To complete the statistics concentration, students should take STAT 1010, STAT 1020, STAT 4300 and at least three additional credit units from courses offered by the Department of Statistics and Data Science. Alternatively students may take STAT 4300, STAT 4310 and at least four additional credit units from courses offered by the Department of Statistics and Data Science. Math 1080, Math 1410, or Math 1610 is required as a prerequisite for STAT 4300 as well as the concentration.
Required for all concentrations:
STAT 4300: Introductory Probability
Elective Courses:
STAT 4050 Statistical Computing with R (0.5 CUs)
STAT 4100 Data Collection and Acquisition (0.5 CUs)
STAT 4220 Predictive Analytics (0.5 CUs)
STAT 4230 Applied Machine Learning in Business
STAT 4240 Text Analytics (0.5 CUs)
STAT 4320 Mathematical Statistics (STAT 5120)
STAT 4330 Stochastic Processes
STAT 4350/5350 Forecasting Methods for Management
STAT 4420 Introduction to Bayesian Data Analysis
STAT 4700 Data Analytics and Statistical Computing (STAT 5030)
STAT 4710 Modern Data Mining (STAT 5710)
STAT 4740 Modern Regression (STAT 9740)
STAT 4750 Sample Survey Design
STAT 4760 Applied Probability Models in Marketing
STAT 4770 Introduction to Python for Data Science (0.5 CUs or 1 CU – STAT 4770 Introduction to Python for Data Science (0.5 CUs or 1 CU – the format of the course varies depending on the semester and instructor)
STAT 4810 Convex Optimization for Statistics and Data Science (STAT 5810)
STAT 4830 Numerical Optimization for Data Science and Machine Learning
STAT 4900 Causal Inference (STAT 5900)
STAT 5150 Advanced Statistical Inference I (Recommended for seniors; instructor permission is needed to take the course)
STAT 5200 Applied Econometrics I
STAT 5210 Applied Econometrics II
STAT 5420 Bayesian Methods and Computation
STAT 9300 Advanced Probability Theory
STAT 9310 Advanced Stochastic Processes
STAT 9610 Statistical Methodology
Notes:
Any course not listed above will require the prior approval of the Undergraduate Chair/Concentration Advisor.
Students may not take BOTH Stat 1020 and Stat 4310.
FREQUENTLY ASKED QUESTIONS:
- I am interested in a quantitative career on Wall Street. Is there any sequence of courses that I should take? What should I take first?
It is probably best that you take the 4300-4310 sequence to fulfill your Business Fundamentals. These courses are more mathematically sophisticated than 1010-1020, although they do spend less time in applied data analysis. Statistics 4330 is an excellent first course towards the fulfillment of your elective requirement. It is recommended that you take an intermediate level applied course which will introduce you to serious statistical computing (like Stat 4710 or even Stat 9610). - I am more interested in Marketing than Finance. What course sequence is most appropriate?
You should start with 1010-1020, followed by Stat 4300, 4710 and 4760. Stat 4750 would be a good way to complete the Concentration, for example. - Can Stat 4310 count towards the Concentration?
Stat 4310 can count as a Business Fundamental but never as an elective. Stat 4300 can count as either a Business Fundamental OR an elective (but not both).
—-Please do not e-mail Professor Low or Lin with questions about getting into a course or your position on any waitlists.
—-If a course is restricted, then the instructor maintains the waitlist and decides who to admit. Contact info can be found in the Penn Directory: https://www.upenn.edu/directories. If a course is full, then you can go to https://penncoursealert.com/ to get notified if seats open up.
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Statistics Concentration Advisors
Dr. Mark Low
425 Academic Research Building
265 South 37th Street
Philadelphia, PA 19104
lowm@wharton.upenn.edu
Dr. Winston Lin
435 Academic Research Building
265 South 37th Street
Philadelphia, PA 19104
linston@wharton.upenn.edu