit(s): 3

One of the following:

BINF 610 - Applied Machine Learning Credit(s): 3
BINF 620 - Big Data Analytics in Healthcare Credit(s): 3
BINF 640 - Databases for Bioinformatics Credit(s): 3
BINF 690 - Programming for Bioinformatics Credit(s): 3
BINF 694 - Systems Biology I Credit(s): 3