Davis College Of Business- Jacksonville University
Online MS in Applied Business Analytics

Jacksonville, USA

DEGREE TYPE

MSc

DURATION

LANGUAGES

English

PACE

APPLICATION DEADLINE

EARLIEST START DATE

Sep 2026

STUDY FORMAT

Key Summary

About: The Online MS in Applied Business Analytics at Jacksonville University teaches IT, statistical, and management science for strategy and decision-making. You can study online or via flex classes (recorded). The program builds on computer science, IT, or engineering backgrounds and adds management and strategy. You'll learn data mining, interpretation, project management, data management, visualization design, and analytical software such as R, Oracle SQL, Python, Tableau, RapidMiner, Microsoft Project, and Excel.

Career Outcomes: Graduates can work as data analysts, business intelligence analysts, data scientists, analytics managers, IT business analysts, or project managers in logistics, ports, finance, healthcare, and technology firms.

Apply IT, statistical, and management science to strategy-building and decision-making in business. Earn your Master of Science in Applied Business Analytics completely online or by coming to class. Every class it is your choice. Flex classes are in-person, online and recorded. You never have to miss anything. Have classes your way.

The Master of Science in Applied Business Analytics degree allows students with a strong background in the technical side of business — such as in computer science, information technology and engineering — to build on those skills and supplement them with knowledge of management, marketing, and business strategy. Mastering your business intelligence skills will make you stand out as a problem solver, decision maker, and strategic thinker in the industry.

In Jacksonville University’s online MS Applied Business Analytics program, you will learn and develop:

Fundamental knowledge and skills for applying IT, statistical and management science models
Advanced decision making skills
Data mining and the interpretation of data
Best practices for project management
Managing corporate data resources
Visualization design principles to create productive data
Analytical Software skills acquired in the program:
- R programing language for data science
- Oracle SQL
- Python
- Tableau
- Rapid Miner Intro
- Microsoft Project
- Data Analysis tools in Excel