Applications for Fall 2025 intake open now!
Apply by March 27, 2025 to secure your place in cohort. Request more information about this programme.
QS World University Rankings 2025
12 courses total, 21 hours per week
Expert tuition in a flexible, digital-first environment
The fully online MSc is developed and delivered by Imperial College London, therefore the learning outcomes are a level 7 - Master's level.
As a student of a Master of Science in Machine Learning and Data Science degree, you will develop an in-depth understanding of machine learning models and learn to apply them to real-world problems. These essential skill sets will offer you a solid foundation to excel in advanced careers within mathematics, data, or statistics. Students will benefit from engaging with a diverse cohort of aspiring professionals, benefiting from a stimulating learning environment that fosters collaboration, innovation, and growth. Additionally, with the flexibility of the part-time and online format, students can balance their education with their professional commitments and personal life.
Lectures are organized into weekly modules, which can be absorbed via video playback or interactive transcript. Pace yourself through online lectures before meeting with the professor and your classmates to dive deeper into the material.
Access your courses from anywhere — you can even download them to your mobile device and study offline without using your data plan.
Interact with fellow students through course forums. Get access to every question asked and answered by previous students. Meet, network, and work with peers in the program during live class sessions and regional meetups (optional).
Head of the Department of Accountancy and Professor of Accountancy and PwC Faculty Fellow and RC Evans Data Analytics Fellow
Assistant Professor of Accountancy and Arthur Anderson Fellowship in Accountancy and R.C. Evans Data Analytics Fellow
Associate Professor of Accountancy and Arthur Andersen Faculty Fellow
Deloitte Professor of Accountancy and Executive Associate Dean of Faculty and Research
For more than 100 years, Gies College of Business has intentionally designed its innovative programs, leading-edge curriculum, and experiential learning opportunities to empower and prepare students to turn big ideas into meaningful actions. Today, Gies faculty prepare more than 8,000 future business leaders from around the world to put their purpose into practice and provide transformative leadership in a global economy.
Get ready to apply!
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