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Merger of MS in MIS with Data Science option, MS in Business Analytics
The Spears School of Business developed and offered one of the first analytics programs in the nation, with two distinct tracks built on our strengths and diversity of talents. Over time, Spears Business has developed strong relationships with major analytics providers such as SAS, Teradata, IBM, and others.
As the needs of business have evolved, along with the integration of different commercial and open source software as a common toolset for analytics/data science professionals, OSU, in response, has now opted to create one common program (pending internal approvals). This program will include an integrated core set of data science experiences, while allowing the students to specialize in areas such as marketing analytics, health analytics, among others.
“This is an exciting development and represents OSU’s and the Spears School’s commitment to providing a world-class interdisciplinary, value-added analytics/data science program staffed by award winning instructors and internationally known experts in the field,” said Rick Wilson, head of the Department of Management Science and Information Systems.
“I am delighted to see this merger happen,” said Goutam Chakraborty, director of the Master’s in Business Analytics program. “This merger will allow us to provide a high-class, high-touch, comprehensive master’s program for graduate students in the Spears School of Business.”
Visit the website to learn more about OSU’s MSBAN program.
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. 29 in the North American rankings for Information Systems programs in 2015-16 in the Eduniversal Best Masters ranking. The program was No. 23 among universities in the United States. In addition, our online master’s in MIS is ranked No. 14 in the Top 50 Online Masters Degrees in Information Technology Management 2015, according to Eduniversal.com. The program was started in 1998 and has over 1,000 graduates. The core curriculum for the 34-hour program 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 several graduates who have been successful in both IT and analytics. To accommodate the changes in the IT marketplace, our MS-MIS curriculum has been revised. Dr. Rathin Sarathy, MS-MIS coordinator, says, “The new curriculum recognizes the importance of data, analytics and IT in organizational decision making. IT plays an important role in analytics training because in today’s global organizations data has to be collected and cleaned from many different types of systems before analytics can be performed. Students are instructed in the science of dealing with large volumes of data for analytics. We also emphasize an approach to descriptive, predictive and prescriptive analytics that is applicable across platforms. The recent addition of several well-trained, technically sophisticated PhDs to our faculty is a huge boost to our program.” Students interested exclusively in business analytics using the SAS® platform may explore the Business Analytics program.
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, including the data science option, 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