Data Science - Marketing MS
DePaul University Campus, United States
Master of Science in Data Science - Marketing Concentration
DePaul University
Data Science & Marketing Analytics
Program Overview: MS in Data Science - Marketing at DePaul University
The Marketing concentration within DePaul University's MS in Data Science is designed for students who want to combine strong technical skills in analytics with competency in marketing analytics and customer relationship management. You will learn how to extract information and gain insights from data to support business decision making and marketing decisions.
Housed within the Jarvis College of Computing and Digital Media (CDM), this program provides students with the skills and knowledge to be successful in a data science career. Graduates develop the ability to analyze large datasets, build modeling solutions to support decision-making, and communicate results effectively to a non-technical business audience.
The program can be completed entirely online or on campus in Chicago, with no distinction between the two formats. Students benefit from real-world projects, industry partnerships, and access to DePaul's Data Mining and Predictive Analytics (DAMPA) Center, which fosters collaboration between faculty, students, and organizations in the analytics field.
Key Program Highlights
- Flexible delivery: complete the degree 100% online or on campus in Chicago's vibrant Loop district
- Capstone options include a real-world analytics project, internship, capstone course, or master's thesis
- Curriculum blends advanced data science methods with marketing analytics and CRM competencies
- Access to the DAMPA Center for applied research and industry collaboration in predictive analytics
Curriculum & Modules
The MS in Data Science - Marketing concentration requires a minimum of 48 graduate credit hours, structured across introductory, foundation, advanced, concentration-specific, elective, and capstone courses. The curriculum emphasizes technical proficiency in data mining, statistics, and machine learning, while building specialized knowledge in marketing analytics and customer relationship management.
Database Processing for Large-Scale Analytics
4 Credit HoursCovers database design, SQL querying, and data management techniques essential for handling large-scale analytical datasets in enterprise environments.
Data Analysis and Regression
4 Credit HoursFocuses on statistical methods including linear and logistic regression, hypothesis testing, and data preparation techniques such as normalization and reduction.
Fundamentals of Data Science
4 Credit HoursIntroduces core data science concepts including data representation for analytic applications, predictive model development, and evaluation of data mining algorithms.
Programming Machine Learning Applications
4 Credit HoursProvides hands-on experience in implementing machine learning algorithms and developing predictive models using modern programming frameworks and tools.
Data Visualization
4 Credit HoursTeaches techniques for creating compelling visual representations of complex data, enabling effective communication of analytical insights to business stakeholders.
Marketing Analytics and Customer Relationship Management
4 Credit HoursExplores marketing analytics methods and CRM strategies, focusing on how data-driven insights support business decision-making and customer engagement initiatives.
Elective Courses
Admission Requirements
Admission to the MS in Data Science - Marketing concentration at DePaul University is handled exclusively through Uni4Edu. The program seeks candidates with a strong academic background and relevant quantitative or technical skills. Introductory courses may be waived based on prior coursework or professional experience verified through faculty review or a Graduate Assessment Examination (GAE).
Academic Requirements
- Degree RequirementBachelor's degree from an accredited institution
- GPAMinimum 2.5 on a 4.0 scale; competitive applicants typically have higher GPAs
- GRE/GMATNot required for most applicants; may strengthen application if submitted
- Background KnowledgeFoundational knowledge in statistics, programming, and data analysis recommended
- Professional ExperienceRelevant work experience is valued but not mandatory
English Language Requirements
- TOEFL iBTMinimum 80 overall with no section below 17
- IELTS AcademicMinimum overall score of 6.5
- Duolingo English TestMinimum overall score of 115
Required Documents
For personalized admission guidance, document verification, and application support, please contact Uni4Edu
Scholarships & Funding
DePaul University offers various scholarships and financial aid opportunities for incoming CDM graduate students, including merit-based awards and funded research opportunities. Contact Uni4Edu to learn about the latest funding options available for international students pursuing the MS in Data Science - Marketing concentration.
CDM Graduate Merit Scholarship
Merit-based scholarship awarded to incoming CDM graduate students demonstrating strong academic achievement and professional promise in data science and related fields.
For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.
Career Prospects
Graduates of the MS in Data Science - Marketing concentration are well-prepared for high-demand roles that bridge advanced analytics with marketing strategy. DePaul's location in Chicago provides access to a thriving business ecosystem, and the program's alumni network includes leaders across a wide range of industries. Students frequently secure positions within three months of graduation or even before completing the degree.
Potential Job Roles
Where Graduates Work
Rankings & Recognition
DePaul University is a well-established private institution founded in 1898 and the largest Catholic university in the United States. It is consistently recognized for academic quality, innovation, and value by leading ranking bodies. The MS in Data Science program has been recognized by Fortune as a top program in 2025.
| Subject | Ranking Body | Rank |
|---|---|---|
| Data Science | Fortune | Top Program 2025 |
| Online Business Administration | U.S. News & World Report | #8 |
| MBA Entrepreneurship | The Princeton Review | #15 |
| Best Value Schools | U.S. News & World Report | Top Ranked |
How to Apply
Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.
Contact Uni4Edu
Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.
Prepare Your Documents
Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.
Submit Your Application
Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.
Receive Your Offer
Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.
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