Mathematics BA / Biostatistics MS
Major: Mathematics (BA) / Biostatistics (MS)
Degree Awarded: Bachelor of Arts (BA) and Master of Science (MS)
Calendar Type: Quarter
Minimum Required Credits: 228.0
Co-op Options: One Co-op (Five years); No Co-op (Five years);
About the Program
The College of Arts and Sciences and the Dornsife School of Public Health offer an accelerated Bachelor of Arts in Mathematics and Master of Science in Biostatistics. Participants can earn both a BA degree in Mathematics and a MS degree in Biostatistics in five years.
In this accelerated degree program, students participate in the undergraduate program for four full years (with or without one co-operative experience). After two years of undergraduate study, students begin their graduate studies in the Master of Science in Biostatistics program. The third and fourth year are a mix of undergraduate and graduate courses. After the successful completion of their fourth year, students receive their BA. When students successfully complete the remainder of their graduate studies (typically two graduate quarters), they will receive the MS degree.
Students in the Master of Science in Biostatistics program complete 47.0 graduate quarter credits to meet the requirements of the master's program.
Additional Information
For additional information about this program, contact Academic Advisor Paige Chmielewski pr37@drexel.edu.
Admission Requirements
Application to the BAMS program begins after a student has completed at least 90.0 credits and no more than 120.0 credits. A freshman student can be designated as a BAMS Provisional Admit but is not officially accepted into the BAMS program until the student completes at least 90.0 credits and meets the admissions criteria.
Acceptance to the Drexel MS in Biostatistics is conditional upon a 3.0 overall undergraduate GPA, a 3.5 GPA in math, and a minimum grade of B in Linear Algebra and Calculus courses. Applicants who meet the GPA and grade criteria will be evaluated by the MS in Biostatistics admissions committee in order to be considered for admission.
Students must verify their intent to continue or enroll in the accelerated program with their advisor by the end of the spring term of year one. Students must submit a SOPHAS Express application to the graduate Master of Science in Biostatistics program during their third year.
All students will follow the same application procedures as other applicants. Any student who does not meet the entrance requirements of the graduate program will be able to complete the fourth year of the Mathematics undergraduate program and receive a BA degree.
Degree Requirements
| General Education Requirements | ||
| CIVC 101 | Introduction to Civic Engagement | 1.0 |
| COM 230 | Techniques of Speaking | 3.0 |
| COOP 101 | Career Management and Professional Development * | 1.0 |
| ENGL 101 | Composition and Rhetoric I: Inquiry and Exploratory Research | 3.0 |
| or ENGL 111 | English Composition I | |
| ENGL 102 | Composition and Rhetoric II: Advanced Research and Evidence-Based Writing | 3.0 |
| or ENGL 112 | English Composition II | |
| ENGL 103 | Composition and Rhetoric III: Themes and Genres | 3.0 |
| or ENGL 113 | English Composition III | |
| UNIV S101 | The Drexel Experience | 1.0 |
| UNIV S201 | Looking Forward: Academics and Careers | 1.0 |
| College of Arts and Sciences Core Curriculum | ||
| Engaging the Natural World ** | 6.0-8.0 | |
| Analyzing Cultures & Histories ** | 6.0-8.0 | |
| Understanding Society & Human Behavior ** | 6.0-8.0 | |
| Cultivating Global Competence ** | 6.0-8.0 | |
| Perspectives in Diversity ** | 3.0-4.0 | |
| Any BIO, CHEM, PHYS, or PHEV course | 3.0-4.0 | |
| Undergraduate Free Electives | 66.0 | |
| Computer Science Sequence | ||
| CS 150 | Computer Science Principles | 3.0 |
| or CS 164 | Introduction to Computer Science | |
| CS 171 | Computer Programming I | 3.0 |
| CS 172 | Computer Programming II | 3.0 |
| Core Mathematics Requirements | ||
| MATH 121 | Calculus I *** | 0.0,4.0 |
| MATH 122 | Calculus II | 4.0 |
| MATH 123 | Calculus III | 4.0 |
| MATH 200 | Multivariate Calculus | 4.0 |
| MATH 201 | Linear Algebra | 4.0 |
| MATH 210 | Differential Equations | 4.0 |
| MATH 220 | Introduction to Mathematical Reasoning | 3.0 |
| MATH 331 | Abstract Algebra I † | 3.0-4.0 |
| or MATH 401 | Elements of Modern Analysis I | |
| Math Major Electives | ||
| Select a minimum of 30.0 credits from the following: | 30.0 | |
| Survey of Geometry | ||
| Discrete Mathematics | ||
| Combinatorics | ||
| Math Competition Problem Solving Seminar | ||
| History of Mathematics | ||
| Mathematics of Investment and Credit | ||
| Differential Equations II | ||
| Numerical Analysis I | ||
| Numerical Analysis II | ||
| Introduction to Optimization Theory | ||
| Probability and Statistics I | ||
| Probability and Statistics II | ||
| Probability and Statistics III | ||
| Mathematical Applications of Symbolic Software | ||
| Mathematical Applications of Statistical Software | ||
| Techniques of Data Analysis | ||
| Actuarial Mathematics | ||
| Vector Calculus | ||
| Complex Variables | ||
| Partial Differential Equations | ||
| Abstract Algebra II | ||
| Linear Algebra II | ||
| Elements of Modern Analysis I † | ||
or MATH 331 | Abstract Algebra I | |
| Elements of Modern Analysis II | ||
| Introduction to Topology | ||
| Mathematical Finance | ||
| Introduction to Graph Theory | ||
| Cryptography | ||
| Introduction to Monte Carlo Methods | ||
| Tensor Calculus | ||
| Required MS Biostatistics Courses | ||
| BST 522 | Introduction to Probability for Biostatistics | 3.0 |
| BST 551 | Statistical Inference I | 3.0 |
| BST 553 | Longitudinal Data Analysis | 3.0 |
| BST 555 | Introduction to Statistical Computing | 3.0 |
| BST 557 | Survival Data Analysis | 3.0 |
| BST 567 | Statistical Collaboration | 3.0 |
| BST 569 | Linear Statistical Models | 4.0 |
| BST 570 | Generalized Linear Models | 4.0 |
| BST 675 | Statistical Collaboration Lab | 3.0 |
| BST 701 | Advanced Statistical Computing | 3.0 |
| EPI 570 | Introduction to Epidemiology | 3.0 |
| PBHL 501 | Introduction to Public Health | 0.0 |
| Master's Project | ||
| Select one from the following: | 3.0 | |
| Statistical Collaboration in Practice | ||
or BST 699 | Data Analysis Project | |
| Graduate Electives | ||
| Select from the list below: | 9.0 | |
Any (BST) Biostatistics 500-999 level course | ||
Any (EPI) Epidemiology 500-999 level course | ||
| Total Credits | 224.0-239.0 | |
- *
Students not participating in co-op will take one additional credit of Free Elective instead of COOP 101.
Co-op cycles may vary. Students are assigned a co-op cycle (fall/winter, spring/summer, summer-only) based on their co-op program (4-year) and major.
COOP 101 registration is determined by the co-op cycle assigned and may be scheduled in a different term. Select students may be eligible to take COOP 001 in place of COOP 101.
- **
See Core Curriculum List for complete list of course options.
- ***
Math majors must pass MATH 121 with a grade of B or higher.
- †
If a student takes both of MATH 331 and MATH 401, then one of these can count as a Mathematics Elective. Up to three mathematics-related courses from other departments may be substituted for Mathematics Electives with departmental permission. MATH special topics courses may be substituted for Mathematics Electives with departmental permission
Writing-Intensive Course Requirements
In order to graduate, all students must pass three writing-intensive courses after their freshman year. Two writing-intensive courses must be in a student's major. The third can be in any discipline. Students are advised to take one writing-intensive class each year, beginning with the sophomore year, and to avoid “clustering” these courses near the end of their matriculation. Transfer students need to meet with an academic advisor to review the number of writing-intensive courses required to graduate.
A "WI" next to a course in this catalog may indicate that this course can fulfill a writing-intensive requirement. For the most up-to-date list of writing-intensive courses being offered, students should check the Writing Intensive Course List at the University Writing Program. Students scheduling their courses can also conduct a search for courses with the attribute "WI" to bring up a list of all writing-intensive courses available that term.
Sample Plan of Study
4+1, 1 co-op (Accelerated program completed in 5 years)
Students complete undergraduate requirements in four years, then convert to graduate status in the fifth and final year.
| First Year | ||
|---|---|---|
| Fall | Credits | |
| CS 150 or CS 164 | Computer Science Principles or Introduction to Computer Science | 3.0 |
| ENGL 101 or ENGL 111 | Composition and Rhetoric I: Inquiry and Exploratory Research or English Composition I | 3.0 |
| MATH 121 | Calculus I | 4.0 |
| UNIV S101 | The Drexel Experience | 1.0 |
| (UG) Engaging the Natural World ** | 3.0-4.0 | |
| Credits | 14-15 | |
| Winter | ||
| CIVC 101 | Introduction to Civic Engagement | 1.0 |
| CS 171 | Computer Programming I | 3.0 |
| ENGL 102 or ENGL 112 | Composition and Rhetoric II: Advanced Research and Evidence-Based Writing or English Composition II | 3.0 |
| MATH 122 | Calculus II | 4.0 |
| (UG) Engaging the Natural World ** | 3.0-4.0 | |
| Credits | 14-15 | |
| Spring | ||
| COOP 101 | Career Management and Professional Development * | 1.0 |
| CS 172 | Computer Programming II | 3.0 |
| ENGL 103 or ENGL 113 | Composition and Rhetoric III: Themes and Genres or English Composition III | 3.0 |
| MATH 123 | Calculus III | 4.0 |
| MATH 200 | Multivariate Calculus | 4.0 |
| (UG) Understanding Society & Human Behavior ** | 3.0-4.0 | |
| Credits | 18-19 | |
| Summer | ||
| VACATION | ||
| Credits | 0 | |
| Second Year | ||
| Fall | ||
| COM 230 | Techniques of Speaking | 3.0 |
| MATH 201 | Linear Algebra | 4.0 |
| MATH 220 | Introduction to Mathematical Reasoning | 3.0 |
| (UG) Cultivating Global Competence ** | 3.0-4.0 | |
| (UG) Perspectives in Diversity ** | 3.0-4.0 | |
| Credits | 16-18 | |
| Winter | ||
| (UG) Analyzing Cultures & Histories ** | 3.0-4.0 | |
| (UG) MATH Courses | 6.0 | |
| (UG) Free Electives | 10.0 | |
| Credits | 19-20 | |
| Spring | ||
| MATH 210 | Differential Equations | 4.0 |
| (UG) Analyzing Cultures & Histories ** | 3.0-4.0 | |
| (UG) MATH Course | 3.0 | |
| (UG) Understanding Society & Human Behavior ** | 3.0-4.0 | |
| (UG) Free Elective | 3.0 | |
| Credits | 16-18 | |
| Summer | ||
| (UG) Any BIO, CHEM, PHYS, or PHEV course | 3.0-4.0 | |
| (UG) MATH Courses | 3.0 | |
| (UG) Free Electives | 12.0 | |
| Credits | 18-19 | |
| Third Year | ||
| Fall | ||
| MATH 401 or MATH 331 | Elements of Modern Analysis I or Abstract Algebra I | 3.0-4.0 |
| (UG) MATH Course | 3.0 | |
| (UG) Free Electives | 6.0 | |
| BST 569 | Linear Statistical Models | 4.0 |
| EPI 570 | Introduction to Epidemiology | 3.0 |
| Credits | 19-20 | |
| Winter | ||
| UNIV S201 | Looking Forward: Academics and Careers | 1.0 |
| (UG) MATH Course | 4.0 | |
| (UG) Free Electives | 8.0 | |
| BST 555 | Introduction to Statistical Computing | 3.0 |
| BST 570 | Generalized Linear Models | 4.0 |
| Credits | 20 | |
| Spring | ||
| COOP EXPERIENCE | ||
| Credits | 0 | |
| Summer | ||
| COOP EXPERIENCE | ||
| Credits | 0 | |
| Fourth Year | ||
| Fall | ||
| (UG) Cultivating Global Competence ** | 3.0-4.0 | |
| (UG) Free Electives | 9.0 | |
| BST 522 | Introduction to Probability for Biostatistics | 3.0 |
| BST 557 | Survival Data Analysis | 3.0 |
| Credits | 18-19 | |
| Winter | ||
| (UG) MATH Course | 7.0 | |
| (UG) Free Electives | 6.0 | |
| BST 551 | Statistical Inference I | 3.0 |
| BST 553 | Longitudinal Data Analysis | 3.0 |
| Credits | 19 | |
| Spring | ||
| (UG) Free Electives | 12.0 | |
| (UG) MATH Course | 4.0 | |
| BST 701 | Advanced Statistical Computing | 3.0 |
| Credits | 19 | |
| Summer | ||
| BA Degree Awarded | ||
| Student converts to Graduate status | ||
| Credits | 0 | |
| Fifth Year | ||
| Fall | ||
| BST 567 | Statistical Collaboration | 3.0 |
| BST 675 | Statistical Collaboration Lab | 3.0 |
| PBHL 501 | Introduction to Public Health | 0.0 |
| (GR) Graduate Electives | 3.0 | |
| Credits | 9 | |
| Winter | ||
| BST 698 or BST 699 | Statistical Collaboration in Practice or Data Analysis Project | 3.0 |
| (GR) Graduate Electives | 6.0 | |
| Credits | 9 | |
| Total Credits | 228-239 | |
- *
Co-op cycles may vary. Students are assigned a co-op cycle (fall/winter, spring/summer, summer-only) based on their co-op program (4-year) and major.
COOP 101 registration is determined by the co-op cycle assigned and may be scheduled in a different term. Select students may be eligible to take COOP 001 in place of COOP 101.
- **
See Core Curriculum List for complete list of course options.
4+1, no co-op (Accelerated program completed in 5 years)
Students complete undergraduate requirements in four years, then convert to graduate status in the fifth and final year.
| First Year | ||
|---|---|---|
| Fall | Credits | |
| CS 150 or CS 164 | Computer Science Principles or Introduction to Computer Science | 3.0 |
| ENGL 101 or ENGL 111 | Composition and Rhetoric I: Inquiry and Exploratory Research or English Composition I | 3.0 |
| MATH 121 | Calculus I | 4.0 |
| UNIV S101 | The Drexel Experience | 1.0 |
| (UG) Engaging the Natural World * | 3.0-4.0 | |
| Credits | 14-15 | |
| Winter | ||
| CIVC 101 | Introduction to Civic Engagement | 1.0 |
| CS 171 | Computer Programming I | 3.0 |
| ENGL 102 or ENGL 112 | Composition and Rhetoric II: Advanced Research and Evidence-Based Writing or English Composition II | 3.0 |
| MATH 122 | Calculus II | 4.0 |
| (UG) Engaging the Natural World * | 3.0-4.0 | |
| Credits | 14-15 | |
| Spring | ||
| CS 172 | Computer Programming II | 3.0 |
| ENGL 103 or ENGL 113 | Composition and Rhetoric III: Themes and Genres or English Composition III | 3.0 |
| MATH 123 | Calculus III | 4.0 |
| MATH 200 | Multivariate Calculus | 4.0 |
| (UG) Understanding Society & Human Behavior * | 3.0-4.0 | |
| Credits | 17-18 | |
| Summer | ||
| VACATION | ||
| Credits | 0 | |
| Second Year | ||
| Fall | ||
| COM 230 | Techniques of Speaking | 3.0 |
| MATH 201 | Linear Algebra | 4.0 |
| MATH 220 | Introduction to Mathematical Reasoning | 3.0 |
| (UG) Perspectives in Diversity * | 3.0-4.0 | |
| (UG) Cultivating Global Competence * | 3.0-4.0 | |
| Credits | 16-18 | |
| Winter | ||
| (UG) Analyzing Cultures & Histories * | 3.0-4.0 | |
| (UG) MATH Courses | 6.0 | |
| (UG) Free Electives | 10.0 | |
| Credits | 19-20 | |
| Spring | ||
| MATH 210 | Differential Equations | 4.0 |
| (UG) Analyzing Cultures & Histories * | 3.0-4.0 | |
| (UG) MATH Course | 3.0 | |
| (UG) Understanding Society & Human Behavior * | 3.0-4.0 | |
| (UG) Free Electives | 4.0 | |
| Credits | 17-19 | |
| Summer | ||
| VACATION | ||
| Credits | 0 | |
| Third Year | ||
| Fall | ||
| MATH 401 or MATH 331 | Elements of Modern Analysis I or Abstract Algebra I | 3.0-4.0 |
| (UG) Math Courses | 3.0 | |
| (UG) Free Electives | 6.0 | |
| BST 569 | Linear Statistical Models | 4.0 |
| EPI 570 | Introduction to Epidemiology | 3.0 |
| Credits | 19-20 | |
| Winter | ||
| UNIV S201 | Looking Forward: Academics and Careers | 1.0 |
| (UG) MATH Courses | 4.0 | |
| (UG) Free Elective | 8.0 | |
| BST 555 | Introduction to Statistical Computing | 3.0 |
| BST 570 | Generalized Linear Models | 4.0 |
| Credits | 20 | |
| Spring | ||
| (UG) Any BIO, CHEM, PHYS, or PHEV | 3.0-4.0 | |
| (UG) MATH Courses | 4.0 | |
| (UG) Free Electives | 11.0 | |
| Credits | 18-19 | |
| Summer | ||
| VACATION | ||
| Credits | 0 | |
| Fourth Year | ||
| Fall | ||
| (UG) Cultivating Global Competence * | 3.0-4.0 | |
| (UG) Free Electives | 10.0 | |
| BST 522 | Introduction to Probability for Biostatistics | 3.0 |
| BST 557 | Survival Data Analysis | 3.0 |
| Credits | 19-20 | |
| Winter | ||
| (UG) MATH Course | 7.0 | |
| (UG) Free Electives | 7.0 | |
| BST 551 | Statistical Inference I | 3.0 |
| BST 553 | Longitudinal Data Analysis | 3.0 |
| Credits | 20 | |
| Spring | ||
| (UG) MATH Course | 3.0 | |
| (UG) Free Electives | 11.0 | |
| BST 701 | Advanced Statistical Computing | 3.0 |
| Credits | 17 | |
| Summer | ||
| BA Degree Awarded | ||
| Student converts to Graduate status | ||
| Credits | 0 | |
| Fifth Year | ||
| Fall | ||
| BST 567 | Statistical Collaboration | 3.0 |
| BST 675 | Statistical Collaboration Lab | 3.0 |
| PBHL 501 | Introduction to Public Health | 0.0 |
| (GR) Graduate Electives | 3.0 | |
| Credits | 9 | |
| Winter | ||
| (GR) Graduate Electives | 6.0 | |
| BST 698 or BST 699 | Statistical Collaboration in Practice or Data Analysis Project | 3.0 |
| Credits | 9 | |
| Total Credits | 228-239 | |
- *
See Core Curriculum List for complete list of course options.
