Statistics (B.S.)
Required course work includes the university requirements (see regulation J-3) and:
| Code | Title | Hours |
|---|---|---|
| MATH 1170 | Calculus I | 4 |
| MATH 1750 | Calculus II | 4 |
| MATH 2750 | Calculus III | 3 |
| MATH 3300 | Linear Algebra | 3 |
| Select one of the following options: | 39-58 | |
| Total Hours | 53-72 | |
A. General Option
| Code | Title | Hours |
|---|---|---|
| STAT 3010 | Probability and Statistics | 3 |
| STAT 4070 | Experimental Design | 3 |
| STAT 4220 | Survey Sampling Methods | 3 |
| STAT 4310 | Statistical Analysis | 3 |
| STAT 4360 | Applied Regression Modeling | 3 |
| STAT 4510 | Probability Theory | 3 |
| STAT 4520 | 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 Management for Big Data | ||
| Data Science | ||
| Ordinary Differential Equations | ||
| Numerical Methods | ||
| Mathematical Biology | ||
| Mathematical Modeling | ||
| Introduction to Analysis I | ||
| Foundations of Machine Learning | ||
| Nonparametric Statistics | ||
| Statistical Learning and Predictive Modeling | ||
| Multivariate Analysis | ||
| Econometrics | ||
| Introduction to Bayesian Statistics | ||
| Enterprise Quality Management | ||
| Total Hours | 39 | |
Courses to total 120 Credits for this degree
B. Actuarial Science and Finance Option
| Code | Title | Hours |
|---|---|---|
| Math Courses | ||
| MATH 3100 | Ordinary Differential Equations | 3 |
| MATH 4510 | Probability Theory | 3 |
| MATH 4520 | Mathematical Statistics | 3 |
| 4000-level MATH courses: Three additional courses chosen from MATH course numbered 4000 and above. May include STAT 4220. | 9 | |
| Supporting Courses | ||
| ACCT 2010 | Introduction to Financial Accounting | 3 |
| ACCT 2020 | Introduction to Managerial Accounting | 3 |
| FIN 3010 | Financial Resources Management | 3 |
| STAT 2510 | Statistical Methods | 3 |
| or STAT 3010 | Probability and Statistics | |
| STAT 4310 | Statistical Analysis | 3 |
| STAT 4330 | Econometrics | 3 |
| or STAT 4360 | Applied Regression Modeling | |
| Select two course from the following: | 6 | |
| Computer Science I | ||
| Introduction to Data Science in Python | ||
| SAS Programming | ||
| R Programming | ||
| 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 | 53-57 | |
Courses to total 120 credits for this degree
General Option
| Fall Term 1 | Hours | |
|---|---|---|
| ENGL 1101 | Writing and Rhetoric I | 3 |
| MATH 1143 | Precalculus I: Algebra | 3 |
| Scientific Ways of Knowing Course | 4 | |
| Oral Communication Course | 3 | |
| Elective Course | 1 | |
| Hours | 14 | |
| Spring Term 1 | ||
| ENGL 1102 | Writing and Rhetoric II | 3 |
| MATH 1144 | Precalculus II: Trigonometry | 1 |
| MATH 1170 | Calculus I | 4 |
| Scientific Ways of Knowing Course | 4 | |
| Humanistic and Artistic Ways of Knowing Course | 3 | |
| Hours | 15 | |
| Fall Term 2 | ||
| MATH 1750 | 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 2750 | Calculus III | 3 |
| MATH 3300 | Linear Algebra | 3 |
| STAT 3010 | Probability and Statistics | 3 |
| Social and Behavioral Ways of Knowing Course | 3 | |
| Elective Course | 3 | |
| Hours | 15 | |
| Fall Term 3 | ||
| STAT 4220 | Survey Sampling Methods | 3 |
| STAT 4310 | Statistical Analysis | 3 |
| American Experience Course | 3 | |
| BIA 4550 or CS 4621 or MATH 3100 or MATH 4280 or MATH 4370 or MATH 4380 or MATH 4710 or MATH 4830 or STAT 4140 or STAT 4170 or STAT 4180 or STAT 4330 or STAT 4350 or STAT 4560 | 3 | |
| CS 1120 or MATH 1830 or STAT 4260 or STAT 4270 | 3 | |
| Hours | 15 | |
| Spring Term 3 | ||
| STAT 4070 | Experimental Design | 3 |
| STAT 4360 | Applied Regression Modeling | 3 |
| International Course | 3 | |
| CS 1120 or STAT 4260 or STAT 4270 | 3 | |
| BIA 4550 or CS 4621 or MATH 3100 or MATH 4280 or MATH 4370 or MATH 4380 or MATH 4710 or MATH 4830 or STAT 4140 or STAT 4170 or STAT 4180 or STAT 4330 or STAT 4350 or STAT 4560 | 3 | |
| Hours | 15 | |
| Fall Term 4 | ||
| STAT 4510 | Probability Theory | 3 |
| Elective Course | 3 | |
| Elective Course | 3 | |
| Elective Course | 3 | |
| BIA 4550 or CS 4621 or MATH 3100 or MATH 4280 or MATH 4370 or MATH 4380 or MATH 4710 or MATH 4830 or STAT 4140 or STAT 4170 or STAT 4180 or STAT 4330 or STAT 4350 or STAT 4560 | 3 | |
| Hours | 15 | |
| Spring Term 4 | ||
| STAT 4520 | Mathematical Statistics | 3 |
| MATH 4150 | Cryptography | 3 |
| Elective Course | 3 | |
| Elective Course | 3 | |
| BIA 4550 or CS 4621 or MATH 3100 or MATH 4280 or MATH 4370 or MATH 4380 or MATH 4710 or MATH 4830 or STAT 4140 or STAT 4170 or STAT 4180 or STAT 4330 or STAT 4350 or STAT 4560 | 3 | |
| Hours | 15 | |
| Total Hours | 120 | |
Actuarial Science and Finance Option
| Fall Term 1 | Hours | |
|---|---|---|
| ENGL 1101 | Writing and Rhetoric I | 3 |
| MATH 1143 | Precalculus I: Algebra | 3 |
| Scientific Ways of Knowing Course | 4 | |
| Oral Communication Course | 3 | |
| Elective Course | 2 | |
| Hours | 15 | |
| Spring Term 1 | ||
| ENGL 1102 | Writing and Rhetoric II | 3 |
| ECON 2201 or ECON 2202 | Principles of Macroeconomics or Principles of Microeconomics | 3 |
| MATH 1144 | Precalculus II: Trigonometry | 1 |
| MATH 1170 | Calculus I | 4 |
| Scientific Ways of Knowing Course | 4 | |
| Hours | 15 | |
| Fall Term 2 | ||
| ACCT 2010 | Introduction to Financial Accounting | 3 |
| MATH 1750 | Calculus II | 4 |
| Social and Behavioral Ways of Knowing Course | 3 | |
| Humanistic and Artistic Ways of Knowing Course | 3 | |
| Elective Course | 3 | |
| Hours | 16 | |
| Spring Term 2 | ||
| ACCT 2020 | Introduction to Managerial Accounting | 3 |
| ECON 2201 or ECON 2202 | Principles of Macroeconomics or Principles of Microeconomics | 3 |
| MATH 2750 | Calculus III | 3 |
| Humanistic and Artistic Ways of Knowing Course | 3 | |
| STAT 2510 or STAT 3010 | 3 | |
| Hours | 15 | |
| Fall Term 3 | ||
| FIN 3010 | Financial Resources Management | 3 |
| MATH 3100 | Ordinary Differential Equations | 3 |
| MATH 3300 | Linear Algebra | 3 |
| American Experience Course | 3 | |
| Elective Course | 3 | |
| Hours | 15 | |
| Spring Term 3 | ||
| STAT 4260 | SAS Programming or R Programming or Introduction to Data Science in Python or Computer Science I | 3 |
| 4000-level Mathematics, Major Elective Course | 3 | |
| International Course | 3 | |
| Elective Course | 3 | |
| ECON 3510 or ECON 3520 or FIN 3020 or FIN 3810 or FIN 4080 or FIN 4630 or FIN 4640 or FIN 4650 or FIN 4690 or MATH 4550 or MATH 4830 | 3 | |
| Hours | 15 | |
| Fall Term 4 | ||
| MATH 4510 | Probability Theory | 3 |
| STAT 4310 | Statistical Analysis | 3 |
| 4000-level Mathematics, Major Elective Course | 3 | |
| Elective Course | 3 | |
| ECON 3510 or ECON 3520 or FIN 3020 or FIN 3810 or FIN 4080 or FIN 4630 or FIN 4640 or FIN 4650 or FIN 4690 or MATH 4550 or MATH 4830 | 3 | |
| Hours | 15 | |
| Spring Term 4 | ||
| MATH 4520 | Mathematical Statistics | 3 |
| 4000-level Mathematics, Major Elective Course | 3 | |
| ECON 3510 or ECON 3520 or FIN 3020 or FIN 3810 or FIN 4080 or FIN 4630 or FIN 4640 or FIN 4650 or FIN 4690 or MATH 4550 or MATH 4830 | 3 | |
| STAT 4330 or STAT 4360 | 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.