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Data Science Certificate

Attend Our Open House: November 17, 2020

Join Marquette Graduate School admissions counselors and faculty as they provide an overview of our various data science graduate programs at Marquette University.

Programs include: Data Science Certificate, Criminal Justice Data Analytics, Health Care Data Analytics, Sports and Exercise Analytics

The data science certificate program and its curriculum is designed to connect data analytics and data science skills and knowledge with the needs evident in a host of fields. This certificate program can be taken online or on campus and seeks to meet a significant need for data analytics experts, targeting a human-centered approach.

Program Credits

Year to Complete*

Online Program Delivery

^{*Year to complete based on full-time student}

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Learning Outcomes

Students completing this certificate program will be able to:

Identify and articulate problems, issues and decisions that can be informed by data analytics approaches and the ethical and social issues surrounding them
Design and implement advanced strategies for analyzing big data
Create and present actionable information

Career Opportunities

Students who receive the data science certificate can seek careers in professions including:

Data scientist
Data analyst
Computer and information system manager
Computer and information research scientist
Software developer
Systems software
Data warehousing specialist
Business intelligence analyst
Search marketing strategist

Awards & Recognitions

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Application Details
Faculty
Course Work

Ready to learn more about Marquette's data science certificate? Request more information now or schedule a campus visit.

Graduate Program Recruiter

Tim Carter

(414) 288-7139

timothy.carter@marquette.edu

Email the Graduate School

*required field

Prerequisites for Admission

An earned baccalaureate degree in any field with a GPA of at least 3.00
Information systems (coding/programming) competency, or successful completion of the coding boot camp course MSCS 6500 Foundations of Computing or an equivalent taken elsewhere
A foundational undergraduate or graduate statistics class that includes descriptive statistics, validity, reliability, power analysis, parametric and non-parametric analysis, general linear model (predictive models with continuous outcomes), with emphasis on appropriate data analysis for study design, level of measurement and interpretation of results

Application Deadline

Applications are reviewed on a rolling basis, and admitted students may begin their program in summer, fall or spring.

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*
For international applicants who have not attended an English-speaking university only: TOEFL score or other acceptable proof of English proficiency.
Statement of purpose (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.

Data science courses led by respected faculty

Students can expect excellence from the program, led by respected faculty members including:

Students must complete a minimum of 15 credits of course work from the following courses:

COSC 5500	Visual Analytics	3
COSC 5820	Ethical and Social Implications of Data	3
COSC 6510	Business Intelligence	3
COSC 6520	Business Analytics ¹	3
or COSC 6540	Data Analytics
COSC 6570	Data at Scale ²	3
or COSC 6060	Parallel and Distributed Systems
or COSC 6380	Advanced Database Systems
Total Credit Hours		15