Master of Science in Management and Analytics

The 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.

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, data visualization, 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.

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.

Management and Analytics students who complete the Business Informatics concentration may pursue certification by INFORMS as a Certified Analytics Professional (CAP); those who complete the Risk Analytics concentration may aspire to be certified by ISC2 as a Certified Information Systems Auditor (CISA) or as a Certified Information Systems Security Professional (CISSP); if the Business Analysis concentration is completed, graduates may want to consider the IIBA Certified Business Analysis Professional (CBAP) certification. Professional certifications have separate examination and eligibility requirements set by the awarding bodies.

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 advanced analytics 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.

Organizations across finance, healthcare, retail, and technology require professionals who possess a mastery of both strategy and data analytics. Graduates commonly step into titles such as strategy and analytics associate, business operations lead, predictive analytics analyst, FP&A analyst, or program manager. Prior grads have landed positions at companies including Google, JPMorgan Chase, Salesforce, Uber, Robinhood, FanDuel, and NYU Langone.

Graduates who possess a graduate degree in management and analytics typically earn higher salaries than their peers who've earned a bachelor's degree. Professionals just starting a career in business analytics typically start in the $75,000–$95,000 range in competitive US markets like New York, while mid‑career professionals with a few years of experience can earn $100,000–$130,000. Seasoned business analysts who take senior analyst, analytics lead, or strategy roles in finance, tech, or consulting can earn upward of $140,000 when combining base salary with bonuses.

The MS in Management and Analytics is a 36-credit program that can be completed in a minimum of 18 months. Job growth in this field is projected to increase 15% between now and 2034.

Students build practical data-management skills, with opportunities to deepen their programming and data warehousing expertise through elective study courses including Syntax Language Programming, Application-Based Programming, and Advanced Data Warehousing Applications.