Explore the Master of Science in Information Systems program at University of Maine. This program is offered in USA and provides an excellent learning opportunity in Masters studies.

The Online Master of Science in Information Systems at the University of Maine is designed to equip students with both technical and managerial skills necessary for constructing and managing modern computer-based information systems. The program is 100% online and consists of 30 credits, allowing students from diverse academic backgrounds to transition into information systems careers. Core courses cover essential topics such as information system design, human-computer interaction, database systems, and information law. Students can also choose from a variety of electives, including business intelligence, data visualization, and digital curation, to tailor their education to their professional goals. The program emphasizes flexibility, enabling students to manage their studies around their personal schedules, making it an ideal choice for working professionals.

Required Courses

• SIE 507: Information Systems Programming (3 credits)
• SIE 515: Human-Computer Interaction (3 credits)
• SIE 525: Information Systems Law (3 credits)
• SIE 550: Design of Information Systems (3 credits)
• SIE 557: Database System Applications (3 credits)

Elective Courses

• BUA 601: Strategic Data Analysis (3 credits)
• BUA 680: Foundations of Business Intelligence and Analytics (3 credits)
• BUA 681: Data Management and Analytics (3 credits)
• BUA 682: Data Pre-Processing for Business Analytics (3 credits)
• BUA 683: Information Visualization (3 credits)
• BUA 684: Business Data Mining and Knowledge Discovery (3 credits)
• BUA 685: Problem Solving and Decision Analysis (3 credits)
• BUA 686: Predictive and Business Forecasting (3 credits)
• COS 535: Information Privacy Engineering (3 credits)
• COS 565: Data Visualization (3 credits)
• COS 570: Topics in Artificial Intelligence (3 credits)
• COS 575: Computer Vision (3 credits)
• DSE 501: Statistical Foundations of Data Science and Engineering (3 credits)
• DIG 500: Introduction to Digital Curation (3 credits)
• EDT 520: Digital Age Teaching and Learning Methods (3 credits)