Goodwin College of Business
MS in Business Analytics
Harness the Power of Data for Strategic Decision-Making
The STEM designated Master of Science (MS) in Business Analytics is a specialized graduate program designed to equip students with the skills and knowledge necessary to harness the power of data for strategic decision-making in the business world. Our Business Analytics program integrates principles from business, quantitative skills, and information technology to analyze and interpret complex data sets, enabling professionals to make informed and data-driven decisions.
This BenU leverages our decades-long expertise in preparing professionals for rapid advances in technology, intense global competition, and more complex business environments.
Decades-Long Expertise
BenU’s Lisle campus is a vibrant academic community nestled in a picturesque suburban setting, offering a diverse ranFor decades, Benedictine University has been a leader in preparing professionals for the ever-changing business landscape. The M.S. in Business Analytics program builds upon this legacy, equipping you with the cutting-edge skills and knowledge needed to thrive in an increasingly data-driven world.
Bridge the Gap Between Business and IT
The M.S. in Business Analytics program bridges the gap between functional business units and information technology. This program equips you to leverage cutting-edge IT tools and apply business acumen to transform data into actionable insights for solving real-world business challenges.
Preparing Leaders for the 21st Century
The M.S. in Business Analytics program goes beyond theory, immersing you in practical application of business analytics tools and management theories. You’ll tackle real-life scenarios through group projects, case studies, and active engagement, developing the critical thinking and leadership skills essential for success in the 21st century.
The BenU Difference
Fostering a Diverse Learning Environment
In today’s data-driven world, organizations across industries are recognizing the immense potential of business analytics to gain valuable insights, improve decision-making, and drive success. If you’re passionate about quantitative methods and data analysis and want to be at the forefront of this exciting field, then Benedictine University’s STEM designated Master of Science (M.S.) in Business Analytics program is for you.
Our program’s uniqueness lies in its commitment to individual development, emphasizing practical application, and fostering a diverse learning environment. The exposure to students with different talents, experiences, and job responsibilities is a key element in each student’s development of business analytics skills.
What You’ll Learn:
- Curriculum Overview: The curriculum covers major areas of business analytics, including databases and data warehouses, descriptive analytics, predictive analytics, and prescriptive analytics, along with organizational considerations.
- Focus on Data-Driven Decision Making: The program focuses on skills, technologies, applications, and practices for iterative exploration and investigation of past business performance to gain insight and drive business planning.
- STEM Designation: Our graduate business analytics program is a STEM-designated program, with CIP code 52.1399 Management Science and Quantitative Methods, Other.
- Flexibility in Learning: The program’s classes are ideal for those who seek flexibility in their course schedules, offered in eight-week terms with options for in-person and online attendance.
- 4+1 M.S. in Business Analytics Program: Well-qualified Benedictine University students who complete a B.B.A. or B.S. degree may be eligible to complete the master’s degree in Business Analytics in approximately one additional year of full-time graduate study. Students in other majors are encouraged to discuss curricular options with the program director. The full-time 4+1 Program is developed specifically for recent college graduates. Admission to the program is not automatic and an application must be completed during the student’s senior year of undergraduate coursework.
Benefits of a master’s degree in business analytics:
A Master of Science in Business Analytics (MSBA) opens doors to a wide range of exciting career opportunities across diverse industries. Here are some of the top career paths you can pursue with your MSBA:
Data Analyst: Analyze and interpret data to identify trends and insights, driving strategic decision-making across diverse industries.
Business Intelligence Analyst: Develop and implement BI solutions to collect, organize, and analyze data, enabling effective performance monitoring and reporting.
Business Analytics Consultant: Help organizations implement and utilize data analytics tools and techniques to improve efficiency, optimize decisions, and drive growth.
Predictive Modeler: Develop and apply predictive models to forecast future trends, enabling proactive planning and risk management in various fields.
Data-Driven Management: Lead and manage teams of data professionals, implement data analytics initiatives, and provide strategic direction for an organization’s data-driven efforts.
Beyond these specific roles, your MSBA can also equip you for various other career opportunities requiring strong analytical skills and data-driven decision-making capabilities. With the ever-growing importance of data in all aspects of business, the demand for skilled business analytics professionals is expected to continue rising, ensuring a promising future for graduates of this program.
Here is an example of some courses you may take in the MS in Business Analytics program:
- Prescriptive Analysis
- Machine Learning
- Predictive Modeling
- Data Visualization
- Leadership
- Organizational Behavior
Graduate Business Analytics Courses (BALT)
STUDENT TESTIMONIAL
Ady Gray
M.S. Business Analytics ’15
Group Director Marketing Science at Critical Mass
“The business analytics program focus I pursued was a great learning platform for my career. At the time I was looking to pivot into a more data driven field and it was exactly the right fit. The program was flexible, with both frequency of program options and scheduling. The education served my learning style with collaboration and the ability to apply knowledge into a wide range of use cases.”
