The MSSE is a graduate program focused on the systematic, disciplined, and quantifiable approach to the development, operation, and maintenance of complex software systems. It goes beyond basic programming to address the entire software lifecycle, from requirements gathering and system design to construction, testing, deployment, and maintenance. The curriculum emphasizes principles of design patterns, software architecture, quality assurance, project management, and agile methodologies to prepare students to build reliable, scalable, and efficient software in a team-based environment.
The MSSE program combines theoretical foundations with practical skills in advanced software design, system architecture, DevOps, quality assurance, and emerging technologies. It prepares graduates for leadership roles in developing scalable, secure, and innovative software systems across industries.
Covers advanced programming, architecture, testing, DevOps, and secure software
Cloud Systems, Mobile/Web Development, or AI-driven Software Engineering tracks available
Graduate Capstone ensures students tackle real-world software engineering projects
Our comprehensive curriculum is structured into different blocks. Each block combines theoretical foundations and practical applications:
| Code | Course title | Credits | Type |
|---|---|---|---|
| SE 501 | Foundations of Software Engineering | 3 | Core |
| SE 502 | Advanced Programming & Data Structures | 3 | Core |
| SE 503 | Software Architecture & Design Patterns | 3 | Core |
| SE 504 | Software Testing & Quality Assurance | 3 | Core |
| SE 505 | Software Engineering Ethics & Professional Practice | 3 | Core |
| Credits required: 15 | |||
| Code | Course title | Credits | Type |
|---|---|---|---|
| SE 511 | Agile Project Management & DevOps | 3 | Core |
| SE 512 | Secure Software Development | 3 | Core |
| SE 513 | Graduate Capstone Project in Software Engineering | 3 | Core |
| Credits required: 9 | |||
Choose one: 12 credits
| Code | Course title | Credits | Type |
|---|---|---|---|
| SE 620 | Cloud Computing & Virtualization | 3 | Elective |
| SE 621 | Distributed Systems & Microservices | 3 | Elective |
| SE 622 | Containerization & Orchestration (Docker/Kubernetes) | 3 | Elective |
| SE 623 | Scalable Web Services | 3 | Elective |
| SE 630 | Advanced Web Application Development | 3 | Elective |
| SE 631 | Mobile Application Development (iOS/Android) | 3 | Elective |
| SE 632 | Human-Computer Interaction & UX Design | 3 | Elective |
| SE 633 | Full-Stack Development & Deployment | 3 | Elective |
| SE 640 | Machine Learning for Software Engineers | 3 | Elective |
| SE 641 | AI-Powered Software Testing | 3 | Elective |
| SE 642 | Natural Language Processing for Software Systems | 3 | Elective |
| SE 643 | Intelligent Automation & Software Agents | 3 | Elective |
| Credits required: 12 | |||
| Component | Credits |
|---|---|
| Core courses | 15 |
| Advanced core | 9 |
| Concentration tracks | 12 |
| Total credits: 0 | |
Graduates of this program have pursued various rewarding career paths:
Take a lead role in designing, developing, and implementing complex software components and systems; mentor junior developers
Make high-level design choices and dictate technical standards, including software coding standards, tools, and platforms for the entire organization
Bridge the gap between development and operations by automating and streamlining software integration, testing, deployment, and infrastructure management
To be considered for admission, applicants must meet the following requirements: