The MS in Management and Systems Database Technologies Concentration provides you with enhanced knowledge of database management and analytics. This four-course concentration guides students through key concepts including the design, creation, maintenance, and querying of databases for effective data analysis. As a student enrolled in this concentration, you will learn about the complexities and best practices of data warehousing and information security, management, and will become familiar with data mining and the role it plays in optimizing competive business data strategy.
Database Technologies Concentration
Requirements
Concentration: Database Technologies
Students select four courses from the list below.
- MASY1-GC3220 Information Security Management 3
- MASY1-GC3500 Database Design & Management 3
- MASY1-GC3505 Data Process and Structure 3
- MASY1-GC3510 Data Mining and Data Warehousing 3
- MASY1-GC3520 Database Applications 3
- MASY1-GC3525 Advanced Database Applications 3
- MASY1-GC3540 Database Technologies for Web Applications 3
FREQUENTLY ASKED QUESTIONS
How Does the Database Technologies Concentration Differ from a Data Management Degree?
The Database Technologies concentration provides students with an enhanced knowledge of databases and analytics, including the design, creation, maintenance, and querying of databases for deep data analysis. It prepares graduates to support the work of the chief data officer in organizations and to apply database technology to solve organizational problems.
Why Choose the MS in Management and Systems Rather Than a Masters in Database Management?
While master’s in database management students learn the technology of databases, they do not focus on the application of databases in a business environment as their learning objective. Students in the MS in Management and Systems who concentrate in database technologies focus on the mission and core business of the  organization, first and foremost, by applying database technology to solve organizational problems and to create new opportunities. They deploy database technology as a means of accomplishing an organizational mission rather than simply becoming database technicians. The database technologies concentration stresses data mining and data analytics to evaluate and obtain answers to business questions, delving way beyond the creation and maintenance of databases.
What Types of Database Management Jobs Are Available?
Students who choose the Database Technologies concentration are frequently employed in traditional database jobs, such as database administrators, but they often go much further based on the highly competitive skills they acquire. Upon graduation, our students are eminently qualified for positions as data analysts, business analysts, and project managers for analytic projects.
What Types of Data Warehousing Concepts Will I Learn About?
Students in the Data Technologies concentration learn to analyze business needs for data warehousing. They acquire the ability to select the appropriate data warehouse logical schema, organize data warehouse elements, answer framed business questions, and decide what technology to deploy to create an effective data warehouse environment. In addition, students learn how to set up ETL (extract transform and load) strategies that keep data current. They also learn to use the SQL language to extract data from a data warehouse and format a data set.
How do Data Mining and Warehousing Relate?
Data warehousing is a technological process that serves to aggregate structured data from one or many sources, so that it can be analyzed and compared to provide greater business intelligence. Data from all the operational systems is extracted, organized, and presented to the data analysts who need to answer strategic questions for the organization. The extracting of data from a data warehouse, which is often organized in an RDBMS format, is done using the SQL query language, which we teach. Data mining is the activity of organizing and extracting answers, which usually reside within a data warehouse. Data mining uses many of the most recent technologies such as machine learning and artificial intelligence.