M.S. in Data Analytics and Visualization | Yeshiva University

M.S. in Data Analytics and Visualization | Yeshiva University
Skip to search
Katz School
of Science and Health
School Navigation Menu
a place to
M.S. in Data Analytics and Visualization Degree
Explore NYC's Top Data Analytics Master's Program
Request More Info
Apply Now
Attend and Info Session
Master Predictive Analytics, Data Engineering, and the Art of Making Data Driven Decisions
Earn your master's in data analytics at a U.S. News Top 100 University in the heart of New York City.
Total tuition: $19K (all U.S. students) or $35K (international).
Master's in Data Analytics and Visualization
12 Courses
On-Campus in Midtown NYC
Daytime or Evening Classes
Full-Time (21 Months) or Part-Time
Organizations are collecting more data than ever — and acting on less of it. Executives face dashboards they don't trust and AI-generated summaries they can't evaluate, and they need analysts who don't just produce analysis but know how to drive decisions with it. A flawed forecast shapes a budget. A misleading visualization drives a product decision that takes a year to unwind. The Katz School's master's in data analytics prepares you to be the analyst organizations depend on, someone who finds the signal in complex data, builds analytics that hold up under scrutiny, and communicates with clarity and credibility.
You'll develop the analytical and visual intelligence that drives consequential decisions at every level of an organization. You'll interrogate complex datasets, build and validate predictive models, architect analytics pipelines, design compelling visualizations, and present findings to technical and executive audiences alike. Along the way, you'll build technical fluency across Python, SQL/NoSQL, Tableau, Power BI, and cloud and Lakehouse platforms including AWS, Snowflake, and Databricks — and the judgment to know not just how to run an analysis, but which one will matter most.
Data Analytics Program Highlights
Hands-on expertise
in predictive modeling, AI-augmented analytics, and enterprise data engineering, with optional preparation for industry certifications including Microsoft Power BI Data Analyst, AWS Data Engineer, and Databricks Data Engineering.
93% graduate employment:
alumni secure roles as data analysts, data scientists, financial analysts, business intelligence analysts, and quantitative analysts at S&P, Dow Jones, Google, IBM, Deloitte, Goldman Sachs, and Microsoft. Median starting salary: $98,000.
Flexible scheduling:
full-time or part-time, with daytime and evening classes on campus in Midtown NYC.
Top-ranked university in the heart of NYC:
Ranked #6 Data Analytics Master's Program by Tech Guide;
#1 Best Value and Top 100 University by U.S. News; #63 in the U.S. by QS World.
Total tuition:
$19K (all U.S. students) or $35K (international) after the
STEM Fellows Scholarship
, plus the opportunity to present research at the Katz School's
Symposium on Science, Technology and Health
STEM-OPT:
International students may be eligible for up to 3 years of Optional Practical Training.
Full Program Breakdown
Master's in Data Analytics and Visualization
12 Courses
On-Campus in Midtown NYC
Daytime or Evening Classes
Full-Time (21 Months) or Part-Time
Organizations are collecting more data than ever — and acting on less of it. Executives face dashboards they don't trust and AI-generated summaries they can't evaluate, and they need analysts who don't just produce analysis but know how to drive decisions with it. A flawed forecast shapes a budget. A misleading visualization drives a product decision that takes a year to unwind. The Katz School's master's in data analytics prepares you to be the analyst organizations depend on, someone who finds the signal in complex data, builds analytics that hold up under scrutiny, and communicates with clarity and credibility.
You'll develop the analytical and visual intelligence that drives consequential decisions at every level of an organization. You'll interrogate complex datasets, build and validate predictive models, architect analytics pipelines, design compelling visualizations, and present findings to technical and executive audiences alike. Along the way, you'll build technical fluency across Python, SQL/NoSQL, Tableau, Power BI, and cloud and Lakehouse platforms including AWS, Snowflake, and Databricks — and the judgment to know not just how to run an analysis, but which one will matter most.
Data Analytics Program Highlights
Hands-on expertise
in predictive modeling, AI-augmented analytics, and enterprise data engineering, with optional preparation for industry certifications including Microsoft Power BI Data Analyst, AWS Data Engineer, and Databricks Data Engineering.
93% graduate employment:
alumni secure roles as data analysts, data scientists, financial analysts, business intelligence analysts, and quantitative analysts at S&P, Dow Jones, Google, IBM, Deloitte, Goldman Sachs, and Microsoft. Median starting salary: $98,000.
Flexible scheduling:
full-time or part-time, with daytime and evening classes on campus in Midtown NYC.
Top-ranked university in the heart of NYC:
Ranked #6 Data Analytics Master's Program by Tech Guide;
#1 Best Value and Top 100 University by U.S. News; #63 in the U.S. by QS World.
Total tuition:
$19K (all U.S. students) or $35K (international) after the
STEM Fellows Scholarship
, plus the opportunity to present research at the Katz School's
Symposium on Science, Technology and Health
STEM-OPT:
International students may be eligible for up to 3 years of Optional Practical Training.
Swipe to learn more!
Master's in Data Analytics and Visualization
12 Courses
On-Campus in Midtown NYC
Daytime or Evening Classes
Full-Time (21 Months) or Part-Time
Organizations are collecting more data than ever — and acting on less of it. Executives face dashboards they don't trust and AI-generated summaries they can't evaluate, and they need analysts who don't just produce analysis but know how to drive decisions with it. A flawed forecast shapes a budget. A misleading visualization drives a product decision that takes a year to unwind. The Katz School's master's in data analytics prepares you to be the analyst organizations depend on, someone who finds the signal in complex data, builds analytics that hold up under scrutiny, and communicates with clarity and credibility.
You'll develop the analytical and visual intelligence that drives consequential decisions at every level of an organization. You'll interrogate complex datasets, build and validate predictive models, architect analytics pipelines, design compelling visualizations, and present findings to technical and executive audiences alike. Along the way, you'll build technical fluency across Python, SQL/NoSQL, Tableau, Power BI, and cloud and Lakehouse platforms including AWS, Snowflake, and Databricks — and the judgment to know not just how to run an analysis, but which one will matter most.
Data Analytics Program Highlights
Hands-on expertise
in predictive modeling, AI-augmented analytics, and enterprise data engineering, with optional preparation for industry certifications including Microsoft Power BI Data Analyst, AWS Data Engineer, and Databricks Data Engineering.
93% graduate employment:
alumni secure roles as data analysts, data scientists, financial analysts, business intelligence analysts, and quantitative analysts at S&P, Dow Jones, Google, IBM, Deloitte, Goldman Sachs, and Microsoft. Median starting salary: $98,000.
Flexible scheduling:
full-time or part-time, with daytime and evening classes on campus in Midtown NYC.
Top-ranked university in the heart of NYC:
Ranked #6 Data Analytics Master's Program by Tech Guide;
#1 Best Value and Top 100 University by U.S. News; #63 in the U.S. by QS World.
Total tuition:
$19K (all U.S. students) or $35K (international) after the
STEM Fellows Scholarship
, plus the opportunity to present research at the Katz School's
Symposium on Science, Technology and Health
STEM-OPT:
International students may be eligible for up to 3 years of Optional Practical Training.
View Curriculum
Apply Now
Program Links
Curriculum
Faculty
Research
Student Life
and
Services
Admissions
STEM Fellows Scholarship
Mission and Goals
Admissions & Financial Aid
Admissions Requirements
Bachelor’s degree –
with typical majors in computer science, data science, engineering, physics, mathematics, statistics and quantitative sciences as well as economics, finance, psychology with prerequisites.
Prerequisites –
one university course in each of the following: high-level programming, probability and statistics/statistics and calculus.
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
katzgrad@yu.edu
646-592-4753
General Inquiries
katz@yu.edu
Join our Community
Flickr
Admissions & Financial Aid
Admissions Requirements
Bachelor’s degree –
with typical majors in computer science, data science, engineering, physics, mathematics, statistics and quantitative sciences as well as economics, finance, psychology with prerequisites.
Prerequisites –
one university course in each of the following: high-level programming, probability and statistics/statistics and calculus.
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
katzgrad@yu.edu
646-592-4753
General Inquiries
katz@yu.edu
Join our Community
Flickr
Meet the Faculty
Shucheng Yu, Associate Chair
Professor Yu's research focuses on information security, applied cryptography, wireless networking and sensing, distributed trust, applied machine learning, as well as practical security and privacy in IoT systems. A Fellow of IEEE and AAIA, he received the Test of Time Paper Award of IEEE Infocom 2020 for his research on cloud data security.
Meet More Faculty
Andy Catlin, Clinical Assistant Professor
Professor Catlin is a data scientist and system developer who has led major technology initiatives for Fidelity Investments, The Wall Street Journal, the National Football League, and other leading organizations. His expertise spans AI integration, cloud systems, and financial modeling and instrument pricing using advanced quantitative methods. He founded the tech startup Hudson Technology Group, which was acquired by Incepta.
Meet More Faculty
Meet Your Classmates
Ashish Y. Beary ’26
Designing an intelligent system that answers questions based on large collections of documents. By combining a graph of connected concepts with a search tool that understands meaning rather than keywords, the system provides clear and accurate responses to complex questions.
Xinyan Cui ’26
Creating a lightweight method for detecting unusual data points, particularly useful for devices with limited computing power, such as wearables and sensors. Her approach avoids the heavy processing required by many existing systems and proves effective even in resource-constrained environments.
Brighton Mukundwi ’27
Developing a student-powered mobile marketplace that lets students earn money by promoting products to their friends using their phones. Suppliers benefit, too, gaining access to a network of trusted micro-influencers embedded in campus communities.
Program News
AI Tool Finds University Policies in Seconds
Read about the AI tool
AI Tool Finds University Policies in Seconds
Ashish Yakub Beary, a student in Katz College’s M.S. in Data Analytics and Visualization, has created Katz Assistant, which uses artificial intelligence to let people ask questions in plain English and get clear answers drawn directly from official school documents.
Read the story in the Katz College blog
Online Marketplace Helps Students Build Businesses
Read about Brighton Mukundwi
Online Marketplace Helps Students Build Businesses
Brighton Mukundwi designed a campus-focused online marketplace called Stitch Affiliate, where students sell trending products and earn a commission on each sale. Unlike traditional businesses, students don’t buy products upfront, manage inventory or handle payments, and there isn’t financial risk or startup cost. Stitch simply formalizes peer-to-peer selling that already happens on campus.
Read the story in the Katz School blog
Meteor Madness Project on Display at the Hayden
Read about the project
Meteor Madness Project on Display at the Hayden
A multidisciplinary team blending data analytics, programming and creative design led by Donald Haguma, a student in the M.S, in Data Analytics and Visualization, has won the OpenSpace Prize in the NASA SpaceApps Challenge at New York University for transforming NASA’s vast, number-heavy database of Near-Earth Objects into something people can actually see and understand.
Read the story in the Katz School blog
Student Designs Global Literacy Platform
Read about Nikki Afrin's effort
Student Designs Global Literacy Platform
Nikkat Afrin helped shape a vision for how the world might finally understand which literacy programs truly help people learn to read by creating a data framework for the World Literacy Research Center.
Read the story in the Katz School blog
AI Model Rethinks Who's Best in Rankings
Read about the research
AI Model Rethinks Who's Best in Rankings
A team of researchers led by Dr. David Li, director of the M.S. in Data Analytics and Visualization, introduced a more flexible, realistic way to rank people, teams or products, especially when there’s a lot of uncertainty involved, during their presentation, “When a Straight-A Student Isn’t the Best: Fuzzy Ranking and Optimization from a Probabilistic Perspective,” at Johns Hopkins University.
Read the story in the Katz School blog
New Data Technique Improves AI Forecasts
Read about the model
New Data Technique Improves AI Forecasts
A new study from the Katz School, led by Dr. David Li, director of the M.S. in Data Analytics and Visualization, introduces a better way to prepare data for a type of artificial intelligence called Long Short-Term Memory (LSTM) models. The researchers use a method called partition-based shuffling, which helps the model make more accurate predictions by preserving important seasonal patterns while still mixing up the data enough to avoid overfitting, which is when a model performs well on training data but poorly on new data.
Read the story in the Katz School blog
Deep Learning Model Adapts Without Retraining
Read about the research
Deep Learning Model Adapts Without Retraining
A team of Katz School researchers has solved one of the biggest headaches in modern machine learning—how to make AI models that can adapt to new information without needing to start over from scratch—by developing a deep learning system that updates itself using new information about the world without retraining, and does so in a way that’s easier to understand.
Read the story in the Katz School blog
AI Model Understands Overlooked Languages
Read more about the study
AI Model Understands Overlooked Languages
A team of researchers led by Dr. David Li, director of the M.S. in Data Analytics and Visualization e
M.S. in Data Analytics and Visualization
developed a framework that significantly improves how AI understands “low-resource languages”—languages that lack the massive training datasets available for English, Spanish or Mandarin.
Read the story in the Katz School blog
Game Theory Optimizes Reward Policies
Read about the theory's impact on sharing economy
Game Theory Optimizes Reward Policies
Cheng Li, a student in the M.S. in Data Analytics and Visualization, is co-author of a study introducing a novel game theory-driven framework that optimizes reward policies in the sharing economy, boosting user engagement and platform sustainability.
Read the story in the Katz School blog
Study Optimizes Feature Selection for ML Models
Read more about the study
Study Optimizes Feature Selection for ML Models
In a recent study, “Mutual Information Reduction Techniques and its Applications in Feature Engineering,” researchers in the Graduate Department of Computer Science and Engineering explore which mutual information "features" matter most in machine learning models.
Read the entire story in the Katz School blog
AI Tools Probe Habits of High-Value Customers
Read about the study by AI & Data Analytics researchers
AI Tools Probe Habits of High-Value Customers
Researchers in the Katz School’s Graduate Department of Computer Science and Engineering are turning to advanced tools like reinforcement learning—a type of machine learning that mimics decision-making in dynamic, uncertain environments—to probe consumer habits.
Read the story in the Katz School blog
AI Breakthrough Ensures Flawless Video Streaming
Read more about the study by DAV student Hang Yu
AI Breakthrough Ensures Flawless Video Streaming
Imagine a future where streaming videos, video calls or surveillance footage look flawless, no matter the network conditions or quality variations. That’s the goal of a recent Katz School study, which will be presented at the 2025 IEEE Conference in January.
Read the story in the Katz School blog
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.
AI Tool Finds University Policies in Seconds
Read about the AI tool
AI Tool Finds University Policies in Seconds
Ashish Yakub Beary, a student in Katz College’s M.S. in Data Analytics and Visualization, has created Katz Assistant, which uses artificial intelligence to let people ask questions in plain English and get clear answers drawn directly from official school documents.
Read the story in the Katz College blog
Online Marketplace Helps Students Build Businesses
Read about Brighton Mukundwi
Online Marketplace Helps Students Build Businesses
Brighton Mukundwi designed a campus-focused online marketplace called Stitch Affiliate, where students sell trending products and earn a commission on each sale. Unlike traditional businesses, students don’t buy products upfront, manage inventory or handle payments, and there isn’t financial risk or startup cost. Stitch simply formalizes peer-to-peer selling that already happens on campus.
Read the story in the Katz School blog
Meteor Madness Project on Display at the Hayden
Read about the project
Meteor Madness Project on Display at the Hayden
A multidisciplinary team blending data analytics, programming and creative design led by Donald Haguma, a student in the M.S, in Data Analytics and Visualization, has won the OpenSpace Prize in the NASA SpaceApps Challenge at New York University for transforming NASA’s vast, number-heavy database of Near-Earth Objects into something people can actually see and understand.
Read the story in the Katz School blog
Student Designs Global Literacy Platform
Read about Nikki Afrin's effort
Student Designs Global Literacy Platform
Nikkat Afrin helped shape a vision for how the world might finally understand which literacy programs truly help people learn to read by creating a data framework for the World Literacy Research Center.
Read the story in the Katz School blog
AI Model Rethinks Who's Best in Rankings
Read about the research
AI Model Rethinks Who's Best in Rankings
A team of researchers led by Dr. David Li, director of the M.S. in Data Analytics and Visualization, introduced a more flexible, realistic way to rank people, teams or products, especially when there’s a lot of uncertainty involved, during their presentation, “When a Straight-A Student Isn’t the Best: Fuzzy Ranking and Optimization from a Probabilistic Perspective,” at Johns Hopkins University.
Read the story in the Katz School blog
New Data Technique Improves AI Forecasts
Read about the model
New Data Technique Improves AI Forecasts
A new study from the Katz School, led by Dr. David Li, director of the M.S. in Data Analytics and Visualization, introduces a better way to prepare data for a type of artificial intelligence called Long Short-Term Memory (LSTM) models. The researchers use a method called partition-based shuffling, which helps the model make more accurate predictions by preserving important seasonal patterns while still mixing up the data enough to avoid overfitting, which is when a model performs well on training data but poorly on new data.
Read the story in the Katz School blog
Deep Learning Model Adapts Without Retraining
Read about the research
Deep Learning Model Adapts Without Retraining
A team of Katz School researchers has solved one of the biggest headaches in modern machine learning—how to make AI models that can adapt to new information without needing to start over from scratch—by developing a deep learning system that updates itself using new information about the world without retraining, and does so in a way that’s easier to understand.
Read the story in the Katz School blog
AI Model Understands Overlooked Languages
Read more about the study
AI Model Understands Overlooked Languages
A team of researchers led by Dr. David Li, director of the M.S. in Data Analytics and Visualization e
M.S. in Data Analytics and Visualization
developed a framework that significantly improves how AI understands “low-resource languages”—languages that lack the massive training datasets available for English, Spanish or Mandarin.
Read the story in the Katz School blog
Game Theory Optimizes Reward Policies
Read about the theory's impact on sharing economy
Game Theory Optimizes Reward Policies
Cheng Li, a student in the M.S. in Data Analytics and Visualization, is co-author of a study introducing a novel game theory-driven framework that optimizes reward policies in the sharing economy, boosting user engagement and platform sustainability.
Read the story in the Katz School blog
Study Optimizes Feature Selection for ML Models
Read more about the study
Study Optimizes Feature Selection for ML Models
In a recent study, “Mutual Information Reduction Techniques and its Applications in Feature Engineering,” researchers in the Graduate Department of Computer Science and Engineering explore which mutual information "features" matter most in machine learning models.
Read the entire story in the Katz School blog
AI Tools Probe Habits of High-Value Customers
Read about the study by AI & Data Analytics researchers
AI Tools Probe Habits of High-Value Customers
Researchers in the Katz School’s Graduate Department of Computer Science and Engineering are turning to advanced tools like reinforcement learning—a type of machine learning that mimics decision-making in dynamic, uncertain environments—to probe consumer habits.
Read the story in the Katz School blog
AI Breakthrough Ensures Flawless Video Streaming
Read more about the study by DAV student Hang Yu
AI Breakthrough Ensures Flawless Video Streaming
Imagine a future where streaming videos, video calls or surveillance footage look flawless, no matter the network conditions or quality variations. That’s the goal of a recent Katz School study, which will be presented at the 2025 IEEE Conference in January.
Read the story in the Katz School blog
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.
Skip past mobile menu to footer
Apply menu
School Navigation Menu
Utility navigation
My YU navigation
646-592-4753
Email us
Apply now
205 Lexington Avenue, New York, NY 10016
Health
Nursing (Accelerated B.S.)
Physician Assistant Studies (M.S.)
Speech-Language Pathology (M.S.)
Occupational Therapy (Doctorate)
Science & Tech (STEM)
Applied Statistics (M.S.)
Artificial Intelligence (M.S.)
Biotechnology Management and Entrepreneurship (M.S.)
Computer Science (M.S.)
Computer Science – Agile (M.S.)
Computer Science (Ph.D.)
Cybersecurity (M.S.)
Cybersecurity (M.S.) - Online
Data Analytics and Visualization (M.S.)
Digital Marketing & Media (M.S.)
Digital Marketing (M.S.) – Online
Mathematics (M.A.)
Mathematics (Ph.D.)
Physics (M.A.)