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Master of Science in Applied Data Science

在東田納西州立大學
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United States

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課程級別

碩士學位課程

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4 Semester(s)

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23 August 2024

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6.5 IELTS

The Masters of Science in Applied Data Science is designed to train professionals to manage, manipulate and analyze potentially complex datasets and communicate these findings to managers and other personnel. The program consists of a standard core curriculum that includes training in mathematics, statistics, and computer science, a team-oriented capstone project in partnership with an industrial collaborator, and the option to individualize the program by concentrating on one of six possible focus areas.

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  • 課程總長: 4 Semester(s)
  • 費用: 無法取得
In學年take 位置
Fall (August), 2024 Johnson City
Spring (January), 2025 Johnson City
Fall (August), 2025 Johnson City
Spring (January), 2026 Johnson City

Entry requirements for 東田納西州立大學

Applicants must have completed an undergraduate degree with an overall undergraduate GPA of 3.0 or higher on a 4.0 scale prior to the first semester of study. Accelerated Bachelors to Masters students may be admitted to the program before completing the Bachelors degree, but must meet all Graduate School requirements for admission to the accelerated program.
Applicants should have demonstrated prerequisite knowledge in the following areas. ETSU classes that meet each competency appear in parentheses.
Programming - Basics of contemporary programming languages, including state change, selection, and iteration, coding style, modular code (functions and classes), and object-oriented programming (inheritance and polymorphism). (CSCI 1250 Introduction to Computer Science I and CSCI 1260 Introduction to Comuter Science II)
Database Systems - Creating, maintaining, and querying relational databases. (CSCI 2020 Fundamentals of Database)
Calculus - Differentiation, integration, sequences, and series. (MATH 1910 Calculus I and MATH 1920 Calculus II)
Linear Algebra - Systems of linear equations, matrix algebra, inner products, transformations, eigenvalues. (MATH 2010 Linear Algebra)
Calculus-Based Probability and Statistics - Basic probability, mathematical expectation, discrete and continuous probability distributions, sampling distributions, one- and two-sample estimation, hypothesis testing, linear regression and correlation. (MATH 2050 Foundations of Probability and Statistics - Calculus Based)

Professional experience may be used to waive prerequisite coursework requirements, this is evaluated on a case-by-case basis by the program faculty. Applicants lacking prerequisite requirements may be admitted provisionally. Provisional admission could require students to take online boot camp courses in Computing and Mathematics/Statistics before the first semester of enrollment or by the end of the first semester of enrollment.

TOFEL IBT ? 79
TOFEL PBT ? 550
IELTS ? 6.5

English language requirements

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