Data Analytics

Curriculum requirements for the Master of Science in Data Analytics comprise 10 graduate courses, culminating in a capstone experience. Our comprehensive program, taught by expert faculty, covers the following:

• Data mining and visualization techniques
• Statistical modeling and optimization
• Machine learning applications
• Business research methods
• Data ethics and security
• Project management fundamentals

View the complete curriculum and requirements for the MS in Data Analytics program.

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The course structure for the MS in Data Analytics includes eight required courses in advanced data structures and analysis, one elective course in a specialized area, and one capstone project. Take courses including:

• Machine Learning for Predictive Analytics
• Enterprise Data Management
• Optimization and Risk Assessment

In a final capstone experience, students in the master’s in data analytics program tackle real-world case studies using industry-standard tools. With the opportunities of New York City and Westchester County nearby, they can network with professionals in collaborative research and applied data science projects.

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Our MS in Data Science program helps graduates excel in demanding roles across data analysis and business intelligence, data science, and statistics and modeling through skills in collecting, cleaning, storing, analyzing, protecting, and reporting data and data analysis.

Through capstone experiences and access to nearby organizations in the NYC metropolitan area, Manhattanville’s MS in Data Analytics degree program provides students interested in furthering careers in data science, statistical modeling, business analytics, and related areas with:

• Project management best practices, including managing resources, timelines, and budgets
• Use of quantitative analysis, optimization, and risk assessment techniques and algorithms to support data-driven decisions and forecast future trends
• Written and verbal stakeholder engagement and communication
• Portfolio development opportunities in data visualization, machine learning, and predictive modeling
• Experience in computing programs and statistical analysis software, including Python, R Studio, etc.
• Preparation for data analysis in healthcare, business, marketing, technology, and other industries

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The MS in Data Analytics program prepares students for high-demand roles through practical skill development and industry alignment. By learning strategic decision-making and essential project communication, along with mastering machine learning, data visualization, and predictive modeling, graduates of our data analytics master’s degree can excel in positions with high starting salaries, such as:

• Management Analysts - $99,410
• Financial Analysts - $99,890
• Statisticians - $104,860
• Data Scientists - $108,020

Strategic proximity to NYC allows for opportunities for high-octane internships and networking. Learn from experts for insights into data analytics in industries including healthcare, finance, and business systems.Admissions

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We review all applications holistically, with rolling deadlines until the first week of classes. Those who succeed in the program will likely have basic programming knowledge, fundamentals of mathematics and statistics, and some data analysis experience.

Fall Priority Deadline: August 1 (Decisions begin in early February)
Spring Priority Deadline: December 1 (Decisions begin October)

Current undergraduate students at Manhattanville can take an accelerated pathway to transition to the MS in Data Analytics from a related bachelor’s degree program, ensuring their preparation.

Review complete graduate admissions information at Manhattanville University.

For questions about the admissions process, contact Trisha Feliciano, Assistant Director of the Graduate School of Arts and Science Admissions.

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Materials for the MS in Data Analytics application include:

• Completed graduate application
• Completed bachelor’s degree from an accredited institution
• Coursework or experience in math, statistics, and basic computer science
• Transcripts from previously attended institutions
• Current resume or CV
• Letter of recommendation
• Written personal statement

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Review current tuition and fees for our graduate programs. To help manage the cost of the program, graduate students in the MS in Data Analytics degree program can access financial aid options, including:

• Federal Direct Loans
• Graduate PLUS Loans
• Merit-based scholarships
• Payment plans

Depending on the needs of our expert faculty, graduate assistantships may be available in some cases.

Review financial aid at Manhattanville University
Contact the Office of Financial Aid
Contact the Office of Residence Life for on-campus housing availability 

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Manhattanville University’s School of Arts and Sciences proudly confers various computing and science master’s degrees, fostering inclusion and interdisciplinary innovation. Explore our other offerings:

• MS in Computer Science
• MS in Finance
• MS in Biomedical Sciences
• 4+1 BA in Mathematics and MS in Computer Science

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If you’re looking for a comprehensive undergraduate and graduate-level education that prepares you for some of the most challenging, in-demand, and highly paid careers today, gain foundational knowledge in a related discipline and transition to building advanced data analytics skills in a 4+1 accelerated program. Start with one of our bachelor’s degree programs paired with data analysis, such as Computer Science, Mathematics, Data Science, or Business.

See all 4+1 accelerated bachelor’s-to-master’s programs and all majors and minors.

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