Business intelligence (BI) aims to support better business decision-making by providing both internal data and external data in a useful and usable format. Using BI, decision makers are able to examine the value of business processes and products while watching for competitive opportunities in the marketplace. It includes the computer-based systems that identify, extract, combine, and analyze data necessary to drive business. BI technologies provide historical, descriptive, predictive, and prescriptive views of business operations such as sales revenue by products and/or departments, or by associated costs and incomes. Common functions of business intelligence technologies are the development of dashboards, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics, and prescriptive analytics. Gartner Research has collected data that reveals that the global market for BI products and services exceeded $10 billion in 2010 and robust growth is expected over next five years. BI skills have also been ranked among the top five technology skills that will be in demand over the next decade. Further, there is an acute nationwide shortage of Business Intelligence professionals. Therefore, given the facts that the BI field is growing rapidly and these skills, are in high demand, a certificate in BI will help favorably differentiate UMSL and its graduates.

The UMSL Certificate in BI will blend the College of Business' traditions of solid analytics and information systems to produce this unique program. Students will get exposure to both the systems and analytics components of BI, but will specialize in one dimension through the choice of electives. The program culminates in an internship in which the student works on a real BI project so they appreciate the difficulties of large-scale, unstructured data and the need for nuanced solutions.

The Certificate has the support and guidance of the IS Advisory Board. These industry representatives are working with the faculty to ensure the coverage is appropriate through guest speakers, projects and internships. Graduates of this program will have the skills and experience needed to succeed in businesses and government.


Because coursework taken in a graduate certificate program can be applied to graduate degree requirements, admission requires application for graduate study at UMSL, submission of previous college transcripts, two letters of recommendation, and satisfactory GMAT score or request for a waiver. International students must also supply a satisfactory TOEFL score.


This program consists of a six-course sequence, comprising four required courses and two elective courses. Elective courses may be taken in either of five areas of concentration.

Required courses:

INFSYS 6833: Decision Support Systems for Business Intelligence (3)
INFSYS 6849: Data Warehouse Design and Implementation1 (3) OR INFSYS 6860: Data Integration2 (3)
INFSYS 6851: Practicum in Business Intelligence (3)
LOG OM 6345: Business Analytics and Data Mining (3)

Areas of Concentration:

two classes from any of the five tracks below3 (both classes must be from the same concentration)

Business Intelligence Infrastructure

INFSYS 6806: Managerial Applications Of Object-Oriented Technologies (3)
INFSYS 6808: Internet Programming (3) INFSYS 6840: Systems Analysis (3)
INFSYS 6847: Project Management (3)
INFSYS 6848: Security and Information Systems (3)
INFSYS 6850: Information Systems Design (3) INFSYS 6860: Data Integration (3)
INFSYS 6891: Seminar in Information Systems (Topic Subject to Approval) (3)

Digital Strategies

MKTG 5721: Digital Strategies (3)
MKTG 5795: Seminar in Marketing (Topic Subject to Approval) (3)
Possible Topics: Text Mining and Analysis of Social Media

Predictive Analytics

LOG OM 5312: Advanced Statistical Methods for Managerial Decisions (3)
ECON 5110: Topics In Applied Econometrics (3)
ECON 5120: Advanced Topics In Time Series Econometrics (3)
ECON 5130: Advanced Topics In Business And Economic Forecasting (3)

Prescriptive Analytics

LOG OM 5354: Simulation for Managerial Decision Making (3)
LOG OM 6330: Business Logistics Systems (3)
LOG OM 6331: Supply Chain Operational Modeling (3)
LOG OM 6350: Management Science Methods (3)
LOG OM 6395: Seminar (Topic Subject to Approval) (3)
Possible Topics: Algorithms and Analytics for Logistics Mathematical Programming and Network Optimization

Advanced Computation

CMP SCI 4300: Introduction to Artificial Intelligence (3)
CMP SCI 4340: Introduction to Machine Learning (3)
CMP SCI 5320: Introduction to Evolutionary Computation (3)
CMP SCI 6340: Genetic Programming (3)

General Requirements:

To be admitted to a graduate certificate program, one must have:

1 | completed an accredited undergraduate degree program (in any subject) with a grade point average of 3.0 or higher on a 4.0 point scale,
2 | submitted a Graduate Management Admission Test (GMAT) score of 500 or higher, and
3 | provided two letters of recommendation.

Occasionally, students may be admitted on “restricted status” if they meet either the undergraduate GPA or the GMAT requirements but fall short on the other. In order to successfully complete a certificate program, students must have earned a 3 .0 cumulative GPA in certificate classes and, unless otherwise specified, the certificate programs must be completed within six years of matriculation.

1INFSYS 6849 (Data Warehouse Design and Implementation) is REQUIRED for students pursuing the BI Infrastructure track. These students may take INFSYS 6860 (Data Integration) as an elective.

2INFSYS 6860 (Data Integration) is REQUIRED for students pursuing the Predictive Analytics track. These students may take INFSYS 6849 (Data Warehouse Design and Implementation) as an elective.

3Students are responsible for any prerequisites to these classes.

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