Blended Master of Science in Computer Information Systems concentration in Security
The blended Master of Science in Computer Information Systems concentration in Security provides in-depth knowledge of emerging security threats and solutions to prepare technical leaders to identify, develop, and implement highly secure systems and networks that support organizational goals.
Students who complete the Computer Information Systems master’s degree concentration in Security 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.
- Advanced knowledge of information security concepts, governance, biometric systems, and database systems security, as well as network security and cryptography.
- Proficiency in risk management, such as asset assessments, architectural solutions, modeling, and design.
- Competence in security policies, processes, technology, and operations.
A total of 40 credits is required. Students must complete both the Core Curriculum and the Concentration Requirements.
(Six courses/24 credits)
MET CS 546 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 cr. ]Fall 2015
|B1||IND||Gorlin||FLR 109||T||6:00 pm – 9:00 pm|
|EL||IND||Gorlin||FLR 109||T||6:00 pm – 9:00 pm|
|A1||IND||Gorlin||FLR ARR||M||6:00 pm – 9:00 pm|
|EL||IND||Gorlin||FLR ARR||M||6:00 pm – 9:00 pm|
MET CS 625 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 cr. ]Fall 2015
|B1||IND||Arena||FLR 266||T||6:00 pm – 9:00 pm|
|EL||IND||Arena||FLR 266||T||6:00 pm – 9:00 pm|
|B1||IND||Arena||FLR ARR||T||6:00 pm – 9:00 pm|
|EL||IND||Arena||FLR ARR||T||6:00 pm – 9:00 pm|
MET CS 669 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 cr. ]Fall 2015
|C1||IND||Maiewski||CAS 225||W||6:00 pm – 9:00 pm|
|EL||IND||Matthews||CAS 214||W||6:00 pm – 9:00 pm|
|BCL||IND||Simovici||U||8:00 am – 3:30 pm|
|C1||IND||Maiewski||FLR ARR||W||6:00 pm – 9:00 pm|
|EL||IND||Maiewski||FLR ARR||W||6:00 pm – 9:00 pm|
|BHA||IND||Polnar||T||6:00 pm – 9:00 pm|
MET CS 682 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 cr. ]Fall 2015
|D1||IND||Guadagno||FLR 109||R||6:00 pm – 9:00 pm|
|EL||IND||Guadagno||FLR 109||R||6:00 pm – 9:00 pm|
|D1||IND||Guadagno||FLR 267||R||6:00 pm – 9:00 pm|
|EL||IND||Guadagno||FLR 267||R||6:00 pm – 9:00 pm|
MET CS 782 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 cr. ]Fall 2015
|A1||IND||Arakelian||SMG 210||M||6:00 pm – 9:00 pm|
|EL||IND||Arakelian||SMG 210||M||6:00 pm – 9:00 pm|
|A1||IND||Arakelian||212||M||6:00 pm – 9:00 pm|
|EL||IND||Arakelian||212||M||6:00 pm – 9:00 pm|
And one of the following*:
MET CS 520 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; Not recommended for students without a programming background. Or Instructor's Consent. [ 4 cr. ]Fall 2015
|A1||IND||Donald||FLR 109||M||6:00 pm – 9:00 pm|
|EL||IND||Donald||FLR 109||M||6:00 pm – 9:00 pm|
|BCL||IND||Simovici||S||8:30 am – 4:00 pm|
|C1||IND||Donald||SHA 201||W||6:00 pm – 9:00 pm|
MET CS 521 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; Not recommended for students without a programming background. Or instructor's Consent. [ 4 cr. ]Fall 2015
|C1||IND||Braude||KCB 102||W||6:00 pm – 9:00 pm|
|C1||IND||Braude||KCB 102||W||6:00 pm – 9:00 pm|
*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.
In addition to the blended MS in Computer Information Systems core curriculum (24 credits), students pursuing a concentration in Security must also satisfy the following requirements:
Required Security Courses
(Two courses/8 credits)
MET CS 684 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 cr. ]Fall 2015
|D1||IND||Burgoyne||FLR 266||R||6:00 pm – 9:00 pm|
|EL||IND||Burgoyne||FLR 266||R||6:00 pm – 9:00 pm|
|D1||IND||Burgoyne||FLR 264||R||6:00 pm – 9:00 pm|
|EL||IND||Burgoyne||FLR 264||R||6:00 pm – 9:00 pm|
MET CS 695 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 cr. ]
|A1||IND||Jacobs||FLR 264||M||6:00 pm – 9:00 pm|
|EL||IND||Jacobs||FLR 264||M||6:00 pm – 9:00 pm|
(Two courses/8 credits)
Two courses selected from the following:
MET CS 674 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 cr. ]Fall 2015
|B1||IND||Ultrino||FLR 265||T||6:00 pm – 9:00 pm|
|EL||IND||Ultrino||FLR 265||T||6:00 pm – 9:00 pm|
|C1||IND||Wolfe||FLR 267||W||6:00 pm – 9:00 pm|
|EL||IND||Wolfe||FLR 267||W||6:00 pm – 9:00 pm|
|BCL||IND||Parrott||U||8:00 am – 3:30 pm|
MET CS 693 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 cr. ]Fall 2015
|EL||IND||Arena||FLR 109||S||9:00 am – 12:00 pm|
|BHA||IND||Staff||M||6:00 pm – 9:00 pm|
MET CS 703 Network Forensics
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. ]
|EL||IND||Jacobs||FLR 266||S||1:00 pm – 4:00 pm|
MET CS 713 Advanced Digital Forensics
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. ]
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