The Master of Science in Information Systems—Bridge (MSIS-Bridge) addresses the needs of the digital revolution by preparing students with non–STEM, nontechnical bachelor’s degrees to become information systems professionals. MSIS-Bridge students are the link between business users and technologists. As industries launch into a digitized future, professionals with a clear understanding of how technology can be used to address significant societal challenges are in demand. The MSIS-Bridge program closes the gaps between business management, software engineering, and information technology to help students solve complex real-world issues in business and society. It also upskills and reskills to help individuals or businesses identify organizational skills gaps and create a tactical training plan to fill them with new skills and knowledge. Through specially created and selected core courses, students gain the engineering foundation needed to excel in the classroom and in the IT sector.
Bridge Coursework
Course List Code | Title | Hours |
INFO 5001 | Application Modeling and Design | 4 |
INFO 5002 | Introduction to Python for Information Systems | 4 |
Core Requirements
Course List Code | Title | Hours |
INFO 5100 and INFO 5101 | Application Engineering and Development and Lab for INFO 5100 | 4 |
Project or Thesis Options
Complete one of the following options:
Project Option
Course List Code | Title | Hours |
INFO 7976 | Directed Study | 4 |
Thesis Option
Course List Code | Title | Hours |
| 8 |
| Thesis | |
| |
General Information Systems Concentration
Course List Code | Title | Hours |
| 16 |
| Network Structures and Cloud Computing | |
| User Experience Design and Testing | |
| Big-Data Systems and Intelligence Analytics | |
| Web Design and User Experience Engineering | |
| Planning and Managing Information Systems Development | |
| Smartphones-Based Web Development | |
| Engineering of Big-Data Systems | |
| Special Topics in Artificial Intelligence Engineering and Applications | |
| Advances in Data Sciences and Architecture | |
| Cryptocurrency and Smart Contract Engineering | |
| Smart Contract Application Engineering and Development | |
| Engineering of Advanced Cryptocurrency Systems | |
| Regulatory Aspects of Smart Contract Automation | |
| Digital Smart Contracts Product Innovations | |
| Special Topics in Natural Language Engineering Methods and Tools | |
Electives
Course List Code | Title | Hours |
| |
| Network Structures and Cloud Computing | |
| High-Performance Parallel Machine Learning and AI | |
| User Experience Design and Testing | |
| Special Topics in Computer Systems Engineering | |
| Data Science Engineering with Python | |
| Data Management and Database Design | |
| Big-Data Systems and Intelligence Analytics | |
| Advanced Database Management Systems | |
| Systems and Cybersecurity Fundamentals | |
| Designing Advanced Data Architectures for Business Intelligence | |
| Data Science Engineering Methods and Tools | |
| Web Design and User Experience Engineering | |
| Program Structure and Algorithms | |
| Business Analysis and Information Engineering | |
| Planning and Managing Information Systems Development | |
| Web Development Tools and Methods and Lab for INFO 6250 | |
| Software Quality Control and Management | |
| Smartphones-Based Web Development | |
| High-Performance Coding for Fintech | |
| Accounting and Budgetary Systems for Engineers | |
| Agile Software Development | |
| Engineering of Big-Data Systems | |
| Advanced Big-Data Applications and Indexing Techniques | |
| Organizational Change and IT | |
| Special Topics in Artificial Intelligence Engineering and Applications | |
| Managerial Communications for Engineers | |
| Advances in Data Sciences and Architecture | |
| Cryptocurrency and Smart Contract Engineering | |
| Smart Contract Application Engineering and Development | |
| Engineering of Advanced Cryptocurrency Systems | |
| Regulatory Aspects of Smart Contract Automation | |
| Digital Smart Contracts Product Innovations | |
| Special Topics in Natural Language Engineering Methods and Tools | |
Optional Co-op Experience
Course List Code | Title | Hours |
| |
ENCP 6000 | Career Management for Engineers | 1 |
Program Credit/GPA Requirements
40 total semester hours required (41 with optional co-op)
Minimum 3.000 GPA required