M.S. in Data Analytics and Visualization Making the World Smarter, Safer and Healthier Request More Info Attend and Info Session Contact Us Artificial Intelligence Biotechnology Computer Science Cybersecurity Data Analytics and Visualization Digital Marketing and Media Mathematics Occupational Therapy Physician Assistant Physics Speech-Language Pathology Eligible for STEM-OPT Affordable Fixed-Rate Tuition $30K After STEM Fellows Scholarship QS Rankings #63 University in the U.S. Alumni Career Outcomes 95% employed within 6 months 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. Ó£»¨¶¯Âþ’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. Ó£»¨¶¯Âþ’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. Ó£»¨¶¯Âþ’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. Ó£»¨¶¯Âþ'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! Program Links Curriculum Faculty Research Student Life Mission and Goals Learn More Admissions & Financial Aid Graduate Admissions katzgrad@yu.edu 646-592-4753 General Inquiries katz@yu.edu 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?  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 program. You do not need to submit any additional information. Learn More Graduate Admissions katzgrad@yu.edu 646-592-4753 General Inquiries katz@yu.edu 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?  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 program. You do not need to submit any additional information. Program News Innovation on Display in Computer Science Forum Read about student research on AI, Cyber & Data Analytics Innovation on Display in Computer Science Forum The Department of Graduate Computer Science and Engineering recently hosted a dynamic presentation of graduate student research, showcasing innovative capstone projects, independent studies and other research initiatives in Artificial Intelligence, Computer Science, Cybersecurity and Data Analytics and Visualization.Read the story in the Katz School blog. Using Probability to Design Engaging Video Games Read more about the study Using Probability to Design Engaging Video Games Designing a great video game is a balancing act, especially in strategy games where the thrill often comes from tackling the unexpected. Whether it’s an enemy ambush or a rare loot drop, the element of surprise keeps players on their toes. But too much randomness can feel unfair, while too little can make a game predictable and boring. Enter the world of probability-driven game design, a method that introduces structured uncertainty into gameplay. A new framework introduced by Katz School researchers uses mathematical tools to strike this balance, creating levels that are not only engaging but varied and challenging.Read the story in the Katz School blog. Data-Driven Approach to Olympic Rankings Read more about Dr. David Li's novel proposal Data-Driven Approach to Olympic Rankings Dr. David Li, program director of the M.S. in Data Analytics and Visualization in the Graduate Department of Computer Science and Engineering, have proposed a novel data-driven framework grounded in probability theory and statistical analysis to change how Olympic performance is measured. Read the story in the Katz School blog. Subway Reform Proposal Finalist in Competition Read more about Team Thunders' proposal Subway Reform Proposal Finalist in Competition A Katz School student team's proposal to reform the New York City subway system is a finalist in a business case competition sponsored by the Zicklin School of Business at Baruch College.Read the story in the Katz School blog. NIH Grant Funds Research on Dietary Patterns Read more about Honggang Wang's research NIH Grant Funds Research on Dietary Patterns Dr. Honggang Wang, chair of the Department of Computer Science and Engineering, received a $600,000 grant to create an artificial intelligence platform that would recognize patterns in longitudinal dietary data.Read the story in the Katz School blog. 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 speech.Read the entire story in the Katz blog. 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.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. Innovation on Display in Computer Science Forum Read about student research on AI, Cyber & Data Analytics Innovation on Display in Computer Science Forum The Department of Graduate Computer Science and Engineering recently hosted a dynamic presentation of graduate student research, showcasing innovative capstone projects, independent studies and other research initiatives in Artificial Intelligence, Computer Science, Cybersecurity and Data Analytics and Visualization.Read the story in the Katz School blog. Using Probability to Design Engaging Video Games Read more about the study Using Probability to Design Engaging Video Games Designing a great video game is a balancing act, especially in strategy games where the thrill often comes from tackling the unexpected. Whether it’s an enemy ambush or a rare loot drop, the element of surprise keeps players on their toes. But too much randomness can feel unfair, while too little can make a game predictable and boring. Enter the world of probability-driven game design, a method that introduces structured uncertainty into gameplay. A new framework introduced by Katz School researchers uses mathematical tools to strike this balance, creating levels that are not only engaging but varied and challenging.Read the story in the Katz School blog. Data-Driven Approach to Olympic Rankings Read more about Dr. David Li's novel proposal Data-Driven Approach to Olympic Rankings Dr. David Li, program director of the M.S. in Data Analytics and Visualization in the Graduate Department of Computer Science and Engineering, have proposed a novel data-driven framework grounded in probability theory and statistical analysis to change how Olympic performance is measured. Read the story in the Katz School blog. Subway Reform Proposal Finalist in Competition Read more about Team Thunders' proposal Subway Reform Proposal Finalist in Competition A Katz School student team's proposal to reform the New York City subway system is a finalist in a business case competition sponsored by the Zicklin School of Business at Baruch College.Read the story in the Katz School blog. NIH Grant Funds Research on Dietary Patterns Read more about Honggang Wang's research NIH Grant Funds Research on Dietary Patterns Dr. Honggang Wang, chair of the Department of Computer Science and Engineering, received a $600,000 grant to create an artificial intelligence platform that would recognize patterns in longitudinal dietary data.Read the story in the Katz School blog. 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 speech.Read the entire story in the Katz blog. 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.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.
