Because data modeling is present in many fields, relevant coursework can be found in bachelor's and master's degree programs in a variety of disciplines, including business, information technology, environmental studies, mathematics and management information systems. Undergraduate courses typically introduce the basic fundamentals of data modeling, while graduate courses may delve into advanced research topics and case studies.
Here are a few common concepts found in data modeling classes:
- Sources of data collection
- Creating charts/diagrams
- Physical design
- Spatial dimensions
Find schools that offer these popular programs
- Computer and Information Support Services, Other
- Information Science and Studies General
- Information Technology
- Robotics and Artificial Intelligence
List of Common Data Modeling Courses
Oracle: Designing a Relational Database and Data Modeling Course
Creation of a relational database and the sorting of users' requirements into relationships, attributes or entities is the focus of this course. Discussions include making an ER (entity-relationship) diagram and mapping it to the initial design of the database. Students completing an Oracle Database Operations Certificate of Completion at a community college may take this course.
Data Models Course
Students develop mathematical models and use them to make decisions and to perform data analyses. The course looks to various disciplines to find problems and data sets. Topics discussed include density plots, dynamical systems and straight-line modeling methods. Students enrolled in an undergraduate mathematic program may take this course as an introductory course.
Environmental Data Modeling and Analysis Course
Students look at statistical methods that are used in data analysis and modeling. Students apply these methods to data sets derived from environmental research or field activity. This is a third or fourth year level course in an environmental studies program.
Database Design and Data Modeling Course
This course teaches students how to take business requirements and build a data model. A model is then implemented to create a physical database. The course teaches students concepts in data modeling and their creation and management. At the end of the course, student will be able to discuss how to represent business information by using data mapping and data modeling. Information management and computer technology program may include this course, which in some institutions, is offered through their extension departments.
Statistical Data Modeling Methods Course
Students are provided with an introduction to new techniques to perform statistical analysis. Some of the topics discuss include robust estimation, exploratory analysis of data and statistical methods of data modeling. A graduate program in statistics may include this course.
Data Modeling in Geoscience Course
Students investigate statistical methods that are used to model and analyze spatial processes and data. Students learn about regression methods, multivariate methods and cluster analysis. The Department of Geography and Geology may require students to take this course as a graduate program required coursework.
Data Modeling within an Enterprise Course
Students develop conceptual models using techniques like modeling entity relationship, language of unified modeling and modeling an object's role. Other topics investigated include competitive and business intelligence. Students develop a workable physical design, which they implement to produce a database.
Enhancing Instruction Using Data Modeling Course
This course is geared towards teachers who are taught to employ software used in data modeling to analyze performance data for each of their students. Teachers learn about visual modeling, data representation and trend analysis. They also receive instruction in how to teach concepts in data modeling (inquiry-based) to their students. This is a graduate course offered through an institution's Department of Education, possibly in an Education Specialist - technology leadership program.