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 improve management of the enterprise and routine business operations such as intelligent supply chain management.
Students who complete the online Graduate 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.
Why Choose BU’s Graduate Certificate in Database Management and Business Intelligence?
- Four-course certificate program comprises courses shared by the MS in Computer Information Systems, ranked #10 among the nation’s Best Online Graduate Computer Information Technology Programs (U.S. News & World Report 2020).
- Students benefit from a supportive online network, with courses developed and taught by PhD-level full-time faculty and professionals with hands-on expertise in the industry.
- Small course sections ensure that students get the attention they need, while case studies and real-world projects ensure that they gain in-depth, practical experience with the latest technologies.
Computer and Information Systems Managers
12% increase in jobs through 2026
$139,220 median annual pay in 2017
Computer and Information Research Scientists
19% increase in jobs through 2026
$114,520 median annual pay in 2017
Computer Systems Analysts
9% increase in jobs through 2026
$88,270 median annual pay in 2017
11% increase in jobs through 2026
$87,020 median annual pay in 2017
Bureau of Labor Statistics, U.S. Department of Labor, Occupational Outlook Handbook, 2017-18 Edition
Best Technology Jobs, 2019 U.S. News & World Report
- #1 Software Developer
- #2 Computer Systems Analyst
- #3 IT Manager
- #4 Information Security Analyst
- #5 Database Administrator
- #6 Web Developer
- #7 Computer Network Architect
- #8 Computer Systems Administrator
- #9 Computer Support Specialist
- #10 Computer Programmer
By 2018, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know-how to use the analysis of big data to make effective decisions.
McKinsey & Company
Big data: The Next Frontier for Innovation, Competition, and Productivity, 2011
Boston University Metropolitan College (MET) offers competitive tuition rates that meet the needs of part-time students seeking an affordable education. These rates are substantially lower than those of the traditional, full-time residential programs yet provide access to the same high-quality BU education. To learn more about current tuition rates, visit the MET website.
Comprehensive financial assistance services are available at MET, including graduate assistantships (up to $4,200 per semester), scholarships, graduate loans, and payment plans. There is no cost to apply for financial assistance, and you may qualify for a student loan regardless of your income. Learn more.
Boston University’s Graduate Certificate in Database Management & Business Intelligence consists of four required online courses (16 credits).
Academic credits earned toward the online Graduate Certificate in Database Management & Business Intelligence may be transferred to a Master of Science degree in Computer Science, Computer Information Systems, or Telecommunication.
(Four courses/16 credits)
METCS669 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 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: CS 546 and either CS 579 or CS 669. Or instructor’s consent. [4 credits]
METCS779 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 credits]
And one selected from the following:
METCS674 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 credits]
METCS689 Designing and Implementing a Data Warehouse
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 credits]
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:
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.
A maximum of two graduate-level courses (8 credits) taken at Metropolitan College before acceptance into the program may be applied towards the certificate.
Jae Young Lee
Assistant Professor, Computer Science; Coordinator, Databases
PhD, MS, University of Texas at Arlington; BS, Seoul National University (Korea)
Associate Professor, Computer Science
PhD, MS, University of Rochester; BA, University of California San Diego
To learn more or to contact an enrollment advisor before you get started, request information using the button below and tell us a little about yourself. Someone will be in touch to answer any questions you may have about the program and detail the next steps in earning your degree. You can also start your application or register for a course at Metropolitan College.