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MS in Management Information Systems Curriculum

Curriculum Details

  • 10 courses
  • 30 credit hours
  • Fall and spring: 15-week semesters
  • Summer: 8-week terms

Prepare to implement IT strategies that drive growth with the online MS in Management Information Systems program from Auburn University at Montgomery (AUM). To earn this STEM-designated degree, you’ll complete career-focused courses on cloud computing, information security, communication architecture, and more.

AUM’s dedicated faculty bring real-world insight to each class and provide hands-on learning opportunities with Python, Tableau, and solutions within the SAP Business Suite. Tailor this AACSB-accredited program to your goals by choosing from an array of electives or one of these concentrations:

Whether you choose the general track or a concentration, you can graduate in as little as two years after accruing 30 credit hours.

Required Core Courses

Credits

This course is an introduction to the use of Business Analytics and big data as a strategic resource. A focus is placed on integrating the knowledge of analytics tools with an understanding of how companies leverage data analytics to gain strategic advantage. The key areas of customer analytics and surveys of data mining techniques and applications will also be covered. Case approach is used to emphasize hands-on learning and a real-world view of Business and big data analytics.

Can take this or PUAD 6080

This course will enable the student to understand how to use technology in implementing the IS strategy for the data storage architecture, data communication architecture, construction, acquisition, use of hardware and software, Internet of Things, cloud computing and technology platforms services.
This course will provide the student with the leadership skills of information security management. The course covers managerial and policy topics in information security as well as foundational technical concepts of protection mechanisms, disaster recovery, ethics, regulations and laws.

This course will enable the student to think strategically with respect to using information technology for competitive advantage. Students will use strategic models to align the IS group with the organization, and develop an IS strategic plan.

Elective Courses

Credits

An in-depth investigation of the theories, methods, and techniques of various machine learning models. Topics include how artificial intelligence differs from programming; supervised and unsupervised learning models and techniques; validation strategies; data preparation and imputation; organization, ethical and leadership applications and challenges.
This course will examine the process of data preparation, mining methods, and how to mine data using current programming tools. Topics include data selection, cleaning, coding, using different data mining and machine learning techniques, and visualization of the generated structures. Students will develop hands on experience developing supervised and unsupervised data mining algorithms and will learn how to employ these techniques in context of various business applications.
This course will enable the student to understand the current state of e-business and follow its new development, identify e-business opportunities and develop business models for such opportunities, and examine the importance of e-shopping, social media, mobile computer, and consumer adoption.
This course will examine the process of data preparation, mining methods, and how to mine data using current programming tools. Topics include data selection, cleaning, coding, using different data mining and machine learning techniques, and visualization of the generated structures. Students will develop hands on experience developing supervised and unsupervised data mining algorithms and will learn how to employ these techniques in context of various business applications.
This course will enable the student to use innovation as a competitive situation for organizations, to analyze and critique innovation approaches, create a significant strategic technology policy, and to build a portfolio management office in the government agency or organization.
This course is designed to expose students to current thinking regarding sustainability and its implications for organizations and their managers. It will cover key issues such as green technologies, hazardous technological material disposal, recycling strategies and other environmental issues.

Issues and management techniques involved in administering the information system/resource activities of an organization from a sociotechnical perspective. Covers the management of information resources from a strategic and competitive analysis viewpoint.

Issues related to technology law and ethics.

Duplicate credit will not be allowed for INFO 6450 and MNGT 6410.

This course introduces modern data systems, which surveys and discusses current business database technology and system management and applications trends as related to business domains. Topics include database management and operations to ensure data quality for data analytics. The main goal is to familiarize students with traditional concepts of data systems, such as the relational model and database systems, while also focusing on modern trends leading the data management industry.
This course introduces the practical application of business analytics in a variety of contexts. Emphasis is placed on presenting findings to varied constituencies. Key topics covered may include predictive modeling and analytics, data visualization, quantitative and qualitative data analysis, and digital marketing analysis. Students will explore data-driven business decision making through case analyses and a course project with data and software.
This course will enable the student to understand the role and positioning of the chief information officer (CIO), how to make the case for technology investment, manage IT projects and portfolios, and enable change in the ecosystem, the global economy, and culture across societies.
Analysis, design and implementation of information flows for management control and decision making. Use of systems development concepts, principles and practices.
This course will enable the student to understand how they can use enterprise systems to make the organization more successful. Emphasis is given to supply chain applications, enterprise resource planning systems, and customer relationship management systems.
This course will enable the student to understand the current state of the IS Consulting profession and follow its development, articulate the pros and cons of various IS consulting initiatives, and develop a plan to join or start a consulting firm.
Variable content in the information systems area within the classroom setting. May be repeated up to 6 hours.
This course will enable the student to collaborate with a project team to successfully complete a project management simulation, develop the major documents needed to begin an IS project with a real organization, and complete an IS project with that organization.
Individual research into an area of information systems. May be an application or theory. A paper must be presented and defended.

Business and Data Analytics Concentration

Credits

Develop managerial, analytical, and technical skills to analyze complex data and glean insights that help improve business performance.

All students take these courses:

  • INFO 5550 Data Mining Methods and Applications (3 credits)
  • INFO 6560 Data Systems (3 credits)
  • INFO 6590 Applied Business and Data Analytics (3 credits)

Choose three of these courses:

  • INFO 5300 E-Commerce and Mobile Technologies (3 credits)
  • INFO 5580 Leading Innovation (3 credits)
  • INFO 5860 Managing Sustainability (3 credits)
  • INFO 5880 Data Analytics for Competitive Advantage (3 credits)
  • INFO 6250 Information Resource Management (3 credits)
  • INFO 6450 Information Technology Law and Ethics (3 credits)
  • INFO 6760 Global Information Systems Leadership (3 credits)
  • INFO 6780 Systems Analysis and Design (3 credits)
  • INFO 6810 Enterprise Process Integration with SAP (3 credits)
  • INFO 6840 Consulting in Information Systems (3 credits)
  • INFO 6970 Special Topics (3 credits)
  • INFO 6980 Capstone Project (practicum, 6 credits)
  • INFO 6990 Thesis (3 credits)

Business and Data Analytics Details

Enterprise Resource Planning Concentration

Credits

Prepare to unify information systems across all enterprise departments to optimize processes, improve decision-making, and create efficiencies.

All students take these courses:

  • INFO 6810 Enterprise Process Integration with SAP (3 credits)
  • INFO 6780 Systems Analysis and Design (3 credits)
  • INFO 6590 Applied Business and Data Analytics (3 credits)

Choose three of these courses:

  • INFO 5300 E-Commerce and Mobile Technologies (3 credits)
  • INFO 5550 Data Mining Methods and Applications (3 credits)
  • INFO 5580 Leading Innovation (3 credits)
  • INFO 5860 Managing Sustainability (3 credits)
  • INFO 5880 Data Analytics for Competitive Advantage (3 credits)
  • INFO 6250 Information Resource Management (3 credits)
  • INFO 6450 Information Technology Law and Ethics (3 credits)
  • INFO 6560 Data Systems (3 credits)
  • INFO 6760 Global Information Systems Leadership (3 credits)
  • INFO 6840 Consulting in Information Systems (3 credits)
  • INFO 6970 Special Topics (3 credits)
  • INFO 6980 Capstone Project (practicum, 6 credits)
  • INFO 6990 Thesis (3 credits)

Enterprise Resource Planning Details

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