Program Overview

Introduction to Marquette University Graduate Programs

Marquette University offers over 70 certificate, master's, and doctoral programs through the Graduate School. These programs are designed to provide students with advanced knowledge and skills in their chosen field, preparing them for successful careers.

Master's, Doctoral, and Certificate Programs

The university offers a wide range of programs, including:

• Business and Management
• Communication and Social Sciences
• Computer Science, Math & Statistics
• Counseling & Psychology
• Data Science & Analytics
• Dentistry
• Education, Policy and Leadership
• Engineering
• Health Sciences
• Humanities
• Law School
• Natural Sciences
• Nursing

Additional Programs

In addition to the above programs, Marquette University also offers:

• Online Programs
• Accelerated Degrees
• Continuing Education (non-degree)

Data Science Certificate Program

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

Program Details

• Program Credits: 12 credits
• Year to Complete: 1 year (based on full-time student)
• Online Program Delivery: Yes

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

Admission Requirements

To be eligible for admission to the Graduate School at Marquette University, applicants must meet the following requirements:

• A bachelor's degree from a regionally accredited institution or international equivalent must be completed prior to starting graduate school.
• A minimum grade point average (GPA) of 3.00 on a 4.00 scale.
• Basic computational thinking competency as demonstrated by completion of an introductory course (e.g., COSC 1010 Introduction to Software Development or equivalent) or proof of successful completion of a recommended introductory online Python programming course as recommended by the program director.
• Completion of a foundational statistics course (e.g., MATH 1700 Modern Elementary Statistics, PSYC 2001 Psychological Measurements and Statistics: Lecture Only, SOCI 2060 Social Statistics or equivalent) with familiarity in programs such as R, MATLAB, SAS, Stata, etc., or proof of successful completion of a recommended introductory online foundational statistics course as recommended by the program director.
• Demonstrated English proficiency for non-U.S. citizens.

Application Details

Application Requirements

• A completed online application form and fee.
• Transcripts:
  • If coursework was completed within the United States, submit copies of all current and previous college/universities except Marquette.
  • If coursework was completed outside of the United States, a transcript evaluation is required. A copy of a course-by-course evaluation is approved for the application process.
• 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

Application Deadline

Applications are reviewed on a rolling basis, and students may begin their program in summer, fall, or spring. Applicants may apply and submit all application materials any time before the following dates:

• Fall term admissions: August 1
• Spring term admissions: December 15
• Summer term admission: April 15

Course Work

Students must complete 12 credits of course work from the following courses:

• COSC 6510: Data Intelligence
• COSC 6520: Data Analytics
• COSC 6570: Data at Scale
• COSC 6820: Data Ethics

Program Snapshot

• Application Deadline: Rolling Admission
• Full-Time: Yes
• Part-Time: Yes
• Online Options: Yes
• Department: Computer Science Department
• Tuition Cost Per Credit: $1,400.00
• Other costs exist.