Certificate Details
The graduate certificate program in Web Application Development introduces the fundamental concepts of web applications, providing a comprehensive coverage of both client-side and server-side development.
Master Front-End and Back-End Technologies for Modern Web Development
Metropolitan College offers a Graduate Certificate in Web Application Development designed to equip students with comprehensive skills in both client-side and server-side web development. The 16-credit program, which can be completed in 8–12 months either online or on campus, covers modern technologies such as JavaScript, HTML5, CSS, Vue.js, Angular, PHP, and Node.js. Students engage in hands-on projects that involve building real-world web applications and working with databases like Oracle, MySQL, and MongoDB. Upon completion, graduates are prepared for roles such as Web Application Developer, Full Stack Web Developer, and Web Solutions Engineer, where they can design user interfaces, develop interactive websites, and manage complex data-driven applications.
The Graduate Certificate in Web Application Development is also available on campus in Boston. Learn more.
Curriculum
Prerequisites
Applicants are not required to have a degree in computer science for entry to a program within the Department of Computer Science. Upon review of your application, the department will determine if the completion of prerequisite coursework will be required, based on your academic and professional background.
A maximum of two graduate-level courses (8 credits) taken at Metropolitan College before acceptance into the program may be applied towards the certificate.
Requirements
Visit the BU MET Website for Admission Details.
Boston University’s Graduate Certificate in Web Application Development consists of four required online courses (16 credits).
Academic credits earned toward the online Graduate Certificate in Information Security may be transferred to the Master of Science degree in Computer Information Systems, concentration in Web Application Development .
There are three required courses:
Required Courses
MET CS 601 4 credits.
Prerequisite: MET WD 100 - Learn essential front-end development skills, starting with foundational JavaScript techniques, such as DOM manipulation and event handling, and advancing to interactive web technologies like HTML's Drag and Drop, Canvas, and SVG. You will be exposed to asynchronous operations, including AJAX, the Fetch API, and Web Workers, and learn to craft responsive designs using Flexbox, CSS Grid, and advanced CSS selectors. A comprehensive exploration of TypeScript and its main feature, static typing, and capabilities will also be covered. The course concludes with a comprehensive dive into ReactJS, covering its core architectural concepts, component-based structure, and state management techniques.
Section A1, SPRG 2026 Jan 20th to Apr 30th
Davoodi
Independent
T
06:00:00 PM–08:45:00 PM
CAS 315
MET CS 602 4 credits. Fall and Spring
Prerequisite: MET CS 601 Or instructor's consent. - The Server-Side Web Development course concentrates primarily on building full stack applications using the state of the art tools and frameworks. The course is divided into various modules covering in depth the following topics: NodeJS, Express, React, MongoDB, Mongoose ODM, Sequelize ORM, REST and GraphQL APIs, and application security. 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 developing the full stack applications using the MERN stack and related technologies.
Section O1, SPRG 2026 Jan 13th to Mar 2nd
Kalathur
Independent
ARR
12:00:00 AM–12:00:00 AM
MET CS 701 4 credits. Fall and Spring
Undergraduate Prerequisites: MET CS 520 or MET CS 601 and programming experience, or instructor's c onsent - 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.
Students must also take one course from the following:
Elective Courses
MET CS 544 4 credits. Fall and Spring
Prerequisites: MET LB 103, MET LB 104, and (METCS 520 or METCS 521), or equivalent knowledge, or consent of instructor. The goal of this course is to provide students with the mathematical and practical background required in the field of data analytics. Probability and statistics concepts will be reviewed as well as the R tool for statistical computing and graphics. Different types of data are investigated along with data summarization techniques and plotting methods. Data populations using discrete, continuous, and multivariate distributions are explored. Sampling methods and errors during measurements and computations are analyzed in the course. String manipulations and data wrangling methods are examined in detail. The concepts covered in the course are demonstrated using R. Laboratory Course. Restrictions: This course may not be taken in conjunction with MET CS 550.
Section A1, SPRG 2026 Jan 20th to Apr 30th
Rizinski
Independent
M
06:00:00 PM–08:45:00 PM
MET 122
Section O1, SPRG 2026 Jan 13th to Mar 2nd
Kalathur
Independent
ARR
12:00:00 AM–12:00:00 AM
MET CS 555 4 credits. Fall and Spring
Prerequisites: MET CS 544 or MET CS 550 or consent of instructor. Learn the foundations of machine learning, regression, and classification. Topics include how to describe data, statistical inference, 1 and 2 sample tests of means and proportions, simple linear regression, multiple linear regression, multinomial regression, logistic regression, analysis of variance, and regression diagnostics. These topics are explored using the statistical package R, with a focus on understanding how to use these methods and interpret their outputs and how to visualize the results. In each topic area, the methodology, including underlying assumptions and the mechanics of how it all works along with appropriate interpretation of the results are discussed. Concepts are presented in context of real-world examples in order to help you learn when and how to deploy different methods.
Section A1, SPRG 2026 Jan 20th to Apr 30th
Zhang
Independent
R
12:30:00 PM–03:15:00 PM
COM 217
Section A2, SPRG 2026 Jan 20th to Apr 30th
Alizadeh-Shabdiz
Independent
W
06:00:00 PM–08:45:00 PM
CAS 116
Section O2, SPRG 2026 Mar 10th to Apr 27th
Alizadeh-Shabdiz
Independent
ARR
12:00:00 AM–12:00:00 AM
MET CS 570 4 credits. Fall and Spring
Designed for current and aspiring IT professionals preparing for healthcare-related IT (Health Informatics) careers, this course provides a high-level introduction to basic concepts of biomedicine and familiarizes students with the structure and organization of the American healthcare system and the role played by IT. Medical terminology, human anatomy and physiology, disease processes, diagnostic modalities, and treatments associated with common disease processes are introduced. IT case studies also demonstrate the key roles of health informatics and how IT tools and resources help medical professionals integrate multiple sources of information to make diagnostic and therapeutic decisions.
Section A1, SPRG 2026 Jan 20th to Apr 30th
Keskin
Independent
T
06:00:00 PM–08:45:00 PM
MUG 205
MET CS 580 4 credits. Fall and Spring
This course presents the fundamental principles, concepts, and technological elements that make up the building blocks of Health Informatics. It introduces the characteristics of data, information, and knowledge in the domain, the common algorithms for health applications, and IT components in representative clinical processes. It presents the conceptual framework for handling biomedical data collection, storage, and optimal use. It covers the concepts of population health and precision medicine and the information systems that support them. It introduces basic principles of knowledge management systems in biomedicine, various aspects of Health Information Technology standards, and IT aspects of clinical process modeling. Students design a simple Health Informatics solution as a term project.
Section A1, SPRG 2026 Jan 20th to Apr 30th
Diwania
Independent
M
06:00:00 PM–08:45:00 PM
MCS B37
MET CS 581 4 credits. Fall and Spring
Health Information Systems are comprehensive application systems that automate the activities of healthcare delivery including clinical care using electronic health records (EHRs), coordination of care across providers, telehealth, management of the business of healthcare such as revenue cycle management, and population health management. The course covers the functionality of these systems, the underlying information technology they require and their successful operations. It addresses challenges in this rapidly changing field such as complex data, security, interoperability, mobile technology and distributed users. The course emphasizes applied use of health information systems through case studies, current articles, and exercises.
Section O1, SPRG 2026 Jan 13th to Mar 2nd
Levinger
Independent
ARR
12:00:00 AM–12:00:00 AM
MET CS 632 4 credits. Fall and Spring
A comprehensive overview of the principles, processes, and practices of software project management, grounded in the latest standards from the Project Management Institute (PMI). Gain hands-on experience in planning, organizing, scheduling, and controlling software projects, with a strong emphasis on both predictive and adaptive methodologies. In particular, the course explores agile project management with a focus on the Scrum framework. You will develop practical competencies in business analysis, defining requirements, leading and managing distributed teams, facilitating project communications, handling change management, and assessing risk and cost estimation. A key component of the course involves the design and development of AI-powered applications, equipping students with AI literacy and demonstrating how AI can enhance software project management practices. This course qualifies you to pursue CAPM and PMP credential. Also, this course fulfills the educational requirements necessary to pursue the Certified Associate in Project Management (CAPM)® and Project Management Professional (PMP)® certifications offered by the Project Management Institute (PMI). Effective Fall 2020, this course fulfills a single unit in the following BU Hub area: Teamwork/Collaboration.
Section A1, SPRG 2026 Jan 20th to Apr 30th
Campbell
Independent
W
06:00:00 PM–08:45:00 PM
STH B19
MET CS 632S 4 credits. Summer
A comprehensive overview of the principles, processes, and practices of software project management, grounded in the latest standards from the Project Management Institute (PMI). Gain hands-on experience in planning, organizing, scheduling, and controlling software projects, with a strong emphasis on both predictive and adaptive methodologies. In particular, the course explores agile project management with a focus on the Scrum framework. You will develop practical competencies in business analysis, defining requirements, leading and managing distributed teams, facilitating project communications, handling change management, and assessing risk and cost estimation. A key component of the course involves the design and development of AI-powered applications, equipping students with AI literacy and demonstrating how AI can enhance software project management practices. This course qualifies you to pursue CAPM and PMP credential. Also, this course fulfills the educational requirements necessary to pursue the Certified Associate in Project Management (CAPM)® and Project Management Professional (PMP)® certifications offered by the Project Management Institute (PMI). Effective Fall 2020, this course fulfills a single unit in the following BU Hub area: Teamwork/Collaboration.
MET CS 633 4 credits. Fall and Spring
Examine software development and software engineering from a project and program management perspective, with a focus on leading agile and distributed teams. You will engage in a term project featuring peer-reviewed milestones and a working prototype. Topics include AI-driven quality assurance (QA), team leadership, and effective collaboration in distributed settings. Additional topics covered in the course include information systems security, ethics, and professional responsibility. No programming background required.
Section O1, SPRG 2026 Jan 13th to Mar 2nd
ELENTUKH
Independent
ARR
12:00:00 AM–12:00:00 AM
MET CS 633S 4 credits. Summer
Examine software development and software engineering from a project and program management perspective, with a focus on leading agile and distributed teams. You will engage in a term project featuring peer-reviewed milestones and a working prototype. Topics include AI-driven quality assurance (QA), team leadership, and effective collaboration in distributed settings. Additional topics covered in the course include information systems security, ethics, and professional responsibility. No programming background required.
MET CS 634 4 credits. Fall and Spring
This course provides a comprehensive overview of the principles, processes, and practices of agile software development. Students learn how to initiate, plan, and execute software projects using a variety of agile methodologies. The course covers multiple frameworks—including Scrum, Extreme Programming (XP), the Scaled Agile Framework (SAFe), and Lean—and incorporates agile games and simulations to reinforce key concepts. Students gain practical experience with agile tools and techniques across the software development lifecycle, from ideation to deployment. Emphasis is placed on building and leading agile teams, defining roles and responsibilities, fostering effective communication, managing change, and applying Lean principles to maximize value and reduce waste. AI-Powered business analysis is also a core focus, with students learning how to identify stakeholder needs, define and manage requirements, and ensure that solutions deliver business value in agile contexts.
Section O2, SPRG 2026 Mar 10th to Apr 27th
Heda
Independent
ARR
12:00:00 AM–12:00:00 AM
MET CS 634S 4 credits. Summer
This course provides a comprehensive overview of the principles, processes, and practices of agile software development. Students learn how to initiate, plan, and execute software projects using a variety of agile methodologies. The course covers multiple frameworks—including Scrum, Extreme Programming (XP), the Scaled Agile Framework (SAFe), and Lean—and incorporates agile games and simulations to reinforce key concepts. Students gain practical experience with agile tools and techniques across the software development lifecycle, from ideation to deployment. Emphasis is placed on building and leading agile teams, defining roles and responsibilities, fostering effective communication, managing change, and applying Lean principles to maximize value and reduce waste. AI-Powered business analysis is also a core focus, with students learning how to identify stakeholder needs, define and manage requirements, and ensure that solutions deliver business value in agile contexts.
MET CS 674 4 credits. Fall and Spring
The course provides a strong foundation in database security and auditing by utilizing Oracle scenarios and step-by-step examples. The following topics are covered: security, profiles, password policies, privileges, roles, Virtual Private Databases, and auditing. The course also covers advanced topics such as SQL injection, database management, and security issues, such as securing the DBMS, enforcing access controls, and related issues.
Section O2, SPRG 2026 Mar 10th to Apr 27th
Zhang
Independent
ARR
12:00:00 AM–12:00:00 AM
MET CS 683 4 credits. Fall and Spring
Prerequisites: MET CS 342 OR MET CS 520 OR MET CS 521. Or consent of instructor. - Learn the principles, techniques, and issues associated with modern 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), declarative UI design, data storage, asynchronous processing, Android sensing, 2D graphics, and Android security. You will use Kotlin as the main language for Android development and the latest Jetpack APIs. You will also develop your own app in Kotlin using Android Studio as your semester-long project.
Section O2, SPRG 2026 Mar 10th to Apr 27th
Zhang
Independent
ARR
12:00:00 AM–12:00:00 AM
MET CS 683S 4 credits. Summer
Prerequisites: MET CS 342 OR MET CS 520 OR MET CS 521. Or consent of instructor. - Learn the principles, techniques, and issues associated with modern 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), declarative UI design, data storage, asynchronous processing, Android sensing, 2D graphics, and Android security. You will use Kotlin as the main language for Android development and the latest Jetpack APIs. You will also develop your own app in Kotlin using Android Studio as your semester-long project.
MET CS 684 4 credits. Fall and Spring
This course covers important topics that students need to understand in order to effectively manage a successful cybersecurity and privacy program, including governance, risk management, asset classification and incidence response. Students are first introduced to cybersecurity & privacy policy frameworks, governance, standards, and strategy. Risk tolerance is critical when building a cybersecurity and privacy program that supports business goals and strategies. Risk management fundamentals and assessment processes will be reviewed in depth including the methodology for identifying, quantifying, mitigating and controlling risks. Asset classification and the importance of protecting Intellectual Property (IP) will prepare students to understand and identify protection mechanisms needed to defend against malicious actors, including industry competitors and nation states. Incident Response programs will cover preparation and responses necessary to triage incidents and respond quickly to limit damage from malicious actors.
Section O2, SPRG 2026 Mar 10th to Apr 27th
Mukavetz
Independent
ARR
12:00:00 AM–12:00:00 AM
MET CS 684S 4 credits. Summer
This course covers important topics that students need to understand in order to effectively manage a successful cybersecurity and privacy program, including governance, risk management, asset classification and incidence response. Students are first introduced to cybersecurity & privacy policy frameworks, governance, standards, and strategy. Risk tolerance is critical when building a cybersecurity and privacy program that supports business goals and strategies. Risk management fundamentals and assessment processes will be reviewed in depth including the methodology for identifying, quantifying, mitigating and controlling risks. Asset classification and the importance of protecting Intellectual Property (IP) will prepare students to understand and identify protection mechanisms needed to defend against malicious actors, including industry competitors and nation states. Incident Response programs will cover preparation and responses necessary to triage incidents and respond quickly to limit damage from malicious actors.
MET CS 685 4 credits. Fall and Spring
Prerequisites: METCS535 or METCS625 or consent of instructor. This course will cover contemporary integrated network management based on FCAPS (Fault, Configuration, Administration, Performance, and Security management) model. The introduction to the course will be an overview of data transmission techniques and networking technologies. The middle part of the course will be on Network Management Model, SNMP versions 1, 2 and 3, and MIBs. In the second part of the course, particular focus and emphasis will be given to current network management issues: various wireless networks technologies (WLAN, WiFi, WiMax), Voice-over-IP, Peer-to-Peer Networks, networking services, Identity Management, and Services Oriented Architecture Management.
Section O2, SPRG 2026 Mar 10th to Apr 27th
Rizinski
Independent
ARR
12:00:00 AM–12:00:00 AM
MET CS 685S 4 credits. Summer
Undergraduate Prerequisites: (METCS535 OR METCS625) or instructor's consent - Covers computer networks management including configuration, fault, performance, as well as security management. Particular focus and emphasis is given to security management. Problem solving techniques and network management tools are discussed and practiced during extensive laboratory sessions.
MET CS 688 4 credits. Fall and Spring
Prerequisites: MET CS 544, or MET CS 555 or equivalent knowledge, or instructor's consent. - The Web Mining and Graph Analytics course covers the areas of web mining, machine learning fundamentals, text mining, clustering, and graph analytics. This includes learning fundamentals of machine learning algorithms, how to evaluate algorithm performance, feature engineering, content extraction, sentiment analysis, distance metrics, fundamentals of clustering algorithms, how to evaluate clustering performance, and fundamentals of graph analysis algorithms, link analysis and community detection based on graphs. Laboratory Course.
Section A1, SPRG 2026 Jan 20th to Apr 30th
Hajiyani
Independent
M
06:00:00 PM–08:45:00 PM
FLR 123
Section O2, SPRG 2026 Mar 10th to Apr 27th
Rawassizadeh
Independent
ARR
12:00:00 AM–12:00:00 AM
MET CS 690 4 credits. Fall and Spring
Prerequisites: (MET CS 535 or MET CS 625) and (MET CS 595 or MET CY 100) or consent of instructor. This course is designed to provide students with a comprehensive understanding of the fundamental concepts, principles, technologies, and best practices to secure both computer networks and clouds. Topics include an overview of network threats, SSL/TLS, Kerberos, PKI, IPsec, DNSsec, SSH, Firewall, IDS, VPD, electronic mail security, wireless network security, Blockchain, TOR, Cloud architecture, an overview of cloud threats, architecture protection, and data protection in Cloud, IAM, security best practices, etc. Upon the completion of the course, students are expected to know the threats and vulnerabilities that networks and cloud systems face, along with the strategies and tools used to mitigate those risks. Hands-on labs based on existing tools are provided and required.
Section A1, SPRG 2026 Jan 20th to Apr 30th
Zhang
Independent
M
06:00:00 PM–08:45:00 PM
MCS B33
Section O1, SPRG 2026 Jan 13th to Mar 2nd
Zhang
Independent
ARR
12:00:00 AM–12:00:00 AM
MET CS 693 4 credits. Fall and Spring
Provides a comprehensive understanding of digital forensics and investigation tools and techniques. Learn what computer forensics and investigation is as a profession and gain an understanding of the overall investigative process. Operating system architectures and disk structures are discussed. Studies how to set up an investigator's office and laboratory, as well as what computer forensic hardware and software tools are available. Other topics covered include importance of digital evidence controls and how to process crime and incident scenes, details of data acquisition, computer forensic analysis, e-mail investigations, image file recovery, investigative report writing, and expert witness requirements. Provides a range of laboratory and hands-on assignments either in solo or in teams. With rapid growth of computer systems and digital data this area has grown in importance. Prereq: Working knowledge of windows computers, including installing and removing software. Access to a PC meeting the minimum system requirements defined in the course syllabus.
Section E1, SPRG 2026 Jan 20th to Apr 30th
Arena
Independent
S
09:00:00 AM–12:00:00 PM
MET 101
Section O2, SPRG 2026 Mar 10th to Apr 27th
Navarro
Independent
ARR
12:00:00 AM–12:00:00 AM
MET CS 693S 4 credits. Summer
Prereq: working knowledge of Windows computers, including installing and removing software. Must have access to a personal computer that meets the minimum system requirements defined in the course syllabus. eLive offering. Provides a comprehensive understanding of digital forensics and investigation tools and techniques. Students learn what computer forensics and investigation is as a profession and gain an understanding of the overall investigative process. Operating system architectures and disk structures are discussed. Covers how to set up an investigator's office and laboratory, as well as what computer forensic hardware and software tools are available. Other topics include importance of digital evidence controls and how to process crime and incident scenes, details of data acquisition, computer forensic analysis, email investigations, image file recovery, investigative report writing, and expert witness requirements. Includes a range of laboratory and hands-on assignments either solo or in teams.
MET CS 694 4 credits. Fall and Spring
Overview of mobile forensics investigation techniques and tools. Topics include mobile forensics procedures and principles, related legal issues, mobile platform internals, bypassing passcode, rooting or jailbreaking process, logical and physical acquisition, data recovery and analysis, and reporting. Provides in-depth coverage of both iOS and Android platforms. Laboratory and hands-on exercises using current tools are provided and required.
Section A1, SPRG 2026 Jan 20th to Apr 30th
Zhang
Independent
T
06:00:00 PM–08:45:00 PM
STH 113
MET CS 694S 4 credits. Summer
Overview of mobile forensics investigation techniques and tools. Topics include mobile forensics procedures and principles, related legal issues, mobile platform internals, bypassing passcode, rooting or jailbreaking process, logical and physical acquisition, data recovery and analysis, and reporting. Provides in-depth coverage of both iOS and Android platforms. Laboratory and hands-on exercises using current tools are provided and required.
MET CS 699 4 credits. Fall and Spring
Prerequisites: MET CS 521, MET LB 103 and MET LB 104; and either MET CS 579 or MET CS 669; or consent of instructor. - Study basic concepts and techniques of data mining. Topics include data preparation, classification, performance evaluation, association rule mining, regression and clustering. You will learn underlying theories of data mining algorithms in the class and practice those algorithms through assignments and a semester-long class project using R. After finishing this course, you will be able to independently perform data mining tasks to solve real-world problems.
Section A2, SPRG 2026 Jan 20th to Apr 30th
Lee
Independent
W
06:00:00 PM–08:45:00 PM
MCS B33
Section O1, SPRG 2026 Jan 13th to Mar 2nd
Lee
Independent
ARR
12:00:00 AM–12:00:00 AM
MET CS 779 4 credits. Fall and Spring
Graduate Prerequisites: (METCS579 OR METCS669) or consent of the instructor - This course covers advanced aspects of database management including normalization and denormalization, query optimization, distributed databases, data warehousing, and big data. There is extensive coverage and hands on work with SQL, and database instance tuning. Course covers various modern database architectures including relational, key value, object relational and document store models as well as various approaches to scale out, integrate and implement database systems through replication and cloud based instances. Students learn about unstructured "big data" architectures and databases, and gain hands-on experience with Spark and MongoDB. Students complete a term project exploring an advanced database technology of their choice. Prereq: MET CS 579 or MET CS 669; or instructor's consent.
Section A1, SPRG 2026 Jan 20th to Apr 30th
Polnar
Independent
R
06:00:00 PM–08:45:00 PM
CAS 222
Section O1, SPRG 2026 Jan 13th to Mar 2nd
Polnar
Independent
ARR
12:00:00 AM–12:00:00 AM
MET CS 781 4 credits. Fall and Spring
Prerequisites: MET CS 580 or consent of instructor. This course studies health care data and information, health care information systems (HCIS), and explores the challenges of managing information technology (IT). You will learn the architecture, design, and user requirements of information systems in health care, with a focus on IT aspects of Health Informatics, specifically the design, development, operation, and management of HCIS. The first part of the course introduces foundational concepts, including information processing needs and information management in health care environments. Next, you will engage in a detailed examination of HCIS, including hospital process modeling, architecture, quality assessment, and applicable tools. The course concludes by addressing the management of HCIS and related issues, and the extension of these topics to other healthcare organizations. Throughout the course, you will gain hands-on experience by participating in a term project focused on HCIS research and development.
Section O2, SPRG 2026 Mar 10th to Apr 27th
D'Amore
Independent
ARR
12:00:00 AM–12:00:00 AM
MET CS 783 4 credits. Fall and Spring
Graduate Prerequisites: (METCS682) or strategic IT experience or instructor's consent - This course builds upon the strong technical foundation of our MSCIS and MSCS curricula, by providing students with the CIO-level management perspective and skills of an enterprise architect, in the context of the technologies that implement those architectures. Current technologies and processes explored in the enterprise architecture context include blockchain, microservices, multimodal/analytic databases, DevOps, SAFe (Scaled Agile Framework), containers/Docker, and some leverage of AI techniques. We cover both the migration of legacy enterprise systems and de novo enterprise architecture development, vendor selection and management, cybersecurity in the enterprise, and complex system integration. Enterprise architecture decisions are presented in the context of the business goals and alignment that are critical for success, given globalization and the reality that "all companies are now technology companies." The course content is rich with case studies that illustrate practical application of enterprise architecture approaches and lessons learned. The course also includes a number of realistic enterprise architecture assignments and an incremental term project with components spanning the course, to provide students with hands on enterprise architecture experience. Students develop the understanding and skills needed to define and implement successful enterprise architectures that provide real strategic and concrete value to organizations, such as substantially reducing IT costs while improving performance, agility and alignment of information technology to business goals. On-campus classrooms follow a "flipped classroom" format, where significant class time is devoted to in-class group workshops. Prereq: MET CS 682. Or strategic IT experience. Or instructor's consent.
Admissions
Visit the Metropolitan College Graduate application page to learn more and apply.
View BU MET’s academic calendar for online programs, including important dates and deadlines.
Learn about application requirements for BU MET graduate degree and certificate programs.
How You Benefit from a
A BU credential can help lay the foundation for career advancement and personal success.
Enjoy an average 24:1 student-to-faculty ratio in courses that are 100% online, while tackling complex issues alongside peers with solid academic and practical experience. Work closely with highly qualified faculty and seasoned industry leaders in a wide range of technology fields who are committed to teaching the latest technologies within the framework of ideas, concepts, and methods that drive innovation. BU MET’s computer science courses ensure you get the attention you need, while introducing case studies and real-world projects that emphasize technical and theoretical knowledge—combining in-depth, practical experience with the critical skills needed to remain on the forefront of the information technology field. BU MET’s Department of Computer Science was established in 1979 and is the longest-running computer science department at BU. Over its four decades, the department has played an important role in the emergence of IT at the University and throughout the region. All graduate students are automatically considered for merit scholarships during the application process and nominated based on eligibility. Learn more.
Rankings & Accreditations
#12, Best Online Master’s in Computer Information Technology Programs
MET’s computer science & IT graduate certificates share curriculum with MET’s online master’s degrees in computer information technology, which are ranked #12 in the nation by U.S. News & World Report .
Graduate with Web Application Development Expertise
Students who complete the Web Application Development Graduate Certificate will be able to demonstrate:
Advanced knowledge of web application development languages. Proficiency in one or two server-side web language/platform-specific technologies like Java and .NET, and client-side languages like JavaScript. Competence sufficient to apply acquired knowledge in migrating to new and emerging standards and technologies.
“My favorite project was the portfolio website I made. This was a great project because it helped you understand the concepts in class and gave you a project you could showcase and use outside of school.” Read more.
Chantal Barrett (MET’23) Software Engineer, Dell MS, Computer Information Systems;
Advance Your Career
BU MET’s Web Application Development graduate certificate prepares you for a wealth of different roles, such as…
Recent graduates have found job opportunities and career paths at companies such as:
Abacus Business Computer LLC Adobe Blue Cross Blue Shield Association Fidelity Investments Liberty Mutual Insurance
LinkedIn NASA ERC PwC Salesforce
Take Advantage of Career Resources at BU MET
You will find the support you need in reaching your career goals through MET’s Career Development office , which offers a variety of job-hunting resources, including one-on-one career counseling by appointment for online students. You can also take advantage of tools and resources available online through BU’s Center for Career Development .
Computer Science Faculty
Associate Professor, Computer Science
Coordinator, Health Informatics Programs
Chair, Computer Science
Associate Professor
Associate Chair, Computer Science
Coordinator, Web Application Development
Master Lecturer, Computer Science
Coordinator, Computer Networks
View All Faculty
Farshid Alizadeh-Shabdiz
Eric Braude
John Day
Andrew Gorlin
Suresh Kalathur
Vijay Kanabar
Jae Young Lee
Avinash Mohan
Reza Rawassizadeh
Anatoly Temkin
Ming Zhang
Yuting Zhang
Tanya Zlateva
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