Master of Engineering in Data Science & Decision Analytics
There are complex algorithmic frameworks behind most online platforms deciding which vehicle to assign to a passenger in a ride sharing system depending on the geographical allocation of the vehicle supply, what price to charge for a product depending on the inventories or which fulfillment center to use to store an incoming shipment. Cornell Tech’s Master’s in Decision Science and Decision Analytics (DSDA) will provide you the tools to understand the data-to-algorithms-to-decisions pipeline by drawing from tools in machine learning, optimization and statistics.
Data Science and Decision Analytics at Cornell Tech
About the Master of Engineering in Data Science and Decision Analytics Degree
Cornell Tech’s DSDA Masters allows you to develop a theoretical and practical understanding of the data-to-models-to-decisions pipeline in entrepreneurial environments by drawing from tools in machine learning, optimization and statistics. After going through the program, you will be able to develop and deploy algorithms to drive the decisions of online business such as e-retailers, ride-sharing systems and ad exchanges. Working with the faculty that are world leaders in optimization, statistics, causal analysis and machine learning, as well as being immersed in the tech start-up community of New York City, you will get comfortable with analyzing data, building decision models that turn data into decisions and deploying these models at large scale. In parallel with your academic technical courses, you will also complete Studio courses – an essential component of every Cornell Tech program that allow you to solve real business problems faced by tech companies and launch your own startups. During the course of Studio courses, you will work in cross-disciplinary teams with students in computers science, electrical engineering, business and law programs to study all facets of the problem you are focusing on.
Who Should Apply?
Cornell Tech’s DSDA Masters is ideal for students with a passion for data analysis that create insights to drive business decisions. The technical requirements are that you have completed one course on linear algebra, one course on intermediate-level probability and statistics, one course on calculus, and one course on programming before applying. Cornell Tech offers another Masters degree in Operations Research and Information Engineering (ORIE). As is the case with all Masters programs at Cornell Tech, both DSDA and ORIE programs have an entrepreneurial focus, but DSDA emphasizes the intersection of optimization, machine learning and probabilistic analysis with computing, whereas ORIE emphasizes the intersection of optimization, machine learning and probabilistic analysis with business.
Technical Topics Covered
- Optimization for AI
- Statistics for Data Science
- Probabilistic Analysis
- Machine Learning
- Modeling Under Uncertainty
Studio Topics Covered
- Entrepreneurship
- Intellectual Property
- Law for Non-Lawyers
- Leadership for Digital Transformation
- Product Management
- Startup Funding & Pitching
Certificate Programs in Data Science & Decision Analytics
DSDA M.Eng. AI Modeling and Computation Certificate
The AI Modeling and Computation certificate allows DSDA M.Eng. students to develop expertise in modern artificial intelligence technologies from the perspectives of modeling and computation. The certificate covers the full spectrum of AI, ranging from theory and applications of machine learning, large language models, reinforcement learning, and mathematical modeling, as well as the ethics of automated decision-making.
Certificates are designed to demonstrate specialized expertise in your program and are provided by Cornell Tech following graduation.
Please note: Certificates are not part of the official university degree and will not appear on your diploma or transcript. New electives may be added to the course list. While elective courses are offered based on instructor availability, and the availability of spots in some courses may be more limited than in others, interested students will still be able to complete the certificate.
Requirements:
Choose at least three of the following, including at least one course marked with *. Other courses need permission from the Program Director:
- CS 5434 Trustworthy AI (*)
- CS 5785 Applied Machine Learning (*)
- CS 5781 Machine Learning Engineering (*)
- CS 5787 Deep Learning (*)
- CS 5788 Introduction to Generative Models (*)
- ORIE 5320 Optimization for AI (*)
- ORIE 5380 Optimization Methods
- ORIE 5751 Applied Causal Inference Using Machine Learning (*)
- ECE 5242 Intelligent Autonomous Systems
- ECE 5260 Graph-based Data Science and AI Models for Networked Systems
- ECE 5545 Machine Learning Hardware and Systems (*)
In addition, choose one of the following courses:
Ethics, Law, Policy:
- CS 5382 Fairness in Machine Learning
- LAW 6146 AI Law and Policy
Applied AI:
- CS 5670 Computer Vision
- CS 5744 Language Modeling
- ORIE 5355 Applied Data Science: Decision-Making Beyond Prediction
- INFO 5600 AI for Healthcare
- INFO 5375 Health Tech-Oriented Machine Learning
