MS in Software Engineering

Software Engineering is concerned primarily with the systematic and disciplined approach to developing software systems. It requires the application of both computer engineering and computer science principles and practices to the creation, operation, and maintenance of software systems and applications.

Software systems are becoming increasingly complex, and emerging technologies are pushing the boundaries of reusable components and software quality assurance. The growth of software use in all areas and aspects of everyday life has increased over the past decades and has now become an integral part of society.

The reliance on software in critical areas including infrastructure, transportation, utilities, national security, and defense has resulted in the need for properly trained and motivated individuals. ACM along with IEEE, has also indicated in their Computing Curricula 2020 (Dec 31^st. 2020), that there has also been a shift away from knowledge-based learning to competency-based learning.

They define competency as a combination of Knowledge (know-what) + Skills (know-how) + Disposition (know-why). This program brings together these areas using fundamental software courses to provide base knowledge, mid-level and advanced application areas with practical examples to build the competencies and the communication, intellectual, social and moral dispositions needed in this field.

The Masters program in Software Engineering is directed to professionals who want to advance their competency (knowledge, skills and disposition) in the software arena. This program allows the professional to move beyond the simple view of software as an exercise in "coding".

It encompasses the overall process of software development with an emphasis on developing the skills needed to design, develop, and manage large and small software-related projects in diverse fields. The program also offers courses in various application areas including Artificial Intelligence and Learning, Cyber-Security, Cloud-based and Mobile application development, Data analysis and Data science.