Data Scientist

Applications for the Jan 2027 intake are open until Sep 10, 2026, and tuition is 407 USD per month.

The Data Scientist program at International Business Machines Corporation is for students who want to learn about data science. It's a non-degree program that takes several months to complete and is taught in English. You'll get to study from anywhere since it's online.

This program will help you learn about data analysis, machine learning, and programming. You'll work on projects and develop skills like data visualization and statistical modeling.

After completing this program, you can work as a Data Analyst, Business Intelligence Developer, or Quantitative Analyst. You might find jobs at companies like IBM, Google, or Microsoft.

International Business Machines Corporation, or IBM, is a renowned technology company based in the United States. As a leader in driving technological advancement, IBM offers opportunities for you to be part of a community that focuses on innovation and research. You will have access to a company that has been at the forefront of technological development for over a century, with a strong presence in cloud computing, artificial intelligence, and cybersecurity.

Specifically, IBM focuses on delivering enterprise solutions in areas like cloud computing, artificial intelligence, cybersecurity, and quantum computing. With 345 programs available, you can explore different aspects of technology and consulting services. For instance, IBM's AI platform Watson has revolutionized data analytics and machine learning, giving you a unique opportunity to learn from industry leaders.

As you join IBM, you will be part of a global network with a strong presence in the United States. You will have opportunities to engage with a company that holds thousands of patents and is committed to addressing global challenges through technology. With its headquarters in Armonk, New York, you will be close to a major hub for business and technology, offering a unique blend of academic and professional experiences.