Mathematics: Statistics/Actuarial Science B.A.
Mathematics: Statistics/Actuarial Science Major
The B.A. Mathematics: Statistics/Actuarial Science major requires a minimum of 120 total hours to graduate. This total includes UNIFI/General Education requirements and the following specified major requirements, plus electives to complete the minimum of 120 hours.
The major is available in two emphases, the Statistics emphasis and the Actuarial Science emphasis. Each emphasis requires completion of the common core, the seminar/research requirement, the core for the chosen emphasis (Statistics or Actuarial Science), and 6 hours of electives that do not duplicate course work chosen to meet the chosen emphasis (Statistics or Actuarial Science) core requirement.
| Required | ||
| Mathematics: | ||
| Common core: | 15 | |
| Calculus I * | ||
| Calculus II | ||
| Calculus III | ||
| Linear Algebra for Applications | ||
| Statistics/Actuarial Science core: | 9 | |
| Introduction to Statistical Methods | ||
or STAT 1774 | Introductory Statistics for Life Sciences | |
| Introduction to Probability | ||
| Introduction to Mathematical Statistics | ||
| Computer Programming: | 3-4 | |
Select one of the following: | ||
| C/C++ Programming | ||
| Introduction to Computing | ||
| Statistical Computing I | ||
| Seminar/research: | 1-3 | |
| Senior Mathematics Seminar | ||
or MATH 4990 | Undergraduate Research in Mathematics | |
| Select and complete ONE of the following Emphasis Core: | 9 | |
| Statistics Emphasis Core: | ||
Select three from the following: | ||
| Applied Statistical Methods for Research | ||
| Regression Analysis | ||
| Design and Analysis of Experiments | ||
| Applied Multivariate Statistical Analysis | ||
| Statistical Computing II | ||
| Introduction to Machine Learning | ||
| Statistics for Risk Modeling | ||
| Actuarial Science Emphasis Core: | ||
Select three from the following: | ||
| Mathematics of Finance | ||
| Actuarial Mathematics | ||
| Topics in Actuarial Science | ||
| Introduction to Machine Learning | ||
| Statistics for Risk Modeling | ||
| Loss Models | ||
| Electives | 6 | |
| Select two electives from the following list. The same course cannot be used to satisfy both the emphasis core and elective requirement. | ||
| Applied Statistical Methods for Research | ||
| Regression Analysis | ||
| Spatial Data Analysis | ||
| Statistical Computing I | ||
| Design and Analysis of Experiments | ||
| Statistical Quality Assurance Methods | ||
| Applied Multivariate Statistical Analysis | ||
| Statistical Computing II | ||
| Introduction to Machine Learning | ||
| Statistics for Risk Modeling | ||
| Actuarial Examination Preparation ** | ||
| Actuarial Mathematics | ||
| Topics in Actuarial Science | ||
| Introduction to Financial Engineering | ||
| Loss Models | ||
| Numerical Analysis | ||
| Mathematics of Finance | ||
| Total Hours | 43-46 | |
- *
MATH 1420 has prerequisite of satisfactory score on mathematics placement exam or subsequent remediation.
- **
ACT SCI 3731 may be repeated for credit for preparation for different exams, however only 3 hours will count toward the Statistics/Actuarial Science major.
Four-Year Plan
Mathematics: Statistics/Actuarial Science, B.A.
This is a sample plan of study with a suggested sequencing of classes for the major. University electives may be applied to earn additional academic majors, minors, or certificates. Students should regularly meet with their academic advisor to plan their specific semester schedule to include UNIFI/General Education program and/or university elective hours required.
| Freshman | ||
|---|---|---|
| Fall | Hour | |
| ECON 1041 | Principles of Macroeconomics | 3 |
| ENGLISH 1005 | College Writing and Research | 3 |
| MATH 1420 | Calculus I | 4 |
| MGMT 2080 | Introduction to Information Systems | 3 |
| STAT 1772 | Introduction to Statistical Methods | 3 |
| Hours | 16 | |
| Spring | ||
| COMM 1000 | Oral Communication | 3 |
| ECON 1051 | Principles of Microeconomics | 3 |
| MATH 3780/5780 | Mathematics of Finance | 3 |
| MATH 1421 | Calculus II | 4 |
| UNIFI/General Education or University Electives | 3 | |
| Hours | 16 | |
| Sophomore | ||
| Fall | ||
| ACCT 2120 | Principles of Financial Accounting | 3 |
| ECON 1011 | Statistics for Business Analytics ( or STAT 3771 Applied Statistical Methods for Research) | 3 |
| MATH 2500 | Linear Algebra for Applications | 3 |
| MATH 3752/5752 | Introduction to Probability | 3 |
| UNIFI/General Education or University Electives | 3 | |
| Hours | 15 | |
| Spring | ||
| MATH 2422 | Calculus III | 4 |
| STAT 3775/5775 | Introduction to Mathematical Statistics | 3 |
| UNIFI/General Education or University Electives | 3 | |
| Visual BASIC recommended | 3 | |
| Hours | 13 | |
| Junior | ||
| Fall | ||
| ACT SCI 4735/5735 | Actuarial Mathematics | 3 |
| FIN 3130 | Corporate Finance | 3 |
| STAT 3776/5776 | Regression Analysis | 3 |
| UNIFI/General Education or University Electives | 6 | |
| Hours | 15 | |
| Spring | ||
| ACT SCI 4739/5739 | Topics in Actuarial Science | 3 |
| ACT SCI 4785/5785 | Introduction to Financial Engineering | 3 |
| FIN 3160 | Principles of Investments | 3 |
| MKTG 2110 | Principles of Marketing | 3 |
| UNIFI/General Education or University Electives | 4 | |
| Hours | 16 | |
| Senior | ||
| Fall | ||
| ACT SCI 4788/5788 | Loss Models | 3 |
| FIN 3050 | Risk Management and Insurance | 3 |
| MGMT 3100 | Legal and Social Environment of Business | 3 |
| UNIFI/General Education or University Electives | 7 | |
| Hours | 16 | |
| Spring | ||
| MATH 4900 | Senior Mathematics Seminar | 1 |
| MGMT 3153 | Organizational Management | 3 |
| UNIFI/General Education or University Electives | 9 | |
| Hours | 13 | |
| Total Hours | 120 | |
- *
Note: A student who has a grade point average of less that 2.25 in all departmental courses used for this major may not apply a departmental course in which a grade of less than C- is earned.
Learning Outcomes
Mathematics: Statistics/Actuarial Science, B.A.
Goal 1. Problem Solving Specification:
- Understanding: Students will understand or state problems and definitions correctly;
- Modification: Students will modify problems when necessary to make them tractable;
- Reaching a solution: Students will articulate assumptions and reason logically to conclusions;
- Communication and Interpretation: Students will communicate steps and interpret results intelligently when necessary.
Goal 2. Content Specification:
- Knowledge Foundation: Students will demonstrate an understanding of the core knowledge of mathematics.
- Advanced Content: Students will demonstrate comprehension of upper-level content of mathematics, statistics and actuarial science.
- Communication and Interpretation: Students will communicate using correct content terms and interpret concepts when necessary.
Goal 3. Technology/Software:
- Software Proficiency: Students will demonstrate basic proficiency with mathematical and statistical software.
- Analytical Skills: Students will be able to make informed choices about when the use of technology or data analysis is viable and useful.
- Communication and Interpretation: Students will communicate using the right language and interpret results intelligently.
Goal 4. Professional Development:
- Actuarial Science Development: Students with actuarial science emphasis will develop skills and acquire the content knowledge needed to pass actuarial exams offered by the professional organizations including Society of Actuaries and Casualty Actuarial Society.
Policies
Notes:
- A student majoring or minoring in mathematics, who has a grade point average of less than 2.25 in all departmental courses used for that major or minor may not apply a departmental course in which a grade of less than C- is earned to her/his major or minor.
- A student with a major within the Department of Mathematics may declare a second major and/or a certificate within the Department. Interested students should work closely with an advisor.
- The declaration of both a major and a minor with the Department of Mathematics is limited to the following. Interested students should work closely with an advisor.
- A student with any Mathematics major may declare the interdisciplinary Data Science Minor.
- A student with the Mathematics Major or the Mathematics-Teaching Major may declare the Statistics emphasis of the Statistics and Actuarial Science Minor.