Computer Information Systems concentration in Computer Networks, Master’s Degree


The MS in Computer Information Systems (MSCIS) concentration in Computer Networks provides a broad foundation in information technology and an in-depth understanding of computer data communication and modern networking. The Computer Networks concentration courses offer a comprehensive understanding of network design and implementation, network performance analysis and management, network security, and the latest networking technology. The program is designed to empower students with extensive knowledge and hands-on experience to analyze, design, procure, manage and implement cutting-edge computer networking solutions and technologies.

Students who complete the MSCIS degree concentration in Computer Networks will be able to demonstrate:

  • Advanced knowledge of data communication protocols and networks; of issues involved in multi-access media, including wired and wireless; performance analysis of networks; and management of large networks.
  • Proficiency in data communication protocols and networks, including error control and flow control, distributed synchronization, error detection and correction, and forwarding and techniques to implement it.
  • Competence sufficient to design, specify, and develop data transfer protocols for specific purposes; design, specify, plan, and define networks of any size; and analyze, evaluate, and select network technologies.

Awards & Accreditations

US News Ranking#3, Best Online Graduate Computer Information Technology Programs (U.S. News & World Report 2016)

 

Why Choose BU’s Computer Networks?

  • In 2016, the MSCIS ranked #3 among the Best Online Graduate Computer Information Technology Programs (U.S. News & World Report).
  • Students benefit from a supportive online network, with courses developed and taught by PhD-level full-time faculty and professionals with hands-on expertise in the industry.
  • Small course sections ensure that students get the attention they need, while case studies and real-world projects ensure that they gain in-depth, practical experience with the latest technologies.

Meet Dr. Suresh Kalathur, one of the faculty members you’ll work with in the Computer Information Systems program.

Career Outlook

Computer and Information Systems Managers

15% increase in jobs through 2024

$131,600 median annual pay in 2015

Computer Network Architects

9% increase in jobs through 2024

$100,240 median annual pay in 2015

Network and Computer Systems Administrators

8% increase in jobs through 2024

$77,810 median annual pay in 2015

Bureau of Labor Statistics, U.S. Department of Labor, Occupational Outlook Handbook, 2016-17 Edition

By 2018, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know-how to use the analysis of big data to make effective decisions.

McKinsey & Company Big data: The Next Frontier for Innovation, Competition, and Productivity, 2011

Best Technology Jobs, 2016 U.S. News & World Report

  • #1 Computer Systems Analyst
  • #2 Software Developer
  • #3 Web Developer
  • #4 IT Manager
  • #5 Information Security Analyst
  • #6 Database Administrator
  • #8 Computer Systems Administrator



Curriculum

The online Master of Science in Computer Information Systems consists of ten courses (40 credits).

Students pursuing the concentration in Computer Networks must complete the following courses:

MSCIS Core Courses

(Five courses/20 credits)

METCS625 Business Data Communication and Networks

This course presents the foundations of data communications and takes a bottom-up approach to computer networks. The course concludes with an overview of basic network security and management concepts. Prereq: MET CS 200, or instructor's consent. This course may not be taken in conjunction with MET CS 425 (undergraduate) or MET CS 535. Only one of these courses can be counted towards degree requirements. [4 credits]

METCS669 Database Design and Implementation for Business

Students learn the latest relational and object-relational tools and techniques for persistent data and object modeling and management. Students gain extensive hands- on experience using Oracle or Microsoft SQL Server as they learn the Structured Query Language (SQL) and design and implement databases. Students design and implement a database system as a term project. Restrictions: Only for MS CIS. This course may not be taken in conjunction with MET CS 469 (undergraduate) or MET CS 579. Only one of these courses can be counted towards degree requirements. [4 credits]

METCS682 Information Systems Analysis and Design

Object-oriented methods of information systems analysis and design for organizations with data- processing needs. System feasibility; requirements analysis; database utilization; Unified Modeling Language; software system architecture, design, and implementation, management; project control; and systems-level testing. [4 credits]

METCS782 IT Strategy and Management

This course describes and compares contemporary and emerging information technology and its management. Students learn how to identify information technologies of strategic value to their organizations and how to manage their implementation. The course highlights the application of I.T. to business needs. CS 782 is at the advanced Masters (700) level, and it assumes that students understand IT systems at the level of CS 682 Systems Analysis and Design. Students who haven't completed CS 682 should contact their instructor to determine if they are adequately prepared. Prereq: MET CS 682, or instructor's consent. [4 credits]

And one of the following*:

METCS520 Information Structures with Java

This course covers the concepts of object-oriented approach to software design and development using the Java programming language. It includes a detailed discussion of programming concepts starting with the fundamentals of data types, control structures methods, classes, applets, arrays and strings, and proceeding to advanced topics such as inheritance and polymorphism, interfaces, creating user interfaces, exceptions, and streams. Upon completion of this course the students will be able to apply software engineering criteria to design and implement Java applications that are secure, robust, and scalable. Prereq: MET CS 200 or MET CS 300 or Instructor's Consent. Not recommended for students without a programming background. [4 credits]

METCS521 Information Structures with Python

This course covers the concepts of the object-oriented approach to software design and development using the Python programming language. It includes a detailed discussion of programming concepts starting with the fundamentals of data types, control structures methods, classes, arrays and strings, and proceeding to advanced topics such as inheritance and polymorphism, creating user interfaces, exceptions and streams. Upon completion of this course students will be capable of applying software engineering principles to design and implement Python applications that can be used in conjunction with analytics and big data. Prerequisite: MET CS 200 Fundamentals of Information Technology or MET CS 300 Foundations of Modern Computing or instructor's Consent. Not recommended for students without a programming background. [4 credits]

*If a student chooses to take both MET CS 520 and MET CS 521, the first course completed will fulfill the core requirement and the second course completed will count as an elective.

Students who have completed courses on core curriculum subjects as part of their undergraduate degree program or have relevant work-related experience may request permission from the Department of Computer Science to replace the corresponding core courses with graduate-level computer information systems electives. Please refer to the MET CS Academic Policies Manual for further details.

Concentration Requirements

(Five courses/20 credits)

METCS546 Quantitative Methods for Information Systems

The goal of this course is to provide Computer Information Systems students with the mathematical fundamentals required for successful quantitative analysis of problems in the field of business computing. The first part of the course introduces the mathematical prerequisites for understanding probability and statistics. Topics include combinatorial mathematics, functions, and the fundamentals of differentiation and integration. The second part of the course concentrates on the study of elementary probability theory, discrete and continuous distributions. Prereq: Academic background that includes the material covered in a standard course on college algebra or instructor's consent. [4 credits]

METCS685 Network Design and Management

. 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. Prereq: MET CS 535 or MET CS 625. or instructor's consent. [4 credits]

METCS690 Network Security

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. [4 credits]

METCS695 Enterprise Information Security

The course 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, intrusion and virus protection mechanisms. Application level security focuses on language level security and various security policies; conventional and public keys encryption, authentication, message digest and digital signatures. Internet and intranet topics include security in IP, routers, proxy servers, and firewalls, application- level gateways, Web servers, file and mail servers. Discussion of remote access issues, such as dial-up servers, modems, VPN gateways and clients. Prereq: MET CS 625; or instructor's consent. [4 credits]

And one course selected from the following:

METCS544 Foundations of Analytics

The goal of this course is to provide students with the mathematical and practical background required in the field of data analytics. Starting with an introduction to probability and statistics, the R tool is introduced 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: MET CS 546 or equivalent knowledge, or instructor's consent. [4 credits]

METCS555 Data Analysis and Visualization

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: MET CS 544 or equivalent knowledge, or instructor's consent. [4 credits]

METCS570 Biomedical Sciences and Health IT

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. [4 credits]

METCS580 Health Informatics

This course presents the technological fundamentals and integrated clinical applications of modern Biomedical IT. The first part of the course covers the technological fundamentals and the scientific concepts behind modern medical technologies, such as digital radiography, CT, nuclear medicine, ultrasound imaging, etc. It also presents various medical data and patient records, and focuses on various techniques for processing medical images. This part also covers medical computer networks and systems and data security and protection. The second part of the course focuses on actual medical applications that are used in health care and biomedical research. [4 credits]

METCS581 Electronic Health Records

Electronic Health Records (EHRs) are application systems that automate the activities of healthcare clinicians including physicians, nurses, physician assistants, and healthcare administrative staff. Use of EHRs is increasing rapidly due to the systems' benefits and federal government programs to deploy EHRs. This increased use of EHRs has many challenges including complex data, high security requirements, integration to multiple application systems, a distributed user base, and broad impact on how these users work. [4 credits]

METCS632 Information Technology Project Management

This course provides students with a comprehensive overview of the principles, processes, and practices of software project management. Students learn techniques for planning, organizing, scheduling, and controlling software projects. There is substantial focus on software cost estimation and software risk management. Students will obtain practical project management skills and competencies related to the definition of a software project, establishment of project communications, managing project changes, and managing distributed software teams and projects. [4 credits]

METCS633 Software Quality, Testing, and Security Management

Theory and practice of security and quality assurance and testing for each step of the software development cycle. Verification vs. validation. Test case design techniques, test coverage criteria, security development and verification practices, and tools for static and dynamic analysis. Standards. Test-driven development. QA for maintenance and legacy applications. From a project management knowledge perspective, this course covers the methods, tools and techniques associated with the following processes -- Plan Quality, Perform Quality Assurance, and Perform Quality Control. Prereq: MET CS 520 or 521. Or instructor's consent. [4 credits]

METCS634 Agile Software Development

This course provides students with a comprehensive overview of the principles, processes, and practices of agile software development. Students learn techniques for initiating, planning and executing on software development projects using agile methodologies. Students will obtain practical knowledge of agile development frameworks and be able to distinguish between agile and traditional project management methodologies. Students will learn how to apply agile tools and techniques in the software development lifecycle from project ideation to deployment, including establishing an agile team environment, roles and responsibilities, communication and reporting methods, and embracing change. We also leverage the guidelines outlined by the Project Management Institute for agile project development as a framework in this course. [4 credits]

METCS674 Database Security

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. [4 credits]

METCS683 Mobile Application Development

This course will be divided into two parts. The first part, two thirds of the course, covers the principles and problems associated with mobile device applications, using as examples Google Android, iPhone, and other platforms such as Nokia. The last third is an in depth coverage of the open source Android development platform. Issues covered will include Mobile Hardware and Cell Networks, Architectures, Operating Systems, Languages, Development Environments and Simulators, User Interfaces, Location-based Services, Storing and Retrieving Data. Students will accomplish the following. (1) Learn the unique set of problems and challenges in developing mobile applications compared with desktop applications; (2) Learn the platform, tools, technology and process for developing mobile applications using Google Android and the Apple iPhone platforms as the main examples; (3) Write applications for the platforms covered, simulate them, and test them on the mobile hardware where possible; and (4) Work collaboratively with fellow students on their projects. Prereq: MET CS 342 OR MET CS 520. Or instructor's consent. [4 credits]

METCS684 IT Security Policies and Procedures

This course enables IT professional leaders to identify emerging security risks and implement highly secure networks to support organizational goals. Discussion of methodologies for identifying, quantifying, mitigating and controlling risks. Students implement a comprehensive IT risk management plans (RMP) that identify alternate sites for processing mission-critical applications, and techniques to recover infrastructure, systems, networks, data and user access. The course also discusses related topics such as: disaster recovery, handling information security; protection of property, personnel and facilities; protection of sensitive and classified information, privacy issues, and criminal terrorist and hostile activities. [4 credits]

METCS688 Web Analytics and Mining

The Web Analytics and Mining course covers the areas of web analytics, text mining, web mining, and practical application domains. The web analytics part of the course studies the metrics of web sites, their content, user behavior, and reporting. Google analytics tool is used for collection of web site data and doing the analysis. The text mining module covers the analysis of text including content extraction, string matching, clustering, classification, and recommendation systems. The web mining module studies how web crawlers process and index the content of web sites, how search works, and how results are ranked. Application areas mining the social web and game metrics will be extensively investigated. Laboratory Course. Prerequisites: MET CS 544, or MET CS 555 or equivalent knowledge, or instructor's consent. [4 credits]

METCS693 Digital Forensics and Investigations

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. [4 credits]

METCS694 Mobile Forensics

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. [4 credits]

METCS699 Data Mining

Data mining and investigation is a key goal behind any data warehouse effort. The course provides an introduction to concepts behind data mining, text mining, and web mining. Algorithms will be tested on data sets using the Weka Data mining software and Microsoft SQL Server 2005 (Business Intelligence Development Studio). Prereq: MS CS Prerequisites: MET CS 579; or instructor's consent. MS CIS Prerequisites: MET CS 669 and MET CS 546; or instructor's consent. [4 credits]

METCS701 Rich Internet Application Development

The Rich Internet Application (RIA) Development course concentrates primarily on building rich client web applications in the browser for desktop and mobile devices. The course is divided into various modules covering in depth the following technologies: HTML5, jQuery UI & Mobile, and AngularJS. 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. (MET CS 520 or MET CS 521) and MET CS 601. Or instructor's consent. [4 credits]

METCS779 Advanced Database Management

This course covers advanced aspects of database management systems including advanced normalization and denormalization, query optimization, object-oriented and object-relational databases, data warehousing, data mining, distributed databases, XML, XSL, and databases for web applications. There is extensive coverage of SQL and database instance tuning. Students learn about the advanced object- relational features in DBMS such as Oracle, including navigational query, BLOBs, abstract data types, and methods. Prereq: MET CS 579 or MET CS 669; or instructor's consent. [4 credits]

METCS781 Advanced Health Informatics

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. [4 credits]

METCS783 Enterprise Architecture

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. Our Ross, Weil, and Robertson text provides much of the management content of the course, and the online and classroom content provide both management and technical skills. Students learn that enterprise architectures are best developed incrementally, by system development projects that are aligned with strategic goals and the enterprise architecture. The online content therefore includes many real enterprise system development case studies, showing how these enterprise systems contributed to and helped define the overall enterprise architecture. 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. The course provides students with the understanding and skills needed to define and implement successful enterprise architectures that provide real value to organizations, such as substantially reducing IT costs while improving performance, agility and alignment of information technology to business goals. Prereq: MET CS 682. Or strategic IT experience. Or instructor's consent. 4 credits. [4 credits]

Applicants to the program are required to have a bachelor’s degree from a regionally accredited institution and proficiency equivalent to the following areas:

METCS200 Fundamentals of Information Technology

This course is a technically-oriented introductory survey of information technology. Students learn about basic computer information, different types of business systems and basic systems analysis, design and development. Students also study basic mathematics, software development and create simple Java programs. [4 credits]

If college-level credit courses are not in evidence, the department will determine what prerequisite courses must be completed in addition to graduate degree requirements. Students claiming equivalent proficiency in the prerequisite courses from non-academic sources must take an examination to demonstrate such proficiency.

Faculty

Dr. Eric Braude

Eric Braude

Associate Professor of Computer Science
PhD, Columbia University; MS, University of Miami; MS, University of Illinois; BS, University of Natal (South Africa) 

Areas of Specialization: Software Engineering with Object-Oriented Methods; Software Design

Dr. Lou Chitkushev

Lou Chitkushev

Associate Dean for Academic Affairs and Associate Professor of Computer Science; Director of Health Informatics and Health Sciences Programs
PhD, Boston University; MS, Medical College of Virginia; MS, BS, University of Belgrade 

Areas of Specialization: Network Performance Analysis and Optimization; Network Security; Self-Similar Traffic Modeling; Telemedicine; Medical Applications of Computer Networks; Biomedical Informatics; Security and Privacy of Biomedical Data

John Day

John Day

Lecturer in Computer Science
MSEE, BSEE, University of Illinois

Areas of Specialization: Network Management Architecture; Computer Networks; Upper-Layer Protocols

Stu Jacobs

Stu Jacobs

Lecturer in Computer Science

MS, Southern Connecticut State University; BS, University of Wisconsin, Madison

Areas of Specialization: Security Architectures for Wireless and Wired Networks; SS7; CALEA/LI; Vulnerability Analysis; Intrusion Detection and Systems Engineering Methodologies; Network Design and Security

Dr. Suresh Kalathur

Suresh Kalathur

Assistant Professor of Computer Science; Director of Analytics Programs
PhD, Brandeis University; MS, Indian Institute of Technology; BS, Regional Engineering College (Warangal, India) 

Areas of Specialization: Programming Languages; Compilers; Constraint Programming; Object-Oriented Programming; Parallel and Distributed Computing; Multi-Agent Systems

Dr. Vijay Kanabar

Vijay Kanabar, PMP

Associate Professor of Computer Science; Director of Project Management Programs
PhD, University of Manitoba (Canada); MS, Florida Institute of Technology; MBA, Webber College; BS, University of Madras (India) 

Areas of Specialization: Database Systems; Client-Server Systems; IT Project Management

Dr. Jae Young Lee

Jae Young Lee

Assistant Professor of Computer Science
PhD, MS, University of Texas at Arlington; BS, Seoul National University (Korea)

Areas of Specialization: Conceptual Modeling and Query Languages; Association Rule Mining; Activity Mining; Sequence Data Mining

Dr. Robert Schudy

Robert Schudy

Associate Professor of Computer Science
PhD, MS, University of Rochester; BA, University of California San Diego

Areas of Specialization: Java; Big Data Analytics; Internet-Based Application Development; Database Management; Artificial Intelligence; Autonomous Systems; Aiding Systems 

Dr. Victor Shtern

Victor Shtern

Associate Professor Emeritus of Computer Science
PhD, Leningrad Aluminum Institute (Russia); MS, Leningrad Institute of Technology; MBA, Boston University 

Areas of Specialization: Programming Languages; Object-Oriented Methods of Software Construction; Software Testing; Computer Simulation

Dr. Anatoly Temkin

Anatoly Temkin

Assistant Professor and Chair of Computer Science
PhD, Kazan University (Russia); MS, Moscow University 

Areas of Specialization: Pattern Recognition; Cryptography

Dr. Guanglan Zhang

Guanglan Zhang

Assistant Professor of Computer Science; Faculty Coordinator for Health Informatics Programs
PhD, MEng, Nanyang Technological University, Singapore; BS, Luoyang Institute of Technology

Areas of Specialization: Bioinformatics; Health Informatics; Predictive Analytics

Dr. Yuting Zhang

Yuting Zhang

Assistant Professor of Computer Science
PhD, Boston University; MS, BS University of Science and Technology Beijing

Areas of Specialization: Operating Systems and Networking; Scheduling in Multimedia and Embedded Real-Time Systems; Resource Management in Virtual Execution Environments and Network Security

Dr. Tanya Zlateva

Tanya Zlateva

Dean of Metropolitan College and Professor of the Practice of Computer Science and Education; Director of Security Programs
PhD, Dresden University of Technology (Germany); MS, Dresden University of Technology; BS, Dresden University of Technology 

Areas of Specialization: Computational Modeling of Visual Perception; Pattern Recognition; Three-Dimensional Representations of Object Shape; Parallel and Distributed Processing

Getting Started

To learn more or to contact an enrollment advisor before you get started, request information using the button below and tell us a little about yourself. Someone will be in touch to answer any questions you may have about the program and detail the next steps in earning your degree. You can also start your application or register for a course at Metropolitan College.