Big data is an emerging phenomenon. Computing systems today are generating 15 petabytes of new information every day—eight times more than the combined information in all the libraries in the U.S.; about 80% of the data generated every day is textual and unstructured data.
The field of data analytics identifys trends, creates predictive models for forecasting, and optimizes business processes for enhanced performance. Three main categories of analytics are:
Descriptive - the use of data to find out what happened in the past.
Predictive - the use of data to find out what could happen in the future.
Prescriptive - the use of data to prescribe the best course of action for the future.
This graduate certificate is one of three graduate certificates offered by cooperating departments at Missouri S&T to fulfill the needs in big data. The other two graduate certificates are:
S&T's Business Analytics and Data Science graduate certificate program is ranked second in the nation in Value College’s Top 50 Best Value Online Big Data Graduate Programs of 2016.
Are you a working professional who wants to earn your master's degree, but you don’t have time to take the GRE/GMAT? Then start in a graduate certificate program. Graduate certificates were designed as a pathway to a master's degree.* The admission requirements are more relaxed and credit earned will count toward your degree. Once you successfully earn your graduate certificate, you can continue with the corresponding master's degree without having to take the GRE/GMAT.
This graduate certificate may act as a pathway to the following master’s programs:
*Completion of a graduate certificate program does not automatically guarantee admission into a corresponding graduate degree program. To continue in a master’s degree program, you must apply.
Contact Us
Sylvia Skouby, Associate Director for Online Admissions
Phone: 573-341-6903
Email: stgrad@mst.edu
Business and Information Science and Technology
101 Fulton Hall
301 W. 14th St.
Rolla, MO 65409
Phone: 573-341-4776
Email: bit@mst.edu
Web: bit.mst.edu