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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 Fixed-Rate Tuition

$30K
After STEM Fellows Scholarship
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QS Rankings

#63
University in the U.S.
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Alumni Career Outcomes

95%
employed within 6 months
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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.

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!

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

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! 

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.

Learn More

Graduate Admissions

General Inquiries

Join our Community

Admissions & Financial Aid

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.

Program News

""

Model Refines Images for Climate Analysis

Read more about the model

Model Refines Images for Climate Analysis

An interdisciplinary team of Katz School graduate students has built a machine learning model that utilizes satellite images to refine the spatial resolution of climate change forecasts.

Read the story in the Katz blog.

""

Experts Creating Anti-Semitic Speech Index

Read more about the index

Experts Creating Anti-Semitic Speech Index

Andrew Catlin, director of the Katz School’s M.S. in Data Analytics and Visualization program, and faculty member Brandon Chiazza have received a $7,500 grant from the Provost Faculty Research Fund to create a definitive repository of anti-Semitic hate speech.

“We want to create an index like the Dow Jones Industrial Average for anti-Semitic hate speech,” said Catlin, “that will raise the research profile of YU, support our U.S. News ranking, attract exceptional faculty and students, and help our students get great jobs.”

Read the entire story in the Katz blog.

Jesus Olivera

A Chance Encounter Leads to IBM Job

Read more about Jesus Olivera's career journey

A Chance Encounter Leads to IBM Job

The very act of migrating is entrepreneurial, a self-selected risk taken by an individual to better one’s circumstances. It’s a mindset that served Jesus Olivera well at the Katz School of Science and Health. Jesus, who was recently awarded a master’s degree in Data Analytics and Visualization, defied his family’s wishes to pursue a career in Puerto Rico by migrating to New York City in 2012 at the age of 22.

Jesus said plunging into a new culture gave him “strength and focus” because he not only needed to learn English, he had to adjust to the frenetic pace of the city and corporate life. “Everything you do in life requires a level of effort and hard work, so I didn’t think my experience was different from anyone else’s,” he said. 

Read Jesus' entire story on the Katz blog.

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. 

""

Model Refines Images for Climate Analysis

Read more about the model

Model Refines Images for Climate Analysis

An interdisciplinary team of Katz School graduate students has built a machine learning model that utilizes satellite images to refine the spatial resolution of climate change forecasts.

Read the story in the Katz blog.

""

Experts Creating Anti-Semitic Speech Index

Read more about the index

Experts Creating Anti-Semitic Speech Index

Andrew Catlin, director of the Katz School’s M.S. in Data Analytics and Visualization program, and faculty member Brandon Chiazza have received a $7,500 grant from the Provost Faculty Research Fund to create a definitive repository of anti-Semitic hate speech.

“We want to create an index like the Dow Jones Industrial Average for anti-Semitic hate speech,” said Catlin, “that will raise the research profile of YU, support our U.S. News ranking, attract exceptional faculty and students, and help our students get great jobs.”

Read the entire story in the Katz blog.

Jesus Olivera

A Chance Encounter Leads to IBM Job

Read more about Jesus Olivera's career journey

A Chance Encounter Leads to IBM Job

The very act of migrating is entrepreneurial, a self-selected risk taken by an individual to better one’s circumstances. It’s a mindset that served Jesus Olivera well at the Katz School of Science and Health. Jesus, who was recently awarded a master’s degree in Data Analytics and Visualization, defied his family’s wishes to pursue a career in Puerto Rico by migrating to New York City in 2012 at the age of 22.

Jesus said plunging into a new culture gave him “strength and focus” because he not only needed to learn English, he had to adjust to the frenetic pace of the city and corporate life. “Everything you do in life requires a level of effort and hard work, so I didn’t think my experience was different from anyone else’s,” he said. 

Read Jesus' entire story on the Katz blog.

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. 

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