Course summary
Accelerate your career in engineering or data science on this online and part-time Master's course. Via hands-on projects, you'll build a portfolio in everything from probabilistic modelling and deep learning to unstructured data processing and anomaly detection. This programme will enhance your analytical abilities in relation to mathematics and statistics. You'll gain expertise in tackling complex data by implementing scalable solutions using industry-standard tools, including PySpark. You'll also consider the ethics and limitations of machine learning, and learn how to ethically apply these techniques to your work. All learning is delivered online.
Entry requirements
2:1 in statistics, mathematics, engineering, physics or computer science. We also accept a wide variety of international qualifications.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
Imperial College London
South Kensington Campus
Kensington and Chelsea
SW7 2AZ