Master Front-End and Back-End Technologies for Modern Web Development
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. The latest topics in JavaScript, CSS, HTML5, jQuery, AngularJS, PHP, and Node.js are widely covered. Students also learn, and work with, cutting-edge technologies for building desktop and mobile web applications, such as Ruby on Rails, AJAX, Flex, and Google Web Toolkit (GWT). Students create real-world web application projects that also involve interacting with databases such as Oracle, MySQL, and NoSQL databases like MongoDB.
The Graduate Certificate in Web Application Development is also available on campus in Boston. Learn more .
Curriculum
The online Graduate Certificate in Web Application Development consists of four required courses (16 units).
Certificate Courses
(Four courses/16 units)
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.
And one course selected from the following (some courses may not be available in the online format):
MET CS 526 4 credits. Fall and Spring
Prerequisites: MET CS300 and either MET CS520 or MET CS521, or consent of instructor. 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.
Section O1, SPRG 2026 Jan 13th to Mar 2nd
Braude
Independent
ARR
12:00:00 AM–12:00:00 AM
Section O2, SPRG 2026 Mar 10th to Apr 27th
Zhang
Independent
ARR
12:00:00 AM–12:00:00 AM
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 561 4 credits. Fall and Spring
This course presents an overview of modern investment topics. We will start with a survey of the financial markets and the common quantitative technique to value a range of financial instruments. Once the basic blocks of valuation tools are established, the course will discuss the portfolio construction process and risk management with derivative and time series analysis. The course will use Python Jupyter Notebook to illustrate the concept and build visualization for effective communication. By completing the course, students will be able to conduct exploratory data analysis independently and leverage their programming skillset with real-world financial case studies.
Section A1, SPRG 2026 Jan 20th to Apr 30th
Page
Independent
T
06:00:00 PM–08:45:00 PM
STH B19
Section N4, SPRG 2026 Jan 20th to Apr 30th
O'Gorman
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 577 4 credits.
Prerequisite: (MET CS 521) or equivalent or instructor's consent. 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.
Section A1, SPRG 2026 Jan 20th to Apr 30th
Pinsky
Independent
W
06:00:00 PM–08:45:00 PM
CAS 313
Section A2, SPRG 2026 Jan 20th to Apr 30th
Pinsky
Independent
T
06:00:00 PM–08:45:00 PM
HAR 210
Section O2, SPRG 2026 Mar 10th to Apr 27th
Mohan
Independent
ARR
12:00:00 AM–12:00:00 AM
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 582 4 credits. Fall and Spring
The course introduces basic business concepts in biomedical, biotech, and health information technology entrepreneurship. It provides hands-on experience in creating, proposing, and justifying a business model for a healthcare or a biotech startup. Foundational study and research of entrepreneurship, business models, international healthcare systems, and innovation compose the first three modules of the course. For the final two modules, students work in teams to propose founder roles, business ideas, and analysis leading to a business plan. After providing market needs and competitive analysis of proposals, they visualize and assess overall business models, including strengths, weaknesses, opportunities, and threats analysis. Finally, they present their business models, including the empathy map and the canvas blocks, defending their business proposal.
Section A1, SPRG 2026 Jan 20th to Apr 30th
D'Amore
Independent
M
02:30:00 PM–05:15:00 PM
MET 122
MET CS 584 4 credits. Fall and Spring
Laws, regulations, and ethics guide the practice of health information management (HIM) and health informatics (HI). This course introduces students to the workings of the American legal system and concepts and theories of ethics, examines the legal, ethical, and regulatory issues that impact the protection of confidentiality and integrity of patient information, and, on the other hand, the improvement of accessibility of patient information to enable healthcare providers to make informed decision based on complete patient data. We will cover laws and regulations that are central to the HIM and HI professions, including Privacy Act of 1974, the Health Insurance Portability and Accountability Act (HIPAA), the Genetic Information Nondiscrimination Act of 2008 (GINA), the Health Information Technology for Economic and Clinical Health (HITECH) Act, the Food and Drug Administration Safety and Innovation Act (FDASIA), the 21st Century Cures Act, and the Confidentiality of Alcohol and Drug Abuse Patient Records Regulations, and more. The goal is to enable HIM and HI practitioners to make effective and informed decisions that prompt patient safety and care quality improvement.
Section A1, SPRG 2026 Jan 20th to Apr 30th
Cannella
Independent
R
06:00:00 PM–08:45:00 PM
CAS 218
MET CS 595 4 credits. Fall and Spring
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.
Section A1, SPRG 2026 Jan 20th to Apr 30th
Arena
Independent
W
06:00:00 PM–08:45:00 PM
MET 122
Section O1, SPRG 2026 Jan 13th to Mar 2nd
Zhang
Independent
ARR
12:00:00 AM–12:00:00 AM
MET CS 599 4 credits. Fall and Spring
In this course we will study the fundamental and design applications of various biometric systems based on fingerprints, voice, face, hand geometry, palm print, iris, retina, and other modalities. Multimodal biometric systems that use two or more of the above characteristics will be discussed. Biometric system performance and issues related to the security and privacy aspects of these systems will also be addressed.
Section A1, SPRG 2026 Jan 20th to Apr 30th
Djordjevic
Independent
W
06:00:00 PM–08:45:00 PM
KCB 104
MET CS 622 4 credits. Fall and Spring
BU Hub Learn More Creativity/Innovation Critical Thinking Quantitative Reasoning II
Prerequisites: (MET CS 342 or equivalent knowledge of Java) or (MET CS 521 and MET CS 526) or consent of instructor. Polymorphism, containers, libraries, method specifications, large-scale code management, use of exceptions, concurrent programming, functional programming, programming tests. Java is used to illustrate these concepts. Students implement a project or projects of their own choosing, in Java, since some concepts are expressible only in Java. Effective Fall 2020, this course fulfills a single unit in each of the following BU Hub areas: Quantitative Reasoning II, Creativity/Innovation, Critical Thinking.
Section A1, SPRG 2026 Jan 20th to Apr 30th
Rawassizadeh
Independent
W
06:00:00 PM–08:45:00 PM
CAS 214
Section O1, SPRG 2026 Jan 13th to Mar 2nd
Rawassizadeh
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 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 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 635 4 credits. Fall and Spring
Graduate Prerequisites: (METCS231 & METCS232 & METTC535) CS 231 or CS 232 and TC 535 or consent of the instructor. - The purpose of this course is to provide students with a deeper understanding of Media-specific Technologies not only so that they will be able to use the ones covered in this course, but more importantly be able to analyze and evaluate new technologies. This course applies the principles from CS 535 to understand the engineering that lead to them as well as the special problems that confront network technologies that operate directly over the physical media. These Media specific layers have three problems to solve: the usual one of multiple users of a common resource, accommodating the particular characteristics of the media, and providing (to the degree possible) a media- independent service to the layers above. While CS 535 provides a high-level view of some of these technologies, in this course, they are considered in much greater detail as to how these technologies address their requirements and take advantage of the assumptions made. The emphasis is on those technologies that are either representative of a type or take a unique perspective on the problem. Hence, the traditional data link protocols, such as HDLC, modern Ethernet (primarily VLANs), WiFi (802.11) represent the first type, while media technologies, such as DOCSIS, RFIDs, IoT, and cellular mobile networks are representative of the second. The course will consider how these technologies solve mobility, routing, congestion, QoS (multi-media), security, etc. A major project is part of this course. Prereq: MET CS 231 or MET CS 232 and either MET CS 625 or MET CS 535; or instructor's consent.
MET CS 664 4 credits.
Prerequisites: MET CS 248 and MET CS 342. - Study of the ideas and techniques that enable computers to behave intelligently. Search, constraint propagations, and reasoning. Knowledge representation, natural language, learning, question answering, inference, visual perception, and/or problem solving. Laboratory course.
Section A1, SPRG 2026 Jan 20th to Apr 30th
Kalathur
Independent
M
06:00:00 PM–08:45:00 PM
MET 101
Section O1, SPRG 2026 Jan 13th to Mar 2nd
Mansur
Independent
ARR
12:00:00 AM–12:00:00 AM
MET CS 665 4 credits. Fall and Spring
Prerequisites: METCS342 and METCS565 or consent of instructor - Software design principles, the object-oriented paradigm, unified modeling language; creational, structural, and behavioral design patterns; OO analysis and design; software architectures and frameworks; code refactoring. Laboratory course.
Section A1, SPRG 2026 Jan 20th to Apr 30th
Orsini
Independent
R
06:00:00 PM–08:45:00 PM
FLR 123
Section O2, SPRG 2026 Mar 10th to Apr 27th
Kalathur
Independent
ARR
12:00:00 AM–12:00:00 AM
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 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 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 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 689 4 credits. Fall and Spring
Prerequisites: CS 579 or CS 669 or consent of the instructor - This course surveys state-of-the art technologies in DW and Big Data. It describes logical, physical and semantic foundation of modern DW infrastructure. Students will create a cube using OLAP and implement decision support benchmarks on Hadoop/Spark vs Vertica database. Upon successful completion, students will be familiar with tradeoffs in DW design and architecture.
Section O2, SPRG 2026 Mar 10th to Apr 27th
Polnar
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 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 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 763 4 credits. Fall and Spring
Prerequisites: MET CS 248 or consent of instructor - Overview of techniques and tools to develop secure software. Focus on the application of 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.
MET CS 775 4 credits. Fall and Spring
Prerequisites: MET CS 535 or consent of instructor - This seminar course provides a strong foundation in networking and Internet architecture, data transfer protocols, including TCP, SCTP, QUIC, and IPv6, and a deep look at network resource allocation with an emphasis on protocol- independent hardware for Deep Packet Inspection (DPI) and congestion management. The course goes into greater depth of current topics such as: naming and addressing, synchronization, congestion management and resource allocation (routing) and how they manifest in different environments. There will be assigned readings from the professor that require considerable class participation, both in presenting material and discussing it.
Section A1, SPRG 2026 Jan 20th to Apr 30th
Day
Independent
R
12:30:00 PM–03:15:00 PM
MET 122
Section E1, SPRG 2026 Jan 20th to Apr 30th
Day
Independent
R
12:30:00 PM–03:15:00 PM
MET 122
MET CS 777 4 credits. Fall and Spring
Prerequisite: (MET CS 521 & MET CS 544 & MET CS 555) or MET CS 577 or consent of instructor. An introduction to large-scale data analytics, focusing on both the foundational concepts and practical tools used in the field. Big Data analytics involves extracting meaningful, non-trivial insights from vast and complex datasets. You will explore key software tools and programming techniques commonly used by data scientists working with distributed systems. You will also learn core technologies for storing and processing large volumes of data, with a particular emphasis on cluster computing frameworks that follow the MapReduce paradigm, including Hadoop MapReduce and Apache Spark. Through hands-on assignments and projects, you will gain practical experience by implementing data processing algorithms and running them on real-world cloud platforms such as Amazon Web Services (AWS) and Google Cloud, utilizing educational credits and accounts provided for the course.
Section A1, SPRG 2026 Jan 20th to Apr 30th
Alizadeh-Shabdiz
Independent
M
06:00:00 PM–08:45:00 PM
MCS B31
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 789 4 credits. Fall and Spring
Prerequisites: (MET CS 248 & MET CS 566) or consent of instructor - The course covers the main concepts and principles of cryptography, with the main emphasis on public key cryptography. It begins with the review of integers and a thorough coverage of the fundamentals of finite group theory, followed by the RSA and ElGamal ciphers. Primitive roots in cyclic groups and the discrete log problem are discussed. Baby-step Giant-step and the Index Calculus probabilistic algorithms to compute discrete logs in cyclic groups are presented. Naor -- Reingold and Blum -- Blum -- Shub Random Number Generators as well as Fermat, Euler and Miller-Rabin primality tests are thoroughly covered. Pollard's Rho, Pollard's and Quadratic Sieve factorization algorithms are presented. The course ends with the coverage of some oblivious transfer protocols and zero-knowledge proofs. There are numerous programming assignments in the course.
MET CS 793 4 credits. Fall and Spring
The course changes from semester to semester. More than one special topics course can be offered in a given semester. Course descriptions for all sections are listed below. For more information, please contact MET Department of Computer Science.
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.
Benefit from an average 24:1 student-to-instructor ratio. 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 Expertise
Students who complete the Graduate Certificate in Web Application Development 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 web application developer, senior web developer, lead web designer, web software developer, web graphic designer, java software developer, software application developer, principal software engineer, and many others.
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
Professor of the Practice, Computer Science
Master Lecturer, Computer Science
Coordinator, Computer Networks
View All Faculty
Eric Braude
Lou Chitkushev
John Day
Andrew Gorlin
Suresh Kalathur
Vijay Kanabar
Jae Young Lee
Avinash Mohan
Eugene Pinsky
Reza Rawassizadeh
Maryan Rizinski
Anatoly Temkin
Ming Zhang
Yuting Zhang
Tanya Zlateva
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