Graduate Data Analytics Certificate
The Graduate Data Analytics certificate is intended to train students to manage and analyze data, and interpret results from data analyses, particularly from large data sets. The certificate leverages the expertise from faculty in several units to give students a strong interdisciplinary background in this emerging area.
Applying to the Certificate Program
- Students admitted to the Graduate School at the University of Idaho must submit the Academic Certificate Declaration on page 2 of the Change of Curriculum form to the certificate coordinator for department chair approval.
- To apply for the program as a stand-alone certificate please apply online through Graduate Admissions. You will be required to submit transcripts showing a minimum of a 3.0 GPA for your undergraduate degree.
- Graduate Academic Certificate requirements can be viewed in Section O-10-b of the U of I Catalog.
- In addition to the existing policies and procedures for a Graduate Academic Certificate, the Data Analytics Certificate requires:
- Stat 431 Statistical Analysis or an equivalent course.
- Experience with statistical software or programming equivalent to the background of a student completing Stat 431.
- Stat 517 Statistical Learning and Predictive Modeling (3 cr)
- MIS 455/555 Data Management for Big Data (3 cr)
- CS 479/579 Data Science (3)
Plus one of the following (3 cr):
- Stat 507 Experimental Design (3 cr)
- Stat 519 Multivariate Analysis (3 cr)
- Stat 565 Computer Intensive Statistics (3 cr)
- BCB 510 Computational Science for Biologists (3 cr)
- BCB 511 Applied Bioinformatics (3 cr)
- CS 472/572 Evolutionary Computation (3 cr)
- CS 475/575 Machine Learning (3 cr)
- CS 415/515 Computational Biology: Sequence Analysis (3 cr)
- Mktg 431 Marketing Analytics (3 cr)
- OM 439 Systems and Simulation (3 cr)
- OM/Stat 456 Quality Management (3 cr)
Links to course descriptions for the Data Analytics Certificate are found in the U of I Catalog.
Note: Credits to total 12 for this graduate academic certificate. At least half of the credits must be at the graduate level.
For more information, email the Department of Statistical Science.
Students interested in employment in statistics per se should consider studying for an M.S. degree in Statistics.