Master of Science in Computer Information Systems concentration in Security
The 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.
Admission & Prerequisite Information
MET prioritizes the review and admission of applications submitted earlier in the rolling admission process. You are encouraged to submit your application as soon as possible and no later than the priority application deadlines for each term.
Applicants must have an earned bachelor’s degree, in any field of study, from a regionally accredited college/university (or the international equivalent) prior to enrollment at Metropolitan College. The following materials are required for a complete application:
- Completed Application for Graduate Admission and application fee
- All college transcripts
- Personal statement
- Three letters of recommendation
- Official English proficiency exam results (International students)
Applicants are not required to have a degree in computer science for entry to a program within the Department of Computer Science. Upon review of your application, the department will determine if the completion of prerequisite coursework will be required, based on your academic and professional background. The following prerequisite courses may be required:
MET CS 200 Introduction to Computer Information Systems
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 2020
|A1||IND||Staff||CAS 228||T||6:00 pm – 8:45 pm|
A maximum of two graduate-level courses (8 credits) taken at Metropolitan College before acceptance into the program may be applied towards the degree.
Degree Requirements—On Campus
A total of 40 credits is required. Students must complete both the Core Curriculum and the Concentration Requirements. 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.
(Five courses/20 credits)
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 2020
|A1||IND||Arena||STH 113||T||12:30 pm – 3:15 pm|
|A2||IND||Arena||PSY B53||T||6:00 pm – 8:45 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: 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. Prerequisite: MET CS 200 or MET CS 622. Or, instructor's consent. [ 4 cr. ]Fall 2020
|A1||IND||Maiewski||COM 215||W||6:00 pm – 8:45 pm|
|A2||IND||Russo||STH 113||R||6:00 pm – 8:45 pm|
|A3||IND||Matthews||MCS B33||T||6:00 pm – 8:45 pm|
|E1||IND||Matthews||MCS B33||T||6:00 pm – 8:45 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 2020
|A1||IND||Guadagno||CAS 222||T||6:00 pm – 8:45 pm|
|A2||IND||Guadagno||FLR 152||R||6:00 pm – 8:45 pm|
|E1||IND||Guadagno||FLR 152||R||6:00 pm – 8:45 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 2020
|A1||IND||Arakelian||CAS 227||R||6:00 pm – 8:45 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 or MET CS 300 or Instructor's Consent. Not recommended for students without a programming background. For undergraduate students: This course may not be taken in conjunction with METCS232. Only one of these courses can be counted towards degree requirements. [ 4 cr. ]Fall 2020
|A1||IND||Donald||MCS B37||M||6:00 pm – 8:45 pm|
|E1||IND||Donald||MCS B37||M||6:00 pm – 8:45 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 300, or instructor's consent. [ 4 cr. ]Fall 2020
|A1||IND||Lu||STH 113||M||6:00 pm – 8:45 pm|
|A2||IND||Pinsky||COM 217||W||6:00 pm – 8:45 pm|
|A3||IND||Pinsky||KCB 102||R||12:30 pm – 3:15 pm|
|A4||IND||Aleksandrov||CAS 201||R||6:00 pm – 8:45 pm|
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.
In addition to the MS in Computer Information Systems core curriculum (20 credits), students pursuing a concentration in Security must also take the following five required courses and electives:
Required Security Courses
(Five courses/20 credits)
MET CS 546 Introduction to Probability and Statistics
The goal of this course is to provide students with the mathematical fundamentals required for successful quantitative analysis of problems. 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. For undergraduate students: This course may not be taken in conjunction with MET MA 113, MET MA 123 or MET MA 213. Only one of these courses can be counted towards degree requirements. [ 4 cr. ]Fall 2020
|A1||IND||Gorlin||SHA 201||M||6:00 pm – 8:45 pm|
|A2||IND||Gorlin||CGS 527||T||6:00 pm – 8:45 pm|
|E1||IND||Gorlin||CGS 527||T||6:00 pm – 8:45 pm|
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 2020
|A1||IND||Campbell||SHA 210||W||6:00 pm – 8:45 pm|
MET CS 695 Enterprise Cyber 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 535 or MET CS 625. Or instructor's consent. [ 4 cr. ]Fall 2020
|A1||IND||Ellabidy||CAS 229||M||6:00 pm – 8:45 pm|
|E1||IND||Ellabidy||CAS 229||M||6:00 pm – 8:45 pm|
And two courses selected from the following:
MET CS 599 Biometrics
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. ]
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. ]
|A1||IND||Zhang||HAR 211||W||6:00 pm – 8:45 pm|
|E1||IND||Zhang||HAR 211||W||6:00 pm – 8:45 pm|
MET CS 690 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 cr. ]Fall 2020
|A1||IND||Matthews||MCS B29||R||6:00 pm – 8:45 pm|
|E1||IND||Matthews||MCS B29||R||6:00 pm – 8:45 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. Prereq: Working knowledge of windows computers, including installing and removing software. Access to a PC meeting the minimum system requirements defined in the course syllabus. [ 4 cr. ]Fall 2020
|E1||IND||Arena||CAS 222||S||9:00 am – 12:00 pm|
MET CS 694 Mobile Forensics and Security
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. ]
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. ]
|A1||IND||Staff||PSY B33||M||6:00 pm – 8:45 pm|
|E1||IND||Staff||PSY B33||M||6:00 pm – 8:45 pm|
MET CS 789 Cryptography
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, or instructor's consent. [ 4 cr. ]
|A1||IND||Pascoe||CGS 121||M||6:00 pm – 8:45 pm|
MET CS 793 Special Topics in Cybersecurity
This course overviews the emerging topics in cybersecurity in the areas of cloud computing security, IoT security, and vehicle security. For each area, we introduce the platform/system architecture, existing threats and countermeasures. In the area of cloud computing security, we concentrate on the security issues of the virtualization and the information leakage through side channel attacks. Then we discuss the challenges of building trust in cloud computing and overview Intel SGX aiming to address such challenges. In the area of IoT security, we present 3 case studies of IoT, smart home, industrial control and connected cars, with emphasis on the threats against them as well countermeasures. In the area of vehicle security, we overview vulnerabilities of CAN bus, explore the attack surface to hack modern cars and the autonomous driving cars. The course aims to provide foundations for students to understand the threats, vulnerabilities and defense mechanisms in those three areas. Hands on lab exercises are included. [ 4 cr. ]
MET CS 799 Advanced Cryptography
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. ]
Degree requirements for the blended format MS in Computer Information Systems concentration in Security can be viewed here.
Degree requirements for the online MS in Computer Information Systems concentration in Security can be viewed here.
View all Computer Science & IT graduate courses.