Department Website
Program Description
The Master of Science in Human Capital Analytics and Technology (HCAT) is designed for emerging and mid-level professionals (three to five years or more of related experience) who have a strong interest in and appreciation for the role of people analytics and technology in business strategy and planning. Upon completion of the program, graduates will be able to research, evaluate, and apply analytical methods and technology, build a narrative around the data for a broad array of stakeholder audiences, and develop the business acumen and communications skills needed to be effective in executing and leading the human capital analytics and technology function.
Admissions
Admission to master’s programs at the NYU School of Professional Studies requires the completion of a U.S. bachelor's degree or its international equivalent. Admissions decisions are made through a holistic review process. Visit the SPS Admissions website for detailed application requirements and deadlines.
Program Requirements
The program requires the completion of 30 credits, comprised of the following:
Course List
| Course |
Title |
Credits |
| HCAT1-GC 1000 | People and Organization Management | 3 |
| HCAT1-GC 1005 | Workforce Planning | 3 |
| HCAT1-GC 1010 | Human Resources Information Systems | 3 |
| HCAT1-GC 1015 | Business Communications | 1.5 |
| HCAT1-GC 1020 | Managing Complex Projects | 1.5 |
| HCAT1-GC 1025 | Managing the Analytics Function | 3 |
| HRCM1-GC 1210 | Quantitative Methods and Metrics for Decision Making | 3 |
| 9 |
| Current/Future Trends in Human Capital Analytics and Technology | |
| Storytelling with Data | |
| Digital Workplace Design | |
| Intelligent Automation | |
| Algorithmic Responsibility | |
| Designing Agile Organizations | |
| Internship | |
| HCAT1-GC 3000 | Capstone Project | 3 |
| Total Credits | 30 |
Learning Outcomes
Upon successful completion of the program, graduates will:
- Analyze employee life cycle and assess skills needed to meet strategic business objectives.
- Employ the complete spectrum of analytics activities: descriptive (what happened), diagnostic (why it happened), predictive (what will happen), and prescriptive (what should happen) to address specific human capital challenges.
- Analyze relevant theoretical frameworks, strategies and tools to consider technology challenges from varied perspectives.
- Adopt latest technologies to support decision making to advance the strategic goals of an organization.
- Effectively communicate data-driven findings to organizational stakeholders in non-technical terms.
- Apply data visualization techniques to effectively communicate information.
- Justify algorithmically informed decisions to ensure ethical accountability and prevent unjust impacts.
- Forecast impact of emerging technologies on business and social outcomes.
- Demonstrate the business acumen, leadership, and communication skills necessary to build support and buy-in for human capital analytics and technology initiatives.
- Partner with organizational leadership to leverage human capital management initiatives for competitive advantage.
Policies
NYU Policies
University-wide policies can be found on the New York University Policy pages.
School of Professional Studies Policies
Additional academic policies can be found on the School of Professional Studies academic policy page.
Internship Course Policy
Students must complete a minimum of 18 credits and have a minimum GPA of 3.0 to be eligible to apply for the internship course.