Business Analytics, BS

4 Years On Campus Bachelors Program

University of Pennsylvania

Program Overview

The Business Analytics, BS at the University of Pennsylvania’s Wharton School combines business education with statistics, data analysis, optimization, and decision-making, making it particularly suited to students who want to use data to solve real business problems. Students learn how to collect and manage data, develop predictions and inferences, and use analytical models to support decisions across areas such as finance, marketing, operations, technology, and management.

Curriculum Structure:

Year 1: Students begin with the foundations of business and quantitative reasoning through courses such as BEPP 1000 Introductory Economics for Business Students, WH 1010 Business and You, and MATH 1400 Calculus, Part I or MATH 1070. They also begin Wharton’s business fundamentals and statistics preparation, establishing the mathematical and business context needed for later analytics coursework.

Year 2: Students develop broader business knowledge through courses such as WH 2010 Business Communication for Impact, while completing additional business fundamentals and quantitative coursework. The curriculum builds knowledge in areas such as accounting, finance, management, marketing, operations, information and decisions, and statistics, giving students a strong foundation for applying analytics across business functions.

Year 3: Students move more deeply into the Business Analytics concentration while completing MGMT 3010 Teamwork and Interpersonal Influence and their remaining Wharton requirements. Depending on their choices, students can study areas such as OIDD 3150 Databases for Analytics, OIDD 4770 Introduction to Python for Data Science, STAT 4220 Predictive Analytics for Business, or STAT 4050 Statistical Computing with R.

Year 4: Students complete advanced concentration requirements and the Wharton Leadership Journey capstone while developing specialized analytical expertise. Options include OIDD 2210 Optimization and Analytics, STAT 4230 Applied Machine Learning in Business, STAT 4710 Modern Data Mining, ESE 3060 Deep Learning: A Hands-on Introduction, and OIDD 3800 Operations Analytics Capstone, allowing students to tailor the degree toward areas such as machine learning, optimization, operations, finance, marketing, or data science.

Focus areas: Business analytics, data science, statistical analysis, data collection, predictive analytics, machine learning, optimization, decision-making, databases, Python, R, operations analytics, finance analytics, marketing analytics, artificial intelligence, business intelligence

Learning outcomes: Students develop the ability to collect, manage, describe, analyze, and interpret business datasets; form statistical inferences and predictions; apply optimization and quantitative models; and use analytical evidence to support robust business decisions. The curriculum also develops communication, teamwork, business judgment, and the ability to apply analytics across different functional areas.

Professional alignment (accreditation): The Business Analytics BS is part of Wharton’s undergraduate Bachelor of Science in Economics structure and is offered through the Business Analytics joint concentration between the Operations, Information and Decisions and Statistics departments. The Wharton School is accredited by AACSB International, providing an established quality framework for business education.

Reputation (employability rankings): Penn Career Services maintains undergraduate first-destination reporting that can be explored by school, major/concentration, industry, employers, job titles, salaries, and graduate-school outcomes. Wharton also reports dedicated career resources and outcomes for its undergraduate students; the university does not publish a separate QS/Guardian ranking specifically for the Business Analytics concentration.

Experiential Learning (Research, Projects, Internships etc.)

The program gives students multiple opportunities to move beyond classroom theory and apply analytics to realistic business problems. Concentration options include hands-on subjects such as OIDD 3150 Databases for Analytics, which involves SQL and analytical work with databases, and OIDD 2210 Optimization and Analytics, where students apply quantitative models to real-world problems including portfolio management, airline revenue management, manufacturing, advertising allocation, and healthcare scheduling.

Wharton also provides structured opportunities to work with organizations and industry professionals, giving Business Analytics students ways to test analytical thinking in practical settings:

OIDD 3150 Databases for Analytics: Students learn SQL and use it to analyze existing and self-created databases, with the course described by Penn as nearly entirely hands-on coding.
OIDD 2210 Optimization and Analytics: Students work with linear, nonlinear and discrete optimization, dynamic programming, and simulation and apply these techniques to business decision problems.
OIDD 4770 Introduction to Python for Data Science: Students can develop Python-based data-science skills as part of the Business Analytics concentration.
STAT 4050 Statistical Computing with R: Provides an option to build practical statistical-computing skills using R.
OIDD 3800 Operations Analytics Capstone: The concentration includes this capstone among its approved advanced analytics options, giving students an opportunity to integrate analytics and operations knowledge.
Industry Immersion Pop-Up Projects: Wharton offers short-term, applied, team-based projects focused on real-world business challenges. Recent projects have included work connected with organizations such as the Philadelphia Phillies and Campbell’s.
Wharton Industry Exploration Program: W3i domestic courses connect students with leading firms in the United States, alumni, and business professionals while exposing students to current business challenges and practices.
Career Readiness @ Wharton: First-year students can develop career exploration and job-search skills through Wharton’s professional-development programming.
Wharton Customer Analytics Initiative: The Business Analytics concentration identifies the Wharton Customer Analytics Initiative as a collaborating venture that offers opportunities for students with Business Analytics skills.
Penn Wharton Entrepreneurship: Wharton’s undergraduate career resources connect students with entrepreneurship opportunities alongside internships, jobs, advising, and professional development.

Progression & Future Opportunities

The Business Analytics BS prepares students for data-focused roles across the business world, particularly careers involving the management, analysis, interpretation, and application of data to business decisions. Penn specifically identifies Business Analytics students as well suited to the growing range of data-science careers, while the concentration can also complement functional areas such as finance, marketing, accounting, and operations.

Typical career directions include:

Business Analyst
Data Analyst
Data Scientist
Business Intelligence Analyst

Students can strengthen their progression into these areas through Penn’s career and industry resources:

Wharton Career Services: Students have access to career advising, Handshake, employer connections, internships, career-readiness programming, and professional-development resources.
Industry engagement: W3i connects students with leading firms, alumni, and professionals through industry exploration and applied projects, while Industry Immersion Pop-Up Projects involve team-based work on real-world business challenges.
Analytics-focused preparation: Courses such as OIDD 3150 Databases for Analytics, OIDD 4770 Introduction to Python for Data Science, STAT 4220 Predictive Analytics for Business, and STAT 4230 Applied Machine Learning in Business provide technical preparation relevant to analytics and data-science careers.
Career and graduation outcomes: Penn Career Services provides an interactive undergraduate first-destination tool that can be filtered by class year, school, major/concentration, employers, job titles, industries, salaries, and graduate-school destinations.
Salary information: Penn's official outcomes system provides salary information by career field and job function where sufficient data are available; Penn does not publish a single Business Analytics BS-specific starting-salary figure on the program page.
University–industry engagement: Wharton’s W3i program works with firms and institutions on practical business challenges, while the Business Analytics concentration identifies the Wharton Customer Analytics Initiative as a collaborating venture.
Accreditation value: Wharton is AACSB-accredited, providing an internationally recognized quality framework for business education that continues to be relevant as graduates progress into business careers and further study.
Graduation pathways: Penn's outcome reporting tracks employment, graduate education, employers, job titles, industries, and other first destinations, allowing students and prospective students to explore outcomes beyond a single employment statistic.

Further Academic Progression:
Graduates can continue into master's or doctoral study in areas such as business analytics, data science, statistics, operations research, computer science, information systems, economics, finance, marketing analytics, or related quantitative disciplines. The strong combination of business fundamentals and analytical training also provides a foundation for specialized graduate programs where advanced statistical, computational, optimization, or management expertise is required.