Concentration Requirements
Earning the OBA concentration requires successfully completing four of the 400-level courses listed below. In this list, the first four are data-analytics oriented, while the last two (466 and 477) are operations oriented.
Choose four:
Course |
Title |
Credit Hours |
Prerequisites* |
---|
OBA 410 |
Predictive Analytics |
4 |
OBA 311, 312, and 335 |
OBA 410 |
Analyzing Big Data |
4 |
OBA 311, 312, and 335 |
OBA 410 |
Python for Data Analytics |
4 |
OBA 311, 312, and 335 |
OBA 410 |
Business Decision Analytics |
4 |
OBA 311, 312, and 335 |
OBA 444 |
Business Database Management Systems |
4 |
OBA 311 |
OBA 466 |
Project and Operations Management Models |
4 |
OBA 335 |
OBA 477 |
Supply Chain Operations and Management |
4 |
OBA 335 |
*OBA 330/340 can substitute for OBA 311/312. The official prerequisite for OBA 410 electives is all OBA core. Speak to an advisor if this affects your graduation timing.
- OBA 410: Predictive Analytics - Machine-learning and statistical techniques for developing predictive models to be used in different classification and pattern recognition problems. Applications include credit card fraud detection and predicting the success rate of a marketing campaign, among others. Tools for applying predicative-analytics methods on real-world datasets.
- OBA 410: Analyzing Big Data - Advances in digital technologies, the Internet, and mobile computing have led to the gathering of massive amounts of data. This course will help students learn how to handle such data (querying, merging, transforming), and how to extract and summarize the information contained in such large data sets.
- OBA 410 Python for Data Analytics - An introduction to the Python language and its supporting packages with applications to data analytics problems; programming constructs including variables, objects, conditional statements, loops, and functions.
- OBA 410 Business Decision Analytics - Optimization and risk assessment approaches for aiding managerial decision making; using analytics-based tools for prescribing an appropriate decision or course of action in complex business situations.
- OBA 444 Business Database Management Systems - Techniques for structuring and storing business data; primary focus on relational database theory, with applied skills for business users, including data warehouses, reporting, and normalization.
- OBA 466 Project and Operations Management Models - Frameworks and solutions for managing complex projects and operations; implementing optimal strategies for producing profitable new products and services in the competitive global business environment.
- OBA 477 Supply Chain Operations and Management - Strategic and tactical issues pertaining to the distribution & delivery of products & services. Methodologies and systems for designing, tracking, and managing complex global operations.
Recommended Course Sequence
Students interested in the OBA concentration are strongly encouraged to take upper division core courses OBA 340/311, 330/312, and OBA 335 as early as possible.
Course Offerings
The following is an example schedule showing when upper division required operations and business analytics courses are typically offered. Consult the university's class schedule for the most current information about when these courses are offered.
Fall |
Winter |
Spring |
---|
|
OBA 466 |
|
OBA 444 |
|
OBA 477 |
|
OBA 410 (Analyzing Big Data) |
OBA 410 (Analyzing Big Data) |
OBA 410 (Python for Data Analytics) |
OBA 410 (Python for Data Analytics) |
OBA 410 (Business Decision Analytics) |
|
OBA 410 (Predictive Analytics) |
OBA 410 (Predictive Analytics) |
Advising Note
Beginning fall 2018, there were changes in the OBA core curriculum. OBA 340 became OBA 311: Business Analytics I, and OBA 330 became OBA 312: Business Analytics II. See your business advisor for more information about the transition.
See an Advisor