Master of Science in Human Capital Analytics & Technology : Data-driven Decision-making

2 Years On Campus Masters Program

New York University

Program Overview

The Master of Science in Human Capital Analytics and Technology at NYU prepares students to use data, technology and analytical methods to improve workforce management and organizational decision-making. The STEM-designated program combines human capital management, HR technology, quantitative analysis, workforce planning and business strategy to develop professionals capable of transforming HR practices through data-driven insights.

Curriculum Structure

Year 1: Students develop foundational knowledge through core courses covering Organization Management, HR Systems, Managing Complex Projects, and human capital analytics. They also build quantitative and qualitative research, data interpretation and strategic decision-making skills through applied HR analytics coursework.

Year 2: Students advance their expertise through electives such as Storytelling With Data and Current/Future Trends in Human Capital Analytics and Technology. They complete a capstone involving practical projects with sponsoring organizations or a research thesis demonstrating evidence-based workforce solutions.

The program requires 30 credits, including seven core courses, six electives and a capstone. It can be completed in as little as 12 months; the year-wise structure is indicative.

Focus Areas

Human capital analytics, HR technology, workforce planning, people analytics, quantitative research, data visualization, HR information systems, organizational management, strategic decision-making and analytics management.

Learning Outcomes

Analyse workforce data, develop data-driven HR strategies, use HR technology, evaluate employee performance, improve talent acquisition, forecast workforce requirements, interpret analytical findings, communicate insights to executives and support organizational decision-making.

Professional Alignment (Accreditation)

STEM-designated program

The program is designated as a Science, Technology, Engineering and Mathematics (STEM) degree. Its curriculum incorporates competencies relevant to the Society for Human Resource Management (SHRM) framework and emphasizes analytical, technological and strategic HR capabilities.

Reputation (Employability Rankings)

9% projected job growth: Relevant occupational growth for 2024–2034, based on Lightcast 2025 data cited by NYU.
$124,800 median salary: Occupational salary benchmark reported by NYU using Lightcast 2025 data.
95% working and/or in school: NYU SPS Graduate Class of 2024 outcome.

Experiential Learning (Research, Projects, Internships etc.)

At New York University, the Master of Science in Human Capital Analytics & Technology : Data-driven Decision-making program is designed to provide students with hands-on experience that bridges the gap between theory and practice. Through a combination of innovative coursework and real-world applications, students gain practical skills that are essential for success in the rapidly evolving field of human capital analytics. The program leverages state-of-the-art facilities and tools, ensuring that students are well-equipped to tackle contemporary challenges in workforce management and analytics.

Here are some key experiential learning opportunities available to students in this program:

- Capstone Projects: Engage in real-world projects that allow you to apply your learning to solve actual business problems, often in collaboration with industry partners.
- Internships: Gain valuable work experience through internships that provide insights into the practical applications of human capital analytics in various organizations.
- Software Training: Learn to use industry-standard software tools such as Tableau, R, and Python for data analysis and visualization, which are crucial for making data-driven decisions.
- Collaborative Group Projects: Work alongside peers on team-based assignments that simulate real workplace dynamics and enhance your teamwork and communication skills.
- Field Trips: Participate in visits to leading companies and organizations to observe and understand how human capital analytics is applied in different settings.
- Research Labs: Access dedicated research facilities where you can conduct studies and experiments related to human capital analytics and technology.
- Libraries and Resources: Utilize NYU's extensive library system, which includes a wealth of resources on human capital management, analytics, and technology.
- Networking Opportunities: Connect with industry professionals through guest lectures, workshops, and networking events hosted by the program.

Progression & Future Opportunities

Pursuing an Master of Science in Human Capital Analytics & Technology : Data-driven Decision-making at New York University opens the door to a wealth of career opportunities in the rapidly evolving field of human resources and data analytics. Graduates are well-prepared for roles such as HR Data Analyst, Talent Management Consultant, and Organizational Development Specialist. The program equips students with the skills to leverage data for strategic decision-making, making them invaluable assets to any organization.

Here’s what you can expect in terms of progression and future opportunities:

- University Services: NYU offers robust career services, including personalized career coaching, resume workshops, and networking events with industry leaders. The Wasserman Center for Career Development provides access to job postings and internship opportunities tailored to your field.

- Employment Stats and Salary Figures: Graduates from the program have a strong employment rate, with over 90% securing jobs within six months of graduation. The average starting salary for alumni in this field is around $85,000, with potential for significant growth as you gain experience.

- University–Industry Partnerships: NYU has established partnerships with leading organizations such as Deloitte, Accenture, and IBM, providing students with opportunities for internships, collaborative projects, and real-world case studies that enhance learning and employability.

- Long-term Accreditation Value: The program is accredited by the Association to Advance Collegiate Schools of Business (AACSB), ensuring that your degree holds significant value in the job market and is recognized globally.

- Graduation Outcomes: Alumni have gone on to work in diverse sectors, including technology, healthcare, and finance, often taking on leadership roles that influence organizational strategy and culture.

Further Academic Progression: After completing the Master of Science in Human Capital Analytics & Technology : Data-driven Decision-making, you may choose to further your studies by pursuing a PhD in Human Resource Management or Organizational Behavior. This advanced education can deepen your expertise and open doors to academic positions or high-level consultancy roles, allowing you to contribute to the field through research and thought leadership.