Purdue University Northwest

What you'll study

Study focuses on core data science areas: analytics, large‑scale data processing and predictive modeling, combined with applied projects and experiential learning to build practical skills for real problems.

Entry requirements

Specific admission requirements are not listed on the source text. Prospective applicants should consult the university’s graduate admissions pages for official prerequisites, application materials and deadlines.

Career prospects

Graduates are prepared to work where organizations need to extract insight from data and deploy predictive models: roles in analytics, data engineering, machine learning applications and other positions that support data‑driven decision making across industries.

Scholarships & funding angle (general)

Funding options commonly pursued by master's students include university scholarships, departmental assistantships and external fellowships; applicants should review the institution’s graduate funding resources and contact the programme for specific opportunities.