Blended Master of Science in Computer Information Systems concentration in Database Management & Business Intelligence
Students pursuing the blended Master of Science in Computer Information Systems concentration in Database Management & Business Intelligence will gain extensive hands-on experience with SQL using the Oracle and other leading DBMS and data mining tools. Students who complete this concentration will have extensive skill and experience in the design and implementation of operational databases as well as the data warehousing, data mining, and related business intelligence technologies for managing the enterprise. Database management systems play key roles in the operations and management of every organization across all industries. Career tracks include database and knowledge modelers, designers, developers, and business intelligence analysts.
Students who complete the Computer Information Systems master’s degree concentration in Database Management & Business Intelligence 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 database modeling and design, database implementation, distributed databases, object-oriented and object-relational databases, and databases for web applications, as well as typical data mining methods.
- Proficiency in the design, implementation, performance tuning of different types of databases, and in performing data mining tasks on various types of data.
- Competence sufficient to participate in the design and implementation of large, distributed database systems and business intelligence systems.
A total of 40 credits is required. Students must complete both the Core Curriculum and the Concentration Requirements.
Admission & Prerequisite Information
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.
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.
Applicants to the program are required to have a bachelor’s degree and proficiency in the following areas:
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. ]
|B1||IND||Keklak||PHO 201||T||6:00 pm – 8:45 pm|
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.
(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. ]
|B1||IND||Arena||KCB 107||T||6:00 pm – 8:45 pm|
|D1||IND||Arena||KCB 106||R||6:00 pm – 8:45 pm|
|E1||IND||Arena||KCB 107||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. ]
|A1||IND||Matthews||CAS 208||M||6:00 pm – 8:45 pm|
|C1||IND||Maiewski||CAS 426||W||6:00 pm – 8:45 pm|
|BCL||IND||Parrott||ROOM||U||8:00 am – 3:30 pm|
|BHA||IND||Russo||ROOM||M||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. ]
|C1||IND||Guadagno||CAS 324||W||6:00 pm – 8:45 pm|
|D1||IND||Guadagno||CGS 527||R||6:00 pm – 8:45 pm|
|E1||IND||Guadagno||CAS 324||W||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. ]
|D1||IND||Arakelian||CAS 426||R||6:00 pm – 8:45 pm|
|E1||IND||Arakelian||CAS 426||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. [ 4 cr. ]
|D1||IND||Donald||CAS 233||R||6:00 pm – 8:45 pm|
|BCL||IND||Kieffer||ROOM||S||8:30 am – 4:00 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 300, or instructor's consent. [ 4 cr. ]
|A1||IND||Lu||CAS 214||M||6:00 pm – 8:45 pm|
|C1||IND||Pinsky||CAS B20||W||6:00 pm – 8:45 pm|
|C2||IND||Aleksandrov||CAS 315||W||6:00 pm – 8:45 pm|
|E1||IND||Pinsky||CAS B20||W||6:00 pm – 8:45 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 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 blended MS in Computer Information Systems core curriculum (20 credits), students pursuing a concentration in Database Management & Business Intelligence must also satisfy the following requirements:
Required Database Management & Business Intelligence Courses
(Five courses/20 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. ]
|A1||IND||Gorlin||MCS B33||M||6:00 pm – 8:45 pm|
|B1||IND||Gorlin||CAS 213||T||6:00 pm – 8:45 pm|
MET CS 699 Data Mining
The goal of this course is to study basic concepts and techniques of data mining. The topics include data preparation, classification, performance evaluation, association rule mining, and clustering. We will discuss basic data mining algorithms in the class and students will practice data mining techniques using data mining software. Students will use Weka and SQL Server or Oracle. 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. ]
|C1||IND||Lee||CGS 527||W||6:00 pm – 8:45 pm|
|E1||IND||Lee||CGS 527||W||6:00 pm – 8:45 pm|
MET CS 779 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. Students learn about unstructured "big data" databases and gain hands-on experience with MongoDB and Spark, which are integrated into the course web site. Prereq: MET CS 579 or MET CS 669; or instructor's consent. [ 4 cr. ]
|D1||IND||Polnar||CAS 213||R||6:00 pm – 8:45 pm|
|E1||IND||Polnar||CAS 213||R||6:00 pm – 8:45 pm|
One course from the following:
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. ] This course surveys state-of-the art technologies in DW and Big Data. It describes logical, physical and semantic foundation of modern DW infrastructure. Students will create a cube using OLAP and implement decision support benchmarks on Hadoop/Spark vs Vertica database. Upon successful completion, students will be familiar with tradeoffs in DW design and architecture. Prereq: MET CS 579 or MET CS 669 and either MET CS 520 or MET CS 521. Or instructor's consent. [ 4 cr. ]
MET CS 674 Database Security
6:00 pm – 8:45 pm
6:00 pm – 8:45 pm
MET CS 689 Designing and Implementing a Data Warehouse
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. ]
This course surveys state-of-the art technologies in DW and Big Data. It describes logical, physical and semantic foundation of modern DW infrastructure. Students will create a cube using OLAP and implement decision support benchmarks on Hadoop/Spark vs Vertica database. Upon successful completion, students will be familiar with tradeoffs in DW design and architecture. Prereq: MET CS 579 or MET CS 669 and either MET CS 520 or MET CS 521. Or instructor's consent. [ 4 cr. ]
And one additional course from the following list of General Electives:
MET CS 570 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 cr. ]
|B1||IND||Duke-Cohan||KCB 104||T||6:00 pm – 8:45 pm|
|E1||IND||Duke-Cohan||KCB 104||T||6:00 pm – 8:45 pm|
MET CS 580 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 cr. ]
|C1||IND||Zhang||KCB 107||W||6:00 pm – 8:45 pm|
|E1||IND||Zhang||KCB 107||W||6:00 pm – 8:45 pm|
MET CS 581 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 cr. ]
MET CS 601 Web Application Development
|B1||IND||Sheehan||CAS 426||T||6:00 pm – 8:45 pm|
|E1||IND||Sheehan||CAS 426||T||6:00 pm – 8:45 pm|
MET CS 632 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 cr. ]
|D1||IND||Heda||CGS 515||R||6:00 pm – 8:45 pm|
|E1||IND||Heda||CGS 515||R||6:00 pm – 8:45 pm|
MET CS 633 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 cr. ]
MET CS 634 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 cr. ]
|C1||IND||Kanabar||CAS 204A||W||6:00 pm – 8:45 pm|
MET CS 677 Data Science with Python
Students will learn major Python tools and techniques for data analysis. There are weekly assignments and mini projects on topics covered in class. These assignments will help build necessary statistical, visualization and other data science skills for effective use of data science in a variety of applications including finance, text processing, time series analysis and recommendation systems. In addition, students will choose a topic for a final project and present it on the last day of class. Prerequisite: MET CS 521 or equivalent. Or, instructor's consent. [ 4 cr. ]
|A1||IND||Pinsky||HAR 304||M||6:00 pm – 8:45 pm|
|B1||IND||Kalathur||PHO 203||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. ]
|D1||IND||Burgoyne||KCB 104||R||6:00 pm – 8:45 pm|
|E1||IND||Burgoyne||KCB 104||R||6:00 pm – 8:45 pm|
|BHA||IND||Staff||ROOM||T||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. ]
|B1||IND||Matthews||CAS 229||T||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. ]
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. ]
|A1||IND||Zhang||CAS 426||M||6:00 pm – 8:45 pm|
|E1||IND||Zhang||CAS 426||M||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. ]
|A1||IND||Jacobs||CAS 320||M||6:00 pm – 8:45 pm|
|E1||IND||Jacobs||CAS 320||M||6:00 pm – 8:45 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. ]
MET CS 781 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 cr. ]
MET CS 783 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 cr. ]
|B1||IND||Yates||PSY B53||T||6:00 pm – 8:45 pm|
View all Computer Science & IT graduate courses.