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Yeshiva University Launches M.S. in Digital Marketing & Media

By Artūras Malašauskas Apr 28, 2026 4 min read Share:
Yeshiva University's Katz School offers a 30-credit master's program in digital marketing with AI integration, available online or on-campus in NYC for $19K to $35K depending on residency.

The Katz School of Science and Health at Yeshiva University has positioned its M.S. in Digital Marketing & Media as a hybrid program blending traditional marketing strategy with modern technical fluency. The 30-credit curriculum runs for 15 months full-time or part-time, with delivery options spanning on-campus classes in Midtown Manhattan or fully online formats. Tuition totals $19,000 for U.S. students and $35,000 for international applicants, according to the official program page.

Digital marketing today operates under constraints that didn't exist a decade ago. Privacy regulations limit cross-platform tracking, forcing teams to design disciplined experiments and interpret incomplete attribution metrics. Misreading performance distorts strategy, and inefficient spend compounds fast. The program addresses this by requiring students to integrate analytics, automation, and experimentation into cohesive digital strategy.

Coursework demands hands-on interaction with enterprise platforms. Students design and optimize multi-channel campaigns using Meta Ads Manager, Google Analytics 4, and Power BI. They analyze audience behavior and real-time performance metrics, then build dashboards measuring acquisition, retention, and lifetime value. There's also generative AI training to accelerate creative development and automate experimentation—though the curriculum emphasizes learning when human judgment must guide strategic decisions.

The program splits into two distinct tracks. The Digital and Social Strategies track prepares graduates for digital-first organizations, covering social media strategy, content creation, and brand engagement using tools like Adobe Creative Suite and LinkedIn. The Marketing Analytics track takes a quantitative approach, requiring fluency in SQL, R, Tableau, and syndicated resource data mining. Students aggregate data, conduct statistical analysis, and develop testing schedules based on potential ROI.

Core requirements span six courses totaling 18 credits, including communications, consumer behavior, marketing management, brand management, research methods, and a capstone project. The capstone requires building a fully integrated campaign—digital, social, and e-commerce—for a real company. This creates portfolio-ready work reflecting the full-funnel accountability employers expect today.

Faculty credentials matter here. The program lists instructors with backgrounds at EY, Microsoft, Citi, and major advertising agencies including FCB and Draftfcb NY. One instructor brings over a decade leading communications for the New York Knicks and Madison Square Garden. Another is a senior brand strategist who has worked on campaigns for Thomas J Lipton and Backer Spielvogel Bates. These aren't theoretical marketers—they've shipped campaigns that moved actual revenue.

Elective offerings vary by semester, which means some choices won't be available for a particular cohort. Students should check the curriculum page for current availability. Internships are available as 1-3 credit electives, though the program doesn't guarantee placement.

The physical experience differs depending on format. On-campus students attend daytime or evening classes in Midtown NYC, walking into lecture halls where they can immediately test campaign ideas against real-time data. Online students navigate the same curriculum through digital interfaces, clicking through analytics dashboards and submitting campaign briefs via learning management systems. The friction is different, but the deliverables are identical.

Admissions require a bachelor's degree from an accredited institution. All applicants are automatically considered for the STEM Fellows program without additional documentation. The Office of Student Finance maintains current tuition and fees, and admissions directors offer preliminary transcript reviews for qualified candidates. Financial aid opportunities exist, though specific scholarship amounts aren't publicly detailed.

International students represent a significant portion of enrollment. The program's location in New York City provides access to advertising agencies, tech companies, and media firms that recruit from the program. Placement programs exist after course completion, but graduates must still compete in a crowded job market where degrees alone rarely guarantee employment.

Whether the $19K to $35K investment pays off depends on individual career trajectories. The program provides technical skills and industry connections, but it doesn't guarantee job placement or salary increases. Students entering with prior marketing experience will likely extract more value than those starting from zero. The real question is whether graduates can translate classroom campaigns into measurable business outcomes once they're on the job.

Time will tell if the curriculum keeps pace with platform changes. Social media algorithms shift quarterly, privacy regulations evolve, and AI tools advance faster than most universities can update course materials. The program's Special Topics courses attempt to address emerging technologies, but students should expect to continue learning independently after graduation. That's the reality of digital marketing—no degree makes you permanently current.

Arturas Malas Artūras Malašauskas is an AI Systems Integrator with 20+ years of production-grade web engineering experience. He has designed, shipped, and scaled enterprise Python/PHP systems for logistics, SaaS, and public-sector clients. For the past year, he has focused exclusively on AI integrations: deploying open-source LLMs, building generative media pipelines (image, audio, video), and engineering multi-agent workflows for real production environments. His standard: reproducibility, security, cost-efficient inference—no vaporware. He documents and evaluates emerging AI tooling, separating verified capabilities from marketing noise. Technical editor at: muza-ai.eu, ai-verslas.lt, ai-naujinos.lt Connect on LinkedIn
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