Admission Requirements

Current undergraduate students who have yet to earn a bachelor’s degree or individuals with a bachelor’s degree in any discipline are eligible to apply.

Required courses (Semester Hours: 22)

Note: Students must pass the math placement test before enrolling in CSC 014  and MATH 071 . If a student does not pass the placement test, they must take MATH 050  along with CSC 014 before enrolling in MATH 071.

• CSC 014 - (MA, CS) Discrete Structures for Computer Science I Semester Hours: 3
• CSC 015 - (CS) Fundamentals of Computer Science I: Problem Solving and Program Design Semester Hours: 4
• CSC 016 - (CS) Fundamentals of Computer Science II: Data Structures, Algorithms and Object-Oriented Programming Semester Hours: 4
• MATH 071 - (MA) Analytic Geometry and Calculus I Semester Hours: 4
• MATH 072 - (MA) Analytic Geometry and Calculus II Semester Hours: 4
• MATH 085 - (MA) Multivariate Calculus and Linear Algebra Semester Hours: 3

Why Choose This Program?

• Ideal for Career Changers: Designed for individuals from non-technical backgrounds looking to transition into data science careers.
• Direct Pathway to Master’s Programs: Students who successfully complete the required courses with a grade of C or higher and hold a bachelor’s degree in any field from an accredited institution with a minimum cumulative GPA of 3.0 qualify for direct admission into Hofstra’s MS in Data Science, with scholarship opportunities available.
• Engaging In-Person Learning: Benefit from face-to-face instruction with expert faculty in a small, interactive classroom setting, fostering personalized support and collaboration.
• Accelerated Options Available: Students who have previously completed equivalent undergraduate courses (with a grade of B or higher) may waive those courses, allowing for a faster transition to graduate-level study.

By completing this program, you will be fully prepared to pursue advanced studies and career opportunities in the rapidly growing field of data science. For more details on Hofstra’s master’s programs, visit the Computer Science Department website.