Data Science Certificate

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. 

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 Scientists
  • Data Analyts
  • Computer and Information System Managers
  • Computer and Information Research Scientists
  • Software Developers
  • Systems Software
  • Data Warehousing Specialists
  • Business Intelligence Analysts
  • Search Marketing Strategists

Learn more about Employment information for certificate programs.

Awards & Recognitions

shion guha wins facebook award

 


Take the next step towards your future

 
  • Request Information
  • 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

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Prerequisites for Admission

  • An earned baccalaureate degree in any field with a GPA of at least 3.000.
  • 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

*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 program, led by respected faculty members including:

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

MSCS 6510 Business Intelligence 3
MSCS 6520 Business Analytics 3

MCSC 6931

 or MSCS 6060

 or MSCS 6380

Topics in Math, Stats, & Computer Science (Data at Scale)

Parallel and Distributed Systems

Advanced Database Systems

3
MSCS 6931 Topics in Math, Stats, & Computer Science (Advanced Data Science) 3
MSCS 6931 Topics in Math, Stats, & Computer Science (Ethical and Social Implications of Big Data) 3
Total Credit Hours 15