# Master of Science Program

# Program Qualifications

If you have the following qualifications, we encourage you to apply to for masters program! Many applicants admitted to our MS program receive assistantships that include a full tuition scholarship and a living stipend.

- A score in the 80th percentile or greater on the quantitative portion of the GRE
- A three-semester sequence in calculus
- A course in linear algebra

# Master of Science Program

*Note: We are no longer accepting applications to the MS/PhD program for the Fall 2021 semester.*

With the recent booms in data analytics, data science, and statistics, it is often a challenge to figure out which program is the best for you. We find that our students often answer yes to at least one of the following:

- Are you an undergraduate student majoring in mathematics, physics, computer science, or statistics?
- Did you enjoy your calculus sequence?
- Are you interested in working with real data or performing data analytics, while using your mathematical background?
- Do you enjoy programming, and find yourself more intrigued by the results than by the code?

Our MS and PhD programs will provide you with a broad training with foundations in theoretical statistics, and training for applications to real data. This provides an opportunity for students to combine their mathematical background with applications and computational tools to help solve real world problems.

# Program Requirements

**Shared Core**

- STA 602 (4) Introduction to Statistical Methods
- STA 603 (4) Introduction to Linear Models and Experimental Design
- STA 605 (3) Computational Inference
- STA 606 (3) Theory of Statistical Inference I
- STA 623 (3) Theory of Probability
- STA 632 (3) Longitudinal Data Analysis

**Mathematical Statistics Track**

Curriculum requirements for the Mathematical Statistics track are the shared core courses above, plus the following courses:

- STA 607 (3) Theory of Statistical Inference II
- STA 624 (3) Applied Stochastic Processes
- STA 643 (3) Advanced Experimental Design

**Biostatistics Track**

Curriculum requirements in the Biostatistics track are the shared core courses above, plus:

- STA 635 (3) Survivability and Life Testing
- STA 653 (3) Clinical Trials
- STA 665 (3) Analysis of Categorical Data
- STA 693 (2) Biostatistical Practicum, 1 unit course in each of the two semesters in the second year

Programs of study for Plan B require a total of at least 35 semester hours. Students will typically fulfill this requirement by taking electives (additional courses besides the shared core and track requirements) in Fall and Spring of their second year. Programs of study for Plan A (with thesis) require a total of at least 29 semester hours which are satisfied by either of the two course lists above.

The electives can be selected from the menu of courses listed below.

Before the end of the second semester, the M.S. candidate must present a proposed plan of study for approval by the Director of Graduate Studies. There are no formal minor requirements.**Comprehensive Examination**

All master's candidates are required to pass a comprehensive departmental written examination on the content of the courses STA 602, STA 603, STA 605, STA 606, and STA 623. This examination is normally administered in late May/early June. It is truly comprehensive also in the sense that all parts must be taken together: If a student decides not to take a part of the examination, that part is automatically counted as failed. Students taking the comprehensive exam will receive either a pass at the doctoral level, a pass at the master's level, or a failure. The examination may be repeated only once.

Successful completion of the comprehensive examination at the doctoral level is required for admission into the PhD program.**Electives**

The electives may be chosen from any course in the following menu that is NOT a track requirement.

- MA 471G (3) Advanced Calculus I
- STA 607 (3) Theory of Statistical Inference II
- STA 612 (3) Sequential Analysis
- STA 616 (3) Design and Analysis of Sample Surveys
- STA 621 (3) Nonparametric Inference
- STA 624 (3) Applied Stochastic Processes
- STA 626 (3) Time Series Analysis
- STA 630 (3) Bayesian Inference
- CPH 631 (3) Design and Analysis of Health Surveys
- STA 635 (3) Survivability and Life Testing
- CPH 636 (3) Data Mining in Public Health
- STA 643 (3) Advanced Experimental Design
- STA 644 (3) Advanced Linear and Nonlinear Models
- STA 653 (3)* Clinical Trials
- STA 661 (3) Multivariate Analysis I
- STA 662 (3) Resampling and Related Methods
- CPH 664 (3)* Design and Analysis of Clinical Trials
- STA 665 (3) Analysis of Categorical Data

Any course on this list NOT required for the chosen track may be used as an elective. Thus, for example, STA 665 would count as an elective for the Mathematical Statistics track, but it is a track requirement for the Biostatistics track. Similarly, STA 624 would be an elective for the Biostatistics track but is a track requirement for the Mathematical Statistics track.

* A student who takes both STA 653 and CPH 664, may only receive credit towards the degree for one of these two courses.

**Recommended Schedules**

In the following schedules, the electives can be anything from the elective list, including courses required for the respective other track. If you are planning on continuing for a PhD:

- Take STA607 and STA643 in Fall year 2, either as track requirements or electives.
- If you haven’t yet taken MA471G before, it should be taken in Fall year 2.
- Take STA700 in Spring year 2.

**Mathematical Statistics Track**

Fall, Year One |
STA 602 Introduction to Statistical Methods | STA 605 Computational Inference | STA 623 Theory of Probability |

Spring, Year One |
STA 603 Introduction to Linear Models and Experimental Design | STA 606 Theory of Statistical Inference I | STA 624 Applied Stochastic Processes |

Fall, Year Two |
STA 607 Theory of Statistical Inference II | STA 643 Advanced Experimental Design | Elective |

Spring, Year Two |
STA 632 Longitudinal Data Analysis | Elective | Elective |

**Biostatistics Track**

Fall, Year One |
STA 602 Introduction to Statistical Methods | STA 605 Computational Inference | STA 623 Theory of Probability | |

Spring, Year One |
STA 603 Introduction to Linear Models and Experimental Design | STA 606 Theory of Statistical Inference I | STA 653 Clinical Trials | |

Fall, Year Two |
STA 635 Survivability and Life Testing | Elective |
Elective |
STA 693 Biostatistical Practicum |

Spring, Year Two |
STA 632 Longitudinal Data Analysis | STA 665 Analysis of Categorical Data | Elective | STA 693 Biostatistical Practicum |