Master of Science Data Science

earn this degree onlineThe MS in Data Science (formerly the MS in Predictive Analytics) teaches students advanced technical and analytical skills to meet the challenge of big data analytics. The degree prepares the next generation of leaders in data science who can analyze massive amounts of data and extract information from complex data sources. The curriculum emphasizes technical proficiency and practical experience, and provides students with advanced skills in data mining, statistics, machine learning, and big data processing.



Predictive Analytics job prospects

$90,000 average reported salary for 2016 CDM Data Science graduates

Our graduates work at

  • Allstate
  • Amazon
  • BMO Harris Bank
  • Deloitte
  • Facebook
  • GE Capital
  • IBM

We asked recent alums what they found most beneficial about our MS program.

“The program offered a wide range of classes, which helped build a portfolio of different skills that are needed in my current job.”

“The electives were extremely helpful. These were the most relevant courses since they covered the most cutting edge algorithms and technologies.”

“The ability to self-guide with projects and capstone. Program or student-organized hackathons and practice.”

3 students engagned around an computer screen  

NSF-Funded Sciunit Project

Dr. Tanu Malik and her group are working on improving reproducibility in broad areas of computational science and data exploration.

DePaul CDM building  

Center for Data Science

DePaul CDS fosters collaborations with industry and nonprofits to conduct joint analytics projects, providing students with real-world problem solving experience in data science.

students in a classroom 

DePaul Data Science Group

Our data science group connects students with industry professionals, alumni, and faculty through workshops, panel discussions, skill trainings, and hackathons.

Online Learning

This degree can be completed entirely online. One hundred percent of the program’s lectures—from audio and video to whiteboard writing and supplemental materials—are captured and available online.

Data Map of Chicago

Focus on Real Data

Students work on real-world applications to gain experience in analyzing complex data sets. Recently, MSPA students developed data analytics results for the DePaul Institute of Housing Studies. This was a collaborative project with the Chicago Metropolitan Agency for Planning (CMAP), the Metropolitan Mayor’s Caucus (MMC), and the Metropolitan Planning Council (MPC).

The Visual Informatics and Data Analytics Group

The Medical Informatics Lab and the Intelligent Multimedia Processing Lab house state-of-the-art research combining theory and experimental methodologies to provide novel solutions to challenging data problems.


Computational Methods

All required courses are available online. The Computational Methods concentration is designed for students who want to develop strong technical and programming skills for big data analytics. Students will be trained to handle and aggregate massive amounts of data and to use appropriate modeling and data mining techniques to extract information from complex data sources.

Computational Methods curriculum and requirements

Health Care

The health care concentration addresses the increasing need of data scientists responsible for gathering, integrating, analyzing and presenting health care data. Some courses are available online. Students will learn analytics methods to support clinical decision systems, to improve patients’ outcomes and patients’ experience, and to improve clinical care and costs.

Health Care curriculum and requirements


Some courses are available online. The Marketing concentration is designed for students who want to combine strong technical skills in analytics with competency in marketing analytics and customer relationship management. Students learn how to extract information from data to support business decision making and marketing decisions.

Marketing curriculum and requirements


Some courses are available online. The Hospitality concentration addresses the increasing demand of data scientists that combine the computational skills to extract information from massive amounts of data with the competency in hospitality revenue analytics and optimization. The focus of this concentration is to teach students the analytics needs and challenges of the hospitality and tourism industry.

Hospitality curriculum and requirements

Application Deadlines

Enrollment QuarterDomestic Student DeadlineInternational Student Deadline
FallAugust 1June 15
WinterDecember 1October 15
SpringMarch 1January 15
SummerMay 1April 15

Admission Process

The graduate application process involves completing an online application, sending in your transcripts and submitting any supplemental material (e.g., letters of recommendation, certifications, etc.). To learn more about your program specific requirements, visit our Graduate Admission page.

Admission Requirements

Contact Graduate Admission

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