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Traditional and Corporate Programs Available
MS in MIS program
The Master of Science in Management Information Systems Program (MS in MIS) focuses on providing solutions to business information and data needs. The MS-MIS program was ranked No. 10 in the Top 20 Best Master’s in Management Information Systems Online Degree Programs for 2018, according to BestCollegeReviews.org. The program was listed No.2 in Data Science Degree Program’s 15 Most Affordable Master’s in Data Science Online in 2018, with other recognitions noted here. The MS in MIS program at OSU was started in 1998 and has over 1,000 graduates. The core curriculum for the 33-34-hour program (33 on-line; 34 on campus) includes courses on MIS in business, database management, data warehousing, systems analysis, programming for analytics, descriptive analytics, visualization and professional development. The MS in MIS program is a designated STEM program.
Over the years, the MS-MIS program has increased in size and produced graduates who have been successful in a variety of roles across the business enterprise. To accommodate the changes in the IT marketplace, our MS-MIS curriculum is regularly reviewed and revised. One of such revisions led to the creation of college-level MS in Business Analytics and Data Science program where MSIS graduate courses are key components. Students interested in the college-level Business Analytics and Data Science program using multi-platform tools (such as Python, R, SAS, SQL) should go here.
Our on-line corporate program is geared towards enhancing existing skills and developing new skills for IT professionals in industry. All courses required for the MS-MIS degree, and the majority of elective/option courses, will be offered online.
Accredited by the Association to Advance Collegiate Schools of Business.
- Degree: Master of Science (M.S.)
- Program (Major): Management Information Systems (MIS)
- CIP Code: 11.0103, STEM Designated Degree Program
- Total Minimum Program Credit Hours Required: 33
Health Analytics Certificate Program
Gainful Employment link: https://gradcollege.okstate.edu/programs/graduate-certificates-ed/health-analytics-ged.html
There is a dire need for professionals with practical knowledge and skills in health analytics—ones who can convert large data repositories into actionable insight for better decisions to enhance effectiveness and efficiency in the ever more complex and highly competitive health care domain. Listening to the health care companies/employers in the region as they repeatedly articulate their challenges and corresponding needs, with this certificate program, we designed, developed, and implemented the first stage of an evidence-based, hands-on educational program to produce the new generation of health care analytics professionals.
OSU presently has an internationally ranked MS in MIS program offered in the Spears School of Business. Additionally, the Center of Health Sciences offers a unique, internationally recognized MS in Health Care Administration (HCA) program. Finally, the Center of Health Systems Integration (CHSI) has recently been created in Tulsa to provide a nexus for all research and programmatic operations related to the intersection of health, healthcare, informatics, and analytics/data sciences. These three entities have come together to offer a unique interdisciplinary program – a Certificate in Health Analytics.
The goal of this certificate program is to educate/produce the next generation of analytics professionals who can transform “Big Data” sources into actionable knowledge and insight for the betterment of health, health care, and medicine.
The program requires taking four courses (each three credit hours, totaling 12 credit hours) of coursework, and allows for the courses to be double-counted towards a master’s degree. The required and elective courses that can count towards your certificate are listed below:
Required Courses (9 credit hours):
- HCA 5013 Survey of Health Care Administration
- MSIS 5673 Descriptive Analytics and Visualization
- MSIS 5633 Predictive Analytics Technologies
Elective (3 credit hours - select one of the following):
- MSIS 5303 Prescriptive Analytics
- MSIS 5223 Analytics Programming (R & Python)
- MSIS 5663 Data Warehousing
- MSIS 5683 Big Data Analytics Technologies