$2,785 Per credit
$27,562 Per term (10-12 credits)
*See NYU Bursar site for more info.
Develop Sound Competencies in Data-Driven Management
The NYU SPS Master's in Management and Analytics (MSMA) is a flexible graduate degree program that immerses you in New York City, equipping aspiring business professionals and leaders with the knowledge and skills to drive significant industry transformation.
The program’s interdisciplinary courses, led by industry pioneers, immerse students in the key facets of management approaches and practices, and the use of data to support and drive organizational decisions. Students gain hands-on experience, develop expertise with leading data analytic tools and approaches, and deepen their data analytic competencies, all while networking with industry leaders.
Develop Sound Competencies in Data-Driven Management
Tuition*
# of Credits
36 credits
Study Options
Online: may be completed 100% online
Hybrid: choose a mix of online and onsite courses
Onsite: all courses onsite
Onsite | Hybrid
Fall | Spring | Summer
Full-time | Part-time
Minimum Duration
18 months
STEM
See STEM site for more info
15%
job growth 2024-2034
$110K
median salary
91%
working and/or in school
12,081
Global Division of Programs in Business (DPB) alumni
Why This Degree?
Where You’ll Go
The world is calling, and SPS sets you on a path to answer it.
Where Our Alumni work
- Accenture
- Amazon
- Apple
- Bank of China
- Bloomberg
- Byte Dance
- Citigroup
- CTZ Group
- Con Edison
- Deloitte
- Ernst & Young
- Giorgio Armani
- Goldman Sachs
- KPMG
- Microsoft
- New York University
- Nielsen
- PriceWaterhouseCoopers
- Rokt Corp.
- United Nations
What Our Alumni Do
- Business Intelligence
- Data Management
- Database Administration
- Financial Analysis
- Innovation Leader
- IT Compliance
- Project Management
- Software Engineering
- Risk Management
- Quality Assurance
The above data is sourced from Lightcast
Real World Experiences
Your journey might begin in the classroom, but we ensure that you can learn through experience—rolling up your sleeves and taking your studies to the real world.
AI Accelerator Challenge with Microsoft
Student teams imagine the possibilities of AI-focused products and work with mentors from Microsoft to develop their ideas and pitch their results to a panel of NYU faculty and Microsoft leadership.
Innovation and Entrepreneurship GFI
Students can participate in GFIs where they meet with corporate leaders and visit notable companies throughout NYU’s Global campus.
Learn More About Global Field Intensives
Internships
MASY students can participate in internships and earn academic credit in the process. Many lead to post-graduation employment.
Alumni
Meet alumni who are achieving their ambitions for the future in Management and Analytics.
NYU was offering not only world class education but also an opportunity to be part of a city with such diverse cultures and experiences."
NYU was offering not only world class education but also an opportunity to be part of a city with such diverse cultures and experiences."
Faculty
Faculty members teaching in the MS in Management and Analytics have years of experience assessing and managing data for management and technology applications, across diverse fields.
View Faculty DirectoryWe're not just teaching them to use technology; we're preparing them to lead with it."
We're not just teaching them to use technology; we're preparing them to lead with it."
In the news
Using Generative AI for Real-World Projects
In the news
Why You Should Restart Your Computer
Experiential learning
NYU Innovators Look to Improve Healthcare DeliveryDive Deeper
Frequently Asked Questions
What is Management and Analytics?
he Management and Analytics degree integrates advanced data and risk analysis with strategic management to advance decision-making and enhance business operations. It extends beyond traditional information technology (IT), emphasizing the extraction of actionable insights from complex datasets. Professionals in this field use analytical tools and methodologies to forecast trends, inform strategic decisions, and drive organizational efficiency. They are tasked with managing and securing data and interpreting and utilizing that data to guide every facet of a business, from tactical improvements to broad strategic planning.
Who should consider earning an MS in Management and Analytics?
Students interested in pursuing leadership roles at the convergence of business and data analysis should consider seeking an MS in Management and Analytics. This degree enhances your analytical, managerial, and technological skills, positioning you as a strong contender in the ever-evolving digital business landscape. Ideal for recent college graduates and current professionals, this program equips you with the essential skills you need to manage and interpret enterprise data, guiding strategic decisions and innovations.
What key skills do management and analytics professionals need to succeed?
Management and analytics professionals must possess analytical acumen, business savvy, and strong communication abilities to make effective decisions and lead. They need advanced data management and analytics skills to extract actionable insights from complex datasets, while knowledge of technology development helps create efficient and scalable digital systems.
What certifications are available to graduates of the program?
Management and Analytics students who complete the Data Analytics concentration may pursue certification by INFORMS as a Certified Analysis Professional (CAP); those who complete the Risk Analytics concentration may aspire to be certified by ISACA as a Certified Information Systems Auditor (CISA) or as a Certified Information Systems Security Professional (CISP); if the Business Analysis concentration is completed, graduates may want to consider the IIBA Certified Business Analyst (CBA) certification.
What do management and analytics professionals do?
Management and analytics professionals evaluate organizational strengths and weaknesses, opportunities and threats, to identify needs and recommend data-driven solutions that align with both internal objectives and external expectations. These professionals plan and oversee the implementation of data management and analysis tools, ensuring the integrity and accessibility of data. They evaluate the effectiveness of data-driven projects, advocating for resources based on potential ROI from analytics initiatives. Staying current with advancements in data science and analytics technologies, they seek ways to enhance their organization’s analytical capabilities.
