Data Science Certificate

Data Science at Marquette

View all our data science academic programs

The data science certificate program and its curriculum are 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. 

 

15

Program Credits

1

Year to Complete*

online program delivery

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



Take the next step towards your future


  • Contact Us
  • Application Details
  • 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

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Prerequisites for Admission

  • An earned baccalaureate degree in any field with a GPA of at least 3.00
  • 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 a recommended introductory online foundational statistics course as recommended by the program director.

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.
  • (optional; recommended) A statement of purpose essay outlining relevant work experience or education, career goals, possible areas of interest and reasons for seeking admission to this program.
  • (optional; recommended) Three letters of recommendation

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

COSC 6510 

Business Intelligence 

COSC 6520 

Business Analytics  

COSC 5500 

Visual Analytics 

COSC 5820 

Ethical and Social Implications of Data 

COSC 65701

Data at Scale 

or COSC 6060

Parallel and Distributed Systems

or COSC 6380

Advanced Database Systems

1 COSC 6060 or COSC 6380 recommended for students with a computer science background