Business analytics and data science

Missouri University of Science and Technology
Graduate certificate
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Overview

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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 identifies 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 online 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:

  • Big data management and analytics
  • Big data management and security

S&T's business analytics and data science graduate certificate program is an area of concentration in Missouri S&T’s big data programs, which were ranked second in the nation in by College Choice (2020). 

Quick facts

Official name

Graduate certificate in business analytics and data science

Campus

Missouri University of Science and Technology

Program type

Graduate certificate

Academic home

Kummer College of Innovation, Entrepreneurship, and Economic Development | Department of Business and Information Technology

Delivery mode

100% online

Accreditation

Higher Learning Commission, Association to Advance Collegiate Schools of Business (AACSB International)

Credit hours

12

Estimated cost

$11,400.00

Military credit hours

12

Military estimated cost

$9,540.00

*This cost is for illustrative purposes only. Your hours and costs will differ, depending on your transfer hours, your course choices and your academic progress. See more about tuition and financial aid.

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Career prospects

Graduate certificates give students the opportunity to broaden their knowledge in a particular discipline, learn the latest in developing fields, and stay competitive in today’s marketplace. Upon completion, students will be able to demonstrate advanced knowledge within a field of study.

Program structure

This program is 100% online: no campus visits required.

Courses are semester-based. Students typically take one class per semester and finish the program in two years.

Delivery

100% online

Calendar system

Semester-based

Typical program length

2 years

Typical course load

1 class per semester

Pathway to a master's degree

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. This graduate certificate was designed as a pathway to an MBA or information science and technology MS.

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. 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. If you are applying to a PhD program, you are still required to submit GRE/GMAT scores.

Accreditation

Missouri University of Science and Technology is accredited by the Higher Learning Commission, one of six regional institutional accreditors in the United States.

The Kummer College of Innovation, Entrepreneurship, and Economic Development is accredited by Association to Advance Collegiate Schools of Business (AACSB International).

Faculty spotlight

Langtao Chen

Research interests:

  • Topics: Online communities, health informatics, cybersecurity, information systems user experience, business analytics, social media, user-generated content, big data
  • Methodologies: Econometrics, machine learning, data analytics, Bayes inference, structural equation modeling
Langtao Chen, PhD
Assistant Professor

Learn more about this program

This program is administered by the Department of Business and Information Technology