Working Professionals
Looking to move into senior leadership or strategic roles.
Online Master's (MS Degree) In Artificial Intelligence and Machine Learning Machine Learning and Artificial Intelligence (AI) have emerged as game changers across sectors in today's data-driven environment. Many big universities acknowledge the increasing demand for workers with these skills and provide innovative Online Master of Science (MS) in Machine Learning & AI degrees.
Duration
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Full-time / Part-time options
Eligibility
—
Average Fees
₹2.8L – ₹5.7L
Program-wise
Mode
Online
Overview
Online Master's (MS Degree) In Artificial Intelligence and Machine Learning Machine Learning and Artificial Intelligence (AI) have emerged as game changers across sectors in today's data-driven environment. Many big universities acknowledge the increasing demand for workers with these skills and provide innovative Online Master of Science (MS) in Machine Learning & AI degrees.
Online Master's (MS Degree) In Artificial Intelligence and Machine Learning 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, ca…
Who it's for
See if your goals align with how this program is structured.
Looking to move into senior leadership or strategic roles.
Need structured pathways into leadership or specialist roles.
Enjoy inquiry-driven learning and evidence-based decisions.
Want clarity, milestones, and measurable outcomes.
Career Outcomes
High demand for doctorate-level management professionals across consulting, strategy, and academia.
20K+ professionals upskilled already
Universities
Compare top programs and choose the best fit for your goals.
All universities are UGC/AICTE approved and recognized for academic excellence.
Fees & Financing
Transparent fee structure with flexible payment options.
Total Program Fee
₹2.8L – ₹5.7L
*Fees may vary across universities. Instalment plans shared after shortlisting.
Easy EMI Options Available
Scholarships Up to 30%
Education Loan Assistance
Our experts can guide you with the best options.
Admission
Simple steps to start your doctoral journey.
Submit your profile, academics, and intent with supporting documents.
Our panel verifies eligibility and aligns you with the right cohort format.
Discuss research interests and career goals with faculty mentors.
Receive admission decision with financing and instalment options.
Complete registration, join the cohort workspace, and start Semester 1.
Placements
Based on placement data from top institutions.
Average Salary
₹18.7 LPA
Highest Salary
₹35.0 LPA
Placement Rate
78%
Top Recruiters
200+ Companies
MBA + DBA Impact
40%+ Average salary hike
Figures are indicative and vary by cohort, institute, and reporting methodology.
Explore full salary distributions and recruiter mix in the placement report.
See how this programme stacks up against similar credentials.
| Features | You're viewingMachine Learning & AI | PhD in Management | Executive MBA |
|---|---|---|---|
| Program Level | Postgraduate | Doctoral | Postgraduate |
| Duration | 3 Years | 4–5 Years | 1–2 Years |
| Average Fees | ₹2.8L – ₹5.7L | Varies | ₹12 – ₹28 LPA |
| Ideal For | Working executives & leaders | Research & academia oriented | Mid-career managers |
| Focus Area | Applied research & leadership | Theory & dissertation | General management |
| Career Outcomes | Strategy, consulting, academia | Academia, research roles | Leadership, CXO track |
FAQs
Quick answers to common questions.
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.
The duration of the Online MS in Machine Learning and AI program varies depending on factors such as program structure, the number of courses completed every semester, and your own pace. On average, the curriculum may be completed in 1 to 2 years of full-time study.
With an MS in Machine Learning and AI, you can work as a data scientist, data analyst, machine learning engineer, business intelligence analyst, and other positions. Machine Learning and AI workers are in high demand across sectors, with a wide range of career opportunities and good pay.
Yes, an MS in Machine Learning and AI can be used to advance your studies or research in the discipline. It can lay the groundwork for earning a PhD or doing advanced research in particular areas of Machine Learning and AI.
Several top institutions are known for their excellence in AI and machine learning education. Some renowned institutions offering reputable programs in this field include: • Liverpool John Moores University • Massachusetts Institute of Technology (MIT) • Stanford University • Carnegie Mellon University • University of California, Berkeley • University of Oxford • University of Cambridge • ETH Zurich • University of Toronto • University of Washington
Yes, obtaining a Master's in AI can be beneficial owing to greater employment chances, higher income potential, research and innovation opportunities, and networking benefits. However, the worth is determined by personal, professional aspirations and the program's quality.
Our expert counsellors can help you choose the right path based on your profile, goals & aspirations.
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