Bachelor of Science in Computer Information Systems – Management Science
This Computer Information Systems program prepares graduates for potentially hundreds of possible fulfilling professional positions. Every industry is impacted by the accelerating growth of technology, and students in computer and technology majors are no longer limited by narrowly defined technological occupations. Rather, students have the opportunity for employment in diverse fields ranging from public service to nonprofit work, and from traditional business environments to entrepreneurship and innovation.
The interdisciplinary and management-focused nature of the program is a point of distinction; students will be marketable in a variety of fields as a result of having had extensive experience in business decision-making, statistics, and operations/project management. In addition to rigorous academic instruction in these topics, students obtain real-world experience through our internship program.
Loyola New Orleans provides the tools that students need to understand computer languages and advanced concepts in information systems. Graduates have the skills to plan, create, deploy, analyze, and improve the systems that businesses use. A Management Information Systems bachelor’s degree online prepares students to solve business related problems, such as keeping software current for the whole company.
- Web Designer
- Information Technology Consultant
- Data Analysts
- Systems Developer
- Network Engineer
- Software Engineer
- Systems Engineer
- Web Developer
Our computer information systems curriculum combines core courses from computer science and management science. Here are a few courses you can expect to take:
Information Systems Theory & Practice
This course provides an understanding of information systems by outlining key concepts for integrating technology into the business world. Students will study different computer and business systems, the design and implementation of scalable information systems, and the effect that information systems have on business and society.
Introduction to Programming I & II
Students are introduced to concepts in computer programming, including interface builders and problem-solving techniques in various programming environments. The course emphasizes the basics of software design and applications to mathematics and other disciplines.
Introduction to Relational Databases
Students learn the concepts and terminology of databases. Concepts are learned through hands-on exercises that utilize Microsoft Access database software.
Decision Support Systems
This course covers the use and design of the information, knowledge / intelligence, and technological resources that are employed by managerial decision makers to gain a better understanding of a business and its customers. “Decision support systems” refers to the “front-end” technology that is generally associated with a data warehouse, and which provides modeling and analysis capabilities to help key decision makers evaluate ways in which to improve business operations and reach organizational goals. This course covers general topics related to the design of such systems, as well as practical issues of implementation of Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), “dashboard” analytics, or other business applications. Data security and ethics are also considered.
Computer Information Systems:
- COSC A208: Information Systems Theory & Practice
- COSC A211: Introduction to Programming I
- COSC A212: Introduction to Programming II
- COSC A270: Introduction to Relational Databases
- Plus three Computer Science electives
Management Science Track:
- DECS B205: Business Statistics
- DECS B305: Business Decision Modeling
- DECS B310: Decision Support Systems
- DECS B450: Business Decision Making
- MGT B375: Managerial Decision Making
- Practicum / Internship (approximately 120 hours)
Adjunct Mathematics Course:
- MATH A257: Calculus I
Choose one from the following:
- MATH A200: Linear Algebra
- MATH A204: Discrete Math Structures
- MATH A271: Applied Scientific Computing
- PHIL A206: Introduction to Symbolic Logic