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Mathematics (General Statistics)

The University of Texas at Arlington

United States of America, Arlington

University RankQS Ranking

1107

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Home/United States of America/Arlington /The University of Texas at Arlington/Mathematics (General Statistics)

The University of Texas at Arlington

United States of America , Arlington

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 Deadlines26-Aug-2021 15-Aug-2021

Apply to this program

Go to the official application for the university

Duration 12 month(s)

Tuition Fee

USD 23,122 / year

Apply Date 15-Aug-2021

Next Intake 26-Aug-2021

Mathematics (General Statistics)

About

Overview The objectives of the Mathematics (General Statistics) program at the University of Texas Arlington are:Develop the students’ ability to do independent research and prepare them for more advanced studies in mathematics.Provide advanced training and preparation for professional careers as mathematicians, mathematics teachers, and those employed in engineering, scientific and business fields.Graduate work will be offered in algebra, complex and real variables, differential equations, functional analysis, geometry, mathematics education, numerical analysis, probability, statistics and topology.CareerFinanceEducationGovernment agencies I want to find another Master Course

The Mathematics (General Statistics) program at the University of Texas at Arlington offers additional emphasis in applied mathematics, computational mathematics, mathematics education, pure mathematics, and statistics. All students are to use the thesis plan, thesis-substitute plan, or non-thesis plan.

Disciplines

Mathematics

Actuarial Science

Requirements

Other Requirements

1 : B.A. or B.S. degree in mathematics or closely related field.An overall GPA in the final 60 hours of coursework of a 3.0 or better, as calculated by the Graduate School, on a 4.0 scale.Graduate Record Examination (GRE) Three favorable letters of recommendation from people familiar with the applicant's academic work.