Mathematics BS

Major: Mathematics
Degree Awarded: Bachelor of Science (BS)
Calendar Type: Quarter
Minimum Required Credits: 181.0
Co-op Options: Three Co-op (Five years); One Co-op (Four years); No Co-op (Four years)
Classification of Instructional Programs (CIP) code: 27.0101
Standard Occupational Classification (SOC) code:
 15-2021

About the Program

The mathematics major at Drexel provides a supportive learning environment in which students obtain a firm grounding in the core areas of mathematics and apply this knowledge to problems encountered in a technological society. The Department of Mathematics offers students the option of either a BA or a BS degree.

The Mathematics Department takes pride in offering a balanced and flexible curriculum. Three very different kinds of skills are emphasized in the mathematics major:

Abstract Reasoning

All students majoring in mathematics take courses that emphasize abstract reasoning. Students read and write proofs, and graduate well prepared to enter a PhD program in mathematics.

Computing

All students majoring in mathematics take a series of computing courses. This emphasis on computing is one of the distinctive features of the mathematics program at Drexel, and provides students with a competitive advantage in the job market.

Mathematical Modeling

All students majoring in mathematics take multidisciplinary courses that focus on the interplay between mathematics and an area of application. Students often use electives to focus on an area of personal interest. The Department of Mathematics encourages students to minor in a subject where mathematics is applied. The Department provides an advisor to assist students in selecting electives and planning career paths.

Additional Information

For more information about this program, please visit the Mathematics web page.

Degree Requirements

General Education Requirements
CIVC 101Introduction to Civic Engagement1.0
COOP 101Career Management and Professional Development *1.0
COM 230Techniques of Speaking3.0
ENGL 101Composition and Rhetoric I: Inquiry and Exploratory Research3.0
or ENGL 111 English Composition I
ENGL 102Composition and Rhetoric II: Advanced Research and Evidence-Based Writing3.0
or ENGL 112 English Composition II
ENGL 103Composition and Rhetoric III: Themes and Genres3.0
or ENGL 113 English Composition III
UNIV S101The Drexel Experience1.0
UNIV S201Looking Forward: Academics and Careers1.0
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
Computer Science sequence:9.0
Computer Science Principles
Introduction to Computer Science
Computer Programming I
Computer Programming II
Any BIO, CHEM, PHYS, or PHEV course3.0-4.0
Free electives45.0
Mathematics Requirements
MATH 121Calculus I ***4.0
MATH 122Calculus II4.0
MATH 123Calculus III4.0
MATH 200Multivariate Calculus4.0
MATH 201Linear Algebra4.0
MATH 210Differential Equations4.0
MATH 220Introduction to Mathematical Reasoning3.0
MATH 331Abstract Algebra I4.0
MATH 332Abstract Algebra II3.0
MATH 401Elements of Modern Analysis I3.0
MATH 402Elements of Modern Analysis II3.0
Math Major Electives 40.0
Select a minimum of 40.0 credits from the following:
Combinatorics
Math Competition Problem Solving Seminar
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
Linear Algebra II
Introduction to Topology
Mathematical Finance
Introduction to Graph Theory
Cryptography
Introduction to Monte Carlo Methods
Tensor Calculus
Total Credits180.0-190.0
*

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, 5-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.

MATH special topics courses may be substituted for Math Major Electives with departmental permission.

MATH 100, MATH 101, MATH 102, MATH 110, MATH 119, MATH 180, MATH 171, MATH 172, MATH 173, and MATH 239 do not count towards the degree unless approved by the department.

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 year, no coop

Plan of Study Grid
First Year
FallCredits
CS 150
Computer Science Principles
or Introduction to Computer Science
0.0-3.0
ENGL 101
Composition and Rhetoric I: Inquiry and Exploratory Research
or English Composition I
3.0
MATH 121 Calculus I 0.0,4.0
UNIV S101 The Drexel Experience 1.0
Engaging the Natural World * 3.0-4.0
 Credits7-15
Winter
CIVC 101 Introduction to Civic Engagement 1.0
CS 171 Computer Programming I 0.0,3.0
ENGL 102
Composition and Rhetoric II: Advanced Research and Evidence-Based Writing
or English Composition II
3.0
MATH 122 Calculus II 4.0
Engaging the Natural World * 3.0-4.0
 Credits11-15
Spring
CS 172 Computer Programming II 0.0,3.0
ENGL 103
Composition and Rhetoric III: Themes and Genres
or English Composition III
3.0
MATH 123 Calculus III 4.0
MATH 200 Multivariate Calculus 0.0,4.0
Any BIO, CHEM, PHYS, or PHEV course 3.0-4.0
 Credits10-18
Summer
VACATION  
 Credits0
Second Year
Fall
COM 230 Techniques of Speaking 3.0
MATH 201 Linear Algebra 4.0
MATH 220 Introduction to Mathematical Reasoning 3.0
Analyzing Cultures & Histories * 3.0-4.0
Free electives 3.0
 Credits16-17
Winter
MATH 210 Differential Equations 4.0
Analyzing Cultures & Histories * 3.0-4.0
Mathematics (MATH) elective ** 3.0
Perspectives in Diversity * 3.0-4.0
 Credits13-15
Spring
MATH 331 Abstract Algebra I 4.0
Cultivating Global Competence * 3.0-4.0
Mathematics (MATH) elective *** 4.0
Understanding Society & Human Behavior * 3.0-4.0
 Credits14-16
Summer
VACATION  
 Credits0
Third Year
Fall
MATH 332 Abstract Algebra II 3.0
Mathematics (MATH) elective *** 4.0
Understanding Society & Human Behavior * 3.0-4.0
Free electives 6.0
 Credits16-17
Winter
MATH 401 Elements of Modern Analysis I 3.0
Cultivating Global Competence * 3.0-4.0
Mathematics (MATH) elective *** 3.0
Free electives 6.0
 Credits15-16
Spring
MATH 402 Elements of Modern Analysis II 3.0
UNIV S201 Looking Forward: Academics and Careers 1.0
Mathematics (MATH) electives *** 7.0
Free electives 6.0
 Credits17
Summer
VACATION  
 Credits0
Fourth Year
Fall
Mathematics (MATH) electives *** 6.0
Free electives 8.0
 Credits14
Winter
Mathematics (MATH) electives *** 7.0
Free electives 8.0
 Credits15
Spring
Mathematics (MATH) electives *** 6.0
Free electives 9.0
 Credits15
 Total Credits163-190
*

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 MATH 331 and MATH 401, then one of these can count as a Mathematics Elective. Up to 3 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.

MATH 100, MATH 101, MATH 102, MATH 110, MATH 119, MATH 180, MATH 171, MATH 172, MATH 173, and MATH 239 do not count towards the degree unless approved by the department

4 year, 1 coop

Plan of Study Grid
First Year
FallCredits
CS 150
Computer Science Principles
or Introduction to Computer Science
0.0-3.0
ENGL 101
Composition and Rhetoric I: Inquiry and Exploratory Research
or English Composition I
3.0
MATH 121 Calculus I * 0.0,4.0
UNIV S101 The Drexel Experience 1.0
Engaging the Natural World 3.0-4.0
 Credits7-15
Winter
CIVC 101 Introduction to Civic Engagement 1.0
COOP 101 Career Management and Professional Development ** 1.0
CS 171 Computer Programming I 0.0,3.0
ENGL 102
Composition and Rhetoric II: Advanced Research and Evidence-Based Writing
or English Composition II
3.0
MATH 122 Calculus II 4.0
Engaging the Natural World 3.0-4.0
 Credits12-16
Spring
CS 172 Computer Programming II 0.0,3.0
ENGL 103
Composition and Rhetoric III: Themes and Genres
or English Composition III
3.0
MATH 123 Calculus III 4.0
MATH 200 Multivariate Calculus 0.0,4.0
Any BIO, CHEM, PHYS, or PHEV course 3.0-4.0
 Credits10-18
Summer
VACATION  
 Credits0
Second Year
Fall
COM 230 Techniques of Speaking 3.0
MATH 201 Linear Algebra 4.0
MATH 220 Introduction to Mathematical Reasoning 3.0
Analyzing Cultures & Histories **** 3.0-4.0
 Credits13-14
Winter
MATH 210 Differential Equations 4.0
Analyzing Cultures & Histories 3.0-4.0
Mathematics (MATH) elective *** 3.0
Perspectives in Diversity 3.0-4.0
 Credits13-15
Spring
MATH 331 Abstract Algebra I 4.0
Cultivating Global Competence 3.0-4.0
Mathematics (MATH) elective *** 4.0
Understanding Society & Human Behavior 3.0-4.0
 Credits14-16
Summer
MATH 332 Abstract Algebra II 3.0
Cultivating Global Competence 3.0-4.0
Mathematics (MATH) elective *** 4.0
Free electives 6.0
 Credits16-17
Third Year
Fall
MATH 401 Elements of Modern Analysis I 3.0
Mathematics (MATH) elective *** 3.0
Understanding Society & Human Behavior 3.0-4.0
Free electives 6.0
 Credits15-16
Winter
MATH 402 Elements of Modern Analysis II 3.0
UNIV S201 Looking Forward: Academics and Careers 1.0
Mathematics (MATH) electives *** 7.0
Free electives 6.0
 Credits17
Spring
COOP EXPERIENCE  
 Credits0
Summer
COOP EXPERIENCE  
 Credits0
Fourth Year
Fall
Mathematics (MATH) electives *** 7.0
Free electives 9.0
 Credits16
Winter
Mathematics (MATH) electives *** 6.0
Free electives 9.0
 Credits15
Spring
Mathematics (MATH) electives *** 6.0
Free electives 9.0
 Credits15
 Total Credits163-190
*

Math majors must pass MATH 121 with a grade of B or higher.

**

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, 5-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.

***

If a student takes both MATH 331 and MATH 401, then one of these can count as a Mathematics Elective. Up to 3 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.

MATH 100, MATH 101, MATH 102, MATH 110, MATH 119, MATH 180, MATH 171, MATH 172, MATH 173, and MATH 239 do not count towards the degree unless approved by the department

See Core Curriculum List for complete list of course options.

 5 year, 3 coop

Plan of Study Grid
First Year
FallCredits
CS 150
Computer Science Principles
or Introduction to Computer Science
0.0-3.0
ENGL 101
Composition and Rhetoric I: Inquiry and Exploratory Research
or English Composition I
3.0
MATH 121 Calculus I * 0.0,4.0
UNIV S101 The Drexel Experience 1.0
Engaging the Natural World 3.0-4.0
 Credits7-15
Winter
CIVC 101 Introduction to Civic Engagement 1.0
COOP 101 Career Management and Professional Development ** 1.0
CS 171 Computer Programming I 0.0,3.0
ENGL 102
Composition and Rhetoric II: Advanced Research and Evidence-Based Writing
or English Composition II
3.0
MATH 122 Calculus II 4.0
Engaging the Natural World 3.0-4.0
 Credits12-16
Spring
CS 172 Computer Programming II 0.0,3.0
ENGL 103
Composition and Rhetoric III: Themes and Genres
or English Composition III
3.0
MATH 123 Calculus III 4.0
MATH 200 Multivariate Calculus 0.0,4.0
Any BIO, CHEM, PHYS, or PHEV course **** 3.0-4.0
 Credits10-18
Summer
VACATION  
 Credits0
Second Year
Fall
COM 230 Techniques of Speaking 3.0
MATH 201 Linear Algebra 4.0
MATH 220 Introduction to Mathematical Reasoning 3.0
Analyzing Cultures & Histories 3.0-4.0
Perspectives in Diversity 3.0-4.0
 Credits16-18
Winter
MATH 210 Differential Equations 4.0
Analyzing Cultures & Histories 3.0-4.0
Cultivating Global Competence 3.0-4.0
Mathematics (MATH) elective *** 3.0
 Credits13-15
Spring
COOP EXPERIENCE  
 Credits0
Summer
COOP EXPERIENCE  
 Credits0
Third Year
Fall
MATH 331 Abstract Algebra I 0.0,4.0
Mathematics (MATH) elective *** 4.0
Understanding Society & Human Behavior 3.0-4.0
Free electives 4.0
 Credits11-16
Winter
MATH 332 Abstract Algebra II 3.0
Cultivating Global Competence 3.0-4.0
Mathematics (MATH) elective *** 3.0
Understanding Society & Human Behavior 3.0-4.0
Free elective 3.0
 Credits15-17
Spring
COOP EXPERIENCE  
 Credits0
Summer
COOP EXPERIENCE  
 Credits0
Fourth Year
Fall
MATH 401 Elements of Modern Analysis I 3.0
Mathematics (MATH) electives *** 3.0
Free electives 9.0
 Credits15
Winter
MATH 402 Elements of Modern Analysis II 3.0
UNIV S201 Looking Forward: Academics and Careers 1.0
Mathematics (MATH) electives *** 7.0
Free electives 4.0
 Credits15
Spring
COOP EXPERIENCE  
 Credits0
Summer
COOP EXPERIENCE  
 Credits0
Fifth Year
Fall
Mathematics (MATH) electives *** 7.0
Free electives 8.0
 Credits15
Winter
Mathematics (MATH) electives *** 7.0
Free electives 8.0
 Credits15
Spring
Mathematics (MATH) electives *** 6.0
Free electives 9.0
 Credits15
 Total Credits159-190
*

Math majors must pass MATH 121 with a grade of B or higher.

**

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, 5-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.

***

If a student takes both MATH 331 and MATH 401 then one of these can count as a Mathematics Elective. Up to 3 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.

MATH 100, MATH 101, MATH 102, MATH 110, MATH 119, MATH 180, MATH 171, MATH 172, MATH 173, and MATH 239 do not count towards the degree unless approved by the department

See Core Curriculum List for complete list of course options.

Co-op/Career Opportunities

Mathematicians are employed in a variety of capacities in business, industry, and government. Students can combine courses in economics or finance and mathematics to prepare for careers in the actuarial field, banks, stock exchanges, or finance departments of large corporations or other financial institutions. Students interested in science careers may focus on probability and statistics in order to work for industries like pharmaceutical manufacturers. Many others combine math studies with computer science courses to prepare for careers in information systems or engineering.

Teacher certification is also a career option available through a joint program in mathematics and teacher education.

Visit the Drexel Steinbright Career Development Center for more detailed information on co-op and post-graduate opportunities.

Dual Degree Bachelor’s Programs

Since applied mathematics plays an important role in many different disciplines, mathematics majors often choose to pursue specialization in a second field of study. Students may choose a dual major that involves completing the requirements of two separate majors or they can opt for a minor, which involves completing the major in one field and a smaller set of courses in another.

Dual majors are common in mathematics/computer science and mathematics/physics. Students interested in a dual major should consult with their advisor or contact the assistant department head. Dual majors in other fields are also possible, but early planning and discussions with advisors is essential.

Program Level Outcomes

  • Demonstrate problems-solving skills in a broad range of significant mathematical contexts   
  • Understand what constitutes mathematical thinking, and be able to produce and judge the validity of mathematical arguments      
  • Produce clear and valid proofs
  • Demonstrate substantial computer programming skills
  • Interact effectively with collaborators in other disciplines
  • Present mathematical information clearly, both orally and in writing, in a way that is appropriate for the audience

Mathematics Faculty

David M. Ambrose, PhD (Duke University) Associate Department Head, Mathematics. Associate Professor. Applied analysis and computing for systems of nonlinear partial differential equations, especially free-surface problems in fluid dynamics.
Jason Aran, MS (Drexel University). Assistant Teaching Professor.
Jonah D. Blasiak, PhD (University of California at Berkeley). Associate Professor. Algebraic combinatorics, representation theory, and complexity theory.
Robert P. Boyer, PhD (University of Pennsylvania) Associate Head of the Mathematics Department. Professor. Functional analysis, C*-algebras and the theory of group representations.
Patrick Clarke, PhD (University of Miami). Assistant Professor. Homological mirror symmetry, Landau-Ginzburg models, algebraic geometry, symplectic geometry.
Daryl Falco, MS (Drexel University). Assistant Teaching Professor. Discrete mathematics and automata theory.
Raymond Favocci, MS (Drexel University). Assistant Teaching Professor.
Carlo Fazioli, PhD ( University of Illinois at Chicago). Assistant Teaching Professor. Computational Fluid Dynamics, Free Boundary Problems.
Pavel Grinfeld, PhD (Massachusetts Institute of Technology). Associate Professor. Intersection of physics, engineering, applied mathematics and computational science.
Anatolii Grinshpan, PhD (University of California at Berkeley). Assistant Teaching Professor. Function theory and operator theory, harmonic analysis, matrix theory.
Yixin Guo, PhD (University of Pittsburgh). Associate Professor. Biomathematics, dynamical systems, ordinary and partial differential equations and math education.
R. Andrew Hicks, PhD (University of Pennsylvania). Professor. Geometry; optics; computer vision.
Pawel Hitczenko, PhD (Warsaw University). Professor. Probability theory and its applications to analysis, combinatorics, wavelets, and the analysis of algorithms.
Robert Immordino, MS (Drexel University). Assistant Teaching Professor.
Ryan Kaliszewski, PhD (The University of North Carolina at Chapel Hill). Visiting Assistant Professor. Algebraic Combinatorics and Algebraic Geometry--specifically positivity results for generating polynomials.
Dmitry Kaliuzhnyi-Verbovetskyi, PhD (Kharkov University). Associate Professor. Operator theory, systems theory, complex analysis, C*-algebras and harmonic analysis.
Hwan Yong Lee, PhD (University of Utah). Assistant Teaching Professor. Electromagnetic wave propagation in composite media, optimization and inverse problem.
Georgi S. Medvedev, PhD (Boston University). Associate Professor. Ordinary and partial differential equations, mathematical neuroscience.
Taoufik Meklachi, PhD (University of Houston). Visiting Assistant Professor. Inverse Problems
Jennifer Morse, PhD (University of California, San Diego) Undergraduate Advisor. Professor. Algebraic combinatorics.
Shari Moskow, PhD (Rutgers University) Department Head. Professor. Partial differential equations and numerical analysis, including homogenization theory, numerical methods for problems with rough coefficients, and inverse problems.
Marna A. Mozeff, MS (Drexel University). Associate Teaching Professor. Working with Freshmen
Oksana P. Odintsova, PhD (Omsk State University). Associate Teaching Professor. Math education; geometrical modeling.
Dimitrios Papadopoulos, MS (Drexel University). Instructor.
Ronald K. Perline, PhD (University of California at Berkeley). Associate Professor. Applied mathematics, numerical analysis, symbolic computation, differential geometry, mathematical physics.
Marci A. Perlstadt, PhD (University of California at Berkeley). Associate Professor. Applied mathematics, computed tomography, numerical analysis of function reconstruction, signal processing, combinatorics.
Adam C. Rickert, MS (Drexel University). Associate Teaching Professor.
Eric Schmutz, PhD (University of Pennsylvania). Professor. Probabilistic combinatorics, asymptotic enumeration.
Li Sheng, PhD (Rutgers University). Associate Professor. Discrete optimization, combinatorics, operations research, graph theory and its application in molecular biology, social sciences and communication networks, biostatistics.
Gideon Simpson, PhD (Columbia University). Assistant Professor. Partial differential equations, scientific computing and applied mathematics.
Justin R. Smith, PhD (Courant Institute, New York University). Professor. Homotopy theory, operad theory, quantum mechanics, quantum computing.
Xiaoming Song, PhD (University of Kansas). Assistant Professor. Stochastic Calculus, Large Deviation Theory, Theoretical Statistics, Data Network Modeling and Numerical Analysis.
Jeanne M. Steuber, MS (Boston University). Assistant Teaching Professor.
Kenneth P. Swartz, PhD (Harvard University). Assistant Teaching Professor. Applied statistics, data analysis, calculus, discrete mathematics, biostatistics.
Vaishalee T. Wadke, MS (Columbia University). Instructor.
Richard D. White, MS (Penn State University). Assistant Teaching Professor.
Hugo J. Woerdeman, PhD (Vrije Universiteit, Amsterdam). Professor. Matrix and operator theory, systems theory, signal and image processing, and harmonic analysis.
J. Douglas Wright, PhD (Boston University) Graduate Advisor. Associate Professor. Partial differential equations, specifically nonlinear waves and their interactions.
Dennis G. Yang, PhD (Cornell University). Assistant Teaching Professor. Dynamical systems, neurodynamics.
Thomas (Pok-Yin) Yu, PhD (Stanford University). Professor. Multiscale mathematics, wavelets, applied harmonic analysis, subdivision algorithms, nonlinear analysis, applied differential geometry and data analysis.

Emeritus Faculty

Loren N. Argabright, PhD (University of Washington). Professor Emeritus. Functional analysis, wavelets, abstract harmonic analysis, the theory of group representations.
Robert C. Busby, PhD (University of Pennsylvania). Professor Emeritus. Functional analysis, C*-algebras and group representations, computer science.
Ewaugh Finney Fields, EdD (Temple University) Dean Emeritus. Professor Emeritus. Mathematics education, curriculum and instruction, minority engineering education.
William M.Y. Goh, PhD (Ohio State University). Associate Professor Emeritus. Number theory, approximation theory and special functions, combinatorics, asymptotic analysis.
Bernard Kolman, PhD (University of Pennsylvania). Professor Emeritus. Lie algebras; theory, applications, and computational techniques; operations research.
Charles J. Mode, PhD (University of California at Davis). Professor Emeritus. Probability and statistics, biostatistics, epidemiology, mathematical demography, data analysis, computer-intensive methods.
Chris Rorres, PhD (Courant Institute, New York University). Professor Emeritus. Applied mathematics, scattering theory, mathematical modeling in biological sciences, solar-collection systems.
Jet Wimp, PhD (University of Edinburgh). Professor Emeritus. Applied mathematics, special factors, approximation theory, numerical techniques, asymptotic analysis.