Suffolk University

What you'll study

Coursework integrates core tools and techniques used in applied data science. Topics explicitly included in the curriculum are Python programming, Structured Query Language (SQL), machine learning, optimization, deep learning and forecasting. The program is built to deliver skills that transfer across a variety of industries and roles.

Entry requirements

The program is designed for part-time study and normally assumes prerequisite coursework in data analytics and/or data management and modeling. Application materials required by the Graduate Admission office include a completed application, a $50 application fee (the fee may be waived for attendees of a graduate admission event), a resume, unofficial transcripts of all post-secondary work and a goal statement. Admitted students must provide official transcripts, including proof of degree conferral, before beginning classes.

Career prospects

Graduates are prepared to make data-driven contributions within organizations, applying skills in programming, databases, forecasting and machine learning. The certificate aims to prepare students to participate in or support data science initiatives across a wide range of industry settings.

Scholarships & funding angle

Federal student loan aid may be available for this program (use Suffolk University code 002218). Suffolk University also offers various financing options and discounts, and lists specific opportunities such as Alumni Scholarships and partner programs (for example, Bright Horizons EdAssist Solutions). Prospective applicants should consult Student Financial Services for current tuition, fees and loan information.