IT Pay Ranges From $62,890 To $175,140
New data shows a 20% growth rate for tech roles by 2035, with data science and security leading the expansion.
By Jonathan Hoffmann ·

The income gap between entry-level tech support and senior management has widened, with national pay ranging from $62,890 to $175,140. Salaries in the New York metro area sit higher than these national benchmarks across all five major IT disciplines. These figures reflect the current market for roles spanning software development, data analytics, cybersecurity, infrastructure, and artificial intelligence.
The U.S. Bureau of Labor Statistics projects that computer and information technology occupations will outpace the average career growth rate through 2035. The field is expected to generate approximately 280,000 openings annually, a number that includes both new positions and those created by retirements and turnover. This growth rate significantly exceeds the 3.5 percent projected increase for all occupations combined over the same period.
Growth is not uniform across the sector. Data and artificial intelligence roles are expanding at the fastest clip, with data scientist positions projected to grow by 35 percent and information security analyst roles by 22 percent. Employers in these areas are increasing investment, often requiring graduate degrees for senior positions. Conversely, roles in programming, systems administration, and user support are contracting as automation handles routine tasks, though these positions still see thousands of openings per year due to turnover.
Software developers and quality assurance analysts remain in high demand across banking, healthcare, and government sectors. A bachelor's degree is typically sufficient for entry-level positions, but a master's degree often differentiates candidates for lead roles involving system architecture. Pay in this sector sits well above the IT average, with higher compensation in the New York region.
Web developers and digital designers share responsibility for site performance and user experience. Developers focus on engineering stability under heavy traffic, while designers prioritize layout and navigation. The path into this field is flexible, with some professionals securing roles based on portfolios alone. National pay is slightly below the IT average but rises in the New York metro area where design talent is in steady demand.
Computer programmers, who translate design specifications into executable code, face a modest decline in employment over the next decade. This contraction is driven by the shift toward automation and broader developer roles. Many programmers use the position as a stepping stone to development or management, often pursuing graduate education to facilitate that transition.
Data scientists are among the fastest-growing roles in the field, tasked with cleaning raw data and building statistical models to forecast outcomes. The job requires a mix of technical modeling skills and the ability to explain findings to non-technical stakeholders. While a bachelor's degree can open the door, many employers prefer candidates with master's degrees, particularly in finance and media sectors competing for analytical talent.
Database administrators and architects manage the storage and security of organizational records. Architects design the structure of new databases, while administrators maintain stability and availability for end users. These roles concentrate in organizations with large volumes of data, ensuring that information remains accessible and secure.
Pace University offers specific graduate programs aligned with these high-growth areas. The school’s MS in Software Development and Engineering is the only IEEE Registered Education Provider program in the eastern United States, preparing students for large-scale system delivery. Other options include an MS in Computer Science for algorithmic depth, a master's in Human Centered Design for UX work, and an MS in Data Science for roles requiring proficiency in Python, R, and TensorFlow.
For those targeting applied artificial intelligence, Pace provides a master's program focused on turning machine learning theory into practical solutions. These credentials are positioned to help candidates enter senior roles in the disciplines where employment growth is projected to be strongest through 2035.
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