Business Analytics, BS
The Business Analytics joint concentration between the OID and STAT departments is designed to build deep competency in the skills needed to implement and oversee data-driven business decisions, including (i) collecting, managing, and describing datasets, (ii) forming inferences and predictions from data, and (iii) making optimal and robust decisions. Business analytics makes extensive use of statistical analysis, and the applications of business analytics span all functional areas.
Students choosing the Business Analytics concentration are ideally suited for the growing set of careers broadly defined under the header of “data science” with responsibilities for managing and analyzing data. In addition, the concentration provides an excellent complement to students who choose to focus on one of the functional areas of business (e.g., accounting, finance, marketing, operations).
For more information: https://oid.wharton.upenn.edu/programs/undergraduate/business-analytics-joint-concentration/
Business Analytics Concentration
| Code | Title | Course Units |
|---|---|---|
| Complete one course unit of Advanced Data Analysis competency | 1 | |
| Forensic Analytics | ||
| Applied Data Analysis. | ||
| Applied Machine Learning 1 | ||
| Machine Learning 1 | ||
| Big Data Analytics | ||
| Foundations of Data Science | ||
| Data and Analysis for Marketing Decisions | ||
| Models for Marketing Strategy | ||
| Special Topics: Experiments for Business Decision Making | ||
| Special Topics - Marketing Analytics | ||
| Applied Probability Models in Marketing | ||
| Intro to Analytics and the Digital Economy | ||
| Analytics and the Digital Economy | ||
| Enabling Technologies | ||
| Decision Support Systems | ||
| Statistical Computing with R | ||
| Predictive Analytics for Business | ||
| Forecasting Methods for Management | ||
| Data Analytics and Statistical Computing | ||
| Modern Data Mining | ||
| Modern Regression for the Social, Behavioral and Biological Sciences | ||
| Sample Survey Design | ||
| Applied Econometrics I | ||
| Complete one course unit of Data Collection competency | 1 | |
| Forensic Analytics | ||
| Database and Information Systems | ||
| Big Data Analytics | ||
| Special Topics: Experiments for Business Decision Making | ||
| Special Topics - Marketing Analytics | ||
| Developing Tools for Data Access and Analysis (VBA and SQL Programming) | ||
| Intro to Analytics and the Digital Economy | ||
| Analytics and the Digital Economy | ||
| Business Computer Languages | ||
| Enabling Technologies | ||
| Statistical Computing with R | ||
| Predictive Analytics for Business | ||
| Data Analytics and Statistical Computing | ||
| Modern Data Mining | ||
| Sample Survey Design | ||
| Complete one course unit of Optimization competency | 1 | |
| Intro to Linear, Nonlinear and Integer Optimization | ||
| Technology Management, Information and the Digital Economy | ||
| Analytics for Service Operations | ||
| Scaling Operations in Technology Ventures: Linking Strategy and Execution | ||
| Analytics and the Digital Economy | ||
| Introduction to Management Science | ||
| Computer Simulation Models | ||
| Mathematical Modeling and its Application in Finance | ||
| Forecasting Methods for Management | ||
| Complete one additional course unit from above BUAN electives or the equivalent from the following: | 1 | |
| Big Data, Big Responsibilities: The Law and Ethics of Business Analytics | ||
| Advanced Decision Systems: Evolutionary Computation | ||
| Operations Strategy Practicum | ||
| Other Wharton Requirements | 33 | |
| Total Course Units | 37 | |
| 1 | Students can count only one of the two courses (CIS 419/519 or CIS 520) towards the Business Analytics concentration. |
Other Wharton Requirements
| Code | Title | Course Units |
|---|---|---|
| First-Year Foundations | ||
| ECON 010 | Introduction to Economics for Business 1 | 1 |
| MATH 104 | Calculus, Part I | 1 |
| or MATH 110 | Calculus for Wharton Students | |
| Writing | ||
| Critical Writing Seminar | 1 | |
| Business | ||
| Business Breadth (non-concentration courses) | 3 | |
| Leadership Journey | ||
| WH 101 | Business and You | 0.5 |
| WH 201 | Business Communication for Impact | 0.5 |
| WH 301 | 0.5 | |
| Capstone Course/Project | 0.5 | |
| Fundamentals | ||
| ACCT 101 | Accounting and Financial Reporting | 1 |
| ACCT 102 | Strategic Cost Analysis | 1 |
| BEPP 250 | Managerial Economics | 1 |
| FNCE 100 | Corporate Finance | 1 |
| FNCE 101 | Monetary Economics and the Global Economy | 1 |
| LGST 100 | Ethics and Social Responsibility | 1 |
| or LGST 101 | Law and Social Values | |
| MGMT 101 | Introduction To Management | 1 |
| MKTG 101 | Introduction to Marketing | 1 |
| OIDD 101 | An Introduction to Operations, Information and Decisions | 1 |
| STAT 101 | Introductory Business Statistics | 1 |
| STAT 102 | Introductory Business Statistics | 1 |
| Global Economy, Business & Society | ||
| One course unit required | 1 | |
| Technology, Innovation & Analytics | ||
| One course unit required | 1 | |
| Liberal Arts & Sciences | ||
| Second semester-level foreign language | ||
| General Education Distribution | ||
| Select 6 courses with at least 1 course unit in each of the following categories: | 6 | |
Humanities | ||
Natural Science, Math & Engineering | ||
Social Science | ||
| Cross-Cultural Perspectives | ||
| Select 3 courses 2 | 3 | |
| Unrestricted Electives | ||
| Select five courses | 5 | |
| Total Course Units | 33 | |
| 1 | For students who take ECON 001 Introduction to Micro Economics and ECON 002 Introductory Economics: Macro in place of ECON 010 Introduction to Economics for Business of these courses can be slotted for ECON 010 on the worksheet. The second course may be used to fulfill a General Education Distribution or Unrestricted Elective requirement. |
| 2 | Two can double-count as General Education Distribution courses. |
The degree and major requirements displayed are intended as a guide for students entering in the Fall of 2020 and later. Students should consult with their academic program regarding final certifications and requirements for graduation.