Actuarial Science, BS/MS Mathematics
Students completing the accelerated BS in Actuarial Science and MS in mathematics will complete the BS in Actuarial Science with minors in both Finance and Computer Science in their first four years. In their fifth year they will complete the MS degree in Mathematics with their choice of concentration in either Statistics or Computer Science.
Requirements
- At least four courses in Actuarial Science must be completed at Roosevelt University.
- A student completing a Bachelor of Science degree in Actuarial Science must take at least one professional exam prior to graduation. Proof should be submitted to the department chair.
- All credit must be approved by the department to be applied toward the major.
- At least 60 semester hours must be in actuarial science, mathematics, computer science, natural sciences and/or psychology. (Note that typically fulfilling the standard general education requirements, the major requirements, and the computer science minor will result in at least 60 semester hours.)
- The BS degree with an accelerated MS requires both a minor in Finance and an additional minor in Computer Science (computer science courses must be numbered above 115.)
- All courses presented for the undergraduate major must be completed with C- or higher grades with an overall GPA of 2.0 or higher in undergraduate coursework. A maximum of two grades of C- may be presented for the undergraduate major.
- 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 as an undergraduate).
Recommendations
- Appropriate supporting courses in computer science, economics, and finance are recommended.
- Students should prepare to take an actuarial professional exam early in their degree plan, as this is often a requirement for actuarial internships. Both ACSC 367 FINANCIAL MATH and ACSC 347 PROBABILITY THEORY correspond to the content of the first two of these actuarial professional exams; the corresponding seminar courses ACSC 380FM ACTUARIAL SCIENCE SEMINAR:EXAM FM/2 and ACSC 380P ACTUARIAL SCIENCE SEMINAR: EXAM P/1 aid in exam preparation.
- Students are encouraged to take ACSC 390 INDUSTRIAL RESEARCH PROBLEMS as part of their experiential learning coursework.
- Students are encouraged to do an actuarial, computing, financial, or statistical internship prior to graduation.
Code | Title | Credit Hours |
---|---|---|
Core | ||
ACSC 101 | ACTUARIAL CAREER | 1 |
MATH 231 | CALCULUS I | 5 |
MATH 232 | CALCULUS II | 5 |
MATH 233 | CALCULUS III | 3 |
ACSC 246 | LINEAR ALGEBRA | 3 |
ACSC 309 | DATA MINING (Will be graduate Math 409) | 3 |
ACSC 347 | PROBABILITY THEORY | 3 |
ACSC 348 | MATHEMATICAL STATISTICS | 3 |
ACSC 349 | REGRESSION & TIME SERIES (Will be graduate Math 449) | 3 |
ACSC 367 | FINANCIAL MATH | 3 |
ACSC 380FM | ACTUARIAL SCIENCE SEMINAR:EXAM FM/2 | 3 |
or ACSC 380P | ACTUARIAL SCIENCE SEMINAR: EXAM P/1 | |
Select one of the following: | 3 | |
COOPERATION AND COMPETITION -- GAME THEORY AND APPLICATIONS | ||
LINEAR PROGRAMMING & OPTIMIZATION | ||
ADVANCED EXCEL METHODS | ||
MODELS FOR LIFE CONTINGENCIES | ||
TOPICS IN ACTUARIAL MATH | ||
INDUSTRIAL RESEARCH PROBLEMS | ||
ACTUARIAL SCIENCE SEMINAR:EXAM FM/2 | ||
or ACSC 380P | ACTUARIAL SCIENCE SEMINAR: EXAM P/1 | |
VEE requirement (part of Finance minor) | ||
ECON 101 | PRINCIPLES OF ECONOMICS I (fulfills a portion of the social science gen ed requirement) | 3 |
ECON 102 | PRINCIPLES OF ECONOMICS II (fulfills a portion of the social science gen ed requirement) | 3 |
FIN 311 | PRINCIPLES OF FINANCE | 3 |
FIN 321 | INVESTMENTS | 3 |
Additional requirements for the Finance minor | ||
ACCT 210 | INTRODUCTION TO FINANCIAL ACCOUNTING | 3 |
FIN 301 | MONEY AND BANKING | 3 |
FIN 3XX | FINANCE ELECTIVE | 3 |
Computer science minor | ||
CST 150 | COMPUTER SCIENCE I | 4 |
CST 250 | COMPUTER SCIENCE II Recommended | 4 |
CST 2XX | COMPUTER SCIENCE ELECTIVE | 3 |
CST 333 | DATABASE SYSTEMS Recommended | 3 |
CST 3XX | COMPUTER SCIENCE ELECTIVE | 3 |
General Education, University Writing Requirement, and Elective courses | 44 | |
Total Credit Hours | 120 |
CORE Requirements (General Education)
Code | Title | Credit Hours |
---|---|---|
First Year Success Course or Transfer Success Course | ||
FYS 101 | FIRST YEAR SUCCESS COURSE | 1 |
or TRS 101 | TRANSFER SUCCESS 101 | |
Communication Requirement | ||
ENG 101 | COMPOSITION I: CRITICAL READING & WRITING | 3 |
ENG 102 | COMPOSITION II: INTRODUCTION TO ACADEMIC RESEARCH | 3 |
COMM 101 | PUBLIC SPEAKING (or program specific CORE communications course) | 3 |
Ideas of Social Justice | ||
3 credits in coursework categorized as Ideas. | 3 | |
Humanities and Fine and Performing Arts 2, 3 | ||
9 credits from the following subject areas: African-American Studies, Art History, English (excluding ENG 101 and ENG 102), History, Languages, Music, Philosophy, Theatre, Communication and Women's and Gender Studies | 9 | |
Mathematics | ||
MATH 110 | QUANTITATIVE LITERACY (or above) 1 | 3 |
Science | ||
One biological science and one physical science required (one must include a one credit lab). | 7-8 | |
Social Sciences 2,3 | ||
9 credits from the following subject areas: African-American Studies, Criminal Justice, Economics, History, Journalism, Philosophy, Political Science, Psychology, Sociology and Women's and Gender Studies | 9 | |
Experiential Learning | ||
6 credits from coursework categorized as Experiential Learning. | 6 | |
Total Credit Hours | 47-48 |
- 1
Higher level of Math may be required by major
- 2
Coursework must come from outside of students' major discipline
- 3
A maximum of 9 credits can be applied from a single discipline towards humanities and social science requirements
These quantitative requirements also apply to degrees.
- Students must earn a minimum of 120 semester hours.
- Students may apply no more than 60 credit hours of 100-level courses toward the degree.
- Students must apply no fewer than 60 credit hours of 200- and 300-level courses toward the degree.
- Students must have at least 18 credit hours (of the 60 credit hours above) at the 300 level.
- Students may transfer in no more than 70 credit hours from community colleges.
- Students earning less than 60 total hours in residence must take their final 30 hours at Roosevelt University. Note that some majors have additional requirements for RU hours.
- Students must have a grade point average of 2.0 or higher to graduate. Note that some majors have additional GPA requirements.
- Students may apply no more than 51 hours in the major (BA) or 57 hours in the major (BS)
Requirements for MS
Students completing the MS in mathematics must choose a concentration in either computer science or statistics. Three of the graduate courses (MATH 448 PROBABILITY AND STATISTICS II, MATH 449 REGRESSION & TIME SERIES, and MATH 409 DATA MINING) must be taken during the senior year of undergraduate and will be used for graduate credit in the MS.
Computer Science Concentration
As computer technology evolves, so do the mathematical applications including probability and statistics, numerical analysis, data analytics, cryptography, neural networks, genetic algorithms, bioinformatics, and other fields of scientific computing. Students interested in working with computers while pursuing their MS in mathematics have the option of combining at least 18 credit hours of mathematics course work with up to 15 credit hours in computer science for a total of 33 credit hours. In this accelerated degree, nine of those credit hours are completed during the junior or senior year, and the remaining 24 are completed after the undergraduate degree is complete.
Requirements
The completed degree requires a total of 33 credit hours of graduate course work.
Code | Title | Credit Hours |
---|---|---|
Core 2 | ||
MATH 409 | DATA MINING | 3 |
MATH 430 | NUMERICAL ANALYSIS 1 | 3 |
Electives | ||
Select four to seven courses from among the following options: 2 | 12-21 | |
HISTORY OF MATHEMATICS | ||
NUMBER THEORY | ||
INTRODUCTION TO ABSTRACT ALGEBRA | ||
GAME THEORY AND APPLICATIONS | ||
OPERATIONS RESEARCH 1 | ||
STOCHASTIC PROCESSES 1 | ||
ADVANCED PROBABILITY 1 | ||
PROBABILITY AND STATISTICS II | ||
REGRESSION & TIME SERIES 1 | ||
ANOVA & EXPERIMENTAL DESIGN 1 | ||
TOPICS IN ACTUARIAL MATH 1 | ||
SPECIAL TOPICS | ||
INDUSTRIAL APP OF MATH | ||
Select the remaining courses (for an overall total of eleven courses) from among the following: 2 | 15-6 | |
BIG DATA | ||
ADVANCED ALGORITHMS | ||
CRYPTOGRAPHY | ||
INTERNET SECURITY | ||
DISTRIBUTED DATABASES | ||
CST 472 | ||
SPECIAL TOPICS | ||
INTELLIGENT SYSTEMS | ||
COMPUTER GRAPHICS | ||
INFORMATION RETRIEVAL 1 | ||
Total Credit Hours | 33 |
- 1
At least six courses must be listed exclusively at the graduate level.
- 2
Substitutions may be made with advisor approval.
Statistics Concentration
The concentration in statistics prepares graduates for diverse and vital areas that may include medical research, drug testing, environmental risk assessment, quality assurance, economic forecasting, and the exploration of space. Students interested in applying statistics to other fields while pursuing their MS in mathematics have the option of combining at least 24 credit hours of mathematics course work with up to 9 credit hours in a cognate field (such as biology, chemistry, computer science, economics, education, finance, psychology, or sociology) for a total of 33 credit hours. In this accelerated degree, nine of those graduate credit hours are completed during the junior or senior year, and the remaining 24 are completed after the undergraduate degree is complete.
REQUIREMENTS
The completed degree requires a total of 33 hours of graduate course work.
Code | Title | Credit Hours |
---|---|---|
Core 2 | ||
MATH 430 | NUMERICAL ANALYSIS 1 | 3 |
MATH 446 | STOCHASTIC PROCESSES 1 | 3 |
MATH 447 | ADVANCED PROBABILITY 1 | 3 |
MATH 448 | PROBABILITY AND STATISTICS II | 3 |
MATH 449 | REGRESSION & TIME SERIES 1 | 3 |
MATH 457 | ANOVA & EXPERIMENTAL DESIGN 1 | 3 |
Electives | ||
Select two of the following: 2 | 6 | |
DATA MINING | ||
GAME THEORY AND APPLICATIONS | ||
LINEAR PROGRAMMING & OPTIM | ||
OPERATIONS RESEARCH 1 | ||
DERIVATIVES MARKETS 1 | ||
LOSS MODELS 1 | ||
TOPICS IN ACTUARIAL MATH | ||
SPECIAL TOPICS | ||
INDUSTRIAL APP OF MATH | ||
Three electives from mathematics or approved cognate fields | 9 | |
Total Credit Hours | 33 |
- 1
At least six courses must be listed exclusively at the graduate level.
- 2
Substitutions may be made with advisor approval.
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 |
FYS 101 | 1 | Ideas of Social Justice | 3 |
ENG 101 | 3 | ENG 102 | 3 |
ECON 101 | 3 | ECON 102 | 3 |
Physical Science6 | 3 | CST 150 | 4 |
MATH 1217 | 3 | MATH 122 | 3 |
ACSC 101 | 1 | ||
14 | 16 | ||
Year 2 | |||
Fall | Credit Hours | Spring | Credit Hours |
ACCT 210 | 3 | FIN 301 | 3 |
MATH 231 | 5 | MATH 232 | 5 |
Humanities #1 | 3 | ACSC 246 | 3 |
COMM 101 | 3 | BIOL 111 or 1126 | 4 |
Social Science #3 (ECON 234 recommended) | 3 | ||
17 | 15 | ||
Year 3 | |||
Fall | Credit Hours | Spring | Credit Hours |
MATH 233 | 3 | ACSC 380FM or 380P5 | 3 |
FIN 311 | 3 | MATH 448 | 3 |
CST 250 | 4 | Experiential Learning #11 | 3 |
Humanities #2 | 3 | FIN 321 | 3 |
ACSC 347 | 3 | CST 2XX | 3 |
16 | 15 | ||
Year 4 | |||
Fall | Credit Hours | Spring | Credit Hours |
MATH 409 | 3 | CST 333 | 3 |
MATH 449 (EXL #2) | 3 | Humanities #3 | 3 |
ACSC 367 | 3 | CST 3XX | 3 |
Actuarial Elective3 | 3 | General Elective | 3 |
FIN 3XX2 | 3 | General Elective | 3 |
15 | 15 | ||
Year 5 | |||
Fall | Credit Hours | Spring | Credit Hours |
MATH 446 | 3 | MATH 457 | 3 |
MATH 430 | 3 | MATH 4XX | 3 |
Cognate Area4 | 3 | Cognate Area4 | 3 |
Cognate Area4 | 3 | MATH 4XX | 3 |
12 | 12 | ||
Total Credit Hours 147 |
- 1
ACSC 390 INDUSTRIAL RESEARCH PROBLEMS recommended
- 2
Any 300-level FIN course
- 3
Or a general elective if the EXL course was ACSC 390 INDUSTRIAL RESEARCH PROBLEMS
- 4
Or any 400-level Math course
- 5
Students must take a professional exam, ideally in the end of their junior year.
- 6
One Natural Science course must be a lab course.
- 7
Students should begin taking the calculus sequence in order based on their placement. Students who place into MATH 122 TRIGONOMETRY AND PRECALCULUS, MATH 231 CALCULUS I, MATH 232 CALCULUS II, or MATH 233 CALCULUS III should begin in that course in their first semester, taking subsequent courses each following semester until this sequence is complete.