The B.S. program in Statistics and Data Science at Lehigh University provides a body of principles for designing the process of data collection, for summarizing and interpreting data, and for drawing valid conclusions from data. Mathematical principles, especially probability theory, underlie all statistical analyses. Statistics forms a fundamental tool in the natural and social sciences as well as business, medicine and other areas of research.
This program offers two tracks: a standard track and an applied track, as well as a concentration in Actuarial Science.
Standard Track Requirements
Required Major courses
- MATH 021 Calculus I (4)
or MATH 051 Survey of Calculus I
or MATH 081 Calculus with Business Applications I - MATH 022 Calculus II (3-4)
or MATH 052 Survey of Calculus II
or MATH 082 Calculus with Business and Economics Applications II - MATH 264 Introduction to Statistical Reasoning and Methods (4)
- Select one of the following (+): (3-4)
- MATH 205 Linear Methods
- MATH 241/STAT 342 Applied Linear Algebra
- MATH 242 Linear Algebra
(+) MATH 241 is recommended. For students who may need more preparation, MATH 205 can be used as a major elective.
- MATH 263 Introduction to the Theory of Probability (3)
or MATH 309 Probability with Applications and Simulations - MATH 310 Random Processes and Applications (3-4)
- MATH 312 Statistical Computing and Applications (3-4)
- MATH 334 Mathematical Statistics (3-4)
- MATH 338 Statistical Models in Data Science (3-4)
- MATH 365 Statistical Machine Learning (3-4)
- MATH 374 Statistical Project (3)
Two approved (*) CSE courses. (5-7)
(*) Computer sciences courses must include a programming component. They are approved by the major advisor. The CSE requirement is waived for students with a minor in Computer Science.
Major Electives
At least two courses with specific mathematical or statistical content chosen with the approval of the faculty advisor (8)
Professional Electives
Courses selected from two or three fields of application of statistics and probability with the approval of the faculty advisor (#) 15
(#) Courses taken as part of a minor can be used as professional electives.
Total Credits: 63-72
The Writing Intensive requirement is achieved by MATH 374.
Applied Track Requirements
Required Major courses
- MATH 021 Calculus I (4)
or MATH 051 Survey of Calculus I
or MATH 081 Calculus with Business Applications I - MATH 022 Calculus II (3-4)
or MATH 052 Survey of Calculus II
or MATH 082 Calculus with Business and Economics Applications II - MATH 264 Introduction to Statistical Reasoning and Methods (4)
- Select one of the following (+): (3-4)
- MATH 205 Linear Methods
- MATH 241/STAT 342 Applied Linear Algebra
- MATH 242 Linear Algebra
(+) MATH 241 is recommended. For students who may need more preparation, MATH 205 can be used as a major elective.
- MATH 309 Probability with Applications and Simulations (3)
- MATH 312 Statistical Computing and Applications (3-4)
- MATH 334 Mathematical Statistics (3-4)
- MATH 339 Time Series and Forecasting (3-4)
- MATH 365 Statistical Machine Learning (3-4)
- MATH 374 Statistical Project (3)
Two approved (*) CSE courses. (5-7)
(*) Computer sciences courses must include a programming component. They are approved by the major advisor. The CSE requirement is waived for students with a minor in Computer Science.
Major Electives
At least three courses with specific mathematical or statistical content chosen with the approval of the faculty advisor (12)
Professional Electives
Courses selected from two or three fields of application of statistics and probability with the approval of the faculty advisor (#) (15)
(#) Courses taken as part of a minor can be used as professional electives.
Total Credits: 64-72
The Writing Intensive requirement is achieved by MATH 374.
Concentration in Actuarial Science Requirements
Major Electives must include:
- MATH 202 Actuarial Exam I (1)
- MATH 203 Actuarial Exam II - Financial Mathematics (2)
Professional Electives (15 credit hours) must include at least three of these courses:
- ACCT 151 Introduction to Financial Accounting (3)
- ECO 119 Intermediate Macroeconomic Analysis (3)
- ECO 146 Intermediate Microeconomic Analysis (3)
- FIN 125 Introduction to Finance (3)