Online Master of Science in Software Development Degree
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 online 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.
Why Choose BU’s Master of Science in Software Development?
- The MSSD is one of the only software development graduate degrees in the United States.
- Metropolitan College’s Software Development program prepares students to excel in an agile environment, where the creation of software is a process that involves multiple stakeholders.
- Students benefit from a supportive online network, with courses developed and taught by PhD-level full-time faculty and professionals with hands-on expertise in the industry.
- Small course sections ensure that students get the attention they need, while case studies and real-world projects ensure that they gain in-depth, practical experience with the latest technologies.
Computer and Information Research Scientists
11% increase in jobs through 2024
$110,620 median annual pay in 2015
17% increase in jobs through 2024
$100,690 median annual pay in 2015
Bureau of Labor Statistics, U.S. Department of Labor, Occupational Outlook Handbook, 2016-17 Edition
Best Technology Jobs, 2017 U.S. News & World Report
- #1 Computer Systems Analyst
- #2 Software Developer
- #3 IT Manager
- #4 Web Developer
- #5 Computer Network Architect
- #6 Database Administrator
- #7 Information Security Analyst
- #8 Computer Support Specialist
- #9 Computer Systems Administrator
- #10 Computer Programmer
Boston University Metropolitan College (MET) offers competitive tuition rates that meet the needs of part-time students seeking an affordable education. These rates are substantially lower than those of the traditional, full-time residential programs yet provide access to the same high-quality BU education. To learn more about current tuition rates, visit the MET website.
Comprehensive financial assistance services are available at MET, including graduate assistantships (up to $4,200 per semester), scholarships, graduate loans, and payment plans. There is no cost to apply for financial assistance, and you may qualify for a student loan regardless of your income. Learn more.
Boston University’s online Master of Science in Software Development consists of eight courses (32 credits).
(Six courses/24 credits)
METCS521 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 credits]
METCS526 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 credits]
METCS622 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 credits]
METCS634 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 credits]
METCS665 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 credits]
METCS682 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 credits]
(Two courses/8 credits)
Choose two from the following courses:
METCS602 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 credits]
METCS633 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 credits]
METCS669 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 credits]
METCS683 Mobile Application Development with Android
This course will be divided into two parts. The first part, two thirds of the course, covers the principles and problems associated with mobile device applications, using as examples Google Android, iPhone, and other platforms such as Nokia. The last third is an in depth coverage of the open source Android development platform. Issues covered will include Mobile Hardware and Cell Networks, Architectures, Operating Systems, Languages, Development Environments and Simulators, User Interfaces, Location-based Services, Storing and Retrieving Data. Students will accomplish the following. (1) Learn the unique set of problems and challenges in developing mobile applications compared with desktop applications; (2) Learn the platform, tools, technology and process for developing mobile applications using Google Android and the Apple iPhone platforms as the main examples; (3) Write applications for the platforms covered, simulate them, and test them on the mobile hardware where possible; and (4) Work collaboratively with fellow students on their projects. Prereq: MET CS 342 OR MET CS 520 or MET CS 521. Or instructor's consent. [4 credits]
METCS701 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 credits]
METCS767 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 credits]
Students interested in taking electives outside of the stated requirements should contact the Department of Computer Science for approval.
Applicants to the program are required to have a bachelor’s degree from a regionally accredited institution and must satisfy the following prerequisite:
METCS300 Foundations of Modern Computing
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 credits]
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.
Associate Professor of Computer Science
PhD, Columbia University; MS, University of Miami; MS, University of Illinois; BS, University of Natal (South Africa)
Associate Dean for Academic Affairs and Associate Professor of Computer Science; Director of Health Informatics and Health Sciences Programs
PhD, Boston University; MS, Medical College of Virginia; MS, BS, University of Belgrade
Lecturer in Computer Science
MSEE, BSEE, University of Illinois
Lecturer in Computer Science Assistant Professor of Computer Science; Director of Analytics Programs Associate Professor of Computer Science; Director of Project Management Programs Assistant Professor of Computer Science Associate Professor of Computer Science Associate Professor Emeritus of Computer Science Assistant Professor and Chair of Computer Science Assistant Professor of Computer Science; Faculty Coordinator for Health Informatics Programs Assistant Professor of Computer Science Dean of Metropolitan College and Professor of the Practice of Computer Science and Education; Director of Security Programs
MS, Southern Connecticut State University; BS, University of Wisconsin, Madison
PhD, Brandeis University; MS, Indian Institute of Technology; BS, Regional Engineering College (Warangal, India)
Vijay Kanabar, PMP
PhD, University of Manitoba (Canada); MS, Florida Institute of Technology; MBA, Webber College; BS, University of Madras (India)
Jae Young Lee
PhD, MS, University of Texas at Arlington; BS, Seoul National University (Korea)
PhD, MS, University of Rochester; BA, University of California San Diego
PhD, Leningrad Aluminum Institute (Russia); MS, Leningrad Institute of Technology; MBA, Boston University
PhD, Kazan University (Russia); MS, Moscow University
PhD, MEng, Nanyang Technological University, Singapore; BS, Luoyang Institute of Technology
PhD, Boston University; MS, BS University of Science and Technology Beijing
PhD, Dresden University of Technology (Germany); MS, Dresden University of Technology; BS, Dresden University of Technology
Lecturer in Computer Science
Assistant Professor of Computer Science; Director of Analytics Programs
Associate Professor of Computer Science; Director of Project Management Programs
Assistant Professor of Computer Science
Associate Professor of Computer Science
Associate Professor Emeritus of Computer Science
Assistant Professor and Chair of Computer Science
Assistant Professor of Computer Science; Faculty Coordinator for Health Informatics Programs
Assistant Professor of Computer Science
Dean of Metropolitan College and Professor of the Practice of Computer Science and Education; Director of Security Programs
To learn more or to contact an enrollment advisor before you get started, request information using the button below and tell us a little about yourself. Someone will be in touch to answer any questions you may have about the program and detail the next steps in earning your degree. You can also start your application or register for a course at Metropolitan College.