The Bachelor of Science degree in Mathematics requires a minimum of 120 hours of coursework, with a minimum of 38 credits of MATH courses, including those in a specific BS concentration. In addition 26 hours of course work is a specific related area must be included.

BS in Mathematics with a concentration in Pure Mathematics

Prepares students for further study in mathematics at the graduate level, for jobs in service or public sectors where a high level of quantitative skills is prerequisite, particularly in the financial industry, or with further pedagogical training for careers as secondary educators.   The concentration provides the foundation for an appreciation of the broad area of modern mathematics namely topology/geometry, algebra and analysis.

BS in Mathematics with a concentration in Applied Mathematics

Prepares students for further study in applied mathematics at the graduate level, for jobs in industrial, service or public sectors where a high level of quantitative skills is prerequisite.  Examples of such career path include technical mathematicians, financial analysts, software engineers.    The concentration provides the foundation for an understanding of the theoretical and computational principles of applied mathematics with an emphasis on modeling real world phenomena.

BS in Mathematics with a concentration in Statistics 

Prepares students for further study in statistics at the graduate level, for jobs in industrial, service or public sectors where a knowledge of statistics is prerequisite.  Examples of such career path include business or financial analysts, data scientists, or market researchers.    The concentration provides the foundation for understanding of both the theory and applications of statistics, including the application of statistical methodology to real world problems and the proficient use of statistical software.

BS in Mathematics with a concentration in Applied Mathematics with Computer Science

Prepares students for further study in applied mathematics or computer science at the graduate level, for jobs in the industrial, service or public sectors where a high level of quantitative skills is combined with knowledge of computing is prerequisite.  Examples of such career path include technical mathematicians, financial analysts, software engineers.    The concentration provides foundation for an understanding of the theoretical and computational principles of applied mathematics with emphasis on the coding skills needed to solve real world problems.

BS in Mathematics with a concentration in Actuarial Science

Prepares students to enter the actuarial profession.  Actuaries work in finance, business and government and are concerned with the estimation of risk. They make a crucial contribution in the insurance industry.  The concentration provides the foundations in mathematics and finance needed to pass the examinations offered by the Society of Actuaries that are the gateway to the profession.

BS in Mathematics with a concentration in Data Science

Prepares student for further study of data science at the graduate level, for jobs business, industry and government that require a thorough understand for the statistical and computational principles required to extract information from data.  Examples of career path include data scientist, business or financial analyst, security analyst, or research assistant in various biomedical fields.  The concentration provides the foundations for both the computational skills needed to manipulate data and the statistical background needed to analyze it. 

For the Bachelor of Science degree in mathematics, a minimum of 38 credits of MATH courses, including those in a specific BS concentration must be completed. In addition 26 hours of course work is a specific related area must be included.

Pure Mathematics Concentration  

The following courses must be included:    

MATH 1840 Calculus II For Mathematicians, Scientists And Educators or MATH 1860 Single Variable Calculus II
MATH 1890 Elementary Linear Algebra or MATH 2890  Numerical Methods And Linear Algebra
MATH 2850 Elementary Multivariable Calculus
MATH 2190 Foundations of Mathematics or MATH 3190 Introduction To Mathematical Analysis

Pure Mathematics Courses

MATH 2860 Elementary Differential Equations    
MATH 4330 Abstract Algebra I    
MATH 4820 Introduction To Real Analysis I    
MATH 4880 Complex Variables    
Select one of the following:
    MATH 4300 Linear Algebra I    
    MATH 4450 Introduction To Topology I    
    MATH 4540 Classical Differential Geometry I    
Select one of the following:
    MATH 4830 Introduction To Real Analysis II    
    MATH 4340 Abstract Algebra II    
Two advanced MATH courses for 6 credits at the 3000 or 4000 level approved by the advisor

RELATED COURSES IN BACHELOR OF SCIENCE

The 24 semester hours of related area course work should be chosen according to the interests of the student in view of his or her anticipated career in mathematics. These courses could be in Accounting, Astronomy, Biology, Chemistry, Economics, Environmental Science, Engineering, Finance, Operations Analysis, Philosophy, Physics, Pharmacy and Pharmaceutical Sciences, Medicine and Life Sciences.

Choices include courses numbered 2000 to 4990 for the following departments:  ACCT, ASTR, BUAD, BIOE, CHEE, CHEM, CIVE, EBUS, EEES, FINA, GEOL, IBUS, IE, INBT, INBY, ISOM, ME, MIME, MGMT, MKTG, NASC, PHYS, PSLS, and TE; plus BIOL 2150 to 2180, 3000 to 4000; ECON 1150, 1200, 2000 to 4990; EECS 1100 to 4990.

COMBINED BACHELORS'S TO MASTER's -  BS to MS in Mathematics

Undergraduate students accepted to the BS to MS in Mathematics program option will be admitted to the MS in Mathematics  and allowed to complete up to three graduate-level classes (nine credit hours) during their final academic year of undergraduate studies. Students admitted into the pipeline program must apply for admission to the College of Graduate Studies for the semester that they intend to matriculate. They will then continue into the graduate program upon completion of the undergraduate degree requirements. The graduate coursework (up to nine hours) may be applied to the completion of both undergraduate and graduate degree requirements. It will be the joint responsibility of the faculty and administrators in the undergraduate and graduate programs to supervise students admitted to the combined program option, to ensure that the limit of nine hours taken as an undergraduate is strictly enforced, and to request that the College of Graduate Studies change their matriculation from Undergraduate to Graduate when they meet all undergraduate degree requirements.  

The following provisions apply for classes taken for graduate credit: 1) graduate classes taken at The University of Toledo only after the student is accepted in the program, 2)

MATH 5330  Abstract Algebra I,  MATH 5340Abstract Algebra II,    MATH 5450 Introduction to Topology I, MATH 5460 Introduction to Topology II, MATH 5820   Introduction to Real Analysis I,   MATH 5830  Introduction to Real Analysis II,   MATH 5880   Introduction to Complex Variables, may be included in the approved nine semester hours of graduate credit taken as an undergraduate. Students interested in the combined program must submit a graduate admission application to the College of Graduate Studies. 

Applied Mathematics Concentration

The following courses must be included:    

MATH 1840 Calculus II For Mathematicians, Scientists And Educators or MATH 1860 Single Variable Calculus II
MATH 1890 Elementary Linear Algebra or MATH 2890  Numerical Methods And Linear Algebra
MATH 2850 Elementary Multivariable Calculus
MATH 2190 Foundations of Mathematics or MATH 3190 Introduction To Mathematical Analysis

Applied Mathematics Courses:

MATH 3320 Introduction To Abstract Algebra or MATH 4330 Abstract Algebra I
MATH 2860 Elementary Differential Equations    
MATH 4300 Linear Algebra I or MATH 4350 Applied Linear Algebra
MATH 4820 Introduction To Real Analysis I or MATH 4880 Complex Variables
Select one of the following two-semester sequences:
    MATH 4710 Methods Of Numerical Analysis I & MATH 4720 Methods Of Numerical Analysis II
    MATH 4740 Advanced Applied Mathematics I & MATH 4750 Advanced Applied Mathematics II    
Select one of the following:
    MATH 3610 Statistical Methods I    
    MATH 4680 Introduction To Theory Of Probability    
    MATH 4800 Ordinary Differential Equations    
    MATH 4810 Partial Differential Equations    
    MATH 4860 Calculus Of Variations And Optimal Control I    
One advanced MATH elective course for 3 credits at the 3000 or 4000 level approved by the advisor.

RELATED COURSES IN BACHELOR OF SCIENCE

The 24 semester hours of related area course work should be chosen according to the interests of the student in view of his or her anticipated career in mathematics. These courses could be in Accounting, Astronomy, Biology, Chemistry, Economics, Environmental Science, Engineering, Finance, Operations Analysis, Philosophy, Physics, Pharmacy and Pharmaceutical Sciences, Medicine and Life Sciences.

Choices include courses numbered 2000 to 4990 for the following departments:  ACCT, ASTR, BUAD, BIOE, CHEE, CHEM, CIVE, EBUS, EEES, FINA, GEOL, IBUS, IE, INBT, INBY, ISOM, ME, MIME, MGMT, MKTG, NASC, PHYS, PSLS, and TE; plus BIOL 2150 to 2180, 3000 to 4000; ECON 1150, 1200, 2000 to 4990; EECS 1100 to 4990.

COMBINED BACHELORS'S TO MASTER's -  BS to MS in Mathematics

Undergraduate students accepted to the BS to MS in Mathematics program option will be admitted to the MS in Mathematics with a concentration in Applied Mathematics and allowed to complete up to three graduate level classes (nine credit hours) during their final academic year of undergraduate studies. Students admitted into the pipeline program must apply for admission to the College of Graduate Studies for the semester that they intend to matriculate. They will then continue in  to the graduate program upon completion of the undergraduate degree requirements. The graduate coursework (up to nine hours) may be applied to completion of both undergraduate and graduate degree requirements. It will be the joint responsibility of the faculty and administrators in the undergraduate and graduate programs to supervise students admitted to the combined program option, to ensure that the limit of nine hours taken as an undergraduate is strictly enforced, and to request that the College of Graduate Studies change their matriculation from Undergraduate to Graduate when they meet all undergraduate degree requirements.  

The following provisions apply for classes taken for graduate credit: 1) graduate classes taken at The University of Toledo only after the student is accepted in the program, 2)

  MATH 5710 Methods Of Numerical Analysis I,  MATH 5720 Methods Of Numerical Analysis II,    MATH 5820  Introduction to Real Analysis I,   MATH 5830 Introduction to Real Analysis II,   MATH 5880  Introduction  to Complex Variables, MATH 5800 Ordinary Differential Equations, MATH 5810 Partial Differential Equations, may be included in the approved nine semester hours of graduate credit taken as an undergraduate. Students interested in the combined program must submit a graduate admission application to the College of Graduate Studies. 

Statistics Concentration    

The following courses must be included:    

MATH 1840 Calculus II For Mathematicians, Scientists And Educators or MATH 1860 Single Variable Calculus II
MATH 1890 Elementary Linear Algebra or MATH 2890  Numerical Methods And Linear Algebra
MATH 2850 Elementary Multivariable Calculus
MATH 2190 Foundations of Mathematics or MATH 3190 Introduction To Mathematical Analysis

Statistices Courses:
MATH 3610 Statistical Methods I    
MATH 3620 Statistical Methods II    
MATH 4350 Applied Linear Algebra    
MATH 4600 Advanced Statistical Methods I    
MATH 4610 Applications Of Statistics II    
MATH 4680 Introduction To Theory Of Probability    
MATH 4690 Introduction To Mathematical Statistics    
MATH 2860 or one advanced MATH elective course for 3 credits at the 3000 or 4000 level approved by the advisor.

RELATED COURSES IN BACHELOR OF SCIENCE

The 24 semester hours of related area course work should be chosen according to the interests of the student in view of his or her anticipated career in mathematics. These courses could be in Accounting, Astronomy, Biology, Chemistry, Economics, Environmental Science, Engineering, Finance, Operations Analysis, Philosophy, Physics, Pharmacy and Pharmaceutical Sciences, Medicine and Life Sciences.

Choices include courses numbered 2000 to 4990 for the following departments:  ACCT, ASTR, BUAD, BIOE, CHEE, CHEM, CIVE, EBUS, EEES, FINA, GEOL, IBUS, IE, INBT, INBY, ISOM, ME, MIME, MGMT, MKTG, NASC, PHYS, PSLS, and TE; plus BIOL 2150 to 2180, 3000 to 4000; ECON 1150, 1200, 2000 to 4990; EECS 1100 to 4990.

COMBINED BACHELORS'S TO MASTER's -  BS to MS in Mathematics

Undergraduate students accepted to the BS to MS in Mathematics program option will be admitted to the MS in Mathematics with a concentration in Statistics and allowed to complete up to three graduate level classes (nine credit hours) during their final academic year of undergraduate studies. Students admitted into the pipeline program must apply for admission to the College of Graduate Studies for the semester that they intend to matriculate. They will then continue in  to the graduate program upon completion of the undergraduate degree requirements. The graduate coursework (up to nine hours) may be applied to completion of both undergraduate and graduate degree requirements. It will be the joint responsibility of the faculty and administrators in the undergraduate and graduate programs to supervise students admitted to the combined program option, to ensure that the limit of nine hours taken as an undergraduate is strictly enforced, and to request that the College of Graduate Studies change their matriculation from Undergraduate to Graduate when they meet all undergraduate degree requirements.  

The following provisions apply for classes taken for graduate credit: 1) graduate classes taken at The University of Toledo only after the student is accepted in the program, 2)

MATH 5600Advanced Statistics Methods I,  MATH 5610 Advanced Statistical Methods II,    MATH 5620  Linear Statistics Models,   MATH 5640 Statistical Computing,    MATH 5680 Introduction to the Theory of Probability, MATH 5690 Introduction to Mathematics Statistics,  may be included in the approved nine semester hours of graduate credit taken as an undergraduate. Students interested in the combined program must submit a graduate admission application to the College of Graduate Studies. 

Mathematics with Computer Science Concentration    

The following courses must be included:    

MATH 1840 Calculus II For Mathematicians, Scientists And Educators or MATH 1860 Single Variable Calculus II
MATH 1890 Elementary Linear Algebra or MATH 2890  Numerical Methods And Linear Algebra
MATH 2850 Elementary Multivariable Calculus
MATH 2190 Foundations of Mathematics or MATH 3190 Introduction To Mathematical Analysis

Computer Science Courses: 

MATH 2860 Elementary Differential Equations    
MATH 4380 Discrete Structures And Analysis Of Algorithms    
MATH 4710 Methods Of Numerical Analysis I    
MATH 3320 Introduction To Abstract Algebra or MATH 4330 Abstract Algebra I
MATH 4820 Introduction To Real Analysis I or MATH 4880 Complex Variables
Select one of the following:
    MATH 4350 Applied Linear Algebra        
    MATH 4720 Methods Of Numerical Analysis II    
Two advanced MATH courses for 6 credits at the 3000 or 4000 level approved by the advisor
The related area courses should include a total of 18 hours in EECS courses from EECS 1100 - EECS 4990. At least two of these courses should be from EECS 2500 or the 3000 or 4000 level as approved by the advisor.

RELATED COURSES IN BACHELOR OF SCIENCE

The 24 semester hours of related area course work should be chosen according to the interests of the student in view of his or her anticipated career in mathematics. These courses could be in Accounting, Astronomy, Biology, Chemistry, Economics, Environmental Science, Engineering, Finance, Operations Analysis, Philosophy, Physics, Pharmacy and Pharmaceutical Sciences, Medicine and Life Sciences.

Choices include courses numbered 2000 to 4990 for the following departments:  ACCT, ASTR, BUAD, BIOE, CHEE, CHEM, CIVE, EBUS, EEES, FINA, GEOL, IBUS, IE, INBT, INBY, ISOM, ME, MIME, MGMT, MKTG, NASC, PHYS, PSLS, and TE; plus BIOL 2150 to 2180, 3000 to 4000; ECON 1150, 1200, 2000 to 4990; EECS 1100 to 4990.

COMBINED BACHELORS'S TO MASTER's -  BS to MS in Mathematics

Undergraduate students accepted to the BS to MS in Mathematics program option will be admitted to the MS in Mathematics with a concentration in Applied Mathematics and allowed to complete up to three graduate level classes (nine credit hours) during their final academic year of undergraduate studies. Students admitted into the pipeline program must apply for admission to the College of Graduate Studies for the semester that they intend to matriculate. They will then continue in  to the graduate program upon completion of the undergraduate degree requirements. The graduate coursework (up to nine hours) may be applied to completion of both undergraduate and graduate degree requirements. It will be the joint responsibility of the faculty and administrators in the undergraduate and graduate programs to supervise students admitted to the combined program option, to ensure that the limit of nine hours taken as an undergraduate is strictly enforced, and to request that the College of Graduate Studies change their matriculation from Undergraduate to Graduate when they meet all undergraduate degree requirements.  

The following provisions apply for classes taken for graduate credit: 1) graduate classes taken at The University of Toledo only after the student is accepted in the program, 2)

  MATH 5710  Methods Of Numerical Analysis I,  MATH 5720  Methods Of Numerical Analysis II,    MATH 5820   Introduction to Real Analysis I,   MATH 5830  Introduction to Real Analysis II,   MATH 5880   Introduction to Complex Variables, MATH 5800  Ordinary Differential Equations, MATH 5810  Partial Differential Equations,  may be included in the approved nine semester hours of graduate credit taken as an undergraduate. Students interested in the combined program must submit a graduate admission application to the College of Graduate Studies. 

Actuarial Sciences Concentration  

The following courses must be included:    

MATH 1840 Calculus II For Mathematicians, Scientists And Educators or MATH 1860 Single Variable Calculus II
MATH 1890 Elementary Linear Algebra or MATH 2890  Numerical Methods And Linear Algebra
MATH 2850 Elementary Multivariable Calculus
MATH 2190 Foundations of Mathematics or MATH 3190 Introduction To Mathematical Analysis

 Actuarial Science Courses:

MATH 3610 Statistical Methods I    
MATH 3620 Statistical Methods II    
MATH 2860 Elementary Differential Equations    
MATH 4620 Theory Of Interest    
MATH 4680 Introduction To Theory Of Probability    
MATH 4690 Introduction To Mathematical Statistics    
MATH 4760 Actuarial Mathematics I    
MATH 4770 Actuarial Mathematics II    
The related area courses should include the following:
   ECON 1150 Principles Of Macroeconomics    
   ECON 1200 Principles Of Microeconomics    
   BUAD 1020 Micro-Computer Applications In Business    
   BUAD 2040 Financial Accounting Information    
   BUAD 2050 Accounting For Business Decision-Making    
   BUAD 3040 Principles Of Financial Management    
   FINA 3600 Risk Management    
   INFS 3150 Principles Of Structured Computer Programming And Problem Solving   

RELATED COURSES IN BACHELOR OF SCIENCE

The 24 semester hours of related area course work should be chosen according to the interests of the student in view of his or her anticipated career in mathematics. These courses could be in Accounting, Astronomy, Biology, Chemistry, Economics, Environmental Science, Engineering, Finance, Operations Analysis, Philosophy, Physics, Pharmacy and Pharmaceutical Sciences, Medicine and Life Sciences.

Choices include courses numbered 2000 to 4990 for the following departments:  ACCT, ASTR, BUAD, BIOE, CHEE, CHEM, CIVE, EBUS, EEES, FINA, GEOL, IBUS, IE, INBT, INBY, ISOM, ME, MIME, MGMT, MKTG, NASC, PHYS, PSLS, and TE; plus BIOL 2150 to 2180, 3000 to 4000; ECON 1150, 1200, 2000 to 4990; EECS 1100 to 4990.

COMBINED BACHELORS'S TO MASTER's -  BS to MS in Mathematics

Undergraduate students accepted to the BS to MS in Mathematics program option will be admitted to the MS in Mathematics with a concentration in Statistics and allowed to complete up to three graduate level classes (nine credit hours) during their final academic year of undergraduate studies. Students admitted into the pipeline program must apply for admission to the College of Graduate Studies for the semester that they intend to matriculate. They will then continue in  to the graduate program upon completion of the undergraduate degree requirements. The graduate coursework (up to nine hours) may be applied to completion of both undergraduate and graduate degree requirements. It will be the joint responsibility of the faculty and administrators in the undergraduate and graduate programs to supervise students admitted to the combined program option, to ensure that the limit of nine hours taken as an undergraduate is strictly enforced, and to request that the College of Graduate Studies change their matriculation from Undergraduate to Graduate when they meet all undergraduate degree requirements.  

The following provisions apply for classes taken for graduate credit: 1) graduate classes taken at The University of Toledo only after the student is accepted in the program, 2)

MATH 5600Advanced Statistics Methods I, MATH 5610 Advanced Statistical Methods II,   MATH 5620  Linear Statistics Models, MATH 5640 Statistical Computing, MATH 5680 Introduction to the Theory of Probability, MATH 5690 Introduction to Mathematics Statistics  may be included in the approved nine semester hours of graduate credit taken as an undergraduate. Students interested in the combined program must submit a graduate admission application to the College of Graduate Studies. 

Data Science Concentration

The following courses must be included:    

MATH 1840 Calculus II For Mathematicians, Scientists And Educators or MATH 1860 Single Variable Calculus II
MATH 1890 Elementary Linear Algebra or MATH 2890  Numerical Methods And Linear Algebra
MATH 2850 Elementary Multivariable Calculus
MATH 2190 Foundations of Mathematics or MATH 3190 Introduction To Mathematical Analysis

Data Scinece Courses:

MATH 1980 Topics in Mathematics: Intro to Data Science
MATH 2860 Elementary Differential Equations
MATH 3610 Statistical Methods I    
MATH 3620 Statistical Methods II    
MATH 4350 Applied Linear Algebra    
MATH 4600 Advanced Statistical Methods I    
MATH 4610 Applications Of Statistics II  
MATH 4640 Statistical Computing
MATH 4680 Introduction To Theory Of Probability    
MATH 4690 Introduction To Mathematical Statistics 
MATH 4940 Internship  
The related area courses should include the following:   
   PHIL 1010 Introduction to Logic
   EECS 1510 Object Oriented Programming
   EECS 2500 Linear Data Structures
   EECS 2510 Nonlinear Data Structures
   EECS 2520 Discrete Structures
   EECS 4560 Database Structure
   EECS 4590 Algorithms
   EECS 4740 Artificial Intelligence
   EECS 4750 Machine Learning

Related Courses in Bachelor of Science

The 26 semester hours of related area course work should be chosen according to the interests of the student in view of his or her anticipated career in mathematics. These courses could be in Accounting, Astronomy, Biology, Chemistry, Economics, Environmental Science, Engineering, Finance, Operations Analysis, Philosophy, Physics, Pharmacy and Pharmaceutical Sciences, Medicine and Life Sciences.

Choices include courses numbered 2000 to 4990 for the following departments:  ACCT, ASTR, BUAD, BIOE, CHEE, CHEM, CIVE, EBUS, EEES, FINA, GEOL, IBUS, IE, INBT, INBY, ISOM, ME, MIME, MGMT, MKTG, NASC, PHYS, PSLS, and TE; plus BIOL 2150 to 2180, 3000 to 4000; ECON 1150, 1200, 2000 to 4990; EECS 1100 to 4990.

BACHELOR OF SCIENCE IN MATHEMATICS

• Pure Mathematics Concentration 
• Applied Mathematics Concentration
• Statistics Concentration   
• Mathematics With Computer Science Concentration   
• Actuarial Sciences Concentration 
• Data Science Concentration

Bachelor of Science in Mathematics: Concentration: Pure Mathematics

Below is a sample plan of study.  Consult your degree audit for your program requirements.

Plan of Study Grid

First Term		Hours
NSM 1000	Foundations of Academic Success for Science and Math Majors	2
MATH 1830 or MATH 1850	Calculus I For Mathematicians, Scientists And Educators or Single Variable Calculus I	4
ENGL 1110	College Composition I	3
Natural Sciences Core		4
Natural Science Core Laboratory		1
	Hours	14
Second Term
MATH 1840 or MATH 1860	Calculus II For Mathematicians, Scientists And Educators or Single Variable Calculus II	4
ENGL 1130	College Composition II: Academic Disciplines And Discourse	3
Natural Sciences Core		3
Social Sciences Core		3
Diversity of US		3
	Hours	16
Third Term
MATH 2850	Elementary Multivariable Calculus	4
MATH 3190 or MATH 2190	Introduction To Mathematical Analysis or Foundations of Mathematics	3
Non-US Diversity		3
Arts/Humanities Core		3
NSM Science Elective		4
	Hours	17
Fourth Term
MATH 3320	Introduction To Abstract Algebra 1	3
MATH 2860	Elementary Differential Equations	3
MATH 1890 or MATH 2890	Elementary Linear Algebra or Numerical Methods And Linear Algebra	3
Related Field		4
	Hours	13
Fifth Term
MATH 4330 or MATH 4820	Abstract Algebra I or Introduction To Real Analysis I	3
NSM Science Elective		3
Arts/Humanities Core		3
Elective		3
Related Elective		3
	Hours	15
Sixth Term
MATH 4880	Complex Variables	3
MATH 4340 or MATH 4830	Abstract Algebra II or Introduction To Real Analysis II	3
Social Sciences Core/NSM Science Elective		6
Writing Across the Curriculum (WAC)		3
	Hours	15
Seventh Term
MATH 4820 or MATH 4330	Introduction To Real Analysis I or Abstract Algebra I	3
Select one of the folowing:		3
MATH 4450	Introduction To Topology I
MATH 4300	Linear Algebra I
MATH 4540	Classical Differential Geometry I
Advanced Math Elective		3
Related Electives		6
	Hours	15
Eighth Term
Advanced Math Elective		3
Elective 1		3
Related Electives		9
	Hours	15
	Total Hours	120

Below is the plan of study for BS to MS in Mathematics pipeline program.  For more information on course selection consult with you advisor. 

Plan of Study Grid

First Term		Hours
NSM 1000	Foundations of Academic Success for Science and Math Majors	2
MATH 1830 or MATH 1850	Calculus I For Mathematicians, Scientists And Educators or Single Variable Calculus I	4
ENGL 1110	College Composition I	3
Natural Sciences Core		4
Natural Sciences Laboratory		1
	Hours	14
Second Term
MATH 1840 or MATH 1860	Calculus II For Mathematicians, Scientists And Educators or Single Variable Calculus II	4
ENGL 1130	College Composition II: Academic Disciplines And Discourse	3
Natural Sciences Core		3
Social Sciences Core		3
Diversity of US		3
	Hours	16
Third Term
MATH 2850	Elementary Multivariable Calculus	4
MATH 3190 or MATH 2190	Introduction To Mathematical Analysis or Foundations of Mathematics	3
Non-US Diversity		3
Arts/Humanities Core		3
NSM Science Elective		4
	Hours	17
Fourth Term
MATH 2860	Elementary Differential Equations	3
MATH 1890 or MATH 2890	Elementary Linear Algebra or Numerical Methods And Linear Algebra	3
NSM Science Elective		4
Related Fields		3
	Hours	13
Fifth Term
MATH 4330	Abstract Algebra I (or MATH 4820 Intro to Real Analysis I or MATH 4450 Intro to Topology I)	3
MATH 4300	Linear Algebra I	3
Arts/Humanities Core		3
Elective		3
Related Fields		3
	Hours	15
Sixth Term
MATH 4340	Abstract Algebra II (or MATH 4830 Intro to Real Analysis II or MATH 4460 Intro to Topology II)	3
Related Field or Elective		3
Social Sciences Core		3
NSM Science Elective		3
Writing Across the Curriculum (WAC) Non-major		3
	Hours	15
Seventh Term
MATH 5330	Abstract Algebra I (or MATH 5450 Intro to Topology I or MATH 5830 Intro to Real Analysis I)	3
Advanced Math Electives		6
Related Fields		6
	Hours	15
Eighth Term
MATH 5340	Abstract Algebra II (or MATH 5460 Intro to Topology II or MATH 5830 Intro to Real Analysis II)	3
MATH 5880	Complex Variables	3
Related Fields or Electives		9
	Hours	15
Ninth Term
Summer Semester
Graduate Summer Topics Class		3
	Hours	3
Tenth Term
MATH 6800	Real Analysis I (or MATH6300 Algebra I or MATH 6400 Topology I)	3
MATH 5820	Introduction To Real Analysis I (or MATH 5330 Abstract Algebra I or MATH 5450 Intro to Topology I)	3
Graduate Math Elective		3
	Hours	9
Eleventh Term
MATH 6810	Real Analysis II (or MATH 6310 Algebra II or MATH6410 Topology II)	3
MATH 5830	Introduction To Real Analysis II (or MATH 5340 Abstract Algebra II or MATH 5460 Intro to Topology II)	3
Graduate Math Elective		3
	Hours	9
	Total Hours	141

¹

 Recommended 3000/4000 elective

 

Bachelor of Science in Mathematics: Concentration: Applied Mathematics

Below is a sample plan of study.  Consult your degree audit for your program requirements.

Plan of Study Grid

First Term		Hours
NSM 1000	Foundations of Academic Success for Science and Math Majors	2
MATH 1830 or MATH 1850	Calculus I For Mathematicians, Scientists And Educators or Single Variable Calculus I	4
ENGL 1110	College Composition I	3
Natural Sciences Core		4
Natural Sciences Laboratory		1
	Hours	14
Second Term
MATH 1840 or MATH 1860	Calculus II For Mathematicians, Scientists And Educators or Single Variable Calculus II	4
ENGL 1130	College Composition II: Academic Disciplines And Discourse	3
Natural Sciences Core		4
Social Sciences Core		3
Diversity of US		3
	Hours	17
Third Term
MATH 2850	Elementary Multivariable Calculus	4
MATH 3190 or MATH 2190	Introduction To Mathematical Analysis or Foundations of Mathematics	3
Non-US Diversity		3
Arts/Humanities Core		3
NSM Science Elective		3
	Hours	16
Fourth Term
MATH 2860	Elementary Differential Equations	3
MATH 3320	Introduction To Abstract Algebra (or Related Field or Elective) 1	3
MATH 1890 or MATH 2890	Elementary Linear Algebra or Numerical Methods And Linear Algebra	3
Arts/Humanities Core		3
Related Field or Elective		3
	Hours	15
Fifth Term
MATH 4710 or MATH 4740	Methods Of Numerical Analysis I or	3
MATH 4330	Abstract Algebra I (or Related Field or Elective)	3
NSM Science Elective		4
Related Field or Elective		3
	Hours	13
Sixth Term
MATH 4720 or MATH 4750	Methods Of Numerical Analysis II or	3
MATH 4880 or MATH 4820	Complex Variables or Introduction To Real Analysis I	3
Social Sciences Core		3
NSM Science Elective		3
Writing Across the Curriculum (WAC)		3
	Hours	15
Seventh Term
MATH 4820 or MATH 4880	Introduction To Real Analysis I (or Related Field or Elective) or Complex Variables	3
Select one of the following:		3
MATH 3610	Statistical Methods I
MATH 4680	Introduction To Theory Of Probability
MATH 4800	Ordinary Differential Equations
MATH 4810	Partial Differential Equations
MATH 4860
MATH 4350 or MATH 4300	Applied Linear Algebra or Linear Algebra I	3
Related Field or Elective		3
Related Field or Elective		3
	Hours	15
Eighth Term
MATH 4300 or MATH 4350	Linear Algebra I ( or Related Field or Elective) or Applied Linear Algebra	3
Math Elective 3000-4000 Level		3
Related Field or Elective		3
Related Field or Elective		3
Related Field or Elective		3
	Hours	15
	Total Hours	120

Below is the plan of study for students in the BS to MS program.  Consult your advisor for the exact sequencing of courses.   

Plan of Study Grid

First Term		Hours
NSM 1000	Foundations of Academic Success for Science and Math Majors	2
MATH 1830 or MATH 1850	Calculus I For Mathematicians, Scientists And Educators or Single Variable Calculus I	4
ENGL 1110	College Composition I	3
Natural Science Core		4
Natural Science Laboratory		1
	Hours	14
Second Term
ENGL 1130	College Composition II: Academic Disciplines And Discourse	3
MATH 1840 or MATH 1860	Calculus II For Mathematicians, Scientists And Educators or Single Variable Calculus II	4
Natural Science Core		4
Social Science Core		3
Diversity of US		3
	Hours	17
Third Term
MATH 2850	Elementary Multivariable Calculus	4
MATH 3190	Introduction To Mathematical Analysis	3
Non-US Diversity		3
NSM Science Elective		3
Art/Humanities Core		3
	Hours	16
Fourth Term
MATH 3320 or MATH 4330	Introduction To Abstract Algebra (or Related Field or Elective) or Abstract Algebra I	3
MATH 2860	Elementary Differential Equations	3
MATH 1890 or MATH 2890	Elementary Linear Algebra or Numerical Methods And Linear Algebra	3
Art/Humanities Core		3
Related Field or Elective		3
	Hours	15
Fifth Term
MATH 4710	Methods Of Numerical Analysis I	3
MATH 4330 or MATH 3320	Abstract Algebra I (or Related Field or Elective) or Introduction To Abstract Algebra	3
NSM Science Elective		3
Related Field or Elective		3
	Hours	12
Sixth Term
MATH 4720	Methods Of Numerical Analysis II	3
Social Science Core		3
NSM Science Elective		4
Non Departmental Writing Across the Curriculum (WAC)		3
Related Field or Elective		3
	Hours	16
Seventh Term
MATH 5820	Introduction To Real Analysis I	3
MATH 4300 or MATH 4350	Linear Algebra I (or Related Field or Elective) or Applied Linear Algebra	3
MATH 4800	Ordinary Differential Equations	3
Related Field or Elective		6
	Hours	15
Eighth Term
MATH 4350 or MATH 4300	Applied Linear Algebra (0r Related Field or Elective) or Linear Algebra I	3
MATH 5830	Introduction To Real Analysis II	3
MATH 5810	Partial Differential Equations	3
Related Field or Elective		6
	Hours	15
Ninth Term
Summer Semester
MATH 6980	Topics In Mathematical Sciences	3
	Hours	3
Tenth Term
MATH 6500	Ordinary Differential Equations	3
Graduate Math Elective		6
	Hours	9
Eleventh Term
MATH 6510	Partial Differential Equations	3
MATH 5880	Complex Variables	3
Graduate Math Elective		3
	Hours	9
	Total Hours	141

¹

May take MATH 4330 instead in fall semester.

Bachelor of Science in Mathematics: Concentration: Computer Science

Below is a sample program of study. Consult your degree audit for your program requirements.

Plan of Study Grid

First Term		Hours
NSM 1000	Foundations of Academic Success for Science and Math Majors	2
MATH 1830 or MATH 1850	Calculus I For Mathematicians, Scientists And Educators or Single Variable Calculus I	4
ENGL 1110	College Composition I	3
Natural Science Core		4
Natural Science Core Laboratory		1
	Hours	14
Second Term
MATH 1840 or MATH 1860	Calculus II For Mathematicians, Scientists And Educators or Single Variable Calculus II	4
ENGL 1130	College Composition II: Academic Disciplines And Discourse	3
Natural Science Core		4
Social Science Core		3
Diversity of US		3
	Hours	17
Third Term
MATH 2850	Elementary Multivariable Calculus	4
MATH 3190 or MATH 2190	Introduction To Mathematical Analysis or Foundations of Mathematics	3
Non-US Diversity		3
NSM Science Elective		3
Arts/Humanities Core		3
	Hours	16
Fourth Term
MATH 3320 or MATH 4330	Introduction To Abstract Algebra (or Related Field or Elective) or Abstract Algebra I	3
MATH 2860	Elementary Differential Equations	3
MATH 1890 or MATH 2890	Elementary Linear Algebra or Numerical Methods And Linear Algebra	3
Arts/Humanities Core		3
EECS elective		3
	Hours	15
Fifth Term
MATH 4710	Methods Of Numerical Analysis I	3
MATH 4330 or MATH 3320	Abstract Algebra I (or Related Field or Elective) or Introduction To Abstract Algebra	3
NSM Science Elective		3
EECS elective		3
	Hours	12
Sixth Term
MATH 4720 or MATH 4350	Methods Of Numerical Analysis II or Applied Linear Algebra	3
MATH 4880 or MATH 4820	Complex Variables (or Related Field or Elective) or Introduction To Real Analysis I	3
Social Sciences Core		3
EECS elective		3
Writing Across the Curriculum (WAC)		3
	Hours	15
Seventh Term
MATH 4380	Discrete Structures And Analysis Of Algorithms	3
EECS 2500	Linear Data Structures (or EECS 3000- 4000 level)	4
MATH 4820 or MATH 4880	Introduction To Real Analysis I (or Math Elective 3000-4000 Level) or Complex Variables	3
EECS elective		3
NSM Science Elective		3
	Hours	16
Eighth Term
Math Elective 3000-4000 Level		3
EECS 3000-4000 level course or EECS 2500		3
Related Field or Elective		3
Related Field or Elective		3
Related Field or Elective		3
	Hours	15
	Total Hours	120

Below is the plan of study for students in the BS to MS program.  Consult your advisor for the exact sequencing of courses.

Plan of Study Grid

First Term		Hours
NSM 1000	Foundations of Academic Success for Science and Math Majors	2
MATH 1830 or MATH 1850	Calculus I For Mathematicians, Scientists And Educators or Single Variable Calculus I	4
ENGL 1110	College Composition I	3
Natural Sciences Core		4
Natural Sciences Laboratory		1
	Hours	14
Second Term
MATH 1840 or MATH 1860	Calculus II For Mathematicians, Scientists And Educators or Single Variable Calculus II	4
ENGL 1130	College Composition II: Academic Disciplines And Discourse	3
Natural Sciences Core		4
Social Sciences Core		3
Diversity of US		3
	Hours	17
Third Term
MATH 2850	Elementary Multivariable Calculus	4
MATH 3190 or MATH 2190	Introduction To Mathematical Analysis or Foundations of Mathematics	3
Non-US Diversity		3
NSM Science Elective		3
Arts/Humanities Core		3
	Hours	16
Fourth Term
MATH 3320 or MATH 4330	Introduction To Abstract Algebra (or Related Field or Elective) or Abstract Algebra I	3
MATH 2860	Elementary Differential Equations	3
MATH 1890 or MATH 2890	Elementary Linear Algebra or Numerical Methods And Linear Algebra	3
Arts/Humanities Core		3
EECS Elective		3
	Hours	15
Fifth Term
MATH 4710	Methods Of Numerical Analysis I	3
MATH 4330 or MATH 3320	Abstract Algebra I (or Related Field or Elective) or Introduction To Abstract Algebra	3
NSM Science Elective		3
EECS Elective		3
	Hours	12
Sixth Term
MATH 4720	Methods Of Numerical Analysis II	3
MATH 4880 or MATH 4820	Complex Variables (or Related Field or Elective) or Introduction To Real Analysis I	3
Social Science Core		3
EECS Elective		3
Writing Across the Curriculum (WAC)		3
	Hours	15
Seventh Term
MATH 4380	Discrete Structures And Analysis Of Algorithms	3
EECS 2500	Linear Data Structures (or EECS 3000-4000 level course)	4
MATH 5820	Introduction To Real Analysis I	3
MATH 4800	Ordinary Differential Equations	3
NSM Science Elective		3
	Hours	16
Eighth Term
MATH 5830	Introduction To Real Analysis II	3
MATH 5810	Partial Differential Equations	3
MATH 4350	Applied Linear Algebra	3
EECS 3000-4000 level course or EECS 2500		3
Elective or related field		3
	Hours	15
Ninth Term
Summer Semester
Graduate Summer Topics Class		3
	Hours	3
Tenth Term
MATH 6500	Ordinary Differential Equations	3
Graduate Math Elective		3
Graduate Math Elective		3
	Hours	9
Eleventh Term
MATH 6510	Partial Differential Equations	3
MATH 5880	Complex Variables	3
Graduate Math Elective		3
	Hours	9
	Total Hours	141

 

Bachelor of Science in Mathematics: Concentration: Statistics

Below is a sample plan of study. Consult your degree audit for your program requirements.

Plan of Study Grid

First Term		Hours
NSM 1000	Foundations of Academic Success for Science and Math Majors	2
MATH 1830 or MATH 1850	Calculus I For Mathematicians, Scientists And Educators or Single Variable Calculus I	4
ENGL 1110	College Composition I	3
Natural Sciences Core		4
Natural Sciences Laboratory		1
	Hours	14
Second Term
MATH 1840 or MATH 1860	Calculus II For Mathematicians, Scientists And Educators or Single Variable Calculus II	4
ENGL 1130	College Composition II: Academic Disciplines And Discourse	3
Natural Sciences Core		4
Social Science Core		3
Diversity of US		3
	Hours	17
Third Term
MATH 2850	Elementary Multivariable Calculus	4
MATH 3190 or MATH 2190	Introduction To Mathematical Analysis or Foundations of Mathematics	3
MATH 3610	Statistical Methods I	3
Non-US Diversity		3
NSM Science Elective		3
	Hours	16
Fourth Term
MATH 1890 or MATH 2890	Elementary Linear Algebra or Numerical Methods And Linear Algebra	3
MATH 3620	Statistical Methods II	3
Arts/Humanities Core		3
Social Sciences Core		3
NSM Science Elective		4
	Hours	16
Fifth Term
MATH 4680	Introduction To Theory Of Probability	3
NSM Science Elective		3
Arts/Humanities Core		3
Related Field or Elective		3
Related Field or Elective		3
	Hours	15
Sixth Term
MATH 4690	Introduction To Mathematical Statistics	3
Writing Across the Curriculum (WAC)		3
Related Field or Elective		3
Related Field or Elective		3
Related Field or Elective		3
	Hours	15
Seventh Term
MATH 4600	Advanced Statistical Methods I	3
Math Elective 3000-4000 Level		3
Related Field or Elective		3
Related Field or Elective		3
Related Field or Elective		3
	Hours	15
Eighth Term
MATH 4350	Applied Linear Algebra	3
MATH 4610	Applications Of Statistics II	3
Related Field or Elective		3
Related Field or Elective		3
	Hours	12
	Total Hours	120

 Below is the plan of study for students in the BS to MS program.  Consult your advisor for the exact sequencing of courses.

Plan of Study Grid

First Term		Hours
NSM 1000	Foundations of Academic Success for Science and Math Majors	2
MATH 1830 or MATH 1850	Calculus I For Mathematicians, Scientists And Educators or Single Variable Calculus I	4
ENGL 1110	College Composition I	3
Natural Sciences Core		4
Natural Sciences Laboratory		1
	Hours	14
Second Term
MATH 1840 or MATH 1860	Calculus II For Mathematicians, Scientists And Educators or Single Variable Calculus II	4
ENGL 1130	College Composition II: Academic Disciplines And Discourse	3
Natural Sciences Core		4
Social Sciences Core		3
Diversity of US		3
	Hours	17
Third Term
MATH 2850	Elementary Multivariable Calculus	4
MATH 3190 or MATH 2190	Introduction To Mathematical Analysis or Foundations of Mathematics	3
MATH 3610	Statistical Methods I	3
Non-US Diversity		3
NSM Science Elective		3
	Hours	16
Fourth Term
MATH 1890 or MATH 2890	Elementary Linear Algebra or Numerical Methods And Linear Algebra	3
MATH 3620	Statistical Methods II	3
Arts/Humanities Core		3
Social Sciences Core		3
NSM Science Elective		4
	Hours	16
Fifth Term
MATH 4680	Introduction To Theory Of Probability	3
NSM Science Elective		3
Arts and Humanities Core		3
Related Field or Elective		3
Related Field or Elective		3
	Hours	15
Sixth Term
MATH 4690	Introduction To Mathematical Statistics	3
Writing Across the Curriculum(WAC)		3
Related Field or Elective		3
Related Field or Elective		3
Related Field or Elective		3
	Hours	15
Seventh Term
MATH 5600	Advanced Statistical Methods I	3
MATH 4640	Statistical Computing	3
Related Field or Elective		3
Related Field or Elective		3
Related Field or Elective		3
	Hours	15
Eighth Term
MATH 4350	Applied Linear Algebra	3
MATH 5610	Advanced Statistical Methods II	3
MATH 5620	Linear Statistical Models	3
Related Field or Elective		3
	Hours	12
Ninth Term
Summer Semester
Graduate Summer Topics Classes		6
	Hours	6
Tenth Term
MATH 6620	Categorical Data Analysis	3
MATH 6630	Nonparametric Statistics	3
MATH 6650	Statistical Inference	3
	Hours	9
Eleventh Term
MATH 5630	Theory And Methods Of Sample Surveys	3
MATH 6690	Multivariate Statistics	3
Graduate Math Elective		3
	Hours	9
	Total Hours	144

 

Bachelor of Science in Mathematics: Concentration: Actuarial Science

Below is a sample plan of study. Consult your degree audit for your program requirements.

Plan of Study Grid

First Term		Hours
NSM 1000	Foundations of Academic Success for Science and Math Majors	2
MATH 1840 or MATH 1860	Calculus II For Mathematicians, Scientists And Educators 1 or Single Variable Calculus II	4
ENGL 1110	College Composition I	3
ECON 1150	Principles Of Macroeconomics	3
	Hours	12
Second Term
MATH 2850	Elementary Multivariable Calculus	4
MATH 1890 or MATH 2890	Elementary Linear Algebra or Numerical Methods And Linear Algebra	3
ENGL 1130	College Composition II: Academic Disciplines And Discourse	3
ECON 1200	Principles Of Microeconomics	3
BUAD 1020	Micro-Computer Applications In Business	3
	Hours	16
Third Term
MATH 4680	Introduction To Theory Of Probability	3
MATH 3190 or MATH 2190	Introduction To Mathematical Analysis or Foundations of Mathematics	3
BUAD 2040	Financial Accounting Information	3
Natural Science Core		4
Natural Science Core Laboratory		1
Arts/Humanities Core		3
	Hours	17
Fourth Term
MATH 4690	Introduction To Mathematical Statistics	3
MATH 4620	Theory Of Interest (For actuarial FM exam)	3
Arts/Humanities Core		3
Natural Science Core		3
Related Field or Elective		3
	Hours	15
Fifth Term
MATH 3610	Statistical Methods I	3
MATH 2860	Elementary Differential Equations	3
BUAD 2050	Accounting For Business Decision-Making	3
Social Science Core		3
NSM Science Elective		3
	Hours	15
Sixth Term
MATH 3620	Statistical Methods II	3
BUAD 3040	Principles Of Financial Management	3
Writing Across the Curriculum (WAC)		3
Diversity of US		3
NSM Science Elective		3
	Hours	15
Seventh Term
MATH 4760	Actuarial Mathematics I	3
FINA 3600	Risk Management	3
Non-US Diversity		3
Related Field or Elective		3
NSM Science Elective		3
	Hours	15
Eighth Term
MATH 4770	Actuarial Mathematics II	3
INFS 3150	Principles Of Structured Computer Programming And Problem Solving	3
Related Field or Elective		9
	Hours	15
	Total Hours	120

¹

Actuarial Science students need to start in Calculus II or may take MATH 2850 in the summer.

 Below is the plan of study for students in the BS to MS program.  Consult your advisor for the exact sequencing of courses.

Plan of Study Grid

First Term		Hours
NSM 1000	Foundations of Academic Success for Science and Math Majors	2
MATH 1840 or MATH 1860	Calculus II For Mathematicians, Scientists And Educators or Single Variable Calculus II	4
ENGL 1110	College Composition I	3
ECON 1150	Principles Of Macroeconomics	3
	Hours	12
Second Term
MATH 2850	Elementary Multivariable Calculus	4
MATH 1890 or MATH 2890	Elementary Linear Algebra or Numerical Methods And Linear Algebra	3
ENGL 1130	College Composition II: Academic Disciplines And Discourse	3
ECON 1200	Principles Of Microeconomics	3
BUAD 1020	Micro-Computer Applications In Business	3
	Hours	16
Third Term
MATH 4680	Introduction To Theory Of Probability	3
MATH 3190 or MATH 2190	Introduction To Mathematical Analysis or Foundations of Mathematics	3
BUAD 2040	Financial Accounting Information	3
Natural Sciences Core		4
Natural Sciences Laboratory		1
Arts/Humanities Core		3
	Hours	17
Fourth Term
MATH 4690	Introduction To Mathematical Statistics	3
MATH 4620	Theory Of Interest	3
Arts/Humanities Core		3
Natural Science Core		3
Related Field or Elective		3
	Hours	15
Fifth Term
MATH 2860	Elementary Differential Equations	3
MATH 4760	Actuarial Mathematics I	3
BUAD 2050	Accounting For Business Decision-Making	3
Social Science Core		3
NSM Science Elective		3
	Hours	15
Sixth Term
MATH 4770	Actuarial Mathematics II	3
BUAD 3040	Principles Of Financial Management	3
Writing Across the Curriculum (WAC)		3
Diversity of US		3
NSM Science Elective		3
	Hours	15
Seventh Term
MATH 5600	Advanced Statistical Methods I	3
MATH 4640	Statistical Computing	3
FINA 3600	Risk Management	3
Non-US Diversity		3
NSM Science Elective		3
	Hours	15
Eighth Term
MATH 5610	Advanced Statistical Methods II	3
MATH 5620	Linear Statistical Models	3
INFS 3150	Principles Of Structured Computer Programming And Problem Solving	3
Related Field or Elective		3
Related Field or Elective		3
	Hours	15
Ninth Term
Summer Semester
Graduate Summer Topics Courses		6
	Hours	6
Tenth Term
MATH 6620	Categorical Data Analysis	3
MATH 6630	Nonparametric Statistics	3
MATH 6650	Statistical Inference	3
	Hours	9
Eleventh Term
MATH 5630	Theory And Methods Of Sample Surveys	3
MATH 6690	Multivariate Statistics	3
Graduate Math Elective		3
	Hours	9
	Total Hours	144

 

Bachelor of Science in Mathematics: Concentration: Data Science

Below is a sample plan of study.  Consult your degree audit for your program requirements.

Plan of Study Grid

First Term		Hours
NSM 1000	Foundations of Academic Success for Science and Math Majors	2
MATH 1830 or MATH 1850	Calculus I For Mathematicians, Scientists And Educators or Single Variable Calculus I	4
ENGL 1110	College Composition I	3
PHIL 1010	Introduction To Logic	3
Natural Sciences Core		4
Natural Science Core Laboratory		1
	Hours	17
Second Term
MATH 1840 or MATH 1860	Calculus II For Mathematicians, Scientists And Educators or Single Variable Calculus II	4
MATH 1980	Topics In Mathematics (Intro to Data Science)	1
EECS 1510	Introduction To Object Oriented Programming	3
ENGL 1130	College Composition II: Academic Disciplines And Discourse	3
Diversity of US		3
	Hours	14
Third Term
MATH 1890	Elementary Linear Algebra	3
MATH 2850	Elementary Multivariable Calculus	4
MATH 3610	Statistical Methods I	3
EECS 2500	Linear Data Structures	3
Non-US Diversity		3
	Hours	16
Fourth Term
MATH 2190	Foundations of Mathematics	3
MATH 2860	Elementary Differential Equations	3
MATH 3620	Statistical Methods II	3
EECS 2510	Non-Linear Data Structures	3
EECS 2520	Discrete Structures	3
	Hours	15
Fifth Term
MATH 4680	Introduction To Theory Of Probability	3
MATH 4640	Statistical Computing	3
EECS 4560	Database Systems I	3
NSM Science Elective		4
Arts/Humanities Core		3
	Hours	16
Sixth Term
MATH 4350	Applied Linear Algebra	3
MATH 4690	Introduction To Mathematical Statistics	3
Social Science Core		3
NSM Science Elective		4
Arts/Humanities Core		3
	Hours	16
Seventh Term
MATH 4600	Advanced Statistical Methods I	3
EECS 4750	Machine Learning	3
EECS 4590	Algorithms	3
EECS 4740	Artificial Intelligence	3
Social Science Core		3
	Hours	15
Eighth Term
MATH 4610	Applications Of Statistics II	3
EECS Elective		3
MATH 4940	Internship in the Mathematical Sciences	3
Elective		3
Elective (WAC)		3
	Hours	15
	Total Hours	124

¹

 Recommended 3000/4000 elective

• PLO 1. Students will produce and judge the validity of rigorous mathematical arguments.
• PLO 2. Students will explain and illustrate mathematical ideas and arguments.
• PLO 3. Students will read and construct mathematical proofs.
• PLO 4. Students will construct proofs and/or derivations of mathematical statements.