Please click here to see Mathematical and Statistical Sciences department information.
This is a unique program where a student can obtain both a BS in Mathematics and MS in Statistics in five years through a specialized course sequence. The program requires 12 fewer credits than if both degrees were earned separately.
These program requirements are subject to periodic revision by the academic department, and the College of Liberal Arts and Sciences reserves the right to make exceptions and substitutions as judged necessary in individual cases. Therefore, the College strongly urges students to consult regularly with their program advisor and CLAS advisor to confirm the best plans of study before finalizing them.
- This is an on-campus program.
Declaring This Major
- Click here to go to information about declaring a major.
To earn a degree, students must satisfy all requirements in each of the three areas below, in addition to their individual major requirements.
- CU Denver General Graduation Requirements
- CU Denver Core Curriculum
- College of Liberal Arts & Sciences Graduation Requirements
- Click here for information about Academic Policies
Program Requirements for Mathematics BS
While students are completing a BS degree in Mathematics, they may also complete some of the requirements for an MS degree in Statistics by participating in the BS/MS program using the following guidelines:
- The student must apply and be accepted for participation in the BS/MS program prior to completion of the BS degree in consultation with both the undergraduate and graduate advisors. Students must complete a 4+1 intent form to formally declare this program, as they work very closely with undergraduate and graduate advisors to ensure they are on track and completing requirements as necessary.
- Students should declare their intent to complete this program in their junior or senior year to the Director of the Program in Applied Mathematics after completing MATH 1401 Calculus I, MATH 2411 Calculus II, MATH 2421 Calculus III, MATH 3000 Introduction to Abstract Mathematics, MATH 3191 Applied Linear Algebra, MATH 4310 Introduction to Real Analysis I. A 3.0 grade point average (GPA) is required over all mathematics courses.
- Students must complete a total of 45 credit hours, including a minimum of 42 MATH credit hours.
- Students must complete at least 30 upper-division (3000-level and above) credit hours in the major.
- Students must earn a minimum grade of C- (1.7) in all undergraduate courses taken at CU Denver and must achieve a minimum cumulative undergraduate GPA of 2.25. Students must earn a minimum grade of B- (2.7) in all graduate courses taken at CU Denver and must achieve a minimum cumulative major GPA of 3.0, for all courses that will apply to the MS. All graded attempts in required and elective courses are calculated in the major GPA. Students cannot complete major or ancillary course requirements as pass/fail.
- Students must complete a minimum of 15 upper-division level MATH credit hours and all graduate level credit hours with CU Denver faculty.
- Up to 12 semester hours of graduate-level course work may be taken as an undergraduate and applied toward the MS degree in Statistics.
- In the semester in which the student intends to complete their BS, students must apply for admission into MS degree in Statistics.
Mathematics, BS Course Requirements
|Take one of the following programming requirements:||3-4|
& CSCI 1411
|Fundamentals of Computing|
and Fundamentals of Computing Laboratory
|MATH 1376||Programming for Data Science||3|
|Take all of the following Mathematics courses:||24|
|MATH 1401||Calculus I||4|
|MATH 2411||Calculus II||4|
|MATH 2421||Calculus III||4|
|MATH 3000||Introduction to Abstract Mathematics||3|
|MATH 3191||Applied Linear Algebra||3|
|MATH 3382||Statistical Theory||3|
|MATH 4310||Introduction to Real Analysis I||3|
|Take two approved MATH electives (at least six semester hours) above the 3000 level, excluding 3195, 3511, 3800, 3999, and 4830.||6|
|MATH 3200||Elementary Differential Equations||3|
|MATH 3301||Introduction to Optimization||3|
|MATH 3302||Simulation in Operations Research||3|
|MATH 3376||Data Wrangling & Visualization||3|
|MATH 3440||Introduction to Symbolic Logic||3|
|MATH 4010||History of Mathematics||3|
|MATH 4027||Topics in Mathematics||3|
|MATH 4110||Theory of Numbers||3|
|MATH 4140||Introduction to Modern Algebra||3|
|MATH 4320||Introduction to Real Analysis II||3|
|MATH 4337||Intro to Statistical and Machine Learning||3|
|MATH 4387||Applied Regression Analysis||3|
|MATH 4388||Machine Learning Methods||3|
|MATH 4390||Game Theory||3|
|MATH 4394||Experimental Designs||3|
|MATH 4408||Applied Graph Theory||3|
|MATH 4409||Applied Combinatorics||3|
|MATH 4450||Complex Variables||3|
|MATH 4650||Numerical Analysis I||3|
|MATH 4660||Numerical Analysis II||3|
|MATH 4733||Partial Differential Equations||3|
|MATH 4779||Math Clinic||3|
|MATH 4791||Continuous Modeling||3|
|MATH 4792||Probabilistic Modeling||3|
|MATH 4793||Discrete Math Modeling||3|
|MATH 4794||Optimization Modeling||3|
|MATH 4810||Introduction to Probability||3|
MATH numbered 5000 or above
Note that these courses taken during the undergraduate career with be used for the B.S. and apply to the 30 hours of course work and satisfy the core requirement for the MS in Statistics.
|Take the following||12|
|MATH 5320||Statistical Inference||3|
|MATH 5387||Applied Regression Analysis||3|
|MATH 6330||Workshop in Statistical Consulting||3|