Statistical Science

Indiana University Bloomington

United States of America, Bloomington

University RankQS Ranking

355

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Indiana University Bloomington

United States of America , Bloomington

Key Facts

Program Level

Master by Course Work

Study Type

Full Time

Delivery

On Campus

Campuses

Main Site

Program Language

English

Start & Deadlines

Next Intake Deadlines15-Jan-2022 December-2021

Apply to this program

Go to the official application for the university

Duration 12 month(s)

Tuition Fee

USD 30,642 / year

Apply Date December-2021

Next Intake 15-Jan-2022

Statistical Science

About

Overview The mission of the Department of Statistics is to provide leadership in the Statistical Science by:Advancing theory, methods, and computing that will help further emerging science and technology.Providing students with the statistical and computational knowledge and skills necessary to handle complex real-world problems and to pursue careers in both applied and theoretical areas of statistics.Elevating awareness, enriching education, and strengthening research on campus and in the wider community.Personalized career advisingWherever you are on your path to discovering your ideal career, we have the expertise to help.The Career Development Center (CDC) is your go-to resource if you aren’t yet part of a specific Indiana University Bloomington school. Our exploration process provides you with support and guidance each step of the way—from beginning to think about your future to launching your career.If you are in the exploratory stage, we also encourage you to visit career centers for schools in which you have an interest, in addition to the CDC.Once you declare a major, you’ll work with the career center dedicated to your school for advising tailored to your academic discipline.Learn more about our recruiting policies for employers, including our disability disclosure guidance for students. I want to find another Master Course

The Statistical Science program at Indiana University Bloomington trains students to become applied statisticians who collaborate with researchers in various disciplines to design experiments and analyze data.