Stevens Institute of Technology

What you'll study

The curriculum covers statistical analysis, data mining and machine learning, databases and data warehousing, network and social media analysis, optimization and risk modeling. Coursework explores tools and platforms such as R, SAS, Hadoop, Python and Spark, and culminates in a capstone that uses real data and industry mentorship. Students may specialize by choosing tracks focused on data analytics, data science and AI, or big data.

Entry requirements

Students enroll initially at NMIMS for the undergraduate portion (first year, 12 credits) then continue at Stevens (24 credits) as part of the coordinated accelerated pathway. GMAT/GRE scores are optional for all Stevens master’s applicants; applicants may submit scores if they believe the results strengthen their application.

Career prospects

Graduates are prepared for roles that combine technical and business judgment, including positions such as Data Analyst, Data Engineer, Business Analyst, Business Intelligence Consultant, Software Development Engineer and Artificial Intelligence Engineer. Employers hiring graduates include large firms across finance, technology and industry.

Scholarships & funding angle

Stevens highlights industry connections and School of Business career services—portfolio development, resume and interview support—which can improve employability and return on investment. Applicants should check both institutions' financial aid pages for specific scholarships, assistantships or funding opportunities available to accelerated‑program students.