Masters in Machine Learning: Top Universities, Courses, Cost, Requirements, Eligibility & Scholarships

The Machine Learning for Visual Data Analytics MSc offered by Queen Mary University of London is a specialised Masters course that delves into the intricacies of Machine Learning. This course covers a wide range of topics enabling students to develop a deep understanding of the field. Through a combination of theoretical learning and practical applications, students will gain the skills necessary to tackle real-world challenges in Machine Learning. The course is designed to foster critical thinking, problem-solving abilities, and effective communication skills. Upon completion, graduates will be well-prepared to embark on successful careers in Machine Learning Engineer, Data Scientist, Research Scientist, AI/ML Consultant, Data Engineer, Deep Learning Engineer and make meaningful contributions to the industry.

The MSc Machine Learning & Deep Learning offered by University of Strathclyde is an advanced Masters course designed for students aspiring to become professionals in Machine Learning. Students will gain hands-on experience through practical exercises and real-world projects, allowing them to apply the concepts learned in class. The curriculum is carefully designed to ensure that students develop a strong foundation in Machine Learning and acquire the skills needed to solve complex problems in the industry. Upon completion of this course, students will be well-prepared to tackle the challenges of Machine Learning and pursue rewarding career opportunities such as Machine Learning Engineer, Data Scientist, Research Scientist, AI/ML Consultant, Data Engineer, Deep Learning Engineer.

The Master of Professional Studies in Applied Machine Intelligence offered by Northeastern University is an advanced Masters course designed for students aspiring to become professionals in Machine Learning. This course provides a comprehensive overview of the field. Students will gain hands-on experience through practical exercises and real-world projects, allowing them to apply the concepts learned in class. The curriculum is carefully designed to ensure that students develop a strong foundation in Machine Learning and acquire the skills needed to solve complex problems in the industry. Upon completion of this course, students will be well-prepared to tackle the challenges of Machine Learning and pursue rewarding career opportunities in roles like Machine Learning Engineer, Data Scientist, Research Scientist, AI/ML Consultant, Data Engineer, Deep Learning Engineer.

The Master of Science in Machine Learning Engineering (MSMLE) offered by Drexel University in USA is an advanced Masters program designed to provide students with comprehensive knowledge and practical skills in Machine Learning. The curriculum is carefully crafted to cover a wide range of topics, ensuring students gain a deep understanding of the subject matter and develop expertise in Machine Learning. With a focus on hands-on learning and industry-relevant projects, graduates are well-prepared for successful careers in the Machine Learning field. The program's holistic approach and diverse skill set make it highly in demand in USA. Graduates of Master of Science in Machine Learning Engineering (MSMLE) from Drexel Universitycan easily secure jobs in various industries, including positions such as Machine Learning Engineer, Data Scientist, Research Scientist, AI/ML Consultant, Data Engineer, Deep Learning Engineer. This program offers a valuable opportunity for students to excel and thrive in the dynamic world of Machine Learning.