Bachelor's, Master's, PhD, certificate programs & boot camps

Learn how to drive quality and productivity projects by mastering the methods, tools and principles of Lean Six Sigma.

Lean Six Sigma enable organizations to identify weaknesses of their business processes, to measure, analyze and improve their performance, and thus to sustainably increase customer satisfaction and decrease costs.

In this program, you will first earn the TUM Lean Six Sigma Yellow Belt Certification by mastering the fundamentals of the Lean Six Sigma methodology, plus the Green Belt Certification by applying your knowledge in practice with a predefined project.

What you will learn:

• To understand the logic and methodology of Six Sigma and the principles of Lean Management
• To apply the qualitative and quantitative tools of Lean Six Sigma
• To apply Lean Six Sigma fundamentals in an individual, standardized project
• To identify, implement, and evaluate suitable Lean Six Sigma projects in organizations

Over the next decade, marketing jobs are projected to grow faster than the average for all occupations. In this era of digital disruption, companies are increasingly focused on digital marketing, creating heightened demand for a specialised skill set.

The Marketing in a Digital World MicroMasters program equips learners with the key concepts and practical skills to build a career in marketing in the digital age. Throughout the program, learners will engage in problem solving and analytical thinking, gaining expertise in:

• Creating and sustaining a brand;
• Marketing through digital channels, such as social media;
• Consumption behaviour across buying contexts;
• Marketing metrics;
• Digital brand engagement;
• Digital brand reputation management.

Speed is critical in software development. Successful developers are those who are able to quickly learn new technologies and new software systems, and they do this by seeing any software – in any programming language – as common repeating patterns, not just detailed lines of code.

In this MicroMasters program, you will learn this same kind of expert thinking. By working through several software development projects, you will learn specific technologies, including Java, JUnit, IntelliJ IDEA, Typescript and Node.js. But even more important, you will develop the ability to see the common structures in programs and in tools and learn how to apply these skills to master new technologies quickly.

Upon completion of this program, you will be able to write programs using a systematic approach and to design programs that are easy to maintain. You will also learn how to use agile methods in order to build software programs that solve real world problems.

With the skills obtained in this program, you will have the confidence to apply for positions that use any programming language or technology.

Selling is one of the most crucial and oldest professions and is an extremely marketable skill for most consulting, technology, management, and executive positions.

In this program, you will have the opportunity to learn, review, and critique the sales process through the use of role playing, interviewing, and lectures. This program will take a hands-on, practical approach to help you understand sales strategy and concepts which lead to successful sales careers, from sales reps, sales managers, to enterprise sales executives.

This program is designed for:

• Founders leading sales in your start-up organization.
  Recent graduates in the early stages looking for that first role in a promising career.
• Experienced professionals exploring a career change to become a sales professional.
• Enterprise Sales will prepare you to take the next step in a rewarding career in sales.

The Fundamentals of Project Management Professional Certificate introduces the fundamental principles for you to manage a successful project – from small, do-it-yourself projects, to large-scale projects – across a range of industries and sectors.

Throughout your learning journey, you will apply project management methodologies to the key characteristics of a project life cycle. You will learn about the application of core principles through carefully considered scenarios with broad-ranging contexts. To get a deeper insight into the scope of project management, you’ll share your experience and knowledge with other learners, learning from them as you go.

Upon completion of the first course, you’ll then develop your knowledge, understanding and skills in project risk management. You will learn how to integrate the risk management process into your own business context by identifying, assessing and analysing risk. You will complete your learning journey by developing a strategy for risk response, and how to monitor and review risk.

What you will learn:

• Core knowledge and applied skills in project management.
• Essential communication skills to help you manage a project.
• An understanding of why today’s projects are more complex.
• How the risk management process works as part of a compliance framework and how to use the framework to identify, assess and analyse risks in business.
• Design and integration strategies for reporting and communicating risks to various stakeholders.

Tiny Machine Learning (TinyML) is a cutting-edge field that brings the transformative power of machine learning (ML) to the performance- and power-constrained domain of tiny devices and embedded systems. Successful deployment in this field requires intimate knowledge of applications, algorithms, hardware, and software.

In this unique Professional Certificate program offered by Harvard University and Google ML, Data and AI Subject Matter experts, you will enhance your knowledge in the emerging field of TinyML, start applying the skills you have developed into real-world applications, and build the future possibilities of this transformative technology at scale.

What you will learn:

• How to gather data effectively for training machine learning models.
• How to use Python to train and deploy tiny machine learning models.
• How to optimize machine learning models for resource-constrained devices.
• How to conceive and design your own tiny machine learning application.
• How to program in TensorFlow Lite for Microcontrollers.
• How to automate a MLOps life cycle.
• Real-world examples and case studies of MLOps Platforms targeting tiny devices.

Learn how to collaborate, connect and communicate with your team in today’s virtual world of work with this business skills certificate. These power skills (sometimes called soft skills) are keys to advancing your career in the digital workplace.

Communication, teamwork, emotional intelligence, collaboration, adaptability, and creativity will set you apart as an employee or job seeker.

The courses in this program will guide you to work effectively with others. Working effectively in the remote work environment requires heightened self-awareness and understanding. You will learn concepts, practice important skills, and apply tips and scientifically based models in order to build trust and navigate difficult workplace situations.

Kelley School of Business faculty who are experts in communication and career/professional development will guide you to choose effective ways of creating connections with teammates and others in virtual work.

Data science is making us smarter and more innovative in so many ways. How does it all work? In this Data Science and Analytics Professional Certificate program you will gain insight into the latest data science tools and their application in finance, health care, product development, sales and more. With real world examples, we will demonstrate how data science can improve corporate decision-making and performance, personalize medicine and advance your career goals.

Taught by a distinguished team of professors at Columbia University’s Data Science Institute, this program is perfect for anyone who wants to understand basic concepts in data science without getting into the weeds of programming. Aimed at organization leaders, business managers, health care professionals and anyone considering a career in data science, this program will steep learners in the fundamentals of statistics, machine learning and algorithms. It will also introduce emerging technologies such as the Internet of Things (IoT) , or wirelessly connected products, and techniques that allow computers to summarize mountains of text, audio and video. Concrete examples provided throughout the program will ensure that learners fully grasp and master key concepts.

The video games of the 1970s and 1980s have never lost their appeal. Pong, Super Mario Bros., The Legend of Zelda — these games defined a generation and set the stage for the massive billion-dollar video game industry of today. Even among the current blockbuster action-adventure titles, retro indie games play an important role, but how are these games made? What principles do you need to master to become a game designer and create the next hit title?

These courses will lead you through the most popular undergraduate course at Harvard, CS50, an Introduction to Computer Science. The first course will introduce you to common programming languages, providing a strong foundation to build the skills necessary to design and develop your own game. The second course will introduce you to the fundamentals of game programming itself.

You’ll explore the design of classic games — and newer titles like Angry Birds and Portal — in a quest to understand how video games are built. Through lectures and hands-on projects, you’ll explore the principles of 2D and 3D computer graphics, animation, sound, and collision detection. You’ll learn how to use frameworks like Unity and LÖVE 2D, as well as languages like Lua and C#. Join now to program your own games and gain a thorough understanding of game design and development.

This MicroMasters program in Statistics and Data Science is comprised of four online courses and a virtually proctored exam that will provide you with the foundational knowledge essential to understanding the methods and tools used in data science, and hands-on training in data analysis and machine learning. You will dive into the fundamentals of probability and statistics, as well as learn, implement, and experiment with data analysis techniques and machine learning algorithms. This program will prepare you to become an informed and effective practitioner of data science who adds value to an organization. The program certificate can be applied, for admitted students, towards a PhD in Social and Engineering Systems (SES) through the MIT Institute for Data, Systems, and Society (IDSS) or may accelerate your path towards a Master’s degree at other universities around the world.