Master of Science in Software Engineering
- Global Campus: Yes
- 93 TOEFL Minimum score
The Master of Science in Software Engineering (MSSE) is a terminal, non-thesis, online degree that is offered through WSU’s Global Campus. The asynchronous delivery mode makes the program equally suitable for working professionals looking for part-time, slower-pace participation as well as full-time graduate students seeking a quicker-pace to completion for a professional MS degree. The MSSE program focuses on advanced courses in Software Engineering such as software design and development, software testing and validation, software maintenance, software security, and software management and integration-all specialties of high demand among the State’s computing and IT industries. In addition, the MSSE degree includes engineering management courses that will prepare graduates for a successful team and project management.
Statement of Purpose, (3) Letters of Recommendation, and Transcripts.
Student Learning Outcome:
All graduates will be able to:
- Students have general mastery of their field of study in Software Engineering.
- Students have mastery of knowledge in a specialized area.
- Students are able to conduct state-of-the-art research in a specialize area that makes a contribution to the knowledge base.
- Students can effectively communicate their research in oral and written form.
- Students are able to disseminate research results in archival literature.
The online master’s courses are designed and taught by faculty members at WSU’s world-renowned School of Electrical Engineering and Computer Science. Those faculty members include experts in computer science, data science, software maintenance and evolution, software testing, and security.
Employment in the area of software engineering is growing rapidly with jobs such as Software Development Engineer, Software Developer, and Software Engineer growing about 87%, 56% and 74%, respectively, in Washington alone in 2012-2013. It is expected to continue this trajectory through 2020. Software Engineers typically earn six-figure salaries. Graduates can choose to pursue a career as Software Developer, Software Engineer, Requirements Engineer, Quality Assurance Engineer, Project Manager, and many others.
Arnaoudova, Venera, Ph.D.
Software engineering, particularly, software evolution, analysis of source code lexicon and documentation, empirical software engineering, refactoring, patterns, and anti-patterns
Ay, Sakire Arslan, Ph.D.
Bakken, David Edward, Ph.D.
Infrastructure software, middleware.
GridStat: next-generation wide-area mission critical data delivery for the power grid
Belzer, Benjamin Joseph, Ph.D.
Broschat, Shira Lynn, Ph.D.
Call, Douglas Ruben, Ph.D.
Mechanisms that lead to the emergence, amplification, persistence and dissemination of antibiotic resistance in food animal production systems.
Carter, Adam Scott, M.S.
Cole, Clint S, M.S.
Cook, Diane Joyce, Ph.D.
Artificial intelligence, machine learning, data mining, robotics, smart environments, and parallel algorithms for artificial intelligence.
Dang, Zhe, Ph.D.
Model-checking and testing for infinite-state and/or real-time systems
Automata theory and Membrane computing systems (P systems)
Delgado-Frias, Jose G, Ph.D.
Doppa, Janardhan Rao, Ph.D.
Dubey, Anamika, Ph.D.
Developing methods and analytics to facilitate an efficient, secure, resilient, adaptable, and economic power supply
Fischer, Thomas Robert, Ph.D.
Gebremedhin, Assefaw, Ph.D.
Algorithms, Data Science, Machine Learning
Ghasemzadeh, Hassan, Ph.D.
Embedded System Design
Gupta, Subhanshu, Ph.D.
Broadband sampling architectures
High-speed interconnects and sensor interfaces
High-speed data converters
Biomedical imaging and signal processing for circuit design
Hahn, Adam, Ph.D.
Hajar, Ahmed Abu, Ph.D.
Hanshaw, Timothy Charles, M.S.
Hauser, Carl H, Ph.D.
Distributed Systems, Networking, Concurrent Programming Models and Mechanisms, Programming Language Implementations.
Heo, Deuk Hyoun, Ph.D.
Holder, Lawrence, Ph.D.
Hundhausen, Christopher, Ph.D.
Human-centered Environments for Learning and Programming Lab: Design and empirical evaluation of computer technologies and pedagogical approaches that help undergraduate students learn within the domains of engineering and computer science.
Ji, Shuiwang, Ph.D.
Machine learning, data mining, computational biology, and computational neuroscience
Kalyanaraman, Anantharaman, Ph.D.
Computational biology and bioinformatics; high-performance computing; combinatorial pattern matching.
Kim, Dae Hyun, Ph.D.
Three-Dimensional Integrated Circuits (3D ICs) and Systems
Low-Power and High-Performance Computer Systems
Design Methodologies and Optimization Algorithms for Emerging Technologies and Systems
Liu, Chen-Ching, Ph.D.
Lotfifard, Saeed, Ph.D.
Mazrouee, Sepideh, Ph.D.
Mehrizi-Sani, Ali, Ph.D.
Integration of renewable energy resources in the power system, Power electronics interfaces for distributed generation, Control and management of microgrids and smart grid, Power system applications of power electronics.
Murray, Jacob Ashton, Ph.D.
Sustainable Many-Core Architectures
Olds, Evan Thomas, M.S.
Olsen, Robert G, Ph.D.
Pande, Partha Pratim, Ph.D.
Pedrow, Patrick D, Ph.D.
Roy, Sandip, Ph.D.
Saberi, Ali, Ph.D.
Optimal Control, Non Linear Systems and Control, Linear Systems and Control, Linear Robust Control, Filtering and Inverse Filtering, Fault Detection and Isolation, Dynamic and Complex Networks, Control, Communications, and Signal Processing, Constrained Control Problems, Complex Systems, Adaptive Control and Filtering
Schneider, John Brand, Ph.D.
Shirazi, Behrooz, Ph.D.
Sivakumar, Krishnamoorthy, Ph.D.
Sprint, Gina Lee, Ph.D.
Srivastava, Anurag K, Ph.D.
Stability, security and vulnerability analysis Real time modeling and simulation Testing and validation of smart grid algorithms and devices Intelligent control application Distributed generation and micro-grid Decision support and situational awareness using phasor data Interoperability and data integration
Tosic, Predrag, Ph.D.
Data science, machine learning, intelligent agents, large-scale data mining and AI, yber-physical systems, distributed coordination and control, large-scale complex networks, mathematical models and algorithms for smart energy and other grids
Venkatasubramanian, Vaithianath, Ph.D.
Wang, Kung-Chi, Ph.D.
Wu, Yinghui, Ph.D.
Big data, databases systems and data management, with emphasis on graph database, graph query models and languages, distributed and dynamic graphs.
Zeng, Bolong, Ph.D.