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- University Certificate in Digital Transformation
- Professional Certificate in Applied Data Science
- Why Dartmouth Engineering?
- Non-Degree Courses
The need for skilled digital transformation leaders across industries is accelerating rapidly. In our current world, it's not a matter of if or when companies need to rethink digital strategy, but how. Offered in partnership with Coursera, Dartmouth Engineering's University Certificate in Digital Transformation equips professionals with the skills and the vision necessary to deliver high-impact organizational change through digital transformation.
Through the program, students will learn AI, machine learning, and design solutions to organizations boost innovation, streamline operations, and seize new market opportunities.
Who is this for?
Early to mid-career professionals seeking leverage technology to implement change throughout their organization. Business leaders looking to integrate disruptive technologies in company strategy.
Course Duration
6 months, 8-10 hours a week
Course Format
100% Online, through Coursera
Students will leave with the skills, vision, and expertise to innovate, lead their organizations through rapid technological change, and stay ahead of the curve. Students also benefit from:
For more information about the program or register for the program, visit Coursera's Professional Certificate in Digital Transformation page.
Whether it's energy, marketing, healthcare, education, or technology, every industry uses data to make decisions, and the current demand for data scientists far outpaces the number of skilled applicants. Offered in partnership with Emeritus, Dartmouth Engineering's Professional Certificate in Applied Data Science provide students with the skills they need for career advancement in any industry.
Students will build important data science skills in data structuring, data visualization, statistics, linear regression models, logistic regression, machine learning, and other high-demand skills.
Who is this for?
Professionals looking to enter a new career in data science or build on their existing careers.
Program Duration
6 months, 10-15 hours a week
Course Format
100% Online, through Emeritus
Students will leave the program with a robust professional data science portfolio to showcase their expertise. Students also benefit from:
For more information about the program or register for the program, please reach out to a program advisor at dartmouth@emeritus.org.
Dartmouth Engineering is renowned for our distinctive approach to education and research that fuels both depth and breadth within engineering, as well as integration and collaboration across disciplines. Through our online programs, you directly benefit from the expertise of faculty who have designed and developed the course curriculum and activities.
Professor of Engineering
Executive Director of the Dartmouth MEM Program
• Professional Certificate in Applied Data Science (Emeritus)
• Professional Certificate in Digital Transformation (Coursera)
Stata Family Career Development Associate Professor of Engineering
• Professional Certificate in Digital Transformation (Coursera)
Charles H. Gaut & Charles A. Norberg Assistant Professor of Engineering
• Professional Certificate in Digital Transformation (Coursera)
Professor of Engineering
• C Programming: Getting Started (edX)
• Linux Basics: The Command Line Interface (edX)
• C Programming: Language Foundations (edX)
• C Programming: Modular Programming and Memory Management (edX)
• C Programming: Pointers and Memory Management (edX)
• C Programming: Advanced Data Types (edX)
• C Programming: Using Linux Tools and Libraries (edX)
• C Programming: Getting Started - 1 (Coursera)
• C Programming: Language Foundations - 2 (Coursera)
• C Programming: Modular Programming and Memory Management - 3 (Coursera)
• C Programming: Pointers and Memory Management - 4 (Coursera)
In partnership with edX and Coursera, Dartmouth Engineering offers non-degree courses in C Programming with Linux and an introductory course on structural engineering principles.
In this C Programming with Linux Specialization program of seven short courses, you will learn how to write, read and debug computer programs in the C programming language while also becoming familiar with the Linux operating system.
• C Programming: Getting Started (edX)
• Linux Basics: The Command Line Interface (edX)
• C Programming: Language Foundations (edX)
• C Programming: Modular Programming and Memory Management (edX)
• C Programming: Pointers and Memory Management (edX)
• C Programming: Advanced Data Types (edX)
• C Programming: Using Linux Tools and Libraries (edX)
• C Programming: Getting Started - 1 (Coursera)
• C Programming: Language Foundations - 2 (Coursera)
• C Programming: Modular Programming and Memory Management - 3 (Coursera)
• C Programming: Pointers and Memory Management - 4 (Coursera)
In this introductory course, you'll learn some engineering principles that can be applied to structural systems everywhere: in nature, in furniture, in mechanical and aerospace systems, and in any solid object that resists a load.