MPE - OP - FTI - header - image - desktop

ONLINE COURSE

Forecasting Technology Innovation:

Using Data for Strategic Advantage

Request more information

Inquiring For
Work Experience

By clicking the button below, you agree to receive communications via Email/Call/WhatsApp/SMS from Global Alumni and MIT Professional Education about this program and other relevant programs. View our terms and privacy policy.

Why enroll in this course?

MPE - icon-database-solid

Boost your organization's technology portfolio through data-informed insights and decision-making.

MPE - icon - bolt-solid

Acquire the skill to measure and predict technological progress using forecasting, performance metrics, and trends.

MPE - icon - money-bill-trend-up-solid

Strategically invest in suitable technological solutions in a world characterized by endless options.

MPE - icon-chalkboard-user-solid

Engage in two live sessions with MIT instructors, and up to eight live sessions with learning facilitators, industry experts, and peers.

MPE - icon-comments-solid

Networking opportunities establish professional connections with industry experts and your cohort.

MPE - icon-laptop-file-solid

Access to rich supplementary resources provides additional materials and content for a more thorough educational journey.

What will you learn?

What will you learn?

  • Develop and understanding of how large data sets at various levels of detail can be used to gain insights into the dynamics of technological innovation.

  • To anazlyze, anticipate and compare rates of progress.

  • Avant-garde theories of technological innovation.

  • Discover how to apply data analysis, including trends and data-driven models, to guide investment and design decisions.

  • Improve decision-making to support technological innovation when designing financial portfolios, research and development portfolios, and public policy.

All the participants who successfully complete their program will receive an MIT Professional Education Certificate of Completion, as well as Continuing Education Units (CEUs)*.

To obtain CEUs, complete the accreditation confirmation, which is available at the end of the course. CEUs are calculated for each course based on the number of learning hours.

*The Continuing Education Unit (CEU) is defined as 10 contact hours of ongoing learning to indicate the amount of time they have devoted to a non-credit/non-degree professional development program.

To understand whether or not these CEUs may be applied toward professional certification, licensing requirements, or other required training or continuing education hours, please consult your training department or licensing authority directly.

Course outline

MIT Professional Education's online course Forecasting Technology Innovation explores the data-driven process of measuring, tracking, predicting, and influencing technological innovation. Gain mastery in the skills needed to make better technology investments and design decisions to elaborate public policy, as well as financial and R&D portfolios.

  1. Motivation

  2. Reflections on forecasting

  3. Overview and background

  1. Defining technology

  2. Technological sophistication and progress

  3. Performance metrics: Measuring cost, time, or other resources per service provided

  4. Consequences: The beneficial and harmful impacts of technology

    • Assignment 1: Performance metrics

    • Assignment 2: Price indices

    • Assignment 3: Data analysis

    • Assignment 4: Measuring technology's benefits and harms

  1. Examples of change in technology performance over time

  2. Data-driven models of technology innovation

    • Assignment 1: Dataset analysis

  1. Forecasting methods: From expert elicitation to data-driven models

  2. Data-driven forecasting: Accounting for uncertainty

  3. Discussion of technology forecasting

    • Assignment 1: Interpreting an application of Moore’s Law

    • Assignment 2: Analyzing a data source as a basis for forecasting

  1. Building intuition

  2. Mechanistic model example: Innovation of interconnected components

    • Assignment 1: Visualizing component dependency

  1. The multi-level driver model

  2. Examples

    • Assignment 1: Assessing Technology Innovation Policy

  1. What is a technology portfolio problem?

  2. How innovation forecasts can inform technology portfolio decisions

  3. Solving technology portfolio problems

    • Assignment 1: Vaccine development (Optional)

    • Assignment 2: Portfolio problem

  1. Brief review of course material

  2. Application scenarios

  3. Concluding remarks

    • Assignment 1: Application scenarios

Who is this online course for?

  • Professionals with an interest in innovation, determined to create an impact on their organizations' processes and drive success.

  • CEOs and other managers of companies undergoing transformation processes for which innovation is central to success.

  • Entrepreneurs of tech start-ups with innovative aspirations.

  • Technical experts with a strong interest in technology and innovation, and in leadership positions.

Instructor

MPE - Faculty - Jessika Trancik
Prof. Jessika Trancik

Professor, Institute for Data, Systems, and Society, MIT

I absolutely loved this course on technological innovation and forecasting! It has been an incredibly enriching experience, both personally and professionally. The course content was not only comprehe...
Aldo Segnini
Founder / Chief Executive & Strategy Officer,
Tailor Strategy
This course has been an excellent experience: it provides a clear vision of data prediction and its immense range of possibilities. Our instructor was exceptional, demonstrating great competence and d...
Luis Urbina
Head of Development, Automation, and IT Processes,
Bagó Laboratories

MIT Professional Education in Numbers

+60K

Participants in our courses

+155

Countries represented by our participants

92%

Rate the experience as extraordinary

Preguntas frecuentes

Los impuestos aplicables se calcularán y se añadirán en el momento del pago, de acuerdo con la normativa del país o estado correspondiente.

Didn't find what you were looking for? Schedule a call with one of our Program Advisors or call us at +1 315 602 3089.

Frequently Asked Questions

Applicable taxes will be calculated and added at checkout in accordance with country/state regulations.

Register now and boost your professional trajectory.

Enroll by

Apply Now