Master of Science in Management Information Systems with Concentration in Analytics (STEM)

University of Nebraska Omaha

USA,Nebraska

 0 Shortlist

24 Months

Duration

CAD 20,522/year

Tuition Fee

CAD 50

Application Fee

Aug 2025

Apply Date

USA, Nebraska

Type: University

Location Type: Urban

Founded: 1908

Total Students: 15,328 +

Int. Students: 458 +

Campus Detail

Main Campus Address

6001 Dodge St, Omaha, NE 68182, United States

Master of Science in Management Information Systems with Concentration in Analytics (STEM)

Program Overview

The Master of Science in management information systems (MIS) degree is designed to give students the skills and background needed to develop and manage an organization's information resources, technology, and infrastructure. It will serve as a source of added knowledge and experience for MIS graduates and practitioners interested in obtaining an advanced degree. It will also provide career growth opportunities for the non-MIS and non-business degree holders who find that their careers demand graduate level MIS education. The MS in MIS prepares students for a variety of positions, including applications and web-site developer, computer network manager, business system analyst/manager, consultant, and technology manager. The MS in MIS also prepares students for admission to doctoral programs in information systems. A community advisory committee helps keep the program current with the needs of the business community. The MS in MIS program is a STEM designated program.

Analytics Concentration

Data analytics uses a variety of techniques to examine large amounts of data to discover patterns that can lead to business insights. Data analytics has broad applicability in customer behavior analysis, fraud detection, scientific inquiry, process improvement, financial analysis, trend analysis, forecasting, and decision-making. Techniques may include statistical methods, data mining, modeling and simulation, and data visualization. The analytics concentration prepares students for work in the area of analytics, and also offers the necessary methodological foundation for thesis work in a master’s or PhD program.

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