Department Website
Program Description
The Master of Science in Human Capital Analytics and Technology (HCAT) is an accelerated, 30-credit program that can be completed online, onsite, or in a blended format. All incoming students are required to attend a one-week intensive course onsite in NYC at the start of the program. This degree is designed for emerging and mid-level professionals (three to five years or more of related experience) who have a strong interest 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 not only research, evaluate, and implement analytical methods and technology, but also to build a narrative around the data for a broad array of stakeholder audiences. Students will also acquire the analytical approaches, technology readiness, business acumen, and communication skills necessary to lead human capital analytics and technology functions.
The Human Capital Analytics and Technology master's is offered through the Human Capital Management department within the Division of Programs in Business.
Admissions
All applicants to the School of Professional Studies (SPS) are required to submit the general application requirements, which include:
- Application Fee
- College/University Transcripts
- Résumé
- Statement of Purpose
- Degree Requirements
- Recommendations
- Kira Talent Assessment
- Degree-Specific Requirements
- English Language Assessment
- Pearson Versant English Placement Test
- International Transcript Evaluation
- International Student Visa Requirements
See degree specific application requirements for instructions specific to this program.
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 | |
| Agile Methods and Organization | |
| 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.