Program overview

Main Subject

Mathematics

Study Level

Masters

Statistics, the theory, methodology and practice of analyzing data, is a fundamental tool in all sciences, and has emerged as a central tool for prediction in a host of applications that have evolved around mobile computing, finance, marketing and the world...
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Statistics, the theory, methodology and practice of analyzing data, is a fundamental tool in all sciences, and has emerged as a central tool for prediction in a host of applications that have evolved around mobile computing, finance, marketing and the world wide web. The Master's program in Statistics at the University of Chicago is an exciting combination of a professional degree preparing you for work in these emerging fields, and, for those who wish, a preparation for doctoral study in any field in which statistics or data science is heavily used. Theoretical and Applied Excellence The Department of Statistics has been recognized for the high quality of its faculty and the diversity of its interests. Beyond expertise in statistics methodology, machine learning, biostatistics, and probability, the faculty is actively engaged in interdisciplinary research areas, such as genetics, mathematical finance and econometrics, environmental statistics, computational neuroscience, computational chemistry, machine learning and pattern recognition, scientific computation, survey methodology, and more. What makes the University of Chicago program special is our unique blend of theoretical excellence and true appreciation for the subjects in which our field is applied. We educate our students to the same high standards. Master?s students are fully integrated in the academic activities in the department, alongside the Ph.D. students. All statistics courses are open to Master?s students, and Master?s students can customize their program to their interests. The Program The Statistics Master?s program has several constituent parts, which go together to form a comprehensive quantitative education. The program includes: Courses in theoretical and applied statistics that provide a broad knowledge and understanding of statistical methods and their practical use. Exposure to the cutting edge of research fields through seminars and special courses. Consulting experience: the department runs a consulting service for researchers in other departments in the University. You get to be the consultant, working as the quantitative expert to solve important research problems of our day. Typically, two to four graduate students work together as a team under the supervision of faculty members. The team will share their experience by presenting their analysis to the group of student consultants. A chance to study a problem in depth through a Master's paper on a subject chosen by you together with your faculty advisor. Training in presentation: In addition to presentations in the consulting program, all Master's students give a seminar on their Master's paper at the completion of the program. Students are also encouraged to participate actively in courses and seminars. The program can be completed in one to two academic years, depending on the background and study plan of the student.

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Program overview

Main Subject

Mathematics

Study Level

Masters

Statistics, the theory, methodology and practice of analyzing data, is a fundamental tool in all sciences, and has emerged as a central tool for prediction in a host of applications that have evolved around mobile computing, finance, marketing and the world...
Read more

Statistics, the theory, methodology and practice of analyzing data, is a fundamental tool in all sciences, and has emerged as a central tool for prediction in a host of applications that have evolved around mobile computing, finance, marketing and the world wide web. The Master's program in Statistics at the University of Chicago is an exciting combination of a professional degree preparing you for work in these emerging fields, and, for those who wish, a preparation for doctoral study in any field in which statistics or data science is heavily used. Theoretical and Applied Excellence The Department of Statistics has been recognized for the high quality of its faculty and the diversity of its interests. Beyond expertise in statistics methodology, machine learning, biostatistics, and probability, the faculty is actively engaged in interdisciplinary research areas, such as genetics, mathematical finance and econometrics, environmental statistics, computational neuroscience, computational chemistry, machine learning and pattern recognition, scientific computation, survey methodology, and more. What makes the University of Chicago program special is our unique blend of theoretical excellence and true appreciation for the subjects in which our field is applied. We educate our students to the same high standards. Master?s students are fully integrated in the academic activities in the department, alongside the Ph.D. students. All statistics courses are open to Master?s students, and Master?s students can customize their program to their interests. The Program The Statistics Master?s program has several constituent parts, which go together to form a comprehensive quantitative education. The program includes: Courses in theoretical and applied statistics that provide a broad knowledge and understanding of statistical methods and their practical use. Exposure to the cutting edge of research fields through seminars and special courses. Consulting experience: the department runs a consulting service for researchers in other departments in the University. You get to be the consultant, working as the quantitative expert to solve important research problems of our day. Typically, two to four graduate students work together as a team under the supervision of faculty members. The team will share their experience by presenting their analysis to the group of student consultants. A chance to study a problem in depth through a Master's paper on a subject chosen by you together with your faculty advisor. Training in presentation: In addition to presentations in the consulting program, all Master's students give a seminar on their Master's paper at the completion of the program. Students are also encouraged to participate actively in courses and seminars. The program can be completed in one to two academic years, depending on the background and study plan of the student.

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Admission Requirements

IELTS

7+

Starting Month(s)

Jan-2000

Tuition Fee and Scholarships

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

In this guide you will find:

Where to look for scholarship opportunities

How to apply to scholarships relevant to you

A list of available scholarships around the world

A scholarship application checklist

Download Scholarship Guide

QS subject rankings

2013
#11
2014
#12
2015
#10
2016
#=11
2017
#13
2018
#18
2019
#17
2020
#16
2021
#17
2022
#16
2023
#21
2024
#24
2025
#22

Ranking criteria

Overall

81.4

Academic Reputation

87.4

Citations per Paper

85.2

Employer Reputation

81.4

H-index Citations

83.6

International Research Network

48.6

View all rankings data

MS in Statistics

# 22QS Subject Rankings

24 monthsProgram duration

MathematicsMain Subject Area

Program overview

Main Subject

Study Level

Program overview

Main Subject

Study Level

Admission Requirements

Exam Scores

Important Dates

Tuition Fee and Scholarships

Scholarships

In this guide you will find:

QS WUR Ranking By Subject

QS subject rankings

Subject: Mathematics

Ranking criteria

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