MS in Data Science

University of Minnesota (United States) · Minneapolis, MN 55455, United States

About University:

The University of Minnesota, Twin Cities (the U of M or Minnesota) is a public land-grant research university in the Twin Cities of Minneapolis and Saint Paul, Minnesota. The Twin Cities campus comprises locations in Minneapolis and Falcon Heights, a suburb of St. Paul, approximately 3 miles (4.8 km) apart. The Twin Cities campus is the oldest and largest in the University of Minnesota system and has the ninth-largest main campus student body in the United States, with 51,327 students in 2019–20. It is the flagship institution of the University of Minnesota System and is organized into 19 colleges, schools, and other major academic units.

 

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About University:

The University of Minnesota, Twin Cities (the U of M or Minnesota) is a public land-grant research university in the Twin Cities of Minneapolis and Saint Paul, Minnesota. The Twin Cities campus comprises locations in Minneapolis and Falcon Heights, a suburb of St. Paul, approximately 3 miles (4.8 km) apart. The Twin Cities campus is the oldest and largest in the University of Minnesota system and has the ninth-largest main campus student body in the United States, with 51,327 students in 2019–20. It is the flagship institution of the University of Minnesota System and is organized into 19 colleges, schools, and other major academic units.

 

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Program Details:

Program Website

Basic Info

Institute

College of Science and Engineering

Degree

MS

Duration

2 years

STEM Designated

Yes

Program

Data Science

Expense

Living Expenses

USD 24500

Tuition Fee (Domestic)

USD 21400

Tuition Fee (International)

USD 32600

Eligibility

Minimum/ Avg Score

Undergrad GPA

3.5

TOEFL

79

IELTS

6.5

PTE

59

Duolingo

115

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Intake Deadline 1

Document Required:

  • Degree Certificate

    Common Document

    A four-year bachelor's degree or equivalent from an accredited college or university in computer science, math, statistics, engineering, natural sciences, or a related field.

  • Degree Transcript

    Common Document

    Upload unofficial transcripts directly to your application using these instructions. Official transcripts will be required if you are admitted and wish to attend our program following these instructions. No hard copies should be faxed or mailed to our department.

  • Letter of Recommendation (LOR)

    University Specific

    Submit the names of three individuals who can speak to your ability to do graduate-level work in data science, ideally familiar with the background experience described in your statement of purpose. One of the three letters must be recent (in the last two years), and if you have been out of school for less than 5 years, it is encouraged for one of three letters to come from a faculty member.

  • Personal Statement

    University Specific

    You must write a statement of purpose outlining your immediate educational and long-range career objectives in relation to data science and why you are applying to the University of Minnesota's Data Science program. Discuss any interests in specific research topics or faculty members' projects. In a separate section within the statement of purpose, concisely discuss your relevant educational, research, or industrial backgrounds as they relate to data science or data analytics, and the specific prerequisite areas If you have expertise in computing or another prerequisite field that is not reflected in your transcripts, please include a description. Include any unique experiences relevant to the research you have done, especially any data-driven projects.

  • Resume

    Common Document

    Please include a curriculum vitae which includes educational institutions attended, degrees awarded, and employment history, with dates.

  • Test Score Report

    Common Document

    TOEFL/IELTS/PTE/Duolingo

  • Diversity Statement

    University Specific

    (Optional ) The diversity statement should cover how your background, experiences, and achievements will contribute to the University's and our Department’s goal of promoting excellence through diversity and inclusion.

  • Research Experience

    Common Document

    Description of research - examples include publications, research papers, or research you are interested in conducting

  • Writing Sample

    University Specific

    It is optional in application.

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