Dartmouth College Educational qualification in Digital Transformation

Learn Digital Transformation with Dartmouth College


In this Digital Transformation course, you’ll get an introduction to the principles, processes, and methods of designing and developing successful digital products.

You will define the key terminology, tools, and phases of the product design and development process, including how to adapt a generic process based on the type of product and a firm’s context.

You’ll build the skills needed to develop advanced problem-solving and creativity skills, gain proficiency in rapidly translating ideas into low-fidelity prototypes, and employ user experience design and human-centered techniques.

You will also demonstrate the fundamentals of project management, including agile practices, to coordinate project resources, team members, and stakeholders.

Digital Transformation course

Ranked in the Top 15 Best National Universities by U.S. News & World Report.


Become a digital transformation leader with the skills to deliver high-impact organizational change and stay ahead in our rapidly evolving digital world.

In this 4-course program, you will learn how to harness AI, machine learning, and design solutions to implement strategies in your organizations to boost innovation, streamline operations, and seize new market opportunities.

Real world projects

Showcase your new skills with applied projects from industry to help boost your professional portfolio.

Program description

Build expand your organization’s data analytics, artificial intelligence, and machine learning capabilities by leveraging platform design management and strategy theories and strategies.

Required background

There are no formal prerequisites, but students entering this program are recommended to have:

  • An interest in digital transformation, strategy, and innovation
  • Experience with college-level learning
  • Relevant work or internship experience
  • Some familiarity with Python

Skills you will gain

  • Product management
  • Data strategy
  • Simulation techniques
  • Digital Transformation
  • Forecasting
  • Data analysis
  • Product design
  • Product development
  • Agile project management
  • Artificial intelligence
  • Machine learning
  • Leadership


This program will provide you with the knowledge and skills essential to drive strategic and positive change within your organisation.

You will learn how to identify obstacles to developing data analytics, artificial intelligence, and machine learning skills and how to overcome them through the use of digital transformation methodologies.

Through real-world examples from industries such as financial services, manufacturing, and healthcare, you’ll get a solid understanding of the dynamics of technological and economic change and the journey of digital transformation.

You will get the knowledge and tools needed to successfully manage digital transformation journeys through hands-on projects and apps.

Access to easy-to-use simulation and optimization tools that leverage cloud technology. You’ll look at digital product design and development in relation to agile project management, and you’ll learn how to create the metrics that are essential to any organization’s transformation efforts.

This credential is based on Dartmouth’s Master of Engineering Management (MEM) program’s competence.

The MEM programme at Dartmouth provides students with an intensive experience that broadens technical knowledge, develops business skills, and diversifies professional encounters and contacts, taught by teachers from Thayer School of Engineering and Tuck School of Business.

4 courses in this 6 month program

Course 1 of 4

Digital Transformation and Platforms

What you will learn

  • Agile development processes
  • Implementation
  • Solution frameworks
  • Project scoping
  • Digital transformation


Mini Capstone: Digital Transformation for Leaders (Continues to course 2)

Project Description: You will begin a project in Course 1 that will be completed in Course 2.

You’ll work with Dartmouth College in small groups to apply what you’ve learned about digital transformation and data analytics to a specific challenge or application. Even if the client is purely imaginary, this project will be given as a consulting report for a client.


This course at Dartmouth College will introduce you to the concept of digital transformation as well as the problems that organisations confront when conducting large-scale transformation projects.

You’ll learn how to break down large technology undertakings into smaller manageable portions in a way that parallels agile product development approaches.

You will investigate the difficulties of integrating business-to-consumer (B2C) tools and ideas in a business-to-business (B2B) scenario, as well as frameworks and ways for overcoming these difficulties.

Finally, you’ll talk about the personnel gaps that arise when firms adopt digital transformation efforts, as well as how new competencies might be developed. Principles will be brought to life throughout the course through relatable examples and case studies.

Course 2 of 4

A Managerial View of Data Analytics for Digital Transformation Dartmouth College

What you will learn at Dartmouth College

  • Why data analytics has become so important
  • How data analytics creates value in organizations
  • How organizations execute data analytics initiatives
  • Advantages of using data analytics to support product development
  • Some pitfalls to avoid when using data analytics in product development
  • Metrics as incentive systems
  • Using the right metrics at the right technology lifecycle stage
  • Discounted cash flow (DCF) versus Options


Mini Capstone: Digital Transformation for Leaders (Continued from Course 1)

Project Description: You will begin a project in Course 1 that will be completed in Course 2.

You will work in small teams to apply lessons learned through digital transformation and data analytics to a particular challenge or application.

This project will be delivered in the form of a consulting report for a customer, even if the client is fictitious.


In this course, you’ll learn how to measure important aspects of digital transformation during the lifecycle of projects.

If you want to know how your projects are going, there will be different metrics for each stage of the project. Non-financial metrics will also be talked about, and they will help you build a full set of tools to help you.

You’ll talk about the language of things, the language of money, and how they all work together as you look at the differences between a discounted cash flow (DCF) view and a real options view.

You’ll then look at the important role that experiments play in getting quick feedback to help with new ideas.

The special case of platforms, user bases, network effects, and virality will be talked about in this class. Finally, you’ll talk about artificial intelligence, machine learning, and how they can help with digital transformation and innovation projects.

Course 3 of 4

Digital Analytics and Tools for Managerial Decision-Making at Dartmouth College

What you will learn

  • Predictive analytics
  • Scenario evaluation
  • Prescriptive analytics
  • Optimization
  • Process design
  • Planning
  • Operations
  • Cloud-based analytics


Mini Capstone: Analytics Application

Project Description: The course will conclude with an individual capstone project. It will allow you to demonstrate how to apply numerous tools from your newly gained cloud analytics toolkit to a real-world scenario of your choosing.

You will use real-world data to support practical decision-making and provide managerial insight into critical strategic and operational issues confronting firms undertaking digital transformation. You will submit the project as a technical report to a real or hypothetical client, complete with an executive summary and actionable recommendations.


This course at Dartmouth College will teach you how to utilise predictive analytics tools and historical data to determine the probability of future outcomes and assess what-if scenarios in a variety of strategic and operational contexts.

Additionally, you’ll learn about prescriptive analytics and the value of optimization tools for streamlining process design, planning, and execution. After completing this course, you will be able to demonstrate an understanding of how to use simple cloud-based analytics tools.

Course 4 of 4

Digital Age Product Design and Development

What you will learn

  • Design thinking
  • Customer need-finding
  • Problem-solving and concept generation
  • Prototyping
  • UI/UX and accessibility
  • Product testing
  • Lean development and product management


Proof-of-concept Prototype

Project Description: You will work in small teams to create and develop a new digital product throughout the project section of the course.

By the end of the course, teams will have created a proof-of-concept version of their product. The objective will be to obtain hands-on experience applying product development processes and principles to a practical problem that will result in tangible customer value.

The next session will be announced soon by Dartmouth College.

Enroll today to secure your spot in the upcoming cohort.

The next cohort will be announced soon by Dartmouth College.

6 Months

8-10 hours per week


In 4 installments of $550 or pay all at once to save $100

100% Online

+ Live session classes. This program is taught in English.

No application necessary. Secure your spot today.

Instructor-led discussion and student support Learn primarily at your own pace, with optional live sessions and expert feedback.

Real world projects

Showcase your new skills with applied projects from industry to help boost your professional portfolio.