Marquette University

62 Programs 5 Degree levels
Non-Degree

Data Science Certificate

DegreeNon-Degree
FieldData Science
B

Cost & earnings at Marquette University What students borrow here, and what they go on to earn

You borrow $23,940 median federal debt
You repay $272/mo over 10 years
Graduates earn $78,257 10 yrs after entry
Debt clears in 0.6 yrs of the salary premium
US Department of Education figures See the full breakdown →

A 12-credit graduate-level certificate that teaches practical data analytics, large-scale data handling, and the ethical implications of data use. Suited to bachelor’s degree holders seeking to add technical data skills (analytics, SQL, big-data concepts, and data ethics) to their professional toolkit in one year or less via on-campus or online delivery.

What you'll study

The program includes four core courses that cover business intelligence, analytics methods, large-scale data techniques, and ethical/social issues:

  • COSC 6510 - Data Intelligence: data management, integration, munging, and development of business-intelligence solutions applied to students' professional contexts.
  • COSC 6520 - Data Analytics: foundational analytics methodology, text and data mining for classification/clustering/prediction, evaluating predictive performance, and a customer-application analytics project; students without programming experience are advised to take COSC 6510 first.
  • COSC 6570 - Data at Scale: data types and structures, database solutions, applied SQL programming, and high-level coverage of MapReduce, Hadoop, and Apache Spark for big-data problems.
  • COSC 6820 - Data Ethics: sociotechnical examination of privacy, surveillance, algorithmic bias, fairness, transparency, and accountability in data-driven contexts.

Entry requirements

Applicants must hold a baccalaureate degree with a minimum GPA of 3.00. The program requires basic computational-thinking competency demonstrated by an introductory programming course (e.g., COSC 1010) or an approved introductory Python course. A foundational statistics course (or equivalent familiarity with R, MATLAB, SAS, Stata, etc.) is also required; alternatively, applicants may submit proof of completion of a recommended online foundational statistics course. Applications are reviewed on a rolling basis and admits may begin in summer, fall, or spring. Standard application materials include transcripts, a statement of purpose (recommended), and three letters of recommendation; international applicants may need to demonstrate English proficiency.

Career prospects

The curriculum prepares graduates to apply data science skills across many sectors—retail, medicine, banking and finance, construction, transportation, communications and media, manufacturing, government, and energy. Typical roles pursued by certificate completers include Data Scientist, Data Analyst, Business Intelligence Analyst, Business Analyst, Data Warehousing Specialist, Software Developer, Systems Software roles, Computer and Information Systems Manager, Computer and Information Research Scientist, and Search Marketing Strategist. The program page cites Bureau of Labor Statistics data for median salaries and projected job growth in related occupations.

Scholarships & funding angle (general)

Specific scholarships are not listed on the certificate page; prospective students should consult Marquette's graduate financial aid office for assistantships, scholarships, and payment plans. The program page notes a published tuition cost per credit and that additional costs may apply, so review the university's tuition and fees information when budgeting.

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Programme details are indicative and may change — always verify current information with the official university website before applying.