Online Master of Science in Management Information Systems (MS-MIS)

Program Details

The Master of Science in Management Information Systems (MS-MIS) is a rigorous degree program. Our students leave our program with a solid technical information systems foundation and appropriate business skills. Graduates can immediately contribute to solving business problems, which makes them highly valued and respected in the workforce and sought after by top companies.

Curriculum

Students may earn the Master of Science in Management Information Systems (MS-MIS) degree by completing 36 credit hours of business and technical courses. This coursework is divided into five required courses and seven elective courses. Students have the option to complete up to two professional internships.

One credit hour represents approximately one hour of class time per week. Most courses you will take in the MS-MIS program are three credit hours each. Therefore, you would expect that a three-credit hour course would meet for about three hours of instruction each week during the semester.

Prerequisites

The MS-MIS program has four program prerequisites:

• A course in programming (Java, C#, VB, etc. such as ISTM 250 or ISTM 601)
• A database management course (such as ISTM 315 or ISTM 615)
• A course in systems analysis and design (such as ISTM 320 or ISTM 620)
• A course in business data communications (such as ISTM 310 or ISTM 610)

Students may receive admission to the program without having already completed all four prerequisite courses; however, for a student’s application to be the most competitive, the student should have completed at least two of the four courses. We do not accept work experience, corporate training programs/classes, or courses taken through open online course providers as prerequisite credit. Only courses from accredited colleges/universities will be accepted.

Students admitted to the program without all four prerequisites must enroll at Texas A&M University during the summer prior to the start of the program in August to complete any outstanding prerequisites. The prerequisite courses will be offered in an online format, so they can be completed from anywhere. Courses taken at other institutions after the time of admission (either online or in person) will not be accepted for credit. Students will receive additional details about completing prerequisites (if necessary) with their admission offer.

MS-MIS Courses

The MS-MIS degree is a 36-hour, non-thesis graduate program that can be completed in 16 to 21 months. The program also allows for the completion of up to two professional internships.

Required MIS Core Courses (15 Credits)

• ISTM 622 Advanced Database Management
• ISTM 624 Advanced Systems Analysis & Design
• ISTM 630 MIS Project Management & Implementation
• ISTM 635 Business Information Security
• ISTM 643 Corporate Information Planning
• ISTM 685 MIS Career and Leadership Practicum (0 credit hour)

Elective Courses – Select seven courses (21 credits)

• ISTM 645 IT Security Controls
• ISTM 650 Business Data Mining
• ISTM 652 – Customer Relationship Management and Technologies
• ISTM 655 Security Management and Compliance
• ISTM 660 Applied Predictive Analytics for Business
• ISTM 662 – Management of the Technology Organization
• ISTM 680 Human-Computer Interaction in MIS
• ISTM 681 Ethics of Information Systems
• ISTM 684 Professional Internship
• ISTM 689 Special Topics in…
• CSCE 606* Software Engineering
• CSCE 625* Artificial Intelligence
• CSCE 629* Analysis of Algorithms
• CSCE 633* Machine Learning
• CSCE 636* Deep Learning
• CSCE 638* Natural Language Processing: Foundations & 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 & Analysis
• CSCE 678* / ECEN 757* Distributed Systems & Cloud Computing
• 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 765* Network Security
• ECEN 649* Pattern Recognition
• 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 635 Survey of Finance
• FINC 646 Technical Analysis of Financial Markets
• FINC 647 / ACCT 647 Financial Statement Analysis
• GEOG 660* Applications in GIS
• ISEN 608* Industrial Case Analysis
• ISEN 613* Engineering Data Analysis
• ISEN 635* Human Information Processing
• MATH 673* Information, Secrecy, & 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 655 Survey of Management
• MGMT 675 Leadership in Organizations
• MGMT 679 International Business Policy
• MGMT 680 Business and Corporate Strategy
• MKTG 621 Survey of Marketing
• MKTG 650 Analyzing Consumer Behavior
• 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 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, & Operations – A Manager’s Guide
• SCMT 611 Statistical Foundation of Data Analytics
• SCMT 637 Modeling & Optimization
• SCMT 638 Information Technology in Supply Chain Management
• SCMT 645 Business Process Design
• SCMT 667 Logistics and Distribution Management
• STAT 604* Topics in Statistical Computations
• STAT 608* Regression Analysis
• STAT 616* Statistical Aspects of Machine Learning I: Classical Multivariate Methods
• STAT 624* Databases & Computational Tools 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 & Statistical Learning
• STAT 647* Spatial Statistics
• STAT 648* Applied Statistics & Data Analysis
• STAT 650* Statistical Foundation for Data Science
• STAT 651* Statistics in Research I
• STAT 652* Statistics in Research II
• 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.

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.