Data Science, BS/MS Actuarial Science Accelerated Program
A student in the BS in Data Science program needs to apply for the accelerated program by the end of the semester prior to the senior year. The admission standard to the Accelerated Program should be consistent with the MS in Actuarial Science program. Students in the accelerated program should meet the program requirements of both BS in Data Science and MS in Actuarial Science programs.
- Major in Data Science
- Completion of 60 credit hours of undergraduate course work
- Have and maintain a minimum grade point average of 3.0
- Obtain permission from the MS in Actuarial Science director to take the required MS in Actuarial Science courses as an undergraduate. In addition to the specific math courses for the Data Science major, students are required to take ACCT 210 INTRODUCTION TO FINANCIAL ACCOUNTING, MATH 232 CALCULUS II, and MATH 233 CALCULUS III, ACSC 347 PROBABILITY THEORY and ACSC 367 FINANCIAL MATH during their undergraduate years as a prerequisite for the graduate degree in Actuarial Science. Note that this would allow a student to declare and complete a mathematics minor as part of this process. Students who have not taken ACSC 367 FINANCIAL MATH and ACSC 347 PROBABILITY THEORY as undergraduates must choose MATH 467 FINANCIAL MATHEMATICS and MATH 447 ADVANCED PROBABILITY respectively as part of their graduate electives.
- As part of their undergraduate degree, students must take a minimum of their last 30 credit hours at Roosevelt University or complete a minimum of 60 hours in-residence at Roosevelt University excluding the number hours in the exception request.
- Upon completion of the BS in Data Science, apply to the MS in Actuarial Science program under the normal admission process.
- At most two grades of C or C+ are allowed in graduate courses; all other graduate coursework must have a grade of B- or higher, with a graduate GPA of at least 3.0.
- The completed degree requires a total of 33 credit hours of graduate coursework (which includes the 9 credit hours of graduate courses taken while an undergraduate).
Students will take the following three MS in Actuarial Science graduate courses as part of the BS in Data Science. These courses are the graduate equivalents of CST 309 DATA MINING, CST 310 GAME THEORY AND APPLICATIONS and MATH 349 REGRESSION & TIME SERIES.
All of the courses will receive credit toward the MS in Actuarial Science degree once the student is admitted to the MS in Actuarial Science program.
| Code | Title | Credit Hours |
|---|---|---|
| MATH 409 | DATA MINING | 3 |
| MATH 449 | REGRESSION & TIME SERIES | 3 |
| MATH 423 | GAME THEORY AND APPLICATIONS | 3 |
Your degree map is a general guide suggesting courses to complete each term on the academic pathway to your degree. It is based on the most current scheduling information from your academic program. Your program’s degree map is reviewed annually and updated as schedules change (although you retain the same course requirements as long as you are continuously enrolled in your degree program).
Always work closely with your academic advisor to understand curriculum requirements and scheduling, as each student’s academic plan can look slightly different.
| Year 1 | |||
|---|---|---|---|
| Fall | Credit Hours | Spring | Credit Hours |
| ENG 101 | 3 | ENG 102 | 3 |
| FYS 101 | 1 | CST 150 | 4 |
| BIOL 111 or 1124 | 4 | Physical Science4 | 3 |
| MATH 1216 | 3 | Ideas of Social Justice | 3 |
| Social Science #17 | 3 | MATH 122 | 3 |
| 14 | 16 | ||
| Year 2 | |||
| Fall | Credit Hours | Spring | Credit Hours |
| MATH 245 | 3 | MATH 246 | 3 |
| MATH 217 | 3 | CST 280 | 3 |
| COMM 101 | 3 | Humanities #1 | 3 |
| Experiential Learning #13 | 3 | MATH 232 | 5 |
| MATH 231 | 5 | ||
| 17 | 14 | ||
| Year 3 | |||
| Fall | Credit Hours | Spring | Credit Hours |
| CST 333 | 3 | CST 311 | 3 |
| CST 387 | 3 | Major Elective 3XX2 | 3 |
| Major Elective 3XX2 | 3 | Major Elective 3XX2 | 3 |
| MATH 233 | 3 | Humanities #2 | 3 |
| ACSC 347 | 3 | Humanities #3 | 3 |
| 15 | 15 | ||
| Year 4 | |||
| Fall | Credit Hours | Spring | Credit Hours |
| MATH 409 | 3 | Social Science #3 | 3 |
| CST 381 | 3 | Major Elective 3XX2 | 3 |
| MATH 449 (EXL Course) | 3 | ACCT 210 | 3 |
| Social Science #27 | 3 | Major Elective 3XX2 | 3 |
| ACSC 367 | 3 | MATH 423 | 3 |
| 15 | 15 | ||
| Year 5 | |||
| Fall | Credit Hours | Spring | Credit Hours |
| MATH 4XX | 3 | MATH 4XX, ECON 4XX, or FIN 4XX5 | 3 |
| MATH 4XX, ECON 4XX, or FIN 4XX5 | 3 | MATH 480P | 3 |
| MATH 4XX, ECON 4XX, or FIN 4XX5 | 3 | MATH 448 | 3 |
| MATH 4XX, ECON 4XX, or FIN 4XX5 | 3 | MATH 480FM | 3 |
| 12 | 12 | ||
| Total Credit Hours 145 | |||
- 1
Or course towards an optional Minor.
- 2
Major electives chosen with advisor.
- 3
Experiential Learning class must be 200/300 level. Satisfies CORE Experiential Learning requirement.
- 4
One Natural Science course must have a lab.
- 5
ECON/FIN elective options: ECON 421 MACROECONOMIC THEORY, ECON 423 MICROECONOMIC THEORY, FIN 408 FINANCE FOR DECISION MAKERS, FIN 485 INVESTMENT THEORY
- 6
Students should begin the calculus sequence as soon as possible; students who need more support in MATH 121 COLLEGE ALGEBRA may take a corequisite MATH 021 ALGEBRAIC FOUNDATIONS course. Those whose background permits may begin with MATH 122 TRIGONOMETRY AND PRECALCULUS or one of the Calculus courses.
- 7
Students are strongly encouraged to take ECON 101 PRINCIPLES OF ECONOMICS I and ECON 102 PRINCIPLES OF ECONOMICS II in order to satisfy the economics portion of the VEE requirements of the actuarial societies.