Database Management & Business Intelligence Graduate Certificate

Database systems are the information heart of modern enterprises, where they are used for processing business transactions and for understanding and managing the enterprise. Business intelligence is the analysis of data to produce insights useful for managing the enterprise and, increasingly, in routine business operations such as intelligent supply chain management. Students who complete the certificate in Database Management & Business Intelligence will be prepared to design and implement both transaction processing and decision support databases and to use data mining technologies to discover the structure, trends, and relationships in the data to produce valuable business insights and effective decision support processes.

Students who complete the Graduate Certificate in Database Management & Business Intelligence will be able to demonstrate:

  • 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.

Graduate Certificate in Database Management & Business Intelligence 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. Each course for the Graduate Certificate in Information Technology combines online study with four on-campus Saturday meetings per semester.

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 certificate 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, two letters of recommendation, personal statement and résumé are required as part of the application.

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

Minimum passing grade for a course in the graduate certificate program is C (2.0), but an average grade of B (3.0) must be maintained to be in good academic standing and satisfy the certificate requirements.

Apply Online

Academic credits earned toward the Graduate Certificate in Database Management & Business Intelligence may be transferred to a Master of Science degree in Computer ScienceComputer Information Systems, or Telecommunication.

Prerequisites

Any bachelor’s degree. Some courses may have additional prerequisites.

Courses

(Four courses/16 credits)

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. ]

Sum1 2017
Section Type Instructor Location Days Times
SO1 IND Lee ARR
Fall 2017
Section Type Instructor Location Days Times
D1 IND Lee FLR 267 R 6:00 pm – 8:45 pm
E1 IND Lee FLR 267 R 6:00 pm – 8:45 pm
O1 IND Lee ARR

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. ]

Section Type Instructor Location Days Times
C1 IND Polnar FLR 109 W 6:00 pm – 8:45 pm
E1 IND Polnar FLR 109 W 6:00 pm – 8:45 pm

Plus one from the following pair:

This course provides a theoretical yet modern presentation of database topics ranging from Data and Object Modeling, relational algebra and normalization to advanced topics such as how to develop Web-based database applications. Other topics covered - relational data model, SQL and manipulating relational data; applications programming for relational databases; physical characteristics of databases; achieving performance and reliability with database systems; object-oriented database systems. Prereq: MET CS 231 or MET CS 232; or instructor's consent.  [ 4 cr. ]

Sum1 2017
Section Type Instructor Location Days Times
SC1 IND Russo MCS B23 M 6:00 pm – 9:30 pm
Fall 2017
Section Type Instructor Location Days Times
B1 IND Lee COM 217 T 6:00 pm – 8:45 pm

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. ]

Sum1 2017
Section Type Instructor Location Days Times
BCL IND Parrott U 8:00 am – 3:30 pm
SC1 IND Matthews FLR 109 W 6:00 pm – 9:30 pm
SEL IND Matthews FLR 109 W 6:00 pm – 9:30 pm
SO1 IND Mansur ARR
Fall 2017
Section Type Instructor Location Days Times
C1 IND Maiewski CAS 222 W 6:00 pm – 8:45 pm
D1 IND Matthews FLR 266 R 6:00 pm – 8:45 pm
E1 IND Matthews FLR 266 R 6:00 pm – 8:45 pm
O1 IND Mansur ARR
O2 IND Farr ARR

And one more from the following pair:

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. ]

Section Type Instructor Location Days Times
A1 IND Wolfe FLR 134 M 6:00 pm – 8:45 pm
E1 IND Wolfe FLR 134 M 6:00 pm – 8:45 pm
O1 IND Wolfe ARR
BCL IND Parrott U 8:00 am – 3:30 pm

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 MCS B25 T 6:00 pm – 8:45 pm

Prerequisites

Any bachelor’s degree. Some courses may have additional prerequisites.

Courses

(Four courses/16 credits)

  • MET CS 669 Database Design and Implementation for Business
  • MET CS 674 Database Security
  • MET CS 699 Data Mining
  • MET CS 779 Advanced Database Management

Program requirements for the online Database Management & Business Intelligence Graduate Certificate can be viewed here.

View course descriptions.