Data Science Master's Degree Program

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Graduate Program Recruiter

Tim Carter

(414) 288-7139

timothy.carter@marquette.edu

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Application Deadline

Applications are reviewed on a rolling basis, and admitted students may begin their program in fall or spring. Priority consideration is given to master's applicants who apply by January 15th.

The deadlines for merit-based financial aid consideration for master's applicants are January 15 for the following fall term and November 15 for the following spring term.

Your application must be complete and all required documentation must be received in the Graduate School by the above date.

Prerequisites for Admission

Applicants should have:   

• An earned baccalaureate degree in a relevant field such as data science, computer science, statistics, information science, and mathematics with a GPA of at least 3.000. 
• Basic computational thinking competency as demonstrated by completion of an introductory course (e.g., COSC 1010 Introduction to Software Development or equivalent). Alternatively, proof of successful completion of a recommended introductory online Python programming course as recommended by the program director. 
• A foundational statistics course (e.g., PSYC 2001 Psychological Measurements and Statistics, SOCI 2060 Social Statistics or equivalent) with familiarity in programs such as R, MATLAB, SAS, Stata, etc. Alternatively, proof of successful completion of an introductory online foundational statistics course as recommended by the program director. 
• The program accommodates students from a wide variety of disciplines. 

Application Requirements

Read all application instructions prior to beginning an application.

• A completed online application form and fee.
• Copies of all college/university transcripts except Marquette*
• Statement of purpose essay outlining relevant work experience or education, career goals, possible areas of interest and reasons for seeking admission to this program.
• For international applicants who have not attended an English-speaking university only: TOEFL score or other acceptable proof of English proficiency.
• GRE (recommended for domestic applicants, required for international applicants)
• Resume (recommended)
• Three letters of recommendation (recommended)

*Upon admission, final official transcripts from all previously attended colleges/universities, with certified English translations if original language is not in English, must be submitted to the Graduate School within the first five weeks of the term of admission or a hold preventing registration for future terms will be placed on the student's record.

Students completing this certificate program will be able to:

• Represent, manipulate, analyze and interpret big data using exploratory, inferential methods and use packages/tools in effective ways.

• Recognize and analyze ethical and social issues in data science.

• Apply and evaluate complex models to devise solutions for data science tasks.

• Interpret data science analysis outcomes and draw conclusions using effective written, graphical and verbal tools and techniques.

Data science courses led by respected faculty

Expect excellence from the program, led by respected faculty members including:

• Praveen Madiraju – Director
• Michael Zimmer – Co-director

The MS in Data Science offers specializations in Machine Learning and Big Data, with the choice to complete the degree with the following plan options.

No Specialization (Generalist) 

Specialization in Machine Learning 

Specialization in Big Data