Wharton Pre-Baccalaureate Program

Courses by Session

The Wharton Pre-Baccalaureate Program is an academically-intensive opportunity for exceptional high school juniors and seniors to enroll in Wharton online courses.

Participants will learn from Wharton instructors, earn a Wharton transcript, and accrue college credit for each course completed. With six sessions to choose from and built-in academic support, students are encouraged to explore the depth and breadth of Wharton’s business education curriculum with maximum flexibility and the guidance and resources to succeed.

Current/Upcoming Sessions

Academic Year Sessions

Summer Sessions

*Additional courses may be added in the coming months.

“The interactive nature of Negotiations was one of the main factors of my enjoyment as after each homework reading, you got the opportunity to see the theories and strategies in action. I could definitely see myself in a career to do with negotiations in the future!”

— Duncan B., The Netherlands

Course List by Session

Spring 2, 2022: March 14 – April 26

Application Deadline: February 4, 2022

MGMT 0004: Work, Power, and Inequality

Workers and employers clearly have interests in common: unless the firm is economically viable, owners will lose their investments and workers will lose their jobs. However, other interests diverge. What share of firm revenues should go to workers versus investors? How much control should managers have over the organization of work and the treatment of disadvantaged workers? What level of commitment should the firm owe to its workers and workers owe to their employer? MGMT 004 examines the balance of power in the workplace and explores responses to perceived abuses of employer power.  

Via discussion of cases from immigrant shirtwaist sewers’ strike of 1909 to the 2021 union declaration by engineers Google, MGMT-004 examines how political institutions (including labor laws), social movements (like #MeToo), and firm-level strategies (such as race and gender inclusion initiatives) shape workforce structures and inequalities. To assess how national institutions influence productivity, profitability, fairness, and stability, we compare the United States with other countries.  

Meeting Days/Times: Mondays and Wednesdays, 7pm-8:30pm ET
Instructor: Sara Jane McCaffrey
Course Materials Fee: No 

Course Syllabi ❯❯

Summer 1, 2022: May 23 – June 29*

Application Deadline: April 7, 2022

*Additional courses may be added in the coming months

FNCE 0001: Introduction to Financial Markets and the Global Economy

This course aims to provide a timely framework to understand economic recessions and expansions and the financial markets’ response to world events. 

The Covid recession reduced the size of the world’s economies and output. What does this mean? How is output connected to employment? How are exchange rates determined in global capital markets? We will introduce the policy options of government spending. We will discuss, as data become available, the continuing impact of the coronavirus on the domestic and the global economy. 

Meeting Days/Times: Tuesdays and Thursdays, 7am-8:50am ET
Instructor: Gizem Saka
Course Materials Fee: No

Course Syllabi ❯❯

MKTG 0001: Viral Marketing

This course aims to provide a timely framework to understand economic recessions and expansions and the financial markets’ response to world events.

Why do some products catch on and become popular while others fail? Why do apps and services take off while others languish? And why do certain ads, messages, or ideas stick in memory while others disappear the minute you hear them? Diffusion, social media, word of mouth, and viral marketing have become important topics for companies, brands, and organizations. Marketers want their products to be popular, organizations want their social change initiative to catch on, and entrepreneurs want their ideas to stick. This course investigates these and other topics as it explains how things catch on and become popular.  

Meeting Days/Times: Tuesdays, 8am–10am ET
Instructor: Jonah Berger
Course Materials Fee: Yes; $76

Course Syllabi ❯❯

STAT 0001: Introduction to Statistics and Data Science

In this course, we will learn introductory statistics using R with a focus on the application of statistical thinking to business problems. We will learn basic statistical concepts such as mean, variance, quantiles and hypothesis testing, and basic R programming for data management and analysis. We will work with traditional R’s data.frame structure as well as the modern tibbles structure.

Prerequisite: Percentages, average, powers, exponential, linear equation of a line, polynomials.

Meeting Days/Times: Tuesdays and Thursdays, 5pm – 6:50pm ET
Instructor: Shuva Gupta
Course Materials Fee: No

COURSE SYLLABI ❯❯

Summer 2, 2022: June 30 – August 5*

Application Deadline: May 5, 2022

*Additional courses may be added in the coming months

FNCE 0001: Introduction to Financial Markets and the Global Economy

This course aims to provide a timely framework to understand economic recessions and expansions and the financial markets’ response to world events. 

The Covid recession reduced the size of the world’s economies and output. What does this mean? How is output connected to employment? How are exchange rates determined in global capital markets? We will introduce the policy options of government spending. We will discuss, as data become available, the continuing impact of the coronavirus on the domestic and the global economy. 

Meeting Days/Times: Tuesdays and Thursdays, 7am-8:50am ET
Instructor: Gizem Saka
Course Materials Fee: No

Course Syllabi ❯❯

MGMT 0004: Work, Power, and Inequality

Workers and employers clearly have interests in common: unless the firm is economically viable, owners will lose their investments and workers will lose their jobs. However, other interests diverge. What share of firm revenues should go to workers versus investors? How much control should managers have over the organization of work and the treatment of disadvantaged workers? What level of commitment should the firm owe to its workers and workers owe to their employer? MGMT 004 examines the balance of power in the workplace and explores responses to perceived abuses of employer power.

Via discussion of cases from immigrant shirtwaist sewers’ strike of 1909 to the 2021 union declaration by engineers Google, MGMT-004 examines how political institutions (including labor laws), social movements (like #MeToo), and firm-level strategies (such as race and gender inclusion initiatives) shape workforce structures and inequalities. To assess how national institutions influence productivity, profitability, fairness, and stability, we compare the United States with other countries.

Meeting Days/Times: Tuesdays and Thursdays, 1pm – 3pm ET
Instructor: Sara Jane McCaffrey
Course Materials Fee: No

Course Syllabi ❯❯

MKTG 0001: Viral Marketing

This course aims to provide a timely framework to understand economic recessions and expansions and the financial markets’ response to world events.

Why do some products catch on and become popular while others fail? Why do apps and services take off while others languish? And why do certain ads, messages, or ideas stick in memory while others disappear the minute you hear them? Diffusion, social media, word of mouth, and viral marketing have become important topics for companies, brands, and organizations. Marketers want their products to be popular, organizations want their social change initiative to catch on, and entrepreneurs want their ideas to stick. This course investigates these and other topics as it explains how things catch on and become popular.  

Meeting Days/Times: Tuesdays, 10am-12pm ET
Instructor: Jonah Berger
Course Materials Fee: Yes; $76

Course Syllabi ❯❯

MKTG 0002: Consumer Behavior

The purpose of this course is to provide students with working knowledge of the major theories and research findings in the area of consumer behavior. The goal of this course is for students to gain a deeper understanding of the psychologies behind behaviors, judgments, and decision-making, and to gain insight into how to apply them to influence behavior in the marketplace. By the end of this course, students should not only be familiar with a large body of consumer behavior literature, but should also be able to identify theories as they play out in the real world, and be able to apply behavioral principles to a variety of marketing problems. 

Meeting Days/Times: Tuesdays, 8am-10am ET
Instructor: Annie Wilson
Course Materials Fee: No

Course Syllabi ❯❯

OIDD 0001: Prescriptive Analytics: Making Business Decisions using Optimization and Simulation

In this course, we will explore the subject of quantitative business decision making. Specifically, we will study optimization and simulation tools and provide you with a set of key skills in the area of prescriptive analytics. We will illustrate the use of these tools in a variety of business applications, including manufacturing, logistics, inventory management, capital budgeting, insurance, and revenue management. 

Meeting Days/Times: Wednesdays, 9am-11am ET
Instructor: Christian Kaps
Course Materials Fee: Yes; $76 

Course Syllabi ❯❯

STAT 0001: Introduction to Statistics and Data Science

In this course, we will learn introductory statistics using R with a focus on the application of statistical thinking to business problems. We will learn basic statistical concepts such as mean, variance, quantiles and hypothesis testing, and basic R programming for data management and analysis. We will work with traditional R’s data.frame structure as well as the modern tibbles structure.

Prerequisite: Percentages, average, powers, exponential, linear equation of a line, polynomials.

Meeting Days/Times: Tuesdays and Thursdays, 5pm – 6:50pm ET
Instructor: Shuva Gupta
Course Materials Fee: No

COURSE SYLLABI ❯❯ 

STAT 0002: Introduction to Statistics and Data Science

Continuation of STAT 0001.  In this class we will learn basic statistical inference procedures of estimation, confidence intervals, and hypothesis testing.  We will also cover statistical inference of bivariate data, including correlation and simple linear regression models.

Prerequisite: STAT 0001 or equivalent. Basic R knowledge.

Meeting Days/Times: Mondays and Wednesdays, 6pm – 8pm ET
Instructor: Elizabeth Ajazi
Course Materials Fee: No

COURSE SYLLABI ❯❯ 

Fall 1, 2022: August 30 – October 11*

Application Deadline: July 20, 2022

*Course list TBD

Fall 2, 2022: October 24 – December 8*

Application Deadline: September 14, 2022

*Course list TBD

Spring 1, 2023: January 17 – February 27*

Application Deadline: November 30, 2022

*Course list TBD