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 Web Application Development
4 credits.
Prerequisites: WAD 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, FALL 2025 Sep 2nd to Dec 10th
Sheehan
Independent
R
06:00:00 PM–08:45:00 PM
CAS 324
Section O2, FALL 2025 Oct 28th to Dec 15th
Hur
Independent
ARR
12:00:00 AM–12:00:00 AM
MET CS 602 Server-Side Web Development
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 A1, FALL 2025 Sep 2nd to Dec 10th
Sheehan
Independent
T
06:00:00 PM–08:45:00 PM
HAR 312
MET CS 701 Rich Internet Application Development
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 Foundations of Analytics and Data Visualization
4 credits. Fall and Spring
Formerly titled CS 544 Foundations of Analytics with R. 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. Data populations using discrete, continuous, and multivariate distributions are explored. Errors during measurements and computations are analyzed in the course. Confidence intervals and hypothesis testing topics are also examined. The concepts covered in the course are demonstrated using R. Laboratory Course. Prereq: METCS 546 and (METCS 520 or METCS 521), or equivalent knowledge, or instructor's consent.
Section A1, FALL 2025 Sep 2nd to Dec 10th
Kalathur
Independent
M
06:00:00 PM–08:45:00 PM
CAS 203
Section A2, FALL 2025 Sep 2nd to Dec 10th
Diwania
Independent
T
06:00:00 PM–08:45:00 PM
CAS 233
Section O1, FALL 2025 Sep 2nd to Oct 20th
Kalathur
Independent
ARR
12:00:00 AM–12:00:00 AM
Section O2, FALL 2025 Oct 28th to Dec 15th
Kalathur
Independent
ARR
12:00:00 AM–12:00:00 AM
MET CS 555 Foundations of Machine Learning
4 credits. Fall and Spring
Formerly titled CS 555 Data Analysis and Visualization with R. This course provides an overview of the statistical tools most commonly used to process, analyze, and visualize data. Topics include simple linear regression, multiple regression, logistic regression, analysis of variance, and survival analysis. These topics are explored using the statistical package R, with a focus on understanding how to use and interpret output from this software as well as how to visualize 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. Recommended Prerequisite: METCS 544 or equivalent knowledge, or instructor's consent.
Section A3, FALL 2025 Sep 2nd to Dec 10th
Alizadeh-Shabdiz
Independent
M
02:30:00 PM–05:15:00 PM
MET 122
Section A4, FALL 2025 Sep 2nd to Dec 10th
Alizadeh-Shabdiz
Independent
W
06:00:00 PM–08:45:00 PM
KCB 104
Section O2, FALL 2025 Oct 28th to Dec 15th
Alizadeh-Shabdiz
Independent
ARR
12:00:00 AM–12:00:00 AM
MET CS 570 Biomedical Sciences and Health IT
4 credits. Fall and Spring
This course is designed for IT professionals, and those training to be IT professionals, who are preparing for careers in healthcare-related IT (Health Informatics). This course provides a high-level introduction into basic concepts of biomedicine and familiarizes students with the structure and organization of American healthcare system and the roles played by IT in that system. The course introduces medical terminology, human anatomy and physiology, disease processes, diagnostic modalities, and treatments associated with common disease processes. IT case studies 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 O1, FALL 2025 Sep 2nd to Oct 20th
Keskin
Independent
ARR
12:00:00 AM–12:00:00 AM
MET CS 580 Health Informatics
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 O2, FALL 2025 Oct 28th to Dec 15th
Zhang
Independent
ARR
12:00:00 AM–12:00:00 AM
MET CS 581 Health Information Systems
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 A1, FALL 2025 Sep 2nd to Dec 10th
Levinger
Independent
M
06:00:00 PM–08:45:00 PM
PSY B55
Section E1, FALL 2025 Sep 2nd to Dec 10th
Levinger
Independent
M
06:00:00 PM–08:45:00 PM
PSY B55
MET CS 632 Information Technology Project and Product Management
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 O1, FALL 2025 Sep 2nd to Oct 20th
Kanabar
Independent
ARR
12:00:00 AM–12:00:00 AM
MET CS 632S Information Technology Project and Product Management
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 Software Quality, Testing, and Security Management
4 credits. Fall and Spring
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.
Section A1, FALL 2025 Sep 2nd to Dec 10th
ELENTUKH
Independent
W
06:00:00 PM–08:45:00 PM
MCS B31
Section E1, FALL 2025 Sep 2nd to Dec 10th
ELENTUKH
Independent
W
06:00:00 PM–08:45:00 PM
MCS B31
MET CS 633B SFTW QUAL MGMT
4 credits. Summer
SFTW QUAL MGMT
MET CS 633S Distributed Software Development and Management
4 credits. Summer
Many of today's software systems are developed by geographically distributed teams. The course examines software engineering in this context, from the project and program management perspective. The term project consists of in-process submissions that are thoroughly reviewed, including among peers, together with a working system prototype. No programming background is required. Prereq: MET CS 520 or MET CS 521, and MET CS 682. Or instructor's consent.
MET CS 634 Agile Software Development with Intelligent Systems
4 credits. Fall and Spring
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.
Section A1, FALL 2025 Sep 2nd to Dec 10th
Heda
Independent
M
06:00:00 PM–08:45:00 PM
CAS B06B
Section O2, FALL 2025 Oct 28th to Dec 15th
Arruda
Independent
ARR
12:00:00 AM–12:00:00 AM
MET CS 634S Agile Software Development with Intelligent Systems
4 credits. Summer
A comprehensive overview of the principles, processes, and practices of Agile software development. Students learn techniques for initiating, planning, and executing software development projects using Agile methodologies. Students obtain practical knowledge of Agile development frameworks and distinguish between Agile and traditional project management methodologies. Students 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. Also leverages the guidelines outlined by the Project Management Institute for Agile project development as a framework.
MET CS 674 Database Security
4 credits. Fall and Spring
Graduate Prerequisites: CS 579 or CS 669 or consent of the instructor - The course provides a strong foundation in database security and auditing. This course utilizes Oracle scenarios and step-by-step examples. The following topics are covered: security, profiles, password policies, privileges and roles, Virtual Private Databases, and auditing. The course also covers advanced topics such as SQL injection, database management security issues such as securing the DBMS, enforcing access controls, and related issues. Prereq: MET CS 579 or MET CS 669; or instructor's consent.
Section O1, FALL 2025 Sep 2nd to Oct 20th
Zhang
Independent
ARR
12:00:00 AM–12:00:00 AM
MET CS 683 Mobile Application Development with Android
4 credits. Fall and Spring
Graduate Prerequisites: (METCS342) or instructor's consent. - 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. Prerequisite: MET CS 342 OR MET CS 520 OR MET CS 521. Or instructor's consent.
MET CS 683S Mobile Application Development with Android
4 credits. Summer
Graduate Prerequisites: (METCS342) or instructor's consent. - This course discusses the principles and issues associated with mobile application development using Android as the development platform. Topics covered 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. Prerequisite: MET CS 342 OR MET CS 520 OR MET CS 521. Or instructor's consent.
MET CS 684 Enterprise Cybersecurity Management
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 A1, FALL 2025 Sep 2nd to Dec 10th
Campbell
Independent
W
06:00:00 PM–08:45:00 PM
CDS 263
Section O2, FALL 2025 Oct 28th to Dec 15th
Pak
Independent
ARR
12:00:00 AM–12:00:00 AM
MET CS 684S Enterprise Cybersecurity Management
4 credits. Summer
Enables IT professional leaders to identify emerging security risks and implement security policies to support organizational goals. Discusses methodologies for identifying, quantifying, mitigating and controlling security risks. Students learn to write IT risk management plans, standards, and procedures that identify alternate sites for processing mission-critical applications, and techniques to recover infrastructure, systems, networks, data, and user access. Also discusses disaster recovery; handling information security; protection of property, personnel and facilities; protection of sensitive and classified information; privacy issues; and hostile activities.
MET CS 685 Network Design and Management
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 A1, FALL 2025 Sep 2nd to Dec 10th
Arena
Independent
M
06:00:00 PM–08:45:00 PM
CAS 208
MET CS 685S Network Design and Architecture
4 credits. Summer
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.
MET CS 688 Web Mining and Graph Analytics
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, FALL 2025 Sep 2nd to Dec 10th
Hajiyani
Independent
T
06:00:00 PM–08:45:00 PM
CAS B06A
Section A2, FALL 2025 Sep 2nd to Dec 10th
Vasilkoski
Independent
R
06:00:00 PM–08:45:00 PM
SHA 206
Section O1, FALL 2025 Sep 2nd to Oct 20th
Rawassizadeh
Independent
ARR
12:00:00 AM–12:00:00 AM
MET CS 690 Network and Cloud Security
4 credits. Fall and Spring
Undergraduate Prerequisites: (METCS535 OR METCS625) or instructor's consent. - This course will cover advanced network security issues and solutions. The main focus on the first part of the course will be on Security basics, i.e. security services, access controls, vulnerabilities, threats and risk, network architectures and attacks. In the second part of the course, particular focus and emphasis will be given to network security capabilities and mechanisms (Access Control on wire-line and wireless networks), IPsec, Firewalls, Deep Packet Inspection and Transport security. The final portion of the course will address Network Application security (Email, Ad-hoc, XML/SAML and Services Oriented Architecture security. As part of our course review we will explore a number of Network Use Cases. Prereq: MET CS 535 or MET CS 625; Familiarity with OSI and TCP/IP protocol stack; Background-familiarity with binary numbers, prime numbers, binary- hexadecimal-decimal conversions, etc; Familiarity with computer programming concepts; or instructor's consent.
MET CS 693 Digital Forensics and Investigations
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, FALL 2025 Sep 2nd to Dec 10th
Arena
Independent
S
09:00:00 AM–12:00:00 PM
MET 101
Section O1, FALL 2025 Sep 2nd to Oct 20th
Navarro
Independent
ARR
12:00:00 AM–12:00:00 AM
MET CS 693S Digital Forensics and Investigations
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 Mobile Forensics and Security
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.
MET CS 694S Mobile Forensics
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 695 Cybersecurity
4 credits. Fall and Spring
Undergraduate Prerequisites: (METCS625) or instructor's consent - This course introduces fundamental concepts, principles of cybersecurity and their use in the development of security mechanisms and policies. Topics include basic risk assessment and management; basic legal and ethics issues, various cyber attacks, defense methods and tools; security principles, models and components; different crypto protocols, techniques and tools, including symmetric and asymmetric encryption algorithms, hashing, public key infrastructure, and how they can be used; security threats and defense to hardware, operating systems, networks and applications in modern computing environments. Hands-on labs using current tools are provided and required. Prerequisite: METCS535 or METCS625 or instructor's consent.
MET CS 695B ENTPR INFO SEC
4 credits. Fall, Spring, Summer
Undergraduate Prerequisites: (METCS625) or instructor's consent - ENTPR INFO SEC
MET CS 695S Cybersecurity
4 credits. Summer
Undergraduate Prerequisites: (METCS625) or instructor's consent - Prereq: (MET CS 535 or MET CS 625) or instructor's consent. Provides an in-depth presentation of security issues in computer systems, networks, and applications. Formal security models are presented and illustrated on operating system security aspects, more specifically memory protection, access control and authentication, file system security, backup and recovery management, and intrusion and virus protection mechanisms. Application level security focuses on language level security and various security policies including conventional and public keys encryption, authentication, message digest, and digital signatures. Internet and intranet topics include security in IP, routers, proxy servers, firewalls, application-level gateways, web servers, and file and mail servers. Discusses remote access issues, such as dial-up servers, modems, and VPN gateways and clients.
MET CS 699 Data Mining
4 credits. Fall and Spring
Prerequisites: MET CS 521 & MET CS 546; 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. Students learn underlying theories of data mining algorithms in the class and they practice those algorithms through assignments and a semester-long class project using R. After finishing this course, students will be able to independently perform data mining tasks to solve real-world problems.
Section A1, FALL 2025 Sep 2nd to Dec 10th
Lee
Independent
W
06:00:00 PM–08:45:00 PM
SCI 115
Section O2, FALL 2025 Oct 28th to Dec 15th
Joner
Independent
ARR
12:00:00 AM–12:00:00 AM
MET CS 779 Advanced Database Management
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, FALL 2025 Sep 2nd to Dec 10th
Polnar
Independent
R
06:00:00 PM–08:45:00 PM
CAS 306
MET CS 781 Advanced Health Informatics
4 credits. Fall and Spring
Undergraduate Prerequisites: (METCS570) - This course presents the details of information processing in hospitals, hospital information systems (HIS), and more broadly health information systems. It presents the architecture, design, and user requirements of information systems in health care environment. It focuses on Information Technology aspects of Health Informatics specifically addressing the design, development, operation, and management of HIS. The first part of this course covers the introductory concepts including information processing needs, and information management in health care environment. The second part covers detailed description of HIS including hospital process modeling, architecture, quality assessment, and applicable tools. The final part of the course covers management of HIS and related issues and extension of this topic to other health care organizations. The course will have a term project providing students a hands-on experience in design and research of HIS. Prereq: MET CS 580; or instructor's consent.
Section A1, FALL 2025 Sep 2nd to Dec 10th
D'Amore
Independent
W
06:00:00 PM–08:45:00 PM
CAS 233
Section E1, FALL 2025 Sep 2nd to Dec 10th
D'Amore
Independent
W
06:00:00 PM–08:45:00 PM
CAS 233
MET CS 783 Enterprise Architecture
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
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Learn about application requirements for BU MET graduate degree and certificate programs.
How You Benefit from a Boston University Education
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.
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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;
Concentration, Web Application Development
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
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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
Associate Professor, Computer Science
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Farshid Alizadeh-Shabdiz Professor of the Practice, Computer Science
Scott Arena Master Lecturer, Computer Science
Eric Braude Associate Professor Director of Digital Learning, Computer Science
John Day Master Lecturer, Computer Science
Andrew Gorlin Lecturer, Computer Science
Suresh Kalathur Assistant Professor, Computer Science Director, Analytics
Vijay Kanabar Associate Professor, Computer Science and Administrative Sciences Director, Project Management
Jae Young Lee Assistant Professor, Computer Science Coordinator, Databases
Avinash Mohan Assistant Professor, Computer Science
Anatoly Temkin Assistant Professor Emeritus, Computer Science
Ming Zhang Assistant Professor, Computer Science
Yuting Zhang Assistant Professor, Computer Science Director, Cybersecurity
Tanya Zlateva Dean, Metropolitan College & Extended Education Professor of the Practice, Computer Science and Education Education Director, Information Security, Center for Reliable Information Systems & Cyber Security
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