**Graduate School Policies and Procedures**

The following excerpts are from Article II. Section 2.iv. of the Graduate School Policies and Procedures (as approved by Graduate Council April 3, 2013 and modified by Graduate Council February 2018). Students are not formally admitted to the Graduate School until they have earned their undergraduate degree. Students participating in a Bachelor’s/Master’s option must:

- Fulfill all credit requirements of both the graduate and undergraduate programs;
- Petition to the Graduate Program allowing this option before enrolling in any graduate level courses, and be advised by both undergraduate and graduate advisors*; and
- Apply and be admitted to the graduate program in the next regular semester (fall or spring) following the completion of the undergraduate degree.

* Note: A “Petition to the Graduate Program” means contacting the Director of Statistical Programs to complete an “Intention to complete 4+1 Bachelor's to Master’s Degree form”. Students should not enroll in any graduate courses until this has been completed.

**Course Requirements for the 4+1 BS in Mathematics/MS in Statistics**

The necessary coursework is divided into 3 sections: (i) courses that apply only to the BS in Mathematics, (ii) courses that apply to both the BS in Mathematics and MS in Statistics, (iii) courses that apply only to the MS in Statistics.

**Courses that only apply to the BS in Mathematics:**

- One of the following programming courses:
- MATH 1376: Programming for Data Science or
- CSCI 1410, 1411 Introduction to programming

- MATH 1401 Calculus I
- MATH 2411 Calculus II
- MATH 2421 Calculus III
- MATH 3000 Introduction to Abstract Math
- MATH 3191 Applied Linear Algebra
- MATH 3382 Statistical Theory
- MATH 4310 Introduction to Real Analysis I
- MATH 4779 Math Clinic
- 3 additional MATH credits (typically 1 course) above 3000 excluding MATH 3195, 3511, 3800, 3999, and 4830

**Courses that apply to both the BS in Mathematics and MS in Statistics:**

- One of the following courses:
- MATH 5310 Probability (recommended)
- MATH 5792 Probabilistic Modeling
- MATH 6380 Stochastic Processes

- MATH 5320 Statistical Inference
- MATH 5387 Applied Regression Analysis
- One additional statistics elective from:
- MATH 5337 Introduction to Statistical and Machine Learning
- MATH 5388 Machine Learning Methods
- MATH 5394 Experimental Designs
- MATH 5792 Probabilistic Modeling
- MATH 6101 Uncertainty Quantification
- MATH 6380 Stochastic Processes
- MATH 6384 Spatial Data Analysis
- MATH 6388 Statistical and Machine Learning
- MATH 7384 Mathematical Probability
- MATH 7386 Monte Carlo Methods
- MATH 7393 Bayesian Statistics
- MATH 7826 Topics in Probability and Statistics

**Courses that only apply to the MS in Statistics:**

- MATH 6330 Workshop in Statistical Consulting
- Two additional statistics electives from:
- MATH 5337 Introduction to Statistical and Machine Learning
- MATH 5388 Machine Learning Methods
- MATH 5394 Experimental Designs
- MATH 6101 Uncertainty Qualification
- MATH 5792 Probabilistic Modeling
- MATH 6380 Stochastic Processes
- MATH 6384 Spatial Data Analysis
- MATH 6388 Statistical and Machine Learning
- MATH 7384 Mathematical Probability3
- MATH 7386 Monte Carlo Methods
- MATH 7393 Bayesian Statistics
- MATH 7826 Topics in Probability and Statistics

- Two additional MATH courses applicable to a graduate degree in Applied Mathematics.
- All students must complete a written project and pass a final oral exam. The project is developed as a student-centered independent research component within one of the following courses:
- MATH 5950 Master’s Thesis
- MATH 5960 Master’s Project
- MATH 6960 Research Methods in Mathematics and Statistics (recommended)

**Additional notes for obtaining the BS in Mathematics:**

- A C- or better is needed in each class towards your major and your grade point average must be at least 2.25 in these MATH classes.
- The semester your graduate, you must:

- Complete the MFAT Exam and participate in an exit interview. These requirements will be scheduled through the department Administrative Assistant (303-315-1702).
- Complete a senior survey.

- You must satisfy the requirements of the College of Liberal Arts and Sciences (CLAS). Contact the CLAS advising office (303-315-7100) for details.
- There are several residency credits that must be satisfied to graduate as a Mathematics major at CU Denver. Graduating students must:

- Take at least 15 upper division (3000 or above) MATH credits (5 classes) at CU Denver.
- Take a minimum of 30 hour of resident credit (letter grades received at CU Denver).
- 21 out of the last 30 hours must be taken in CU Denver CLAS courses.
- For the most current CLAS residency requirements, please visit https://clas.ucdenver.edu/advising/.

- Students with at least a 3.5 upper-division major grade point average and at least 3.2 overall grade point average may qualify for honors and should contact a math advisor for more details.

**Additional notes for obtaining the MS in Statistics:**

Students must satisfy the following requirements:

- 30 total credit hours of accepted course work.
- At least 24 credit hours must be MATH courses numbered 5000 or above.
- Up to 9 credit hours of coursework may be transferred into the M.S. program. Only courses completed with a grade of B- or better may be considered for transfer credit. Credit cannot be transferred until the student has established a satisfactory record of at least six graduate credits in mathematics or statistics at CU Denver with a minimum GPA of 3.0. All transfer courses must be approved by the Graduate Program Director. Courses taken while registered as a non-degree student are considered transfer courses.
- The overall grade point average must be 3.0 or higher. Grades below a B- are not accepted (but still contribute to the student’s overall GPA).
- All students must take and pass a final oral examination that includes a written report (M.S. non-thesis option) or thesis (M.S. with thesis option).
- By graduate school rules, Master’s students, whether enrolled full-time or part-time, must complete all requirements within 7 years of matriculation.

Additionally,

- The following courses will
**NOT** count toward this degree: MATH 3040, MATH 3195, MATH 3511, MATH 3800, MATH 3999, MATH 4012- 4014, MATH 4830, MATH 5000-5010, MATH 5012-5015, MATH 5017, MATH 5198, MATH 5250 and MATH 5830.
- 3-6 credits of MATH 5950 or 3 credits of Math 5960 can be applied toward the degree. There is no co-credit between MATH 5950, MATH 5960, and MATH 6960.
- Students continuing into the PhD program in Applied Mathematics are strongly encouraged to take MATH 5718 (Applied Linear Algebra) and either MATH 5070 (Applied Analysis) or MATH 6131 (Real Analysis).