Master of Science in Software Development
The MS in Software Development constitutes preparation for one of the largest and fastest-growing professions: software developer. It recognizes the ubiquitous and growing need for new and evolving software. The degree program is founded on the principle that developers must be thoroughly practiced in understanding new requirements in diverse fields and, acting as team members or leaders, fully competent to deliver secure, reliable software.
Students who complete the master’s degree in Software Development will be able to demonstrate:
- The ability to understand and analyze business and technical requirements.
- The confidence to work comfortably with a software development and project team.
- A high degree of competence in producing applications that satisfy requirements.
- The skills to produce secure, robust, and reliable designs and code.
- The capability to manage and participate in multi-location, multi-language development projects.
MS in Software Development Program Options
Available on campus and in the following formats:
Official transcripts of previous academic work, three letters of recommendation, personal statement, and résumé are required as part of the application.
A maximum of two graduate-level courses (8 credits) taken at Metropolitan College before acceptance into the program may be applied toward the degree.
Visit the online application to get started.
A minimum passing grade for a course in the graduate program is a C (2.0) but an average grade of B (3.0) must be maintained to be in good academic standing and to be eligible to graduate.
Applicants to the program are required to have a bachelor’s degree from a regionally accredited institution and must satisfy the following prerequisite:
MET CS 300 Introduction to Software Development
This course introduces basic concepts in discrete mathematics, computer systems and programming that are necessary for modern computing systems. It also develops analytic and logical thinking and prepares students to take graduate-level courses in software development degree. This course first reviews the basic concepts in discrete mathematics including logic, sets, functions, relations and combinatorics. Then it discusses the fundamental concepts in computer systems such as computer organization, basic OS concepts, CPU scheduling, memory management, process management and synchronization. Concurrently with the above mathematics and systems studies, programming concepts are introduced and practiced throughout the whole course using Python. [ 4 cr. ]Spring 2019
If college-level credit or professional experience are not in evidence, the Admissions Committee will determine if the prerequisite course will need to be taken.
Degree Requirements—On Campus
A total of 32 credits is required.
(Six courses/24 credits)
MET CS 521 Information Structures with Python
This course covers the concepts of the object-oriented approach to software design and development using the Python programming language. It includes a detailed discussion of programming concepts starting with the fundamentals of data types, control structures methods, classes, arrays and strings, and proceeding to advanced topics such as inheritance and polymorphism, creating user interfaces, exceptions and streams. Upon completion of this course students will be capable of applying software engineering principles to design and implement Python applications that can be used in conjunction with analytics and big data. Prerequisite: MET CS 300 Foundations of Modern Computing, or instructor's consent. [ 4 cr. ]Spring 2019
|A1||IND||M||6:00 pm – 8:45 pm|
|C1||IND||Pinsky||W||6:00 pm – 8:45 pm|
|E1||IND||Pinsky||W||6:00 pm – 8:45 pm|
|A1||IND||Lu||CAS 213||M||6:00 pm – 8:45 pm|
|C1||IND||Aleksandrov||CAS 226||W||6:00 pm – 8:45 pm|
|D1||IND||Pinsky||CGS 527||R||6:00 pm – 8:45 pm|
MET CS 526 Data Structures and Algorithms
This course covers and relates fundamental components of programs. Students use various data structures to solve computational problems, and implement data structures using a high-level programming language. Algorithms are created, decomposed, and expressed as pseudocode. The running time of various algorithms and their computational complexity are analyzed. [ 4 cr. ]Spring 2019
|B1||IND||Lee||T||6:00 pm – 8:45 pm|
|A1||IND||Lee||MCS B23||M||6:00 pm – 8:45 pm|
MET CS 622 Advanced Programming Techniques
Comprehensive coverage of object-oriented programming with cooperating classes. Implementation of polymorphism with inheritance and interfaces and in Java library containers. Programming with exceptions, stream input/output and graphical AWT and Swing components. Threads, sockets, datagrams and database connectivity are also covered in this course. Prerequisite: MET CS 342 or equivalent knowledge of Java. Or MET CS 521 and MET CS 526. Or instructor's consent. For graduates only. [ 4 cr. ]Spring 2019
|B1||IND||T||6:00 pm – 8:45 pm|
|B1||IND||Nourai||SOC B57||T||6:00 pm – 8:45 pm|
MET CS 634 Agile Software Development
This course provides students with a comprehensive overview of the principles, processes, and practices of agile software development. Students learn techniques for initiating, planning and executing on software development projects using agile methodologies. Students will obtain practical knowledge of agile development frameworks and be able to distinguish between agile and traditional project management methodologies. Students will learn how to apply agile tools and techniques in the software development lifecycle from project ideation to deployment, including establishing an agile team environment, roles and responsibilities, communication and reporting methods, and embracing change. We also leverage the guidelines outlined by the Project Management Institute for agile project development as a framework in this course. [ 4 cr. ]Spring 2019
|C1||IND||W||6:00 pm – 8:45 pm|
MET CS 665 Software Design and Patterns
Software design principles, the object-oriented paradigm, unified modeling language; creational, structural, and behavioral design patterns; OO analysis and design; implementation of semester project. Laboratory course. Prereq: MET CS 341, MET CS 342, MET CS 520, or MET CS 521. Or instructor's consent. [ 4 cr. ]
|D1||IND||Tizio||MCS B19||R||6:00 pm – 8:45 pm|
MET CS 682 Information Systems Analysis and Design
Object-oriented methods of information systems analysis and design for organizations with data- processing needs. System feasibility; requirements analysis; database utilization; Unified Modeling Language; software system architecture, design, and implementation, management; project control; and systems-level testing. [ 4 cr. ]Spring 2019
|C1||IND||Guadagno||W||6:00 pm – 8:45 pm|
|D1||IND||Guadagno||R||6:00 pm – 8:45 pm|
|E1||IND||Guadagno||W||6:00 pm – 8:45 pm|
|D1||IND||Guadagno||KCB 102||R||6:00 pm – 8:45 pm|
|E1||IND||Guadagno||KCB 102||R||6:00 pm – 8:45 pm|
(Two courses/8 credits)
Select two from the following list:
MET CS 602 Server-Side Web Development
The Server-Side Web Development course concentrates primarily on building web applications using PHP/MySQL and Node.js/MongoDB. The course is divided into various modules covering in depth the following topics: PHP, MySQL, Object oriented PHP, PHP MVC, Secure Web applications, Node.js and MongoDB. Along with the fundamentals underlying these technologies, several applications will be showcased as case studies. Students work with these technologies starting with simple applications and then examining real world complex applications. At the end of this course, students would have mastered the web application development on the server-side. Prerequisite: MET CS 601. Or instructor's consent. [ 4 cr. ]Spring 2019
|C1||IND||Sheehan||W||6:00 pm – 8:45 pm|
|B1||IND||Sheehan||EPC 204||T||6:00 pm – 8:45 pm|
MET CS 633 Software Quality, Testing, and Security Management
Theory and practice of security and quality assurance and testing for each step of the software development cycle. Verification vs. validation. Test case design techniques, test coverage criteria, security development and verification practices, and tools for static and dynamic analysis. Standards. Test-driven development. QA for maintenance and legacy applications. From a project management knowledge perspective, this course covers the methods, tools and techniques associated with the following processes -- Plan Quality, Perform Quality Assurance, and Perform Quality Control. Prereq: MET CS 520 or 521. Or instructor's consent. [ 4 cr. ]Spring 2019
|C1||IND||Elentukh||KCB 102||W||6:00 pm – 8:45 pm|
|E1||IND||Elentukh||KCB 102||W||6:00 pm – 8:45 pm|
MET CS 669 Database Design and Implementation for Business
Students learn the latest relational and object-relational tools and techniques for persistent data and object modeling and management. Students gain extensive hands- on experience using Oracle or Microsoft SQL Server as they learn the Structured Query Language (SQL) and design and implement databases. Students design and implement a database system as a term project. Restrictions: Only for MS CIS. This course may not be taken in conjunction with MET CS 469 (undergraduate) or MET CS 579. Only one of these courses can be counted towards degree requirements. [ 4 cr. ]Spring 2019
|A1||IND||Wolfe||M||6:00 pm – 8:45 pm|
|C1||IND||Maiewski||W||6:00 pm – 8:45 pm|
|BCL||IND||Parrott||U||8:00 am – 3:30 pm|
|BHA||IND||M||6:00 pm – 8:45 pm|
|C1||IND||Maiewski||CAS 237||W||6:00 pm – 8:45 pm|
|D1||IND||Matthews||FLR 134||R||6:00 pm – 8:45 pm|
|E1||IND||Matthews||FLR 134||R||6:00 pm – 8:45 pm|
MET CS 677 Data Science with Python
Students will learn major Python tools and techniques for data analysis. There are weekly assignments and mini projects on topics covered in class. These assignments will help build necessary statistical, visualization and other data science skills for effective use of data science in a variety of applications including finance, text processing, time series analysis and recommendation systems. In addition, students will choose a topic for a final project and present it on the last day of class. Prerequisite: MET CS 521 or equivalent. Or, instructor's consent. [ 4 cr. ]
|C1||IND||Pinsky||COM 213||W||6:00 pm – 8:45 pm|
MET CS 683 Mobile Application Development with Android
This course discusses the principles and issues associated with mobile application development using Android as the development platform. Topics covered will include Android application components (Activities, Services, Content Providers and Broadcast Receivers), ICC (Inter-component Communication), UI design, data storage, asynchronous processing, 2D graphics, and Android security. Students will develop their own apps in Java and/or Kotlin using Android Studio in their semester-long projects. Prior knowledge of Java programming is required. [ 4 cr. ]
|D1||IND||Zhang||SOC B63||R||6:00 pm – 8:45 pm|
MET CS 701 Rich Internet Application Development
The Rich Internet Application (RIA) Development course concentrates primarily on building rich client web applications in the browser for desktop and mobile devices. The course is divided into various modules covering in depth the following technologies: HTML5, AngularJS, and Ionic framework. Along with the fundamentals underlying these technologies, several applications will be showcased as case studies. Students work with these technologies starting with simple applications and then examining real world complex applications. At the end of this course, students would have mastered the latest and widely used RIA methodologies. Course Prerequisites: METCS520 (Information Structures) and METCS601 (Web Application Development), or instructor's consent. [ 4 cr. ]Spring 2019
|C1||IND||Kalathur||CAS 426||W||6:00 pm – 8:45 pm|
MET CS 763 Secure Software Development
Overview of techniques and tools to develop secure software. Focus on the application security. Topics include secure software development processes, threat modeling, secure requirements and architectures, vulnerability and malware analysis using static code analysis and dynamic analysis tools, vulnerabilities in C/C++ and Java programs, Crypto and secure APIs, vulnerabilities in web applications and mobile applications, and security testing. Hands-on lab and programming exercises using current tools are provided and required. Prerequisite: At least two 500- level (or above) programming-intensive computer science courses; or instructor's consent. [ 4 cr. ]
|B1||IND||T||6:00 pm – 8:45 pm|
MET CS 767 Machine Learning
Theories and methods for automating and representing knowledge with an emphasis on learning from input/output data. The course covers a wide variety of approaches, including Supervised Learning, Neural Nets and Deep Learning, Reinforcement Learning, Expert Systems, Bayesian Learning, Fuzzy Rules, Genetic Algorithms, and Swarm Intelligence. Each student focuses on two of these approaches and creates a term project. Laboratory course. Prerequisite: MET CS 521 or MET CS 622 or MET CS 673. Or instructor's consent. [ 4 cr. ]Spring 2019
|C1||IND||Braude||W||6:00 pm – 8:45 pm|
|BHA||IND||R||6:00 pm – 8:45 pm|
|C1||IND||Braude||COM 215||W||6:00 pm – 8:45 pm|
|C2||IND||Berry||KCB 106||W||6:00 pm – 8:45 pm|
Students interested in taking electives outside of the stated requirements should contact the Department of Computer Science for approval.
Degree requirements for the online MS in Software Development can be viewed here.
Degree requirements for the online MS in Software Development can be viewed here.
To view a full list of Computer Science courses offered by Metropolitan College, visit the Computer Science & IT Graduate Courses page.