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M.S. in Data Analytics and Visualization

Making the World Smarter, Safer and Healthier

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Eligible for

STEM-OPT
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Affordable

$25k
Fixed-Rate Tuition
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U.S. News & World Report

Top 100
University in the U.S.
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Alumni Career Outcomes

95%
employed within 6 months
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Data is the information economy’s fuel; like solar energy, it is a renewable resource that can benefit everyone at once without being diminished. Companies want to harvest as much data about people as possible to target them for advertisements, track high-traffic areas in stores or show us more cat videos to keep us on their site longer. Data provides a record of what has already happened, but its main value comes from improved decision-making and predictive capabilities. Major companies choose products and prices based on what you, and others like you, bought in the past. Your data improves their decision-making, boosting corporate profits. 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 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

Data is the information economy’s fuel; like solar energy, it is a renewable resource that can benefit everyone at once without being diminished. Companies want to harvest as much data about people as possible to target them for advertisements, track high-traffic areas in stores or show us more cat videos to keep us on their site longer. Data provides a record of what has already happened, but its main value comes from improved decision-making and predictive capabilities. Major companies choose products and prices based on what you, and others like you, bought in the past. Your data improves their decision-making, boosting corporate profits. 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 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

Swipe to learn more!

Data is the information economy’s fuel; like solar energy, it is a renewable resource that can benefit everyone at once without being diminished. Companies want to harvest as much data about people as possible to target them for advertisements, track high-traffic areas in stores or show us more cat videos to keep us on their site longer. Data provides a record of what has already happened, but its main value comes from improved decision-making and predictive capabilities. Major companies choose products and prices based on what you, and others like you, bought in the past. Your data improves their decision-making, boosting corporate profits. 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 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

  • Total tuition of $25k for your entire degree
  • Receive industry mentorship
  • Showcase your capstone at our annual conference
  • Publish your capstone in our conference proceedings

Take the guesswork out of paying for graduate school. You’ll pay a fixed rate tuition of $25k from start to finish, whether you finish in one or two years, or are a domestic or international student.

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.
  • Prerequisites for graduate courses: One course in probability and statistics, one course in calculus and one course in programming – all with a minimum grade of B-plus.

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! 

At a Glance

30-credit Master of Science

Full-time or part-time

Online or on-campus

Evening courses so that you can work full-time while completing your degree

Leading research and industry expert faculty

Work closely with faculty in every class

Admissions Criteria 

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 in the last three years, with a grade of B-plus or better. 

TOEFL, IELTS or Duolingo scores demonstrating strong communication skills are required for candidates whose bachelor's degrees were earned at a non-English-speaking institution. 

Making a career change or don't have these prerequisites?

We offer a Programming Fundamentals course that provides an introduction to analytical programming in Python. You'll work with variables, operators, control flow syntax and user-defined functions as well as gain experience using pandas and seaborn libraries. 

We also offer a fully online, 11-week intensive English program for applicants with low- to upper-intermediate English reading, speaking and writing skills. 

Contact an admissions director for more information.

Application Requirements 

Candidates must possess a bachelor's degree from an accredited college or university and must submit the following items: 

  • Online application  
  • Official transcripts from all institutions attended
  • Résumé 
  • Personal statement that describes your goals for pursuing the MS in Data Analytics and Visualization 
  • Two letters of recommendation 
  • TOEFL, IELTS or Duolingo scores (for candidates whose bachelor's degrees were earned at a non-English-speaking institution) 
  • $50 application fee 

Application Deadlines 

For up-to-date application deadlines, visit Graduate Admissions.

Tuition & Financial Aid 

The Office of Student Finance maintains current tuition and fees for all graduate programs.  

Scholarships

All applicants are automatically considered for scholarships. You do not need to submit any additional information. Scholarship awards are determined during the application review process. 

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. 

Admissions & Financial Aid

Admissions Criteria 

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 in the last three years, with a grade of B-plus or better. 

TOEFL, IELTS or Duolingo scores demonstrating strong communication skills are required for candidates whose bachelor's degrees were earned at a non-English-speaking institution. 

Making a career change or don't have these prerequisites?

We offer a Programming Fundamentals course that provides an introduction to analytical programming in Python. You'll work with variables, operators, control flow syntax and user-defined functions as well as gain experience using pandas and seaborn libraries. 

We also offer a fully online, 11-week intensive English program for applicants with low- to upper-intermediate English reading, speaking and writing skills. 

Contact an admissions director for more information.

Application Requirements 

Candidates must possess a bachelor's degree from an accredited college or university and must submit the following items: 

  • Online application  
  • Official transcripts from all institutions attended
  • Résumé 
  • Personal statement that describes your goals for pursuing the MS in Data Analytics and Visualization 
  • Two letters of recommendation 
  • TOEFL, IELTS or Duolingo scores (for candidates whose bachelor's degrees were earned at a non-English-speaking institution) 
  • $50 application fee 

Application Deadlines 

For up-to-date application deadlines, visit Graduate Admissions.

Tuition & Financial Aid 

The Office of Student Finance maintains current tuition and fees for all graduate programs.  

Scholarships

All applicants are automatically considered for scholarships. You do not need to submit any additional information. Scholarship awards are determined during the application review process. 

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. 

Program News

Welcome to Data Analytics and Visualization

A 30-credit master’s online or on-campus in New York City.

Welcome to Data Analytics and Visualization

""

Data Analytics in High Demand in New York City

Read more about this powerful, predictive asset

Data Analytics in High Demand in New York City

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. New York City is in a period of explosive growth in data science, artificial intelligence and machine learning. With Silicon Valley as the AI capital of the West Coast, New York City dominates the eastern United States. According to research compiled by Bloomberg, for artificial intelligence and machine learning jobs, New York City is outpacing San Francisco with 11.6 percent of job postings on indeed.com compared to San Francisco’s 9.6 percent. New York is also home to more than 7,000 startups, hundreds of which are standouts in the field of AI and machine learning. The Bloomberg report concludes that while AI and machine learning jobs have doubled since 2015, there aren’t enough viable candidates to fill open positions. 

Julian Ruggiero

Fulbright Scholar Links COVID-19 to Zip Codes

Read more about Julian Ruggiero’s research

Fulbright Scholar Links COVID-19 to Zip Codes

Julian Ruggiero, a Fulbright scholar in the Data Analytics and Visualization program, recently conducted an analysis of the occurrence of COVID-19 in the boroughs of New York City and found that people residing in zip codes predominantly populated by low socioeconomic groups, including African Americans and Hispanics, had a higher incidence of the virus, reflecting a significant relationship between infection rates and economic status. 

He used many variables in his research, including mean income, median income, population and population density, to predict the positive number of cases per thousand people in each zip code. His analysis showed that in some zip codes in Queens, up to 45 people per thousand tested positive whereas only 5 per thousand tested positive in Manhattan. 

“The association between positive tests and zip codes is almost certainly driven by economic factors and suggests that COVID is not, in fact, a great equalizer in the New York City area,” said Julian’s advisor, Sergey Fogelson, who teaches the course Computational Math and Statistics. 

Julian used linear regression models on publicly available datasets—New York City Department of Health and Mental Hygiene, U.S. zip code databases and U.S. Census Bureau reports—and combined the data to make inferences about what demographic factors had an impact on the incidence of COVID-19 cases in New York City as of May 23. 

Julian, who hails from Cordoba, Argentina, graduated from the National Technological University of Cordoba with a systems analyst degree. In 2018, he obtained an Argentine Presidential Fellowship in Science and Technology, sponsored by the Fulbright Commission, to pursue a master’s degree in the United States. 

“I chose the Katz School because of the project-oriented courses and its great faculty,” he said. “The more hands-on experience I get, the more prepared I will be for a future data analyst job using a project portfolio, so Katz was the perfect choice.” 

Yeshiva University shield

YU Ranked 68th Among Best National Universities

Read more about YU’s rankings

YU Ranked 68th Among Best National Universities

Yeshiva University ranks 68th among Best National Universities and 33rd among Best Value Schools in the 2022 edition of U.S. News & World Report’s Best Colleges.

Read more about Yeshiva University's rankings in U.S. News & World Report.

Welcome to Data Analytics and Visualization

A 30-credit master’s online or on-campus in New York City.

Welcome to Data Analytics and Visualization

""

Data Analytics in High Demand in New York City

Read more about this powerful, predictive asset

Data Analytics in High Demand in New York City

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. New York City is in a period of explosive growth in data science, artificial intelligence and machine learning. With Silicon Valley as the AI capital of the West Coast, New York City dominates the eastern United States. According to research compiled by Bloomberg, for artificial intelligence and machine learning jobs, New York City is outpacing San Francisco with 11.6 percent of job postings on indeed.com compared to San Francisco’s 9.6 percent. New York is also home to more than 7,000 startups, hundreds of which are standouts in the field of AI and machine learning. The Bloomberg report concludes that while AI and machine learning jobs have doubled since 2015, there aren’t enough viable candidates to fill open positions. 

Julian Ruggiero

Fulbright Scholar Links COVID-19 to Zip Codes

Read more about Julian Ruggiero’s research

Fulbright Scholar Links COVID-19 to Zip Codes

Julian Ruggiero, a Fulbright scholar in the Data Analytics and Visualization program, recently conducted an analysis of the occurrence of COVID-19 in the boroughs of New York City and found that people residing in zip codes predominantly populated by low socioeconomic groups, including African Americans and Hispanics, had a higher incidence of the virus, reflecting a significant relationship between infection rates and economic status. 

He used many variables in his research, including mean income, median income, population and population density, to predict the positive number of cases per thousand people in each zip code. His analysis showed that in some zip codes in Queens, up to 45 people per thousand tested positive whereas only 5 per thousand tested positive in Manhattan. 

“The association between positive tests and zip codes is almost certainly driven by economic factors and suggests that COVID is not, in fact, a great equalizer in the New York City area,” said Julian’s advisor, Sergey Fogelson, who teaches the course Computational Math and Statistics. 

Julian used linear regression models on publicly available datasets—New York City Department of Health and Mental Hygiene, U.S. zip code databases and U.S. Census Bureau reports—and combined the data to make inferences about what demographic factors had an impact on the incidence of COVID-19 cases in New York City as of May 23. 

Julian, who hails from Cordoba, Argentina, graduated from the National Technological University of Cordoba with a systems analyst degree. In 2018, he obtained an Argentine Presidential Fellowship in Science and Technology, sponsored by the Fulbright Commission, to pursue a master’s degree in the United States. 

“I chose the Katz School because of the project-oriented courses and its great faculty,” he said. “The more hands-on experience I get, the more prepared I will be for a future data analyst job using a project portfolio, so Katz was the perfect choice.” 

Yeshiva University shield

YU Ranked 68th Among Best National Universities

Read more about YU’s rankings

YU Ranked 68th Among Best National Universities

Yeshiva University ranks 68th among Best National Universities and 33rd among Best Value Schools in the 2022 edition of U.S. News & World Report’s Best Colleges.

Read more about Yeshiva University's rankings in U.S. News & World Report.

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