M.Sc in Machine Learning by Imperial College, London [Online, Via Coursera]: Apply Now!
Imperial College, London is starting an online M.Sc programme in Machine Learning via the coursera platform.
Join a booming, in-demand field with a Master’s degree in Machine Learning from one of the top universities in the world. In this programme, you will develop an in-depth understanding of machine learning models, alongside invaluable practical skills and guided experience in applying them to real-world problems.
The curriculum is designed to propel your engineering or data science career forward, allowing you to choose the path that’s right for you, be that a role as a data scientist, a machine learning engineer, or a computational statistician.
With hands-on projects, you’ll build a portfolio to showcase your new skills in everything from probabilistic modeling, deep learning, unstructured data processing and anomaly detection.
You will build a strong foundation in mathematics and statistics, giving you confidence in your analytical skills, but also acquire expertise in implementing scalable machine learning solutions using industry-standard tools such as PySpark, ensuring that no data is too big or too complex for you.
You will also have the opportunity to broaden your horizons through one of the first of its kind study of ethical topics posed by machine learning.
You will graduate with an ability to go beyond the algorithms and turn data into actionable insights, contribute to strategic decision making in your organisation and become a responsible member of this rapidly growing profession.
Who is this degree for
This degree offers multiple pathways to meet the needs of students with multiple backgrounds — both students just starting a career in data science, and those already working in roles such as senior data analysts, bioinformatics scientists, statisticians or business analysts.
Graduates are likely to pursue roles as data scientists, machine learning engineers, natural language processing engineers, data engineers, bioinformatics or health data scientists, AI engineers, or software engineers. Possibilities extend beyond this list, however, as machine learning is slowly becoming indispensable in other fields, such as journalism or even tourism.
This is a rigorous programme. Applicants are expected to have a quantitative undergraduate degree in a subject like computer science, math, statistics, economics, or physics.
For more information on this course, click the link below and submit your contact details.
Note: NoticeBard is associated with Coursera through an affiliate programme.
About the Author
Loved my student life, love talking to students now. I am a wearer of multiple hats (wife, mom, cook, chauffeur). My job is my hobby! :)