What makes CV different? Social Experiment by CV
100+ Universities
30X comparison factors
Free expert consultation
Quick Loan facility
Celebrating 1 lac admissions
Post Admission Support
CV Exclusive Community
Job + Internship Portal
Compare & Select from 100+
Online MS (Master of Science) in Machine Learning & AI
Updated at : April 5, 2024
Watch Video
Listen Podcast
Universities
2
Duration
18 - 24 Months
Eligibility info
Graduation with min. of 50% marks
Online MS in Machine Learning & AI program is a post-graduate program that offers students a thorough knowledge of the theoretical underpinnings and practical applications of machine learning and AI. Deep learning, natural language processing, computer vision, reinforcement learning, and ethical issues in AI are among the subjects covered in the program. Practical projects, case studies, and industry-relevant assignments provide students hands-on experience.
The Online MS in Machine Learning & AI program strongly emphasises hands-on experience and project-based learning. Students work on hands-on projects and case studies that replicate real-world circumstances, allowing them to use their knowledge and abilities to solve complicated challenges. This experiential learning method provides graduates with the practical knowledge and confidence required to thrive in the fast-paced field of artificial intelligence.
Students who pursue the Online MS in Machine Learning & AI program position themselves for attractive job options. AI specialists are in high demand, with businesses ranging from banking and healthcare to e-commerce and technology looking for talented employees to drive innovation and decision-making. The extensive industry contacts and career assistance services improve students' employability and offer doors to worldwide job opportunities.
The program's flexible online learning structure is one of its most notable aspects. The online platform, designed for working professionals and those seeking flexibility in their education, allows students to access course materials, lectures, and assignments quickly. The dynamic virtual learning environment encourages interaction with teachers and peers, fostering collaborative learning and networking possibilities.
Universities providing this program have a team of seasoned faculty members that are machine learning and AI professionals. These faculty members bring industry knowledge, research skills, and real-world insights into the virtual classroom, ensuring students receive current and practical instruction. In addition, the institution works with industry partners to expose students to real-world issues and opportunities, boosting their learning experience.
The following are the important highlights of the Online Master of Science (MS) in Machine Learning & AI program:
The following disciplines and topics are commonly covered in the Online Master of Science (MS) in Machine Learning & AI program's syllabus:
|
|
|
|
|
|
|
|
|
|
The following are the qualifying requirements for the Online Master of Science (MS) in Machine Learning & AI program:
These eligibility requirements ensure that applicants have a strong academic foundation in mathematics or statistics, the necessary programming and analytics skills, and a prior understanding of machine learning and AI through the completion of the Executive PGP in Machine Learning & AI. These criteria ensure that students are well-prepared for the advanced courses and practical projects in the Online MS in Machine Learning & AI program.
Online Master of Science (MS) in Machine Learning & AI curriculum lasts 1 to 2 years. The curriculum is designed to fit the needs of students with varying schedules and responsibilities.
The duration may differ based on factors such as the student's study rate, the number of courses taken every semester, and whether they study full-time or part-time. Students may tailor their study schedule to their needs and go through the program at their speed.
The admissions process for the Online Master of Science (MS) in Machine Learning & AI program is uncomplicated. Here's a step-by-step guide:
Please remember that the admissions procedure and exact requirements may change yearly. You should check the university's official website providing the program or contact the admissions office directly for the most current and up-to-date information.
Pursuing the Online Master of Science (MS) in Machine Learning & AI degree opens up various professional prospects in machine learning and AI. The need for employees with machine learning and AI knowledge is increasing across several sectors. Below you can find some best companies where you can work after finishing the program.
Individuals with a Master of Science (MS) in Machine Learning & AI are in high demand in today's AI-driven environment. These individuals, with their particular talents in AI, machine learning, and programming, play a critical role in assisting firms in making informed decisions and gaining a competitive advantage. As businesses increasingly rely on data to drive innovation and efficiency, career opportunities for those with an MS in Machine Learning & AI are plentiful and exciting. Let's take a look at some of the fascinating employment options available to you after finishing the Online MS in Machine Learning & AI program:
|
|
|
|
|
|
|
|
These are only a few examples, and the discipline of machine learning and artificial intelligence (AI) provides a wide range of positions in sectors such as banking, healthcare, e-commerce, technology, and others. With the rising integration of AI technology across industries, there are several chances for professional advancement and innovation. The Online MS in Machine Learning & AI program will provide you with the information, abilities, and hands-on experience you need to flourish in these dynamic and exciting career fields.
Yes, the curriculum is intended for students from a variety of backgrounds. While a programming background is advantageous, the program covers fundamental ideas and provides the training to develop abilities in Machine Learning & AI-related fields.
Applicants must normally have a bachelor's degree in a related discipline to be considered for the program. Additional criteria, such as a minimum GPA or required courses in mathematics or programming, may apply to some programs.
Yes, the program's online structure provides flexibility, making it appropriate for working professionals. You may access course materials and complete projects quickly, giving you the flexibility to juggle your study and your employment.
Yes, many programs offer hands-on components like case studies, projects, or internships to provide students with hands-on experience applying Machine Learning and AI concepts to real-world situations. These possibilities will help you develop your talents and establish a solid portfolio.
A typical online learning experience includes video lectures, interactive modules, discussion boards, and virtual classrooms. Through a specialised online learning platform, you will have access to course materials, resources, and faculty assistance.
View More
Every query is essential.
Our team of experts, or experienced individuals, will answer it within 24 hours.
Ask any Question - CV PanelBy clicking, you agree to our Privacy Policy, & Our Trust
The intend of College Vidya is to provide unbiased precise information & comparative guidance on Universities and its Programs of Study to the Admission Aspirants. The contents of the College vidya Site, such as Texts, Graphics, Images, Blogs, Videos, University Logos, and other materials contained on College vidya Site (collectively, “Content”) are for information purpose only. The content is not intended to be a substitute for in any form on offerings of its Academia Partner. Infringing on intellectual property or associated rights is not intended or deliberately acted upon. The information provided by College Vidya on www.collegevidya.com or any of its mobile or any other applications is for general information purposes only. All information on the site and our mobile application is provided in good faith with accuracy and to the best of our knowledge, however, we make nor representation or warranty of any kind, express or implied, regarding the accuracy, adequacy, validity, reliability, completeness of any information on the Site or our mobile application. College vidya & its fraternity will not be liable for any errors or omissions and damages or losses resultant if any from the usage of its information.
Build with . Made in India.