The Technion-Cornell Dual Degree in Health Tech curriculum mixes coursework and project work to provide you with a strong technical skills and the industry-specific knowledge you need to apply those skills in the most innovative healthcare setting.

In an educational innovation unique to Cornell Tech, you'll also participate in an immersive Studio experience, in which you'll develop your team-building and leadership skills while developing a new product idea in response to the strategic needs of a real organization and create your own startup. Courses include Building Startup Systems, User-Centered Design, Prototyping and Evaluation, Health Technologies, and the Healthcare System.

What Your Schedule Might Look Like

In your first fall semester, you’ll take required and elective classroom courses in the mornings. You’ll spend afternoons working on team-based projects in Product Studio and Startup Ideas and learn firsthand from industry leaders in Conversations in the Studio.

In your first spring semester, you’ll continue taking required and elective classroom courses and begin work on your two-semester, deeply technical Specialization Project.

In your second fall semester, you’ll continue taking required and elective classroom courses and finish work on your Specialization Project.

In your final spring semester, you’ll spend your mornings on required and elective classroom courses. In the afternoons, you’ll pursue team-based projects in Startup Studio and Product Management and continue to attend Conversations in the Studio.

Required Curriculum 14.00 Credits

Electives 1.00 Credits

Semester Total 15 Credits

Required Curriculum 9.00 Credits

Electives 6.00 Credits

Semester Total 15 Credits

Required Curriculum 10.00 Credits

Electives 6.00 Credits

Semester Total 16 Credits

Required Curriculum 11.00 Credits

Electives 3.00 Credits

Semester Total 14 Credits

Program Curriculum

Your core program curriculum.
  • Startup Systems Design and Engineering 3.0

    This course aims to bridge the gap between academic studies of computer science and practical software engineering. The course provides a fast-paced introduction to key tools, techniques and best practices to facilitate the building of prototypes and the deployment of user-facing working systems. It introduces technologies for building Web and mobile applications; systems for effective storage and processing of data; and tools to write, test, build, deploy and monitor code. The course will also emphasize challenges and trade-offs related to security and performance. The class will have "labs" and homeworks where students will implement and deploy working systems.

  • Medical Literacy 2.0

    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.

  • Healthcare Organizations & Delivery (Weill) 3.0

    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.

  • Applied Machine Learning 3.0

    This course will help students 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. Students will implement algorithms and perform experiments on images, text, audio and mobile sensor measurements. They will also gain a working knowledge of supervised and unsupervised techniques including classification, regression, clustering, feature selection, association rule mining and dimensionality reduction.

  • HCI & Design 3.0

    This course teaches Human-Computer Interaction (HCI) and design theory and techniques. Methods for designing, prototyping, deploying and evaluating user interfaces to computing applications will be imparted, along with the basics of visual design, graphic design and interaction design. The class will also cover understanding human capabilities, interface technology, interface design methods, prototyping tools and interface evaluation tools and techniques.

  • Health Tech, Data, and Systems 2.0

    This course explores the digital systems used in the delivery and management of healthcare, from mobile health and patient-facing technologies to Electronic Health Record (EHR) systems, Clinical Decision support systems, and Insurance claims data analysis. This course is appropriate for advanced students who have no or limited knowledge in health or health IT.

  • Specialization Project (Spring) 4.0

    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.

  • Psychological and Social Aspects of Connective Media 3.0

    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: introduction to behavioral research methods; principles of human perception and cognition; cognitive perspectives on design, attention and memory; emotion/affect; psychological theories of language use and self-presentation in computer-mediated communication; social psychological perspectives on coordination and group work (digital interaction), organizational science theories of social ties and relationships; user motivation, persuasion. Methodological topics will include the design of lab and field experiments, survey studies, and field observations, common statistical techniques used in the behavioral sciences and how to interpret them, and strategies for reporting results from behavioral science studies.

  • Specialization Project (Fall) 5.0

    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.

  • Global Health 3.0

    The course provides a survey of the biological, societal, economic, political and technological aspects of health and health care in a global context. Global health research and practice places a priority on improving health and achieving equity in health worldwide. Challenges include both infectious and chronic diseases and span from child and maternal care to aging populations.

  • Health Data Mining 3.0

    This course introduces students to a variety of analytic methods for health data using computational tools. The course covers topics in data mining, machine learning, classification, clustering and prediction. Students engage in hands-on exercises using a popular collection of data mining algorithms.

Electives

Choose electives until semester total is reached.
  • Business for Tech 1.0

    Business for Technologists (BT) is a comprehensive introduction to the key aspects of new product development and product management that will provide helpful perspective for technologists working in cross functional teams with business leaders in the marketing, product, finance, legal and business development disciplines. BT focuses both on concepts and frameworks utilizing “solutions architecture” while working on cross functional teams in both agile and waterfall development environments. Students will utilize their team projects as the basis to complete customer development, market segmentation, product placement, construct business models and define “proof points” and milestones that lead to successful outcomes for teams comprised of both technologists and subject matter experts from a broad array of business disciplines. The course will also discuss the development of an “intellectual property suite” and its importance in the new product development process and relevance to the competitive landscape. While the course focuses on scalable businesses, the principles apply to businesses of all sizes. Topics covered will include definition of the market, sales and distribution, competition, business development, project management and milestone based performance tracking. The course culminates in a capstone project of writing a launch plan for a new technology product’s market test.

  • Health Informatics and Quality 3.0

    This course will teach the role of health information technology in improving healthcare quality, safety, and medical decisions, as well as the potential for unintended consequences.

  • Computer Networking 3.0

    This course focuses on architectural principles of Internet architecture; network protocol mechanisms (MAC, Transport, Routing, SDN); design principles (modularity, scalability, performance, end-to-end); how the Internet works and is used today; mobile technologies (communication, sensing, location, cloud interaction, wearables); and elements of mobile systems design and implementation. It is appropriate for graduate students who have no or limited networking knowledge. Note that there is project work involving both software development and some data analysis.

  • Physical Computing 3.0

    This course provides a hands-on introduction to the resources for designing and fabricating smart systems using hardware components including sensors and sensor networks, analog instrumentation, embedded digital processing (microcontroller programming such as the Arduino system), graphics and I/O chips, flash memory, wired and wireless communications, PCB layout and fabrication, 3-D printing, and laser cutting. The key characteristics of the components and their interfaces will be presented. Using these tools, small multidisciplinary groups will conduct a hardware project of their choice.

  • Natural Language Processing 3.0

    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).

  • Cryptography 3.0

    In this course, students will learn how modern cryptographic services are built, understand how to avoid common pitfalls that lead to attacks, and gain experience implementing cryptographic libraries.

Studio Interdisciplinary Curriculum

Practicums with other Cornell Tech Masters students.
  • Product Studio 3.0

    In Product Studio you and a team of your classmates will respond to a "Company Challenge" by developing, testing, and presenting a new product or business idea. Previous challenges have been posed by organizations as diverse as the Robin Hood Foundation, Uber, Weight Watchers and Bloomberg.

  • Startup Ideas 1.0

    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.

  • Conversations in the Studio 1.0

    This course features a weekly guest practitioner for a provocative, closed-door discussion with students. The guest practitioners are active entrepreneurs, intrapreneurs, social entrepreneurs, engineers, designers, artists, VCs, lawyers, writers, ethicists, and other diverse leaders who are affecting society through their entrepreneurial efforts. Conversations take place in the Cornell Tech Studio and are moderated each week by a randomly assigned group of students who come prepared with questions and discussion topics. This is not a lecture: it's a weekly wake-up call.

  • Product Management 1.0

    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.

  • Startup Studio 3.0

    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.

  • Leadership for Studio 1.0

    This course deals broadly with leadership – of teams, projects, products, businesses, and communities. The course will pay special attention to leadership in the context of digital transformation and its social and economic impacts. Students will learn effective team-building and teamwork strategies, communication and presentation skills, and best practices for building a collaborative, creative and open culture in the workplace. As part of a personal development process, toolkits and exercises will be provided to promote critical thinking and moral reasoning skills. Sessions on social and multicultural awareness and sensitivity will equip students to be global leaders in a digitally-transformed world. In short, this course will cover all aspects of how students can become leaders in a digital economy.

Open Studio

Show off your semester of studio work to industry insiders.

LEARN MORE

Program Courses

Health Tech, Data, and Systems 2.0 INFO 5555

This course explores the digital systems used in the delivery and management of healthcare, from mobile health and patient-facing technologies to Electronic Health Record (EHR) systems, Clinical Decision support systems, and Insurance claims data analysis. This course is appropriate for advanced students who have no or limited knowledge in health or health IT.

Experimental Methods for New Technologies 3.0 INFO 5320

This course addresses both computational and non-computational issues in the extraction of meaningful conclusions from health data. Topics include the design of clinical trials; comparative effectiveness research; statistical methods for evaluating evidence; observational methods and the protection of human subjects.

Healthcare Organizations & Delivery (Weill) 3.0 HPEC 5002.03

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.

HCI & Design 3.0 CS 5682 / INFO 6410

This course teaches Human-Computer Interaction (HCI) and design theory and techniques. Methods for designing, prototyping, deploying and evaluating user interfaces to computing applications will be imparted, along with the basics of visual design, graphic design and interaction design. The class will also cover understanding human capabilities, interface technology, interface design methods, prototyping tools and interface evaluation tools and techniques.

Startup Studio 3.0 CS 5999

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.

Applied Machine Learning 3.0 CS 5785

This course will help students 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. Students will implement algorithms and perform experiments on images, text, audio and mobile sensor measurements. They will also gain a working knowledge of supervised and unsupervised techniques including classification, regression, clustering, feature selection, association rule mining and dimensionality reduction.

Product Studio 3.0 CS 5999

In Product Studio you and a team of your classmates will respond to a "Company Challenge" by developing, testing, and presenting a new product or business idea. Previous challenges have been posed by organizations as diverse as the Robin Hood Foundation, Uber, Weight Watchers and Bloomberg.

Startup Systems Design and Engineering 3.0 CS 5356

This course aims to bridge the gap between academic studies of computer science and practical software engineering. The course provides a fast-paced introduction to key tools, techniques and best practices to facilitate the building of prototypes and the deployment of user-facing working systems. It introduces technologies for building Web and mobile applications; systems for effective storage and processing of data; and tools to write, test, build, deploy and monitor code. The course will also emphasize challenges and trade-offs related to security and performance. The class will have "labs" and homeworks where students will implement and deploy working systems.

Leadership for Studio 1.0 NBAY 6800

This course deals broadly with leadership – of teams, projects, products, businesses, and communities. The course will pay special attention to leadership in the context of digital transformation and its social and economic impacts. Students will learn effective team-building and teamwork strategies, communication and presentation skills, and best practices for building a collaborative, creative and open culture in the workplace. As part of a personal development process, toolkits and exercises will be provided to promote critical thinking and moral reasoning skills. Sessions on social and multicultural awareness and sensitivity will equip students to be global leaders in a digitally-transformed world. In short, this course will cover all aspects of how students can become leaders in a digital economy.

Elective Courses

Psychological and Social Aspects of Connective Media 3.0 INFO 5310

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: introduction to behavioral research methods; principles of human perception and cognition; cognitive perspectives on design, attention and memory; emotion/affect; psychological theories of language use and self-presentation in computer-mediated communication; social psychological perspectives on coordination and group work (digital interaction), organizational science theories of social ties and relationships; user motivation, persuasion. Methodological topics will include the design of lab and field experiments, survey studies, and field observations, common statistical techniques used in the behavioral sciences and how to interpret them, and strategies for reporting results from behavioral science studies.

Medical Literacy 2.0 INFO 5400

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.

Natural Language Processing 3.0 CS 5740

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).

Computer Vision 3.0 CS 5760

The goal of computer vision is to compute properties of the three-dimensional world from digital images. Problems in this field include reconstructing the three-dimensional shape of an environment, determining how things are moving, and recognizing people and objects and their activities, all through analysis of images and videos. This course will provide an introduction to computer vision, with topics including image formation, feature detection, motion estimation, image mosaics, 3D shape reconstruction, and object and face detection and recognition. Applications of these techniques include building 3D maps, creating virtual characters, organizing photo and video databases, human computer interaction, video surveillance, automatic vehicle navigation and mobile computer vision. This is a project-based course, in which students will implement several computer vision algorithms throughout the semester.

Cryptography 3.0 CS 5830

In this course, students will learn how modern cryptographic services are built, understand how to avoid common pitfalls that lead to attacks, and gain experience implementing cryptographic libraries.

Physical Computing 3.0 CS 5422

This course provides a hands-on introduction to the resources for designing and fabricating smart systems using hardware components including sensors and sensor networks, analog instrumentation, embedded digital processing (microcontroller programming such as the Arduino system), graphics and I/O chips, flash memory, wired and wireless communications, PCB layout and fabrication, 3-D printing, and laser cutting. The key characteristics of the components and their interfaces will be presented. Using these tools, small multidisciplinary groups will conduct a hardware project of their choice.

Security & Privacy Concepts in the Wild 3.0 CS 5435

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.

Parallel and Distributed Computing 3.0 CS 5460

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