Statistics (B.S.)
Required course work includes the university requirements (see regulation J-3) and:
| Code | Title | Hours |
|---|---|---|
| MATH 170 | Calculus I | 4 |
| MATH 175 | Calculus II | 4 |
| MATH 275 | Calculus III | 3 |
| MATH 330 | Linear Algebra | 3 |
| Select one of the following options: | 39-58 | |
| Total Hours | 53-72 | |
A. General Option
| Code | Title | Hours |
|---|---|---|
| STAT 301 | Probability and Statistics | 3 |
| STAT 407 | Experimental Design | 3 |
| STAT 422 | Survey Sampling Methods | 3 |
| STAT 431 | Statistical Analysis | 3 |
| STAT 436 | Applied Regression Modeling | 3 |
| STAT 451 | Probability Theory | 3 |
| STAT 452 | Mathematical Statistics | 3 |
| Select two of the following: | 6 | |
| Computer Science I | ||
| Introduction to Data Science in Python | ||
| SAS Programming | ||
| R Programming | ||
Other approved courses | ||
| Select 12 credits from the following: | 12 | |
| Data Science | ||
| Ordinary Differential Equations | ||
| Numerical Methods | ||
| Mathematical Biology | ||
| Mathematical Modeling | ||
| Introduction to Analysis I | ||
| Foundations of Machine Learning | ||
| Data Management for Big Data | ||
| Nonparametric Statistics | ||
| Statistical Learning and Predictive Modeling | ||
| Multivariate Analysis | ||
| Econometrics | ||
| Introduction to Bayesian Statistics | ||
| Enterprise Quality Management | ||
| Nonparametric Statistics | ||
| Statistical Learning and Predictive Modeling | ||
| Introduction to Bayesian Statistics | ||
| Total Hours | 39 | |
Courses to total 120 Credits for this degree
B. Actuarial Science and Finance Option
| Code | Title | Hours |
|---|---|---|
| Math Courses | ||
| MATH 310 | Ordinary Differential Equations | 3 |
| MATH 451 | Probability Theory | 3 |
| MATH 452 | Mathematical Statistics | 3 |
| 400-level MATH courses: Three additional courses chosen from MATH course numbered 400 and above. May include STAT 422. | 9 | |
| Supporting Courses | ||
| ACCT 201 | Introduction to Financial Accounting | 3 |
| ACCT 202 | Introduction to Managerial Accounting | 3 |
| CS 112 | Computational Thinking and Problem Solving | 3-4 |
| or CS 120 | Computer Science I | |
| FIN 301 | Financial Resources Management | 3 |
| STAT 251 | Statistical Methods | 3 |
| or STAT 301 | Probability and Statistics | |
| STAT 426 | SAS Programming | 3 |
| or STAT 427 | R Programming | |
| or MATH 183 | Introduction to Data Science in Python | |
| STAT 431 | Statistical Analysis | 3 |
| STAT 433 | Econometrics | 3 |
| or STAT 436 | Applied Regression Modeling | |
| Select one of the following: | 4-6 | |
| Principles of Macroeconomics and Principles of Microeconomics | ||
| Foundations of Economic Analysis | ||
| Select three courses from the following: | 7-9 | |
| Intermediate Macroeconomic Analysis | ||
| Intermediate Microeconomic Analysis | ||
| Intermediate Financial Management | ||
| International Finance | ||
| Security Analysis | ||
| Portfolio Management | ||
| Derivatives and Risk Management | ||
| Introduction to Market Trading | ||
| Risk and Insurance | ||
| Applied Actuarial Science | ||
| Foundations of Machine Learning | ||
| Total Hours | 53-58 | |
Courses to total 120 credits for this degree
General Option
| Fall Term 1 | Hours | |
|---|---|---|
| ENGL 101 | Writing and Rhetoric I | 3 |
| MATH 143 | College Algebra | 3 |
| Scientific Ways of Knowing Course | 4 | |
| Oral Communication Course | 3 | |
| Elective Course | 1 | |
| Hours | 14 | |
| Spring Term 1 | ||
| ENGL 102 | Writing and Rhetoric II | 3 |
| MATH 144 | Analytic Trigonometry | 1 |
| MATH 170 | Calculus I | 4 |
| Scientific Ways of Knowing Course | 4 | |
| Humanistic and Artistic Ways of Knowing Course | 3 | |
| Hours | 15 | |
| Fall Term 2 | ||
| MATH 175 | Calculus II | 4 |
| Humanistic and Artistic Ways of Knowing Course | 3 | |
| Social and Behavioral Ways of Knowing Course | 3 | |
| Elective Course | 3 | |
| Elective Course | 3 | |
| Hours | 16 | |
| Spring Term 2 | ||
| MATH 275 | Calculus III | 3 |
| MATH 330 | Linear Algebra | 3 |
| STAT 301 | Probability and Statistics | 3 |
| Social and Behavioral Ways of Knowing Course | 3 | |
| Elective Course | 3 | |
| Hours | 15 | |
| Fall Term 3 | ||
| STAT 422 | Survey Sampling Methods | 3 |
| STAT 431 | Statistical Analysis | 3 |
| American Diversity Course | 3 | |
| CS 479 OR MATH 310 OR MATH 428 OR MATH 437 OR MATH 438 OR MATH 471 OR MATH 483 OR MIS 455 OR STAT 414 OR STAT 417 OR STAT 418 OR STAT 433 OR STAT 435 OR STAT 456 OR STAT 514 OR STAT 517 OR STAT 535 | 3 | |
| CS 120 OR MATH 183 OR STAT 426 OR STAT 427 | 3 | |
| Hours | 15 | |
| Spring Term 3 | ||
| STAT 407 | Experimental Design | 3 |
| STAT 436 | Applied Regression Modeling | 3 |
| International Course | 3 | |
| CS 120 OR STAT 426 OR STAT 427 | 3 | |
| CS 479 OR MATH 310 OR MATH 428 OR MATH 437 OR MATH 438 OR MATH 471 OR MATH 483 OR MIS 455 OR STAT 414 OR STAT 417 OR STAT 418 OR STAT 433 OR STAT 435 OR STAT 456 OR STAT 514 OR STAT 517 OR STAT 535 | 3 | |
| Hours | 15 | |
| Fall Term 4 | ||
| STAT 451 | Probability Theory | 3 |
| Elective Course | 3 | |
| Elective Course | 3 | |
| Elective Course | 3 | |
| CS 479 OR MATH 310 OR MATH 428 OR MATH 437 OR MATH 438 OR MATH 471 OR MATH 483 OR MIS 455 OR STAT 414 OR STAT 417 OR STAT 418 OR STAT 433 OR STAT 435 OR STAT 456 OR STAT 514 OR STAT 517 OR STAT 535 | 3 | |
| Hours | 15 | |
| Spring Term 4 | ||
| STAT 452 | Mathematical Statistics | 3 |
| MATH 415 | Cryptography | 3 |
| Elective Course | 3 | |
| Elective Course | 3 | |
| CS 479 OR MATH 310 OR MATH 428 OR MATH 437 OR MATH 438 OR MATH 471 OR MATH 483 OR MIS 455 OR STAT 414 OR STAT 417 OR STAT 418 OR STAT 433 OR STAT 435 OR STAT 456 OR STAT 514 OR STAT 517 OR STAT 535 | 3 | |
| Hours | 15 | |
| Total Hours | 120 | |
Actuarial Science and Finance Option
| Fall Term 1 | Hours | |
|---|---|---|
| ENGL 101 | Writing and Rhetoric I | 3 |
| MATH 143 | College Algebra | 3 |
| Scientific Ways of Knowing Course | 4 | |
| Oral Communication Course | 3 | |
| Elective Course | 2 | |
| Hours | 15 | |
| Spring Term 1 | ||
| ENGL 102 | Writing and Rhetoric II | 3 |
| MATH 144 | Analytic Trigonometry | 1 |
| MATH 170 | Calculus I | 4 |
| Scientific Ways of Knowing Course | 4 | |
| (ECON 201 AND ECON 202) | 3 | |
| Hours | 15 | |
| Fall Term 2 | ||
| ACCT 201 | Introduction to Financial Accounting | 3 |
| MATH 175 | Calculus II | 4 |
| Social and Behavioral Ways of Knowing Course | 3 | |
| Humanistic and Artistic Ways of Knowing Course | 3 | |
| CS 112 OR CS 120 | 3 | |
| Hours | 16 | |
| Spring Term 2 | ||
| ACCT 202 | Introduction to Managerial Accounting | 3 |
| MATH 275 | Calculus III | 3 |
| Humanistic and Artistic Ways of Knowing Course | 3 | |
| STAT 251 OR STAT 301 | 3 | |
| (ECON 201 AND ECON 202) | 3 | |
| Hours | 15 | |
| Fall Term 3 | ||
| FIN 301 | Financial Resources Management | 3 |
| MATH 310 | Ordinary Differential Equations | 3 |
| MATH 330 | Linear Algebra | 3 |
| American Diversity Course | 3 | |
| Elective Course | 3 | |
| Hours | 15 | |
| Spring Term 3 | ||
| STAT 426 | SAS Programming or R Programming or Introduction to Data Science in Python | 3 |
| 400 level Mathematics, Major Elective Course | 3 | |
| International Course | 3 | |
| Elective Course | 3 | |
| ECON 351 OR ECON 352 OR FIN 302 OR FIN 381 OR FIN 408 OR FIN 463 OR FIN 464 OR FIN 465 OR FIN 469 OR MATH 455 OR MATH 483 | 3 | |
| Hours | 15 | |
| Fall Term 4 | ||
| MATH 451 | Probability Theory | 3 |
| STAT 431 | Statistical Analysis | 3 |
| 400 level Mathematics, Major Elective Course | 3 | |
| Elective Course | 3 | |
| ECON 351 OR ECON 352 OR FIN 302 OR FIN 381 OR FIN 408 OR FIN 463 OR FIN 464 OR FIN 465 OR FIN 469 OR MATH 455 OR MATH 483 | 3 | |
| Hours | 15 | |
| Spring Term 4 | ||
| MATH 452 | Mathematical Statistics | 3 |
| 400 level Mathematics, Major Elective Course | 3 | |
| ECON 351 OR ECON 352 OR FIN 302 OR FIN 381 OR FIN 408 OR FIN 463 OR FIN 464 OR FIN 465 OR FIN 469 OR MATH 455 OR MATH 483 | 3 | |
| STAT 433 OR STAT 436 | 3 | |
| Elective Course | 2 | |
| Hours | 14 | |
| Total Hours | 120 | |
The degree map is a guide for the timely completion of your curricular requirements. Your academic advisor or department may be contacted for assistance in interpreting this map. This map is not reflective of your academic history or transcript and it is not official notification of completion of degree or certificate requirements. Please contact the Registrar's Office regarding your official degree/certificate completion status.
General Option
- The student can apply fundamental theory in probability and statistical inference.
- The student can apply and evaluate statistical models.
- The student can apply statistical computing skills for data analysis and data science.
- The student can demonstrate effective communication skills.
Actuarial Science and Finance Option
- The student can apply statistical computing skills for data analysis and data science.