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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.

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.

Cryptography

CS 5830 3.00

Introductory course in Cryptography. Topics include one-way functions, encryption, digital signatures, pseudo-random number generation, zero-knowledge and basic protocols. The emphasis will be on fundamental notions and constructions with proofs of security based on precise definitions and assumptions.

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.

Health Tech Clinical Practicum

INFO 5500 1.0

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.

Learning and Decision Making

CS 5726 3.00

This course covers the analysis of data for making decisions with applications to electronic commerce, AI and intelligent agents, business analytics, and personalized medicine. The focus will be on learning good and automated decision policies, inferring causal effects of potential decisions, and interactive and intelligent systems that learn through acting and act to learn. Topics include A/B testing, sequential decision making and bandits, decision theory, risk minimization and generalization, Markov decision processes, reinforcement learning, analysis of observational data, instrumental variable analysis, and algorithmic fairness of personalized decision policies. Students are expected to have taken a first course in machine learning and have working knowledge of calculus, probability, and linear algebra as well as a modern scripting language such as Python.

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).

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.

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.

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.

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

Two of your semesters in Connective Media are 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

Two of your semesters in Connective Media are 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.

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.

Business Fundamentals

NBAY 5500 1.00

This course is an introduction to fundamental concepts in business management – strategy, finance and financial accounting, marketing, organizational design, operations management, and negotiations – that are crucial knowledge for any entrepreneur and/or product manager. The course will help you learn the ‘language of business,’ and prepare you to take business electives in the near term and to run your own firm or product unit in the not-too-distant future, after you graduate from Cornell Tech. Business Fundamentals is not just economics, psychology, sociology, or mathematics, but draws from all of these disciplines. As a result, some of the concepts may sound familiar to some of you, but we will focus on understanding how they are applied to real-world business problems. In order to do so, we will use business cases and exercises in addition to lectures. Analyzing a case study and the resulting deductive learning will help you think in a different way, and will teach you to be comfortable with ambiguity, uncertainty, and contingencies, which are inevitable realities of business life. The general structure of the course is to introduce core concepts in each business area – strategy, finance/accounting, marketing, organizational design, operations management, and negotiations – through a lecture and a reading and then to apply those concepts in analyzing a custom-written case that draws from current business news.

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.

Product Management

CS 5093 1.00

This studio-based course helps students learn about and develop product management (PM) skills by putting those abilities immediately to use on their Startup Studio projects. In each session, students learn about a different aspect of product management, product design, or technology development, then practice applying it to their Startup Studio projects, working in the Studio with their project teams and with the help and critique of the practitioner instructors and sometimes visiting practitioners. By the end of the semester, students will have developed and practiced many of the fundamental product management skills required to develop new technology products, and their Startup Studio projects will have greatly benefited from the practice.

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 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 (required)

CS 5999 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.