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The Basics

Master of Science in Data Science

Saint Mary's College


Saint Mary's College Department of Mathematics
Notre Dame, IN, 46556, United States

What We Offer

Summary

The most sought-after data scientists are those who actually write the algorithms used to decipher and interpret data. At Saint Mary's College you'll develop a strong mathematical base that will allow you to take on complex data challenges now and in the future. You'll take courses in applied statistics with an application-focused approach to regression analysis and related techniques - knowledge companies prize in data scientists.


Academic Fields

Accounting and Computer Science.
Analysis and Functional Analysis.
Computer Programming, Other.
Computer Programming/Programmer, General.
Computer Programming, Specific Applications.
+ Show all academic fields

Degrees

Master's Degree, MS, Data Science


Formats

Part Time, Online or Distance

Keywords

Data scientist Data analyst Big Data

Contacts

Melissa Fruscione

Melissa Fruscione
Director Admission-Graduate Programs
graduateadmission@saintmarys.edu
(574) 284-5098

Who We're Looking For

Summary

Individuals who possess any of the following:
*Technical skills
*Familiarity with mathematics and statistics
*Computer programming experience
*Leadership skills
*A passion for data

Core Competencies
*A quantitative undergraduate major (examples include but are not limited to mathematics, the sciences, social sciences, and business with a quantitative emphasis) or a car
*Two semesters of calculus
*One semester of computer programming
*Familiarity with statistics
*Familiarity with linear algebra The most competitive candidates will satisfy the prerequisites and core competencies as follows:

A quantitative undergraduate major (examples include but are not limited to mathematics, the sciences, social sciences, and business with a quantitative emphasis) or a career in a technical or quantitative area
Two semesters of calculus
One semester of computer programming
Familiarity with statistics
Familiarity with linear algebra


Academic Backgrounds

Accounting and Computer Science.
Applied Mathematics, General.
Applied Mathematics, Other.
Computational and Applied Mathematics.
Computational Mathematics.
+ Show all academic fields

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