Master of Business Administration: Data Analytics
Master of Business Administration: Data Analytics
Data Analytics Concentration in Rowan's MBA
Why an MBA Concentration in Data Analytics?
Organizations increasingly depend on complex data environments, and business value depends on how effectively data is structured, managed, analyzed, and communicated. The Data Analytics Concentration focuses on the architecture and analytical methods behind reliable, decision-ready information, including the management, integration, mining, quality, and visualization of data.
Concentration Details
Requirement: 9 credits; complete the two required Data Analytics courses and one approved option. For the STEM MBA, DS 02510 is the required third course.
The concentration pairs required study in database design and data warehousing and business intelligence with one advanced analytical option. The structure connects the organization and integration of data with more advanced methods for analyzing or communicating it.
*STEM-designated course. For degree-level requirements, see the STEM MBA.
Course Details
Required Courses
MIS 02538 – Database Design (STEM*)
This course explores the fundamentals of designing a database. It emphasizes the relational model; however, the course also explores the hierarchical and network models. Additionally, the course covers such topics as data insertion, modification, and extraction using SQL. CASE tools and database management tools will be employed.
MIS 02540 – Data Warehousing and Business Intelligence (STEM*)
This course covers the concepts, principles, and tools of data warehousing technology as a component and function of Business Intelligence. It explores how to solve business problems by using an organization’s data to gain new insights into its operations. Additionally, it introduces the approaches, roles, and responsibilities associated with the design and implementation of a data warehouse. This course leverages a portfolio of SQL Server tools for hands-on experience in implementing a solution through assignments, lab exercises, and projects.
Prerequisite: MIS 02538 Database Design.
Choose One Approved Option
DS 02510 – Visual Analytics (STEM*)
This is a graduate level course that investigates visual analytics tools and techniques used to synthesize information and derive insight from massive, dynamic, ambiguous, and often conflicting data, and to communicate the findings effectively for decision-making. Extensive use of case studies based on real-world events will be used to illustrate course concepts. Students will be required to present recent conference or journal papers from the visual analytics literature and to apply visual analytics techniques toward a focused research problem in a real-world application or a domain of interest.
CS 02505 – Data Mining I (STEM*)
This is a first graduate level course in Data Mining, which is designed to teach students the key steps in data mining, along with the primary algorithms related to data acquisition, cleansing, and supervised and unsupervised learning.
CS 02625 – Data Quality and Web/Text Mining (STEM*)
This course studies data quality problems and solutions in the context of text and web mining, which is the exploration of vast amounts of digitized text for use in knowledge discovery or more particularly drug discovery in the biomedical field.
Prerequisite: CS 02530 Advanced Database Systems: Theory and Programming
Data Analytics Certificate Option
The Data Analytics Certificate of Graduate Study provides focused graduate study in data architecture, business intelligence, and analytics. For students who complete the COGS before entering the MBA, the same coursework can satisfy the Data Analytics Concentration.
