M.S. in Data Analytics and Visualization
Making the World Smarter, Safer and Healthier
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Alumni Career Outcomes
M.S. in Data Analytics and Visualization
10 Courses I On-Campus in New York City I Full-Time or Part-Time
Data is the information economy’s fuel; like solar energy, it is a renewable resource that can benefit everyone at once without being diminished. Data provides a record of what has already happened, but its main value comes from improved decision-making and predictive capabilities.
By transforming quantitative data into qualitative insights, data analytics professionals shape organizational strategies and impact the bottom line. They also contribute to the greater social good, using data to address pressing challenges in health care, housing, poverty, education and transportation.
In the Katz School’s 30-credit M.S. in Data Analytics and Visualization, you’ll learn to transform raw data into insightful output. You’ll master the underlying science of predictive and exploratory analyses as well as techniques for creating visualizations and data narratives. You’ll master in-demand tools like Python, SQL/NoSQL, Tableau, AWS and AutoML. And unlike other data analytics programs, you’ll experiment with basic AI and machine-learning techniques. Learn from world-class professionals and get real-world predictive and analytical skills in the heart of New York City. Generous scholarships and financial aid are available.
Data analytics jobs are plentiful, salaries are high and the career paths you can take are abundant. The U.S. Bureau of Labor Statistics offers several different classifications for salaries and growth: financial analyst ($101,000); market research analyst ($71,500); and big data and machine learning. Companies large and small are seeking business analysts and data entrepreneurs who take an interdisciplinary approach to transforming data into a powerful, predictive and strategic asset. Yeshiva University’s M.S. in Data Analytics and Visualization prepares you for these in-demand analytics and data science careers.
Program Highlights
Learn the science behind the skills: build predictive and descriptive models and uncover reliable, repeatable patterns hidden in data
Get hands-on experience with structured and unstructured data, using corporate and open source datasets
Build predictive and descriptive models and perform exploratory analyses in verticals, such as e-commerce, marketing, social media, finance, real estate, sports and healthcare
Apply advanced analytics best practices to business problems: improve decision-making, build insights, penetrate new markets, reduce costly operations and monetize data capabilities
Gain industry experience through internships and research
F-1 STEM-OPT eligible
Full Program Breakdown
M.S. in Data Analytics and Visualization
10 Courses I On-Campus in New York City I Full-Time or Part-Time
Data is the information economy’s fuel; like solar energy, it is a renewable resource that can benefit everyone at once without being diminished. Data provides a record of what has already happened, but its main value comes from improved decision-making and predictive capabilities.
By transforming quantitative data into qualitative insights, data analytics professionals shape organizational strategies and impact the bottom line. They also contribute to the greater social good, using data to address pressing challenges in health care, housing, poverty, education and transportation.
In the Katz School’s 30-credit M.S. in Data Analytics and Visualization, you’ll learn to transform raw data into insightful output. You’ll master the underlying science of predictive and exploratory analyses as well as techniques for creating visualizations and data narratives. You’ll master in-demand tools like Python, SQL/NoSQL, Tableau, AWS and AutoML. And unlike other data analytics programs, you’ll experiment with basic AI and machine-learning techniques. Learn from world-class professionals and get real-world predictive and analytical skills in the heart of New York City. Generous scholarships and financial aid are available.
Data analytics jobs are plentiful, salaries are high and the career paths you can take are abundant. The U.S. Bureau of Labor Statistics offers several different classifications for salaries and growth: financial analyst ($101,000); market research analyst ($71,500); and big data and machine learning. Companies large and small are seeking business analysts and data entrepreneurs who take an interdisciplinary approach to transforming data into a powerful, predictive and strategic asset. Yeshiva University’s M.S. in Data Analytics and Visualization prepares you for these in-demand analytics and data science careers.
Learn the science behind the skills: build predictive and descriptive models and uncover reliable, repeatable patterns hidden in data
Get hands-on experience with structured and unstructured data, using corporate and open source datasets
Build predictive and descriptive models and perform exploratory analyses in verticals, such as e-commerce, marketing, social media, finance, real estate, sports and healthcare
Apply advanced analytics best practices to business problems: improve decision-making, build insights, penetrate new markets, reduce costly operations and monetize data capabilities
Gain industry experience through internships and research
F-1 STEM-OPT eligible
Data Analytics Fellows
Join students and alumni from over 30 countries to work on pioneering research, citywide initiatives, and new technologies that help to make the world smarter, safer and healthier.
Benefits
- Receive industry mentorship
- Showcase and publish your research at Katz School's annual Symposium on Science, Technology and Health
- Receive a generous tuition scholarship
Learn more about the Fellows Program.
B.A./M.S. Pathways Option
Through the B.A./M.S. option, undergraduates from Yeshiva College and Stern College for Women can take up to nine graduate credits that will count toward both their bachelor's and master's degrees. After completing their bachelor's, students can finish their graduate degree in just one more year.
- Admissions criteria: Junior or senior in any YC/SCW undergraduate major with a minimum GPA of 3.2 and a minimum grade of B-plus in the prerequisite courses listed below. Students can begin taking graduate coursework in their junior or senior year.
For more information, visit www.yu.edu/pathways.
Internships and STEM-OPT
Gain industry experience in major companies, startups and the YU Innovation Lab through internships that count toward your degree. Yeshiva University's M.S. in Data Analytics and Visualization is a STEM-approved degree. International students may be eligible for up to 36 months of Optional Practical Training (OPT). The program also offers several opportunities for Curricular Practical Training (CPT).
Recent Internships
- Standard & Poor's
- American Eagle Outfitters
- Image360
- Partify
- Alpha Properties
- Berdon LLP Accountants and Advisors
- DENTIDESK, Inc.
Recent Jobs
- IBM
- BlackRock
Interested in this program? Apply Now!
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Admissions & Financial Aid
Graduate Admissions
General Inquiries
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Knowledge Requirements
Candidates must possess a bachelor’s degree from an accredited college or university and the following prerequisite courses:
- One course in calculus
- One course in statistics
- One course in programming (in a modern language such as C++, Java, or Python)
Prerequisites must have been completed within the last three years, with a grade of B+ or better.
Application Information
Visit Graduate Admissions for up-to-date application requirements and deadlines.
Questions? Schedule an appointment with an admissions director if you have questions about your qualifications, financial aid opportunities and financing your graduate degree. We can do a preliminary transcript review and discuss your admissions and financing options with the Katz School.
Tuition, Financial Aid and Scholarships
The Office of Student Finance maintains current tuition and fees for all graduate programs.
All applicants are automatically considered for the STEM Fellows program. You do not need to submit any additional information.
Graduate Admissions
General Inquiries
Join our Community
Knowledge Requirements
Candidates must possess a bachelor’s degree from an accredited college or university and the following prerequisite courses:
- One course in calculus
- One course in statistics
- One course in programming (in a modern language such as C++, Java, or Python)
Prerequisites must have been completed within the last three years, with a grade of B+ or better.
Application Information
Visit Graduate Admissions for up-to-date application requirements and deadlines.
Questions? Schedule an appointment with an admissions director if you have questions about your qualifications, financial aid opportunities and financing your graduate degree. We can do a preliminary transcript review and discuss your admissions and financing options with the Katz School.
Tuition, Financial Aid and Scholarships
The Office of Student Finance maintains current tuition and fees for all graduate programs.
All applicants are automatically considered for the STEM Fellows program. You do not need to submit any additional information.