Curriculum and Program Requirements

Elective Course Options

Students wishing to enroll in an ISTM or SCMT course that is full may access the Department of Information and Operations Management’s wait list system to request enrollment in the course.

Elective Courses (Select seven courses – 21 credits)

• ISTM 631 – Information Systems Design and Development Project
• ISTM 637 – Data Warehousing
• ISTM 645 – IT Security Controls
• ISTM 650 – Business Data Mining
• ISTM 652 – Customer Relationship Management and Technologies
• ISTM 655 – Security Management and Compliance
• ISTM 657 – Blockchain and Artificial Intelligence Business Transformation
• ISTM 660 – Applied Predictive Analytics for Business
• ISTM 665 – Cloud Computing Technologies
• ISTM 680 – Human-Computer Interaction in MIS
• ISTM 681 – Ethics of Information Systems
• ISTM 684 – Professional Internship
• ISTM 689 – Special Topics in…
• ACCT 647*/FINC 647* – Financial Statement Analysis
• CSCE 606* – Software Engineering
• CSCE 625* – Artificial Intelligence
• CSCE 629* – Analysis of Algorithms
• CSCE 631* – Intelligent Agents
• CSCE 633* – Machine Learning
• CSCE 636* – Deep Learning
• CSCE 638* – Natural Language Processing: Foundations and Techniques
• CSCE 652* – Software Reverse Engineering
• CSCE 655* – Human-Centered Computing
• CSCE 656* – Computers and New Media
• CSCE 662* –  Distributed Processing System
• CSCE 664* – Wireless and Mobile Systems
• CSCE 665* – Advanced Networking and Security
• CSCE 676*/ECEN 758*/STAT 639* – Data Mining and Analysis
• CSCE 678*/ECEN 757* – Distributed Systems and Cloud Computing
• CSCE 679*/VIZA 676* – Data Visualization
• CSCE 701/CYBR 601*-  Foundations of Cybersecurity
• CSCE 702*/CYBR 602* – Law and Policy in Cybersecurity
• CSCE 703* – Cybersecurity Risk
• CSCE 704*/CYBR 604* Data Analytics for Cybersecurity
• CSCE 711*/CYBR 711* – Foundation of Modern Cryptography
• CSCE 713* – Software Security
• CSCE 726* – Large-Scale Optimization for Machine Learning
• CSCE 735* – Parallel Computing
• CSCE 765* – Network Security
• ECEN 649* – Pattern Recognition
• ECEN 740* – Machine Learning Engineering
• ECEN 759*/CYBR 630* – Hardware Security
• ECMT 673* – Economic Analytics
• ECMT 674* – Economic Forecasting
• FINC 629* – Financial Management I
• FINC 630* – Financial Management II
• FINC 646* – Technical Analysis of Financial Markets
• GEOG 660* – Applications in GIS
• ISEN 608* – Industrial Case Analysis
• ISEN 613* – Engineering Data Analysis
• ISEN 635* – Human Information Processing
• ITDE 689* – Advanced Entrepreneurship in Energy and Climate
• MATH 673* – Information, Secrecy, and Authentication I
• MGMT 632* – Technology Commercialization
• MGMT 633* – Organizational Change and Development
• MGMT 637* – Foundations of Entrepreneurship
• MGMT 639* – Negotiations in Competitive Environments
• MGMT 640* – Managing for Creativity & Innovation
• MGMT 675* – Leadership in Organizations
• MGMT 679* – International Business Policy
• MKTG 671* – Product Innovation
• MKTG 677* – Multinational Marketing Management
• MTDE 611* – Enterprise Basics for Technical Entrepreneurs
• MTDE 613* – Engineer to Chief Executive Officer
• MTDE 614* – Skills for Technology Leadership
• MTDE 615* – Startup Fundamentals – Launching, Growing, and Exiting a Startup Company
• MTDE 651* – Product Lean Launch for Engineers
• PETE 686* – Petroleum Data Analytics and Machine Learning
• PHPM 606* – Health Systems Management
• PSAA 608*/CYBR 661* – Cybersecurity Policy, Issues, and Operations – A Manager’s Guide
• SCMT 611 – Statistical Foundation of Data Analytics
• SCMT 637 – Modeling and Optimization
• SCMT 638 – Information Technology in Supply Chain Management
• SCMT 645 – Business Process Design
• SCMT 667 – Logistics and Distribution Management
• SCMT 680 – Practical Lean Business Systems
• STAT 604* – Topics in Statistical Computation
• STAT 608* – Regression Analysis
• STAT 616* – Statistical Aspects of Machine Learning I: Classical Multivariate Methods
• STAT 624* – Database and Computational Tools Used in Big Data
• STAT 626* – Methods in Time Series Analysis
• STAT 630* – Overview of Mathematical Statistics
• STAT 631* – Statistical Methods in Finance
• STAT 636* – Applied Multivariate Analysis and Statistical Learning
• STAT 647* – Spatial Statistics
• STAT 648* – Applied Statistics and Data Analysis
• STAT 650* – Statistical Foundation for Data Science
• STAT 651* – Statistics in Research I
• STAT 652* – Statistics in Research II
• STAT 654* – Statistical Computing with R and Python
• STAT 656* – Applied Analytics

*These courses have been approved as MS MIS electives; however, students may need to receive permission from the department offering the courses in order to enroll. See individual course restrictions in Howdy to determine eligibility.