Master’s in Data Science Career Opportunities

With all of these opportunities, is a master’s in data science worth it? Similar to other tech jobs, the best and most efficient path toward a data science career is to earn a bachelor’s and/or master’s degree. In the field of data science as a whole, a master’s degree is often expected, if not required—and it often comes with higher salaries as well.

17% higher average salary

for data scientists with master’s degrees or above compared with those with only an undergraduate degree.⁹

Whether you’re looking to transition into data science, advance in your current role, or pivot to a new industry, New York Tech’s Career Services provide the support you need to achieve your goals. Our comprehensive resources are designed specifically for working professionals pursuing graduate education online, with flexible access to ensure you can take advantage of every opportunity.

New York Tech’s Career Services offers personalized development resources, on-demand tools, job search and application support, technical readiness assessments, and experiential learning opportunities. Learn more about each of the resources and how they can help you reach career readiness alongside your coursework.

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Job Search Strategies Workshops

Learn proven techniques for finding and applying to data science positions, from navigating job boards to leveraging your network effectively.

Handshake Platform

Connect directly with employers seeking New York Tech graduates through Handshake, our job and internship platform. Search for opportunities, research companies, and apply to positions specifically targeted to data science students.

Career Shift

Access our alumni network and search for job opportunities and professional connections with fellow New York Tech graduates working across industries and companies nationwide. Many data science students find this feature particularly valuable for networking and discovering hidden job opportunities.

Self-Assessment Resources

Take advantage of this process to clarify your career goals and to get support before beginning job applications. Learn where you excel and where you might need further development, and crucially, learn how to articulate your strengths in interviews. Additionally, access online resources to better understand careers in data science.

Mentoring Program

Connect with experienced professionals in data science and related fields who can provide guidance, industry insights, and career advice throughout your program and beyond.

Microinternship Program

Gain real-world data science experience through short-term, project-based work with companies. This is a powerful way to build your resume, develop practical skills, and make professional connections. For students entering the program without current employment in the field, microinternships provide a strategic pathway to demonstrate your capabilities and transition into full-time data science roles.