Kathleen Waterbury and J.B. Reilly School of Business
Bachelor of Science in Business Analytics
Harness the power of data to drive smarter decisions. In the business analytics program at DeSales, you’ll learn how to use AI, coding, and visualization tools to solve real-world problems.
Program Details
- Official Degree Name
- Bachelor of Science
- Format
-
In Class-Day
- Credit Hours
- 120
- Program Start
- Fall Semester
- Application Deadline
- Apply Anytime
- Average Time to Degree
- 4 Years
Why Get Your Business Analytics Degree at DeSales University?
At DeSales, business analytics goes beyond crunching numbers — you’ll learn how to use AI and data responsibly while gaining hands-on experience with tools like Python and Tableau. With a strong Salesian tradition of ethics and service, our program emphasizes not only technical expertise but also the human side of business, preparing you to communicate insights clearly, make values-driven decisions, and stand out in a rapidly changing workplace.
Program Highlights
Proven Outcomes
You’ll graduate with hands-on training in industry-standard tools like Python and Tableau, plus experience in data mining, machine learning, and applied AI. These skills prepare you to thrive in a fast-changing, data-driven world.
Professional Development Opportunities
Every business student completes a capstone project that partners with a community organization. You’ll apply your analytics expertise to a real-world challenge while building teamwork, leadership, and presentation skills employers value.
Learn More in Less Time
With our 4+1 BS-to-MBA program, you can earn both your bachelor’s and master’s degrees in just five years. This option gives you a competitive advantage for graduate school or the job market.
What Will You Study?
All business majors are required to take a Business Capstone course that features a team service project, assessment tests, a research paper, and a final presentation. The project benefits a community organization in the Salesian spirit of DeSales.
You’ll study the full analytics process: statistics, databases, data mining, machine learning, visualization, and applied AI. Along the way, you’ll learn how to translate data into business solutions, developing both the technical expertise and communication skills that employers seek.
- Database & Data Visualization
- Introduction to Data Analytics & AI
- Data Mining & Machine Learning
- Applied AI Platforms & Projects
- Introduction to Python
- Statistical Analysis Using R
Meet the Faculty
Bobby Dingell
Marketing '26
I learned skills and earned certifications that most full-time employees in the workforce are expected to have. This helped me land an internship with a major credit union doing data analytics work for them.
Admission Requirements
- Completed application
- High School transcripts
- Entrance essay
- Optional SAT score submission
Program Support
Program FAQs
Yes. You can pursue any two interests by completing a dual major. At DeSales, you can complete a double major in the traditional four-year period by taking coursework for your first major during your first and second years. Want to dual major in business analytics and finance? You can do that. Want to dual major in business analytics and dance? You can do that, too!
Allowed? It’s practically required. AI is changing all knowledge work as we know it. It is considered “the new electricity” that is ushering in another revolutionary wave of automation. You have to keep up with the changes and use them appropriately so that you can compete in the job market after graduation.
Past projects included students partnering with:
- Engineers Without Borders (EWB)
- Kiva
- Green Team
- Saint Peter’s Evangelical Church
- Special Olympics
- Girls on the Run
- Mercy School for Special Learning (MSSL)
- Children's Dyslexia Center of Lehigh Valley
- Data analysis refers to working with small datasets, say up to 1,000 rows, using spreadsheet software such as Excel or Google Sheets to clean the data, calculate statistical measures, and produce basic visualizations for interpretation.
- Data analytics refers to working with larger datasets that are too big to work with row-by-row. You use more robust software like Tableau Prep Builder and Tableau Desktop to perform automated cleaning procedures, joins and unions, and develop sophisticated visualizations that can show trends and predictions.
- Business analytics uses the techniques of data analysis and data analytics to effect change in a business in order to solve a problem. The business analyst has to analyze data to articulate the business problem and communicate with stakeholders about it. The business analyst has to gather and document requirements from stakeholders and develop a solution based on them. The solution needs to be implemented and evaluated based on data collected about key metrics.
- Data science refers to the research and development of advanced mathematical and statistical algorithms for use in business and data analytics. Data science is beyond the scope of this program. We use its tools but do not contribute to the toolbox.
AI is working itself into all business software. “Agentic AI” will automate repetitive procedures and tasks across different applications and platforms. You need to be the one who automates, not the one who is automated out of a job. Enormous changes in the workplace and job market are underway.
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