Department of Information Systems, Statistics and Management Science

Students are prepared to enter the workforce, ready to tackle complex problems that combine the use of information technology to improve business operations, decision making, quality of life, security and supply chains. Students work on corporate projects for companies that are looking for new ways to use social media and mobile and emerging technologies to improve revenues and make the firms more effective. Students learn how to scope projects, define requirements, design solutions and develop and implement the chosen solution.

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Programs

Professor James J. Cochran, Interim Department Head
Office: 300 Alston Hall

The department of information systems, statistics and management science provides students with opportunities to learn about the design and development of information systems, the application of statistical analysis to support business decision making and the design and analysis of business operations and processes. The department has three functional areas: management information systems, operations management and statistics.

The management information systems (MIS) faculty offer an introductory course in MIS, as well as courses for students majoring in MIS and students specializing in business information technology and e-Decision Support Systems. The MIS program partners with a range of businesses and organizations to prepare students to leverage information technology to solve business problems.

The operations management faculty offer introductory courses in operations as well as courses for students majoring in operations management and those students specializing in supply chain management or production management. The OM program has strong relationships with manufacturers, distributors, retailers, transportation carriers and logistics service providers.

The statistics faculty offer introductory statistics courses for undergraduate students as well as for students specializing in business intelligence. The statistics program supports the business analytics initiative for the College and has strong partnerships with leading providers of business analytics software.

Faculty

Department Head
  • Cochran, James
Professors
  • Chakraborti, Subha
  • Cochran, James
  • Gray, Brian
  • Hale, David
  • Hale, Joanne
  • McManus, Denise
  • Mittenthal, John
  • Raja, Uzma
Associate professors
  • Barrett, Bruce
  • Keskin, Burcu
  • Lodree, Emmett
  • Melnykov, Volodymyr
  • Melouk, Sharif
  • Perry, Marcus
  • Porter, Michael
  • Posey, Clay
  • Yavuz, Mesut
Assistant professors
  • Bott, Gregory
  • Freeman, Nick
  • Jena, Rishi
  • Murali, Karthik
  • Parton, Jason
Instructors
  • Casselman, Brad
  • Chilcutt, Nathan
  • Cottrell, Greg
  • Davis, Cali
  • Doherty, Richard
  • Marks, Andrea
  • Purdue, Josh
  • Shastry, Kiron

Courses

MIS
120
Hours
3
Business Programming I

First computing class designed for students that will be majoring in Management Information Systems.

OM
300
Hours
3
Intro Operations Management

This course is an introduction to the field of operations management and addresses the design and management of the activities and resources that a firm uses to produce and deliver its products or services. Topics include operations strategy, product and process design, total quality management, statistical quality control, supply chain management, location analysis, forecasting, inventory management, operations planning, and lean/JIT business processes. Students are limited to three attempts for this course, excluding withdrawals.

Prerequisite(s): ST 260
ST
260
C
Hours
3
Statistical Data Analysis

Introduction to the use of basic statistical concepts in business applications. Topics include extensive graphing; descriptive statistics; measures of central tendency and variation; regression, including transformations for curvature; sampling techniques; designs; conditional probability; random variables; probability distributions; sampling distributions; confidence intervals; and statistical inference. Computer software applications are utilized extensively. Emphasis throughout the course in on interpretation. Computing proficiency is required for a passing grade in this course. Students are limited to three attempts for this course, excluding withdrawals.

Prerequisite(s): MATH 112 or MATH 115 or MATH 121 or MATH 125 or MATH 126 or MATH 145 or MATH 146; and CS 102 or CS 150 or CS 100 or CS 120 or MIS 120 or CS 104 or GES 131 or GES 145 or UA Computer Placement Test Score of 380; minimum grade of C- required in any qualifying prerequisite
Computer Science

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