Data Science BS

Data Science is a growing field with a high demand in the employment market. There are many unfilled positions on job boards, particularly in the New Jersey and New York areas. The Bureau of Labor Statistics lists it as among the fastest-growing in the next 10 years with over a 35% rate. Thus, these jobs are going unfilled currently and there will be need for more in the future. So, a degree in Data Science prepares you for current and future careers.

Ramapo College offers a three-featured program with a core set of classes, a disciplinary minor (or double major), and a capstone research project. The core classes are designed for students to learn the technical skills necessary for data science, including statistics, computer programming, ethics, data visualization, communications, and data analysis. The project-based curriculum exemplifies how and why the disciplinary knowledge is so critical in converting data into information. Each student selects a required minor or double major to learn much deeper and more broadly the background information necessary to be an effective data scientist. The culminating experience of this program is a capstone project in which each student produces a solution to a data related problem from their minor (or double major) field of study. This structure best prepares students for either graduate school or employment.

A program is also offered.

Goal 1: Develop problem solvers

Outcome 1: Students will demonstrate the ability to solve data-related problems.

Goal 2: Develop effective communicators

Outcome 2: Students will communicate data findings effectively to any audience, orally, visually and in written formats.

Goal 3: Develop ethical and technically proficient professionals

Outcome 3: Students will demonstrate an understanding of ethical aspects of data management and reporting.

Outcome 4: Students will perform basic technical skills to prepare data for analysis.

Outcome 5: Students will appropriately formulate and use data analyses through computing, programming, statistical, and mathematical tools.

Goal 4: Develop effective interdisciplinary team members.