Master of Science in Computer Information Systems

The Master of Science (MS) in Computer Information Systems program is designed for students who wish to combine technical competence in information systems with knowledge of managerial and organizational issues.

Students who complete the master’s degree in Computer Information Systems will be able to demonstrate:

  • Advanced knowledge in the analysis and documentation of requirements for architecture, design, and implementation of computer applications systems.
  • Proficiency in software and computing skills as they pertain to the design and implementation of database systems, data communications, systems analysis, and design.
  • Competence sufficient to identify current and emerging information technologies that may have strategic value for enterprise; assess where those technologies have value; and manage the implementation of those technologies in the enterprise.

CNSS AccreditationThe National Security Agency and Department of Homeland Security designates Boston University as a National Center of Academic Excellence in Information Assurance Education and Research.

PMI Global Accreditation Center for Project ManagementThe Master of Science in Computer Information Systems has been accredited by the Project Management Institute Global Accreditation Center for Project Management Education Programs (GAC).

Concentrations

Students may choose to pursue one of the following concentrations:

Program Options

Available on campus and in the following formats:

  • Online
  • Blended: By combining the convenience of online study and the dynamic of face-to-face learning, the blended format provides added flexibility and new avenues of opportunity for those with demanding schedules.

Appreciating the converging nature of management skills and technology, the Computer Science department has a special relationship with Metropolitan College’s Administrative Sciences and Actuarial Science departments. Degree candidates in either program may apply 8 credits from one degree toward a second degree in one of these disciplines, thereby reducing their work by two courses. Students must be accepted by both departments, but they may request that application materials such as references and transcripts be forwarded from the first program to the second.

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

Official transcripts of previous academic work, three letters of recommendation, a personal statement, and a résumé are required as part of the application.

A maximum of two graduate-level courses (8 credits) taken at Metropolitan College before acceptance into the program may be applied toward the degree.

Apply here.

Academic Standing

A minimum passing grade for a course in the graduate program is a C (2.0) but an average grade of B (3.0) must be maintained to be in good academic standing and to be eligible to graduate.

Prerequisites

Applicants to the program are required to have a bachelor’s degree and proficiency in the following areas:

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 cr. ]

Fall 2016
Section Type Instructor Location Days Times
B1 IND Shahossini KCB 102 T 6:00 pm – 9:00 pm
O1 IND Bragg ARR
Spring 2017
Section Type Instructor Location Days Times
B1 IND Shahossini CAS 201 T 6:00 pm – 8:45 pm
O1 IND Bragg ARR

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.

A maximum of two graduate-level courses (eight credits) taken at Metropolitan College before acceptance into the program may be applied toward the degree.

Students are required to complete the core curriculum courses and have the option to complete one or more concentration(s) or no concentration. Students who want to earn one or more concentration(s) must satisfy the stated requirements of each concentration they wish to pursue. Students who choose not to pursue a concentration will take MET CS 546 Quantitative Methods for Information Systems and four general electives to complete their degree.

Core Curriculum

(Five courses/20 credits)

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 cr. ]

Fall 2016
Section Type Instructor Location Days Times
B1 IND Arena PHO 211 T 6:00 pm – 9:00 pm
E1 IND Arena PHO 211 T 6:00 pm – 9:00 pm
O1 IND Mansur ARR
O2 IND Rizinski ARR
Spring 2017
Section Type Instructor Location Days Times
B1 IND Arena FLR 109 T 6:00 pm – 8:45 pm
E1 IND Arena FLR 109 T 6:00 pm – 8:45 pm
O1 IND Mansur ARR
O2 IND Rizinski ARR
O3 IND Mansur ARR

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 cr. ]

Fall 2016
Section Type Instructor Location Days Times
C1 IND Maiewski FLR 109 W 6:00 pm – 9:00 pm
E1 IND Matthews CGS 313 W 6:00 pm – 9:00 pm
O1 IND Mansur ARR
O2 IND Farr ARR
Spring 2017
Section Type Instructor Location Days Times
C1 IND Maiewski FLR 109 W 6:00 pm – 8:45 pm
C2 IND Wolfe CAS B06B W 6:00 pm – 8:45 pm
E1 IND Maiewski FLR 109 W 6:00 pm – 8:45 pm
O1 IND Wolfe ARR
O2 IND Farr ARR

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 cr. ]

Fall 2016
Section Type Instructor Location Days Times
D1 IND Guadagno CGS 527 R 6:00 pm – 9:00 pm
E1 IND Guadagno CGS 527 R 6:00 pm – 9:00 pm
O1 IND Braude ARR
O2 IND Polnar ARR
BCL IND Siegel U 8:00 am – 3:30 pm
Spring 2017
Section Type Instructor Location Days Times
D1 IND Guadagno FLR 267 R 6:00 pm – 8:45 pm
E1 IND Guadagno FLR 267 R 6:00 pm – 8:45 pm
O1 IND Polnar ARR
O2 IND Staff ARR

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 cr. ]

Fall 2016
Section Type Instructor Location Days Times
D1 IND Arakelian FLR 267 R 6:00 pm – 9:00 pm
E1 IND Arakelian FLR 267 R 6:00 pm – 9:00 pm
O1 IND Williams ARR
O2 IND Arakelian ARR
BCL IND Siegel S 8:30 am – 4:00 pm
Spring 2017
Section Type Instructor Location Days Times
A1 IND Arakelian FLR 267 M 6:00 pm – 8:45 pm
E1 IND Arakelian FLR 267 M 6:00 pm – 8:45 pm
O1 IND Williams ARR
O2 IND Arakelian ARR

And one of the following*:

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 cr. ]

Fall 2016
Section Type Instructor Location Days Times
A1 IND Donald FLR 109 M 6:00 pm – 9:00 pm
E1 IND Donald FLR 109 M 6:00 pm – 9:00 pm
O1 IND Guardino ARR
Spring 2017
Section Type Instructor Location Days Times
B1 IND Donald CAS B27 T 6:00 pm – 8:45 pm
O1 IND Kalathur ARR
BHA IND Nourai T 6:00 pm – 8:45 pm

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 cr. ]

Fall 2016
Section Type Instructor Location Days Times
C1 IND Lu KCB 102 W 6:00 pm – 9:00 pm
O1 IND Kohn ARR
Spring 2017
Section Type Instructor Location Days Times
C1 IND Lu HAR 324 W 6:00 pm – 8:45 pm
C2 IND Aleksandrov SAR 104 W 6:00 pm – 8:45 pm
E1 IND Lu HAR 324 W 6:00 pm – 8:45 pm
O1 IND Ultrino ARR
O2 IND Ultrino ARR

*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 must replace the corresponding core courses with electives. It is recommended that each replacement course be in the same technical area as the original core course. Students who have work-related experience in any of the core curriculum courses may apply for a waiver by submitting appropriate documentation. When a course waiver is granted, the student must substitute a graduate-level elective for the core course.

Required Courses

(One course/4 credits)

Students who are not pursuing a concentration must take MET CS 546 Quantitative Methods for Information Systems in addition to the core curriculum and general electives.

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 cr. ]

Fall 2016
Section Type Instructor Location Days Times
A1 IND Gorlin CAS B36 M 6:00 pm – 9:00 pm
E1 IND Gorlin CAS B36 M 6:00 pm – 9:00 pm
O1 IND Temkin ARR
O2 IND Milton ARR
BHA IND Gorlin W 6:00 pm – 9:00 pm
Spring 2017
Section Type Instructor Location Days Times
A1 IND Gorlin FLR 109 M 6:00 pm – 8:45 pm
E1 IND Gorlin FLR 109 M 6:00 pm – 8:45 pm
O1 IND Temkin ARR
O2 IND Temkin ARR

General Electives

(Four courses/16 credits)

Students who are not pursuing a concentration must select four elective courses from the following list. Electives other than those listed below must be approved by the student’s advisor. In choosing electives, students should make sure that they have all prerequisites required by the selected course. At least three elective courses must be at the 600 level or above:

In-depth exploration of the C# programming language and Visual Studio .NET for development, debugging, and deployment of applications. Programming in C# encompassing the following topics: Device I/O handling, .NET Framework application development classes such as window forms, splitters, views, controls, dialogs, resources, such as menus, tool bars, bitmaps, and status bars. Custom controls, visual inheritance, SDI, MDI, and extending the Visual Studio .NET interface. File I/O for reading and storing binary and textual information. Data services for manipulating SQL-databases using ADO.NET. Graphics Services (GDI+) for 2D-vector graphics, imaging, and text rendering, including the new features of gradients, anti-aliasing, double buffering techniques, zooming, off-screen image processing and rendering. Communication services: TCP and UDP sockets, broadcast, unicast, and multicast sockets. Utilizing idle time processing, timers, and threading for building responsive GUI applications. Laboratory course. Prereq: MET CS 341 and MET CS 342; or instructor's consent.   [ 4 cr. ]

Section Type Instructor Location Days Times
A1 IND El-Sheikh CAS 220 M 6:00 pm – 8:45 pm

This course is primarily the study of design of graphic algorithms. At the end of the course you can expect to be able to write programs to model, transform and display 3- dimensional objects on a 2-dimensional display. The course starts with a brief survey of graphics devices and graphics software. 2-d primitives such as lines and curves in 2- d space are studied and a number of algorithms to draw them on a rectangular surface are introduced, followed by a study of polygons, scan conversion and other fill methods. Attributes of the primitives are studied as well as filtering and aliasing. Geometric transformations in 2 dimensions are introduced in homogeneous coordinates, followed by the viewing pipeline, which includes clipping of lines, polygons and text. Hierarchical graphics modeling is briefly studied. The graphics user interface is introduced and various input functions and interaction modes are examined. 3-d graphics is introduced through object representations through polygonal methods, spline techniques, and octrees. This is followed by 3-d transformations and the 3-d viewing pipeline. The course ends with a study of algorithms to detect the visible surfaces of a 3-d object in both the object space and the image space. Laboratory Course. Prereq: MET CS 248 and MET CS 341 or MET CS 342. Or instructor's consent.   [ 4 cr. ]

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 cr. ]

Fall 2016
Section Type Instructor Location Days Times
O1 IND Kalathur ARR
Spring 2017
Section Type Instructor Location Days Times
A1 IND Kalathur FLR 266 M 6:00 pm – 8:45 pm
D1 IND Zhang FLR 265 R 6:00 pm – 8:45 pm

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 cr. ]

Fall 2016
Section Type Instructor Location Days Times
B1 IND Zhang KCB 104 T 6:00 pm – 9:00 pm
Spring 2017
Section Type Instructor Location Days Times
O1 IND Pedley ARR

This course presents financial algorithms used in applications of computer science in financial decision analysis, risk management, data mining and market analysis, and other modern business processes. The course covers theoretical background on probabilistic methods used for financial decision making and their application in number of fields such as financial modeling, venture capital decision making, operational risk measurement and investment science. Number of financial applications and algorithms are being presented for portfolio risk analysis, modeling real options, venture capital decision making, etc. The course concludes with algorithms for financial risk assessment and presents the security concepts and challenges of financial information systems.   [ 4 cr. ]

Section Type Instructor Location Days Times
C1 IND Mehta CGS 423 W 6:00 pm – 8:45 pm

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 cr. ]

Fall 2016
Section Type Instructor Location Days Times
O1 IND El-Jouni ARR
Spring 2017
Section Type Instructor Location Days Times
D1 IND Keskin FLR 264 R 6:00 pm – 8:45 pm
E1 IND Keskin FLR 264 R 6:00 pm – 8:45 pm

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 cr. ]

Fall 2016
Section Type Instructor Location Days Times
O1 IND Zhang ARR
Spring 2017
Section Type Instructor Location Days Times
C1 IND Zhang FLR 265 W 6:00 pm – 8:45 pm
E1 IND Zhang FLR 265 W 6:00 pm – 8:45 pm

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 cr. ]

Fall 2016
Section Type Instructor Location Days Times
A1 IND Levinger FLR 265 M 6:00 pm – 9:00 pm
E1 IND Levinger FLR 265 M 6:00 pm – 9:00 pm
Spring 2017
Section Type Instructor Location Days Times
O1 IND Levinger ARR

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.   [ 4 cr. ]

Section Type Instructor Location Days Times
A1 IND Djordjevic CGS 423 M 6:00 pm – 8:45 pm

Comprehensive coverage of object-oriented programming with cooperating classes. Implementation of polymorphism with inheritance and interfaces and in Java library containers. Programming with exceptions, stream input/output and graphical AWT and Swing components. Threads, sockets, datagrams and database connectivity are also covered in this course. Prerequisite: MET CS 342 or equivalent knowledge of Java. Or MET CS 521 and MET CS 526. Or instructor's consent. For graduates only.   [ 4 cr. ]

Section Type Instructor Location Days Times
B1 IND Hadavi KCB 104 T 6:00 pm – 8:45 pm

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 cr. ]

Fall 2016
Section Type Instructor Location Days Times
D1 IND Heda FLR 264 R 6:00 pm – 9:00 pm
E1 IND Heda FLR 264 R 6:00 pm – 9:00 pm
O1 IND Kanabar ARR
Spring 2017
Section Type Instructor Location Days Times
D1 IND Kanabar FLR 266 R 6:00 pm – 8:45 pm
E1 IND Kanabar FLR 266 R 6:00 pm – 8:45 pm
BHA IND Campbell ROOM M 6:00 pm – 8:45 pm

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 cr. ]

Fall 2016
Section Type Instructor Location Days Times
C1 IND Elentukh FLR 264 W 6:00 pm – 9:00 pm
E1 IND Elentukh FLR 264 W 6:00 pm – 9:00 pm
Spring 2017
Section Type Instructor Location Days Times
O1 IND Elentukh ARR

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 cr. ]

Fall 2016
Section Type Instructor Location Days Times
O1 IND Alt-Simmons ARR
Spring 2017
Section Type Instructor Location Days Times
A1 IND Hannon CGS 315 M 6:00 pm – 8:45 pm

This course provides a comprehensive introduction to building state-of-the-art Web sites, Web applications, Web services, and Web-connected devices with Microsoft technologies, with an emphasis on server-side technologies, cross-platform (Windows, OS X, Linux) methodologies, and how they interplay with today's client-side script. Server-side technologies covered include the C# programming language, the ASP.NET system for developing web sites and web apps, REST-based and SOAP-based web services, ADO.NET and LINQ for data access, Model View Controller (MVC) and Model- View-ViewModel (MVVM) architectures and frameworks like Windows Communication Framework (WCF). This class requires some programming experience in either Java, C#, or C++. Programming will be based on Microsoft Visual Studio or Microsoft Code, available through BU's MSDNAA. A copy of the software will be provided to students. Prereq: MET CS 232, or instructor's consent.  [ 4 cr. ]

Section Type Instructor Location Days Times
C1 IND Konstantopou BRB 121 R 6:00 pm – 9:00 pm

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. Prereq: MET CS 248 and MET CS 341 or MET CS 342; or instructor's consent.  [ 4 cr. ]

Section Type Instructor Location Days Times
D1 IND Berry KCB 104 R 6:00 pm – 9:00 pm

Software design principles, the object-oriented paradigm, unified modeling language; creational, structural, and behavioral design patterns; OO analysis and design; implementation of semester project. Laboratory course. Prereq: MET CS 341, MET CS 342, MET CS 520, or MET CS 521. Or instructor's consent.  [ 4 cr. ]

Section Type Instructor Location Days Times
D1 IND Braude PSY B53 R 6:00 pm – 9:00 pm

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 cr. ]

Fall 2016
Section Type Instructor Location Days Times
A1 IND Wolfe CGS 527 M 6:00 pm – 9:00 pm
E1 IND Wolfe CGS 527 M 6:00 pm – 9:00 pm
O1 IND Carroll ARR
Spring 2017
Section Type Instructor Location Days Times
D1 IND Wolfe CAS B36 R 6:00 pm – 8:45 pm
E1 IND Wolfe CAS B36 R 6:00 pm – 8:45 pm
O1 IND Carroll ARR

This course will be divided into two parts. The first part, two thirds of the course, covers the principles and problems associated with mobile device applications, using as examples Google Android, iPhone, and other platforms such as Nokia. The last third is an in depth coverage of the open source Android development platform. Issues covered will include Mobile Hardware and Cell Networks, Architectures, Operating Systems, Languages, Development Environments and Simulators, User Interfaces, Location-based Services, Storing and Retrieving Data. Students will accomplish the following. (1) Learn the unique set of problems and challenges in developing mobile applications compared with desktop applications; (2) Learn the platform, tools, technology and process for developing mobile applications using Google Android and the Apple iPhone platforms as the main examples; (3) Write applications for the platforms covered, simulate them, and test them on the mobile hardware where possible; and (4) Work collaboratively with fellow students on their projects. Prereq: MET CS 342 OR MET CS 520 or MET CS 521. Or instructor's consent.  [ 4 cr. ]

Fall 2016
Section Type Instructor Location Days Times
B1 IND Czik CAS B27 T 6:00 pm – 9:00 pm
Spring 2017
Section Type Instructor Location Days Times
O1 IND Czik ARR

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 cr. ]

Fall 2016
Section Type Instructor Location Days Times
D1 IND Wolfe FLR 265 R 6:00 pm – 9:00 pm
E1 IND Wolfe FLR 265 R 6:00 pm – 9:00 pm
O1 IND Pak ARR
Spring 2017
Section Type Instructor Location Days Times
D1 IND Burgoyne CGS 527 R 6:00 pm – 8:45 pm
E1 IND Burgoyne CGS 527 R 6:00 pm – 8:45 pm
BCL IND Rachamadugu S 8:30 am – 4:00 pm

. 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 cr. ]

Section Type Instructor Location Days Times
O1 IND Ellabidy ARR

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 cr. ]

Fall 2016
Section Type Instructor Location Days Times
C1 IND Vasilkoski SHA 111 W 6:00 pm – 9:00 pm
O1 IND Vasilkoski ARR
Spring 2017
Section Type Instructor Location Days Times
O1 IND Vasilkoski ARR

This course surveys state-of-the art technologies in DW and Big Data. It describes logical, physical and semantical 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. Prereq: MET CS 579 or MET CS 669 and either MET CS 520 or MET CS 521. Or instructor's consent.   [ 4 cr. ]

Section Type Instructor Location Days Times
B1 IND Wolfe SHA 111 T 6:00 pm – 9:00 pm

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 cr. ]

Fall 2016
Section Type Instructor Location Days Times
C1 IND Zhang HAR 210 W 6:00 pm – 9:00 pm
E1 IND Zhang HAR 210 W 6:00 pm – 9:00 pm
Spring 2017
Section Type Instructor Location Days Times
B1 IND Matthews MCS B19 T 6:00 pm – 8:45 pm
O1 IND Heister ARR

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 cr. ]

Fall 2016
Section Type Instructor Location Days Times
E1 IND Sheehan FLR 109 S 9:00 am – 12:00 pm
O1 IND Navarro ARR
Spring 2017
Section Type Instructor Location Days Times
O1 IND Navarro ARR

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 cr. ]

Section Type Instructor Location Days Times
B1 IND Zhang FLR 133 T 6:00 pm – 8:45 pm
E1 IND Zhang FLR 133 T 6:00 pm – 8:45 pm

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 cr. ]

Fall 2016
Section Type Instructor Location Days Times
A1 IND Jacobs FLR 267 M 6:00 pm – 9:00 pm
E1 IND Jacobs FLR 267 M 6:00 pm – 9:00 pm
BHA IND Dyer T 6:00 pm – 9:00 pm
Spring 2017
Section Type Instructor Location Days Times
A1 IND Jacobs FLR 265 M 6:00 pm – 8:45 pm
E1 IND Jacobs FLR 265 M 6:00 pm – 8:45 pm
O1 IND Pak ARR
BCL IND Rachamadugu U 8:00 am – 3:30 pm

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 cr. ]

Fall 2016
Section Type Instructor Location Days Times
D1 IND Lee FLR 109 R 6:00 pm – 9:00 pm
E1 IND Lee FLR 109 R 6:00 pm – 9:00 pm
O1 IND Lee ARR
Spring 2017
Section Type Instructor Location Days Times
D1 IND Lee FLR 109 R 6:00 pm – 8:45 pm
E1 IND Lee FLR 109 R 6:00 pm – 8:45 pm

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 cr. ]

Section Type Instructor Location Days Times
A1 IND Kalathur FLR 264 M 6:00 pm – 9:00 pm
E1 IND Kalathur FLR 264 M 6:00 pm – 9:00 pm

This course provides a comprehensive understanding of network forensic analysis principles. Within the context of forensics security, network infrastructures, topologies, and protocols are introduced. Students understand the relationship between network forensic analysis and network security technologies. Students will learn to identify network security incidents and potential sources of digital evidence and demonstrate the ability to perform basic network data acquisition and analysis using computer based applications and utilities. Students will also identify potential applications for the integration of network forensic technologies and demonstrate the ability to accurately document network forensic processes and analysis. Prereq: MET CS 625 and MET CS 695; or instructor's consent.  [ 4 cr. ]

Section Type Instructor Location Days Times
E1 IND Jacobs FLR 264 S 1:00 pm – 4:00 pm

This course provides an introduction to the advanced digital forensic topic relating to malicious software (malware), which represents an increasing information security threat to computer systems and networks. Students will review software engineering design fundamentals and reverse engineering techniques utilized to conduct static and dynamic forensic analysis on computer systems and networks. Students will learn about the importance of forensic principles, legal considerations, digital evidence controls, and documentation of forensic procedures. This course will incorporate demonstrations and laboratory exercises to reinforce practical applications of course instruction and will require an independent research paper related to the course topic. Prereq: MET CS 693 and MET CS 703; or instructor's consent.  [ 4 cr. ]

Theory and practice of quality assurance and testing for each step of the software development cycle. Verification vs. validation. Test case design techniques, test coverage criteria, and tools for static and dynamic analysis. Standards. Test-driven development. QA for maintenance and legacy applications. Experimental approaches. Prereq: MET CS 673; or instructor's consent.  [ 4 cr. ]

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 cr. ]

Fall 2016
Section Type Instructor Location Days Times
C1 IND Polnar FLR 267 W 6:00 pm – 9:00 pm
E1 IND Polnar FLR 267 W 6:00 pm – 9:00 pm
Spring 2017
Section Type Instructor Location Days Times
C1 IND Polnar FLR 264 W 6:00 pm – 8:45 pm
E1 IND Polnar FLR 264 W 6:00 pm – 8:45 pm
O1 IND Schudy ARR

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 cr. ]

Fall 2016
Section Type Instructor Location Days Times
C1 IND O'Halloran MCS B23 W 6:00 pm – 9:00 pm
E1 IND O'Halloran MCS B23 W 6:00 pm – 9:00 pm
Spring 2017
Section Type Instructor Location Days Times
O1 IND Damore ARR

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 cr. ]

Fall 2016
Section Type Instructor Location Days Times
B1 IND Faktorovich FLR 264 T 6:00 pm – 9:00 pm
E1 IND Faktorovich FLR 264 T 6:00 pm – 9:00 pm
O1 IND Nizzari ARR
Spring 2017
Section Type Instructor Location Days Times
B1 IND Nizzari FLR 264 T 6:00 pm – 8:45 pm
E1 IND Nizzari FLR 264 T 6:00 pm – 8:45 pm
O1 IND Schudy ARR

The course covers the main concepts and principles of cryptography with the main emphasis put 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. Prereq: MET CS 248 and MET CS 566; or instructor's consent.  [ 4 cr. ]

Section Type Instructor Location Days Times
B1 IND Temkin CGS 515 T 6:00 pm – 9:00 pm

This course builds on the material covered in CS 789 Cryptography. It begins with the coverage of commutative rings, finite fields, rings of polynomials, and finding of the greatest common divisor in the ring of polynomials. Irreducible polynomials are discussed. Field extensions and fields Fᴩ [x]/P are thoroughly covered. The main emphasis is put on elliptic curves over Fᴩ and F₂ and the ElGamal cipher on elliptic curves is presented. Block ciphers DES and double and triple DES are introduced. AES and WHIRLPOOL block ciphers and modes of operation are covered. The course continues with the introduction of message integrity and message authentication. In the last part of the course cryptographic hash functions SHA-512 and WHIRLPOOL as well as various digital signatures are introduced. Finally, entity authentication and key management issues are discussed. Prereq: MET CS 789; or instructor's consent.  [ 4 cr. ]

Master’s Thesis Option in Computer Information Systems

(8 credits)

Students majoring in Computer Information Systems may elect a thesis option, to be completed within twelve months. This option is available to Master of Science in Computer Information Systems candidates who have completed at least seven courses toward their degree and have a GPA of 3.7 or higher. Students are responsible for finding a thesis advisor and a principal reader within the department. The advisor must be a full-time faculty member; the principal reader may be part-time faculty with a PhD (unless waived by department).

This thesis must be completed within 12 months. Students majoring in Computer Science may elect a thesis option. This option is available to Master of Science in Computer Science candidates who have completed at least seven courses toward their degree and have a GPA of 3.7 or higher. Students are responsible for finding a thesis advisor and a principal reader within the department. The advisor must be a full-time faculty member; the principal reader may be part-time faculty member with a doctorate. Permission must be obtained by the department. 4cr.  [ 4 cr. ]

This thesis must be completed within 12 months. Students majoring in Computer Science may elect a thesis option. This option is available to Master of Science in Computer Science candidates who have completed at least seven courses toward their degree and have a GPA of 3.7 or higher. Students are responsible for finding a thesis advisor and a principal reader within the department. The advisor must be a full-time faculty member; the principal reader may be part-time faculty member with a doctorate. Permission must be obtained by the department. 4cr.  [ 4 cr. ]

Degree requirements for the blended format MS in Computer Information Systems can be viewed here.

Degree requirements for the online MS in Computer Information Systems can be viewed here.

View all Computer Science & IT graduate courses.

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