Visit
The Technion-Cornell Dual Master’s Degrees in Health Tech mixes advanced technical coursework in computer science and engineering with hands-on project work in partnership with leading entities in the health sector. You’ll emerge from the program with the full skill set and unique insights that define leaders who innovate on the cutting edge of health technology.
A full third of the curriculum is comprised of cross-disciplinary Studio courses, where you’ll work with students from every Cornell Tech master’s program to develop a new product idea for a real organization or create your own startup. Work side-by-side with MBA, law, and engineering students to build and beta test your innovation, then present it for critique and potential funding to a panel of venture capitalists.

Apply Now

Technical Courses

Algorithms and Data Structures for Applications

CS 5112 3.00

An introduction to some fundamental algorithms and data structures used in current applications. Examples include cryptocurrencies (hashing, Merkle trees, proofs of work), AI (nearest neighbor methods, k-d trees, autoencoders), and VR/AR (gradient descent, least squares, line-drawing algorithms). Six lectures will be replaced by applied clinics taught in the evening. Programming assignments in Python or Java.

Applied Machine Learning

CS 5785/ORIE 5750/ECE 5414 3.00

Learn and apply key concepts of modeling, analysis and validation from Machine Learning, Data Mining and Signal Processing to analyze and extract meaning from data. Implement algorithms and perform experiments on images, text, audio and mobile sensor measurements. Gain working knowledge of supervised and unsupervised techniques including classification, regression, clustering, feature selection, association rule mining, and dimensionality reduction.

Behavioral Economics for Tech

INFO 5350 3.00

Behavioral economics studies the effect of psychological, social, cognitive and emotional factors on humans decisions and behavior. This course will help students learn key concepts from behavioral economics and apply them in their daily lives, in the design of products, and in the research of human behavior. This course will explore the opportunities and challenges faced by researchers and practitioners when exploring the interplay between behavioral economics and technology.

Blockchains, Cryptocurrencies, and Smart Contracts

CS 5433 3.00

Viewed variously as a niche currency for online criminals and a technological threat to the financial industry, Bitcoin has fueled mythmaking, financial speculation, and real technological innovation. We will study both Bitcoin and the technological landscape it has inspired and catalyzed. Topics will include: the mechanics of consensus algorithms, such as Proof of Work and Byzantine Consensus, and their role in blockchains and cryptocurrencies; cryptographic tools employed in cryptocurrencies, including digital signatures algorithm and zero-knowledge proofs; the evolution and mechanics of Bitcoin and its ecosystem; smart contracts; and special topics, such as trusted hardware in blockchain-based systems, smart contracts and real-world contract law, and cryptocurrencies and crime. Grading will be based on homework assignments and a final project.

Data Science in the Wild

CS 5304/INFO 5304 3.00

Massive amounts of data are collected by many companies and organizations and the task of a data scientist is to extract actionable knowledge from the data – for scientific needs, to improve public health, to promote businesses, for social studies and for various other purposes. This course will focus on the practical aspects of the field and will attempt to provide a comprehensive set of tools for extracting knowledge from data.

HCI & Design

CS 5682/INFO 6410 3.00

Human-Computer Interaction (HCI) and design theory and techniques. Methods for designing, prototyping, and evaluating user interfaces to computing applications. Basics of visual design, graphic design, and interaction design. Understanding human capabilities, interface technology, interface design methods, prototyping tools, and interface evaluation tools and techniques.

Introduction to Computer Vision

CS 5670 3.00

An in-depth introduction to computer vision. The goal of computer vision is to compute properties of our world-the 3D shape of an environment, the motion of objects, the names of people or things-through analysis of digital images or videos. The course covers a range of topics, including 3D reconstruction, image segmentaion, object recognition, and vision algorithms fro the Internet, as well as key algorithmic, optimization, and machine learning techniques, such as graph cuts, non-linear least squares, and deep learning. This course emphasizes hands-on experience with computer vision, and several large programming projects.

Natural Language Processing

CS 5740 3.00

This course constitutes an introduction to natural language processing (NLP), the goal of which is to enable computers to use human languages as input, output, or both. NLP is at the heart of many of today’s most exciting technological achievements, including machine translation, automatic conversational assistants and Internet search. Possible topics include summarization, machine translation, sentiment analysis and information extraction as well as methods for handling the underlying phenomena (e.g., syntactic analysis, word sense disambiguation, and discourse analysis).

Optimization Methods

CS 5727 3.00

This course covers algorithmic and computational tools for solving optimization problems with the goal of providing decision-support for business intelligence. We will cover the fundamentals of linear, integer and nonlinear optimization. We will emphasize optimization as a large-scale computational tool, and show how to link programming languages with optimization software to develop industrial-strength decision-support systems. We will demonstrate how to incorporate uncertainty into optimization problems. Throughout the course, we will cover a variety of modern applications, including pricing and marketing for e-commerce, ad auctions on the web, and on-line ride-sharing.

Parallel and Distributed Computing

CS 5460 3.00

This course is an introduction to parallel and distributed computing systems. Topics include models, organization, algorithms and libraries for parallel and distributed computing systems.

Security & Privacy Concepts in the Wild

CS 5435 3.00

This course will give students a technical and social understanding of how and why security and privacy matter, help them think adversarially and impart how (and how not) to design systems and products. Less attention will be paid to specific skills such as hacking, writing secure code and security administration. Topics will include user authentication, cryptography, malware, behavioral economics in security, human factors in security, privacy and anonymity, side channels, decoys and deception and adversarial modeling. We will explore these concepts by studying real-world systems and attacks, including Bitcoin, Stuxnet, retailer breaches, implantable medical devices, and health apps — and we will consider future issues that may arise in personal genomics, virtual worlds, and autonomous vehicles.

Specialization Project (Fall)

INFO 7900 6.00

Two of your semesters will be devoted to an in-depth specialization project. During this time, company advisors will work with you or your team once a week. This is the deepest form of engagement you and your participating external companies will have throughout your time at Cornell Tech. Your ultimate goal here is to create a high-tech paper presentation and demo to pitch to company stakeholders at your mentoring company.

Specialization Project (Spring)

INFO 7900 3.00

Two of your semesters will be devoted to an in-depth specialization project. During this time, company advisors will work with you or your team once a week. This is the deepest form of engagement you and your participating external companies will have throughout your time at Cornell Tech. Your ultimate goal here is to create a high-tech paper presentation and demo to pitch to company stakeholders at your mentoring company.

Virtual and Augmented Reality

CS 5650 3.00

Augmented and virtual reality technologies and applications are becoming increasingly popular. This course presents an introduction to this exciting area, with an emphasis on designing and developing virtual and augmented reality applications. The course will cover the history of the area, hardware technologies involved, interaction techniques, design guidelines, evaluation methods, and specific application areas. Students will be tasked with designing, developing, and evaluating their own augmented or virtual reality application as a course project.

Studio & Interdisciplinary Courses

Becoming a Leader in the Digital World

TECH 5000 1.00

In each class, students focus on building skills needed for effective entrepreneurial leadership in a digital world and build on understanding how to maximize the positive economic, social, and cultural impact of digital businesses and products.

Design Thinking

NBAY 5180 1.00

This hands-on course will prepare you to be future innovators by teaching you Design Thinking, the human-centered design methodology pioneered by IDEO and Stanford d.school founder, David Kelley. You will work on a team with peers from other disciplines so as to experience the importance of “radical collaboration.” All teams will work on the same challenge, and you will be asked to design an innovative solution to this complex problem.

Health Tech Clinical Practicum

INFO 5500 3.00

This course is designed to give students hands on experience applying health tech tools and methods to real world clinical challenges. Students will work (individually or in pairs) with a clinical advisor to assess a particular clinical need for application of digital technology and based on that assessment students will develop a feasibility prototype. Through the implementation process, students will have the opportunity to shadow their clinical advisor in a clinical or research setting.

Health Tech, Data, and Systems

INFO 5555 2.00

This course is a survey of the computing systems, technologies, and data sets used throughout the healthcare system–spanning provider, patient, payer, and pharma. Students will gain an understanding of the functional requirements and constraints placed on these digital systems and to provide a basis for future innovation.

Healthcare Organizations & Delivery (Weill)

HPEC 5002.03 3.00

The goal of this course is to help students understand the complexity and nuances of healthcare delivery. The course will include seminar-style lectures and discussions, along with opportunities to directly observe healthcare in such settings as a pediatric outpatient clinic, an adult emergency department and a pathology lab. Lectures and discussions will not summarize healthcare; rather, they will analyze healthcare — through themes such as people, time, money, communication, decision making and others. Students will come away from the course with a deeper appreciation of why it is difficult to change healthcare. They will then be able to anticipate the intended and unintended consequences of interventions and policies that they and others might implement.

Incentives in US Healthcare System

HPEC.5007.04 3.00

Economic incentives embedded in the healthcare system shape the behaviors of key stakeholders. This course provides an overview and analysis of incentives in the current US health care system for consumers/patients, payers, insurers, and health care providers and implications for health care delivery and outcomes. We then use the lens of incentives to examine the rationale and consequences – both intended and unintended – of major reform models designed to align incentives with improving the quality and experience of care and to contain cost growth.

Introduction to Biostatistics

HBDS 5001 4.00

An introduction to the fundamentals of biostatistics with primary emphasis on understanding of statistical concepts behind data analytic principles. This course will also teach R, a freely available software, to explore, visualize and perform statistical analysis with data. Lectures and discussions will focus on the following: exploratory data analysis; basic concepts of statistics; construction of hypothesis tests and confidence intervals; the development of statistical methods for analyzing data; and development of mathematical models used to relate a response variable to explanatory or descriptive variables.

Introduction to Operations Research in Health

HPEC 5009 3.00

Every component of health care delivery, from patient scheduling and bed management to information utilization and logistics, is amenable to improvement using approaches based on operations research (OR), the branch of engineering that calls itself “the science of better.” This course will introduce students to key concepts and methods in OR, including queuing theory, simulation, and optimization. Applications using common spreadsheet software and/or free online modeling applications will be emphasized. Student teams will then use these tools to design an efficient, high-performance outpatient clinic.

Law for Non-Lawyers (for non-LLM students)

LAW 6673 1.00

This class introduces the principal legal issues involved in starting, managing and operating a technology-oriented business by entrepreneurs. It is intended to provide non-law students with an understanding of many of the laws and regulations to which developing businesses in the United States tech sector are typically subject—from the time an entrepreneur conceives and begins to build a business, implements a business plan, and obtains financing, to when she begins operations in anticipation of managing a mature company and considering possible exit strategies. The instructor, a former corporate partner in a large New York City law firm, will adopt the role of a general counsel to a start-up company advising his client/students about how laws and regulations affect their businesses at various stages of development, as well as about typical key contractual terms and negotiating strategies. Practicing lawyers will serve as guest lecturers. The course is designed to impart an understanding not only about substantive areas of the law that intersect with tech businesses but also about the role that lawyers should—and should not—play in burgeoning business enterprises. Students will gain insights into how lawyers approach business problems and the benefits and limitations of such a perspective.

Medical Literacy

INFO 5400 2.00

The course will cover common medical terminology, an overview of anatomy and pathology, and an in-depth treatment of a few common diseases and some of the most important classes of medications.

Participatory Health Informatics

HINF 5013.04 1.50

Participatory Medicine is a model of cooperative health care that seeks to achieve active involvement by patients, professionals, caregivers, and others across the continuum of care on all issues related to an individual’s health. The availability of social media, smartphones, self-monitoring devices and direct-to-consumer e-services far outstrips evidence about the efficiency, effectiveness and efficacy of using them for health improvement. The aim of this module is to examine how health informatics research is contributing to generate richer and more robust evidence about healthcare aims, health data processes, and health outcomes associated with Participatory Health Technologies.

Product Studio

TECH 5900 3.00

Product Studio is the foundational studio course for product development at Cornell Tech. Students form semester-long teams and select a “How Might We” question posed by a company. During the semester students learn the basics of product development so they can apply the knowledge and skills from their degree program: identifying impactful problems to solve, product ideation and design, development process, and constructing a meaningful product narrative and complete product loop. Students present their working product, narrative, and thought process four times during the semester, after completing each of three 24-hour “studio sprints” where they will focus on developing their product and a final product presentation at the end of the semester.

Psychological and Social Aspects of Technology

INFO 5310 3.00

This course explores the behavioral foundations of communication technology and the information sciences, and the ways in which theories and methods from the behavioral sciences play a role in understanding people’s use of, access to and interactions with information and communication technologies. Multiple levels of analysis—individual, small group, and larger collectives—will be included, along with multiple disciplinary perspectives. Course topics will include: human perception and cognition; cognitive perspectives on design, attention and memory; psychological theories of language use and self-presentation in computer-mediated communication; social psychological perspectives on coordination and group work, social science theories of social ties and relationships; user motivation, persuasion, and more. The course will also provide a high-level view of methodologies used in the behavioral and social sciences.

Startup & Product Ideas

TECH 5100 1.00

This studio-based course helps students develop their ability to imagine, recognize, develop and improve startup ideas. In each class, students learn a different approach to product ideation or product critique, then practice that approach, working in many different teams — often with the advice of visiting entrepreneurs, VCs, domain experts, and other practitioners. Students invent and explore hundreds of startup ideas, and help each other evaluate and improve those ideas. By the end of the course, students self-organize into co-founding teams around specific startup ideas that they will pursue in Startup Studio the following semester.

Startup Studio

TECH 5910 3.00

In Startup Studio you and a team of your classmates will develop your own new product or startup idea. You’ll experience the entire process, from developing your idea, to prototyping and testing, to pitching to investors. You can even apply for a Startup Award that will provide funding and other support to help you turn your Startup Studio project to a real business.