Program at a Glance
- Online, On Campus, and Blended
- Part-Time Study
- 16 Credits
- 8–12 Months to Completion
- 17 Core Faculty
- No GRE/GMAT
- Tuition & Fees—Part-Time Study*: $15,160
*Based on 2022–2023 Boston University tuition and fees. Merit scholarship may reduce cost.
Design and Implement Database & Business Intelligence Systems
Available on campus, online, and in a blended format, the Graduate Certificate in Database Management & Business Intelligence at Boston University’s Metropolitan College (MET) is ideal for those who want to design and implement both transaction-processing and decision-support databases, and who seek 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.
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. By developing 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—BU MET’s Database Management & Business Intelligence certificate will prepare you for rewarding career tracks, with roles that include database and knowledge modelers, designers, developers, and business intelligence analysts.
#10, Best Online Master's in Computer Information Technology Programs
MET’s online master’s degrees in computer information technology are ranked #10 in the nation by U.S. News & World Report for 2023.Learn More
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Computer Science Career Outlook
Top computer science careers in data science, software development, and other popular areas of IT.Learn more
Why BU Should Be Your Top Choice for Computer Science Graduate Study?
- Recognized & Certified: Boston University is recognized by the National Security Agency and the Department of Homeland Security as a Center of Academic Excellence (CAE) in Cyber Defense and Research. BU MET’s information security programs are certified by the Committee on National Security Systems (CNSS).
- Active Learning Environment: BU MET’s computer science courses ensure you get the attention you need, while introducing case studies and real-world projects that emphasize technical and theoretical knowledge—combining in-depth, practical experience with the critical skills needed to remain on the forefront of the information technology field. In addition, BU’s Center for Reliable Information Systems and Cyber Security (RISCS) offers opportunities to collaborate and participate in research on system reliability and information security.
- Engaged Faculty: In BU MET’s computer science graduate programs, you benefit from working closely with highly qualified faculty and seasoned industry leaders in a wide range of technology fields who are committed to teaching the latest technologies within the framework of ideas, concepts, and methods that drive innovation.
- Extensive Network: Study alongside peers and professionals with solid IT experience, learn from faculty who have valuable contacts across several sectors, and benefit from an alumni community with strong professional connections.
- 15:1 Class Ratio: Enjoy an exceptional student-to-instructor ratio, ensuring close interaction with faculty and access to support.
- Valuable Resources: Make use of Boston University’s extensive resources, including the Center for Career Development, Educational Resource Center, Fitness & Recreation Center, IT Help Centers, Mugar Memorial Library, Center for Antiracist Research, Howard Thurman Center for Common Ground, George Sherman Union, Rafik B. Hariri Institute for Computing and Computational Science & Engineering, and many others.
- Flexible Options: Study at the pace that works for you, evenings on campus, fully online, or in the blended format that combines on-campus and online learning. Courses begin fall, spring, and summer; online courses have two starts per term.
- Track Record: Learn from the best—BU MET’s Department of Computer Science was established in 1979 and is the longest-running computer science department at BU. Over its four decades, the department has played an important role in the emergence of IT at the University and throughout the region.
Prepare for the Future of Technology with BU MET
The four-course Database Management & Business Intelligence graduate certificate is part of BU MET’s portfolio of computer science and IT graduate programs. For over forty years, the Department of Computer Science at Metropolitan College has prepared students to tackle contemporary challenges in the field. Our programs are uniquely flexible—we offer courses evenings on campus, fully online, or in a blended format that combines online study with occasional campus visits—so you can balance graduate school with your career, family, and other obligations. We take pride in providing training in critical specialization areas and emphasizing practical, insightful, and adaptable knowledge that can be immediately applied on the job while informing your career growth for years to come. We also offer extensive advising to help you identify the subjects you’ll need to achieve your career goals.
Our degree programs are certified by the Committee on National Security Systems (CNSS)—the MS in Computer Information Systems has additional accreditation from the Project Management Institute Global Accreditation Center for Project Management Education Programs (GAC) and the Commission on Accreditation for Health Informatics and Information Management Education (CAHIIM). Boston University is designated a Center of Academic Excellence (CAE) in Cyber Defense and Research by the National Security Agency and Department of Homeland Security.
Gain Expertise in Databases
Metropolitan College’s Graduate Certificate in Database Management & Business Intelligence will equip you with:
- 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.
- Proficiency in identifying and appropriately responding to professional, ethical, and legal issues in data management.
You can earn the master’s in Computer Information Systems with a concentration in Database Management & Business Intelligence by completing the Graduate Certificate in Database Management & Business Intelligence and the Graduate Certificate in Information Technology, plus two additional courses: Introduction to Probability and Statistics (MET CS 546 ) and either Information Structures with Java (MET CS 520) or Information Structures with Python (MET CS 521). To be eligible for the degree, you must apply for admission and be accepted into the degree program. Connect with a graduate admissions advisor at firstname.lastname@example.org to learn more about this option.
Database Management & Business Intelligence Graduate Certificate Curriculum
(Four courses/16 credits)
MET CS 699 Data Mining
This course aims to study basic concepts and techniques of data mining. The topics include data preparation, classification, performance evaluation, association rule mining, ?regressions and clustering. We will discuss basic data mining algorithms in the class, and students will practice data mining techniques using Python or R. Prereq: CS 521, and CS 546 and either CS 579 or CS 669. Or instructor's consent. [ 4 cr. ]Sum1 2023
|SC1||IND||Lee||STH 113||R||6:00 pm – 9:30 pm|
|A1||IND||Lee||KCB 102||W||2:30 pm – 5:15 pm|
|A2||IND||Lee||SOC B57||R||6:00 pm – 8:45 pm|
MET CS 779 Advanced Database Management
This course covers advanced aspects of database management including normalization and denormalization, query optimization, distributed databases, data warehousing, and big data. There is extensive coverage and hands on work with SQL, and database instance tuning. Course covers various modern database architectures including relational, key value, object relational and document store models as well as various approaches to scale out, integrate and implement database systems through replication and cloud based instances. Students learn about unstructured "big data" architectures and databases, and gain hands-on experience with Spark and MongoDB. Students complete a term project exploring an advanced database technology of their choice. Prereq: MET CS 579 or MET CS 669; or instructor's consent. [ 4 cr. ]Sum2 2023
|A1||IND||Polnar||CAS 214||R||6:00 pm – 8:45 pm|
Plus one from the following pair (MET CS 579 is offered on campus only):
MET CS 579 Database Management
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. Restrictions: This course may not be taken in conjunction with MET CS 469 (undergraduate) or MET CS 669. Refer to your Department for further details. [ 4 cr. ]Sum1 2023
|SC1||IND||Lee||PSY B33||W||6:00 pm – 9:30 pm|
|A1||IND||Lee||CAS 203||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. [ 4 cr. ]Sum1 2023
|SC1||IND||Matthews||FLR 152||W||6:00 pm – 9:30 pm|
|A1||IND||Maiewski||CAS 201||W||6:00 pm – 8:45 pm|
|A2||IND||Russo||MCS B31||R||6:00 pm – 8:45 pm|
|A3||IND||Matthews||CAS 315||T||6:00 pm – 8:45 pm|
|E1||IND||Matthews||CAS 315||T||6:00 pm – 8:45 pm|
And one more from the following pair:
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. ]
MET CS 689 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 cr. ]
|A1||IND||Polnar||CDS B62||M||6:00 pm – 8:45 pm|
Computer Science Faculty
View All Faculty
Senior Associate Dean for Academic Affairs Associate Professor, Computer Science Director, Health Informatics & Health Sciences
Master Lecturer, Computer Science
Assistant Professor, Computer Science Director, Analytics
Associate Professor, Computer Science and Administrative Sciences Director, Project Management
Jae Young Lee
Assistant Professor, Computer Science Coordinator, Databases
Associate Professor of the Practice, Computer Science Coordinator, Software Development
Assistant Professor, Computer Science
Associate Professor Emeritus, Computer Science
Associate Professor Emeritus, Computer Science
Associate Professor and Associate Chair, Computer Science Coordinator, Health Informatics
Assistant Professor, Computer Science
Assistant Professor, Computer Science Director, Cybersecurity
Dean, Metropolitan College & Extended Education Professor of the Practice, Computer Science and Education Director, Information Security, Center for Reliable Information Systems & Cyber Security
Tuition & Financial Assistance
Competitive TuitionOur part-time rates are substantially lower than those of the traditional, full-time residential programs yet provide access to the same high-quality BU education.
Comprehensive Financial AssistanceOur services include scholarships, graduate loans, and payment plans.
Please visit the BU MET admissions page for details on how to apply, financial assistance, tuition and fees, requirements for international students, and more.
What to Read Next: MET Computer Science & IT
- How Long Does a Master’s in Computer Science Take to Complete—and What is the Cost?
- Why Get a Master’s Degree in Computer Science at BU MET?
- What Do My Career Options Look Like with a Master’s in Computer Science from BU’s Metropolitan College?
- Are There Different Computer Science Graduate Programs or Specializations at BU?
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