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Admissions Requirements

Accelerated MS Program Admission Requirements:

Programs will select from among a qualified pool, based on the following criteria. Individual programs may have more stringent or additional requirements:

1. Completion of a minimum of 75 undergraduate credit hours will be required at the time of application; a minimum of 90 undergraduate credit hours will be required at the time of entry into the AMP. If the student'sGPA falls below 3.3 at the time they have completed 90 units, the student will not be admitted into the program. Courses taken for audit may not be included in the total number of units counted for eligibility or admission.

2. A minimum cumulative GPA of 3.3 on a minimum of 12 units of undergraduate UA.

3. Completion of at least 12 earned undergraduate credits in their major at The University of Arizona'smain campus. Units still graded Incomplete, units graded Pass/Fail or units taken as audit will not count toward the requirement of the 12 undergraduate units.

4. Completion or near completion of general education requirements.

5. Submission of a graduate application and payment of a graduate application fee.

6. Demonstration of the maturity necessary for success in an accelerated, highly competitive program.

7. Expectation to complete the undergraduate degree within four years. The undergraduate degree requirements must be completed before the student is eligible to have the Master'sdegree awarded.

Statistics Program Admission Requirements:

A Statement of Purpose describing the applicant's interests and goals for graduate study in interdisciplinary statistics, a list of college-level statistics and mathematics courses completed (including final grades) or in progress, and a minimum of two letters of recommendation from university faculty members familiar with an applicant's academic and scholarly abilities are also required. (Applicants who wish to submit additional letters may do so; however, letters from non-academic sources are treated with lesser weight by the Recruiting & Admissions Committee.) An attendant curriculum vitae is optional, but recommended. Complete application procedures are given in the Applications section of this website.

 

Standardized Tests

The GRE requirement is waived for accelerated MS applicants.  The GRE is not required.

 

Funding Opportunities

Financial assistance is available for qualified applicants, in the form of Graduate Research or Teaching Assistantships. In order to receive financial aid, the GIDP requires that:* each student must exhibit full-time graduate status, which requires registration for a minimum of 9 units each semester; and* each student must maintain a cumulative GPA of 3.0 or higher while enrolled in the Statistics graduate program. (Please note PhD students recieve funding priority)

To be eligible for financial assistance, applicants from non-English-speaking countries must also demonstrate sufficient English proficiency in order to communicate effectively when instructing or describing modern statistical concepts to fellow scholars and scientists. The GIDP's eligibility requirements are:
* a Test of English as a Foreign Language (TOEFL) iBT total score at or above 106 and a TOEFL iBT Speaking score at or above 26, or
* an International English Language Testing System (IELTS) score of 8, with a score of no less than 7 on any individual module.

Students from non-English-speaking countries who have not achieved either this TOEFL iBT or this IELTS English proficiency requirement prior to matriculating into the Statistics GIDP may instead meet the University's requirements for Spoken English Proficiency as stipulated by the Graduate College. These requirements are: a minimum score of 26 on the Speaking section of the TOEFL (iBT), or a minimum score of 7 on the University’s T-BEST exam, or a minimum score of 50 on the University’s TSE/TAU/SPEAK exam, or be a U.S. Citizen or Permanent Resident. Previous attendance at an English-speaking institution does not satisfy this requirement.

These policies are independent of any specific form of financial assistance (Teaching Assistant, Research Assistant, Fellowship, etc.) the student receives. No waivers or exceptions are permitted. Additional information on financial support in the GIDP is available in the pertinent section of the Statistics Graduate Student Handbook.

The GIDP in Statistics is a small program, and as such only limited assistance is available. Graduate student support is not guaranteed for any student in the program, and as such competition for this assistance is very high. Consideration is generally given first to students in the Ph.D. program, although financial support for M.S. students is possible when resources permit.

Students are encouraged to seek out funding from a variety of sources; the Graduate College has online resources which can facilitate this effort. Students are also strongly encouraged to apply for Research Assistantship support through faculty and fellowship awards from local and national agencies.

 

Admissions Deadlines

Domestic and International Applicants:

• Fall: January 1
• We do not encourage spring admission

 

International Conditional Admission

International applicants will not be considered for conditional admission by this program.

Other Information

The GRE Institution Code for The University of Arizona is 4832

Completion Requirements

Minimum Credit Units

30 

Core Coursework Requirements

Qualified Mathematics department undergraduates will complete the first 12 units of Statistics MS core courses by the end of their senior year: 

Fall - STAT 564 (Theory of Probability, 3 units) & STAT 571A (Advanced Statistical Regression Analysis, 3 units)

Spring - STAT 566 (Theory of Statistics, 3 units) & STAT 571B (Design of Experiments, 3 units)

These four courses will prepare a student to pass the qualifying exam following the completion of that spring semester.  In order to receive a MS degree in Statistics, a student must pass a Qualfiying Exam at the Master's Degree level.  The exam, given in May and January, has two parts:  theory (covering STAT 564 and 566) and methodology (covering STAT 571A and STAT 571B).  Students would then complete the one remaining STAT core course STAT 688 (Statistical Consulting), 12 units of elective courses, and one advanced statistical course for a total of 18 units during their 5th year to graduate with their MS in Statistics.  This amounts to 9 units in the fall and 9 units in the spring.  

 

Elective Coursework

 Additional Elective Courses; minimum 12 units from any of the following:

• GENE 513 – Statistical Genetics for Quantitative Measures
• BIOS 576B– Biostatistics for Research
• BIOS 576C– Applied Biostatistics Analysis
• BIOS576D– Data Management and the SAS Programming Language
• BIOS 647– Analysis of Categorical Data, or
  • STAT 574C/SOC 574C – Categorical Data Analysis
• BIOS 648– Analysis of High Dimensional Data
• BIOS 675– Clinical Trials and Intervention Studies
• BIOS 684– General Linear and Mixed Effects Models
• BIOS 685 – Special Topics in Biostatistics
• BIOS 686– Survival Analysis
• BIOS 696S– Biostatistics Seminar
• ECE 639 –Detection and Estimation in Engineering Systems
• ECOL 518 – Spatio-Temporal Ecology
• ECON 518– Introduction to Econometrics
• ECON 522A – Econometrics, or
  • AREC 559 – Advanced Applied Econometrics
• ECON 522B – Econometrics
• ECON 549/AREC 549 – Applied Econometric Analysis
• EDP 548 – Statistical Package for Research
• EDP 558 – Educational Tests and Measurements, or
  • PSY 507B – Statistical Methods in Psychological Research
• EDP 646A – Multivariate Methods in Educational Research
• EDP 658A – Theory of Measurement
• EDP 658B – Theory of Measurement
• FSHD 617A – Advanced Data Analysis: Structural Equation Modeling
• FSHD 617B – Advanced Data Analysis: Dyadic Data Analysis
• FSHD 617C – Advanced Data Analysis: Multilevel Modeling
• GEOG 579/STAT 579/ECON 579 – Spatial Statistics and Spatial Econometrics
• GEOS 585A – Applied Time Series Analysis
• LING 539 – Statistical Natural Language Processing
• LING 582 – Advanced Statistical Natural Language Processing
• MATH 529 (temporary course ID) – Topics in Modern Analysis
• MATH 543 - Theory of Graphs and Networks
• MATH 563/STAT 563 – Probability Math
• MATH 565A – Stochastic Processes
• MATH 565B – Stochastic Processes
• MATH 565C – Stochastic Differential Equations
• MATH 568 – Applied Stochastic Processes, or
  • HWRS 655/C E 655 – Stochastic Methods in Surface Hydrology
• MATH 575A/C SC 575A – Numerical Analysis
• MATH 577 –  Topics in Applied Mathematics
• MCB 516A/ABE 516A – Statistical Bioinformatics and Genomic Analysis
• MGMT 582D – Multivariate Analysis in Management
• OPTI 528 –Adaptive Optics and Imaging Through Random Media
• OPTI 637 – Principles of Image Science
• PHYS 528 – Statistical Mechanics
• PLS 565 – Practical Skills for Next Generation Sequencing Data Analysis 
  PSY 507C – Research Design & Analysis of Variance
• PSY 597G – Graphical Exploratory Data Analysis
• RNR 520/GEOG 520 – Advanced Geographic Information Systems
• SIE 520 – Stochastic Modeling I
• SIE 522 – Engineering Decision Making Under Uncertainty
• SIE 525 – Queuing Theory
• SIE 531 – Simulation Modeling and Analysis
• SIE 545 – Fundamentals of Optimization
• SIE 606 – Advanced Quality Engineering
• SOC 570B – Social Statistics
• STAT 567A/MATH 567A – Theoretical Statistics I
• STAT 567B/MATH 567B – Theoretical Statistics II
• STAT 574B/ECON 574B – Bayesian Statistical Theory and Applications (same as ECON 696E)
• STAT 574E/MATH 574E/BIOS 574E – Environmental Statistics
• STAT 574G/GEOG 574G/MATH 574G – Introduction to Geostatistics
• STAT 574S – Survey Sampling
• STAT 574T/MATH 574T – Time Series Analysis
• STAT 675 – Statistical Computing
• STAT 687/BIOS 687/EPID 687 – Theory of Linear Models

A maximum of 4 units of Biostatistics Seminar (CPH 696S/EPID 696S) may be applied towards the Elective MS course requirements.

 

 

Additional Requirements

An MS Thesis or in lieu of a Thesis, advanced statistical coursework; minimum 3 units as follows:

• STAT 910 – Thesis or any one of:
  • BIOS 648– Analysis of High Dimensional Data
  • BIOS 684– General Linear and Mixed Effects Models
  • BIOS 686– Survival Analysis
  • MATH 563/STAT 563 – Probability Math
  • MATH 574M– Statistical Machine Learning
  • STAT 567A/MATH 567A – Theoretical Statistics I
  • STAT 567B/MATH 567B – Theoretical Statistics II
  • STAT 574B/ECON 574B – Bayesian Statistical Theory and Applications (same as ECON 696E)
  • STAT 574C/SOC 574C – Categorical Data Analysis
  • STAT 574E/MATH 574E– Environmental Statistics
  • STAT 574S – Survey Sampling
  • STAT 574T/MATH 574T – Time Series Analysis
  • STAT 675 – Statistical Computing
  • STAT 687/BIOS 687/EPID 687 – Theory of Linear Models

 

Student Handbook

Please refer to the Graduate Student Handbook for students who are pursuing this program of study.

 

Additional Information

This is an Accelerated Master's Program (AMP).

The Graduate College offers exceptional undergraduate students in selected majors the opportunity to earn both a bachelor's degree and master's degree in as few as 5 years. The Accelerated Master's Program is for the top undergraduates in participating majors who plan to continue in a graduate program in the same, or closely related, UA discipline.

Programs will select from among a qualified pool, based on the following criteria. Individual programs may have more stringent or additional requirements:

• Completion of a minimum of 75 undergraduate credit hours will be required at the time of application; a minimum of 90 undergraduate credit hours will be required at the time of entry into the AMP. If the student's GPA falls below 3.30 at the time s/he has completed 90 units, the student will not be admitted into the program. Courses taken for audit may not be included in the total number of units counted for eligibility or admission.
• Completion of at least 12 earned units of undergraduate course work in the major at the UA.
• Units still graded Incomplete, units graded Pass/Fail or units taken as audit will not count toward the requirement of the 12 undergraduate units in the major.
• Completion or near completion of general education requirements.
• Submission of a graduate application and payment of a graduate application fee.
• Demonstration of the maturity necessary for success in an accelerated, highly competitive program.
• Expectation to complete the undergraduate degree within four years. The undergraduate degree requirements must be completed before the student is eligible to have the Master's degree awarded.
• Interested students should verify departmental requirements as they may have additional or more stringent requirements than the Graduate College minimum requirements.

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