Courses
- MBA & DBA (3)
- Data Science (7)
- Machine Learning (6)
- Management (3)
- Marketing (2)
- Software & Technology (8)
- Master in Computer ScienceLiverpool John Moores University19 Months*
- Executive PG Program in Software DevelopmentIIIT Bangalore13 Months
- Advanced Certificate Program in Cloud ComputingIIIT Bangalore7.5 Months
- Advanced Certificate Program in DevOpsIIIT Bangalore7.5 Months
- Advanced Certificate Program in Cyber SecurityIIIT Bangalore7.5 Months
- Advanced Certificate Program in Big DataIIIT Bangalore7.5 Months
- Advanced Certificate Program in Blockchain TechnologyIIIT Bangalore7.5 Months
- Master in Cyber SecurityIU, Germany24 MonthsNew
- Business Analytics (1)
Master of Science in Machine Learning & AI
India's best selling program with a 4.5 star rating. Learn in-demand skills such as Deep Learning, NLP, Reinforcement Learning & work on 12+ industry projects, multiple programming tools & a dissertation.
With Industry Experts From
- 40,000+Paid Learners
- FormatOnline
- 20 monthsRecommended 15 hrs/week
- Sep 29, 2021Program Start Date
- FinancingStarts at $208.31/month
Program Overview
Key Highlights
- Only online M.Sc in ML & AI for working professionals
- WES (World Education Services) Recognised
- 12+ industry projects & assignments and choose 6 options out of 10 Capstone Projects
- 25+ Mentorship Sessions from Industry Experts
- IIIT Bangalore & LJMU Alumni Status
- LJMU Supervisor for guidance on Research & Dissertation
- Support available all days 24 hours for queries
- Live sessions with Global Experts
Eligibility:
- 50% (or equivalent) Bachelor's Degree preferably in a Mathematical/ Statistical background.
- Recommended 1 year of work experience in programming/ analytics.
Empowering learners of tomorrow
Over 2,300 students have completed this course and started working at their dream job, whats stopping you?
What You Benefit from This Program
- Master of Science in ML & AI Without Quitting Your Job
- Cutting-Edge Curriculum Designed by Industry Experts & Experienced Faculty
- Dual Alumni Status from IIIT Bangalore & LJMU, UK
- Upskill yourself with 450+ learning hours
20+ Programming Languages, Tools & Libraries Covered
Syllabus
Experience 450+ hours of best-in-class content developed by leading faculty & industry leaders in the form of videos, case studies & projects
Master's Degree from LJMU
With a heritage that stretches back to 1823, Liverpool John Moores University, UK is now one of the largest and most well-established universities in the UK. It has been ranked in the Top 100 World Young Universities & Top 50 in the UK by Student Satisfaction.
- Complete all courses to achieve this prestigious M.Sc. Degree from LJMU, UK to jump-start your career in ML & AI
- Get access to the complete digital library of LJMU to research & write your dissertation
- Earn a Master's degree which is recognised by WES, at 1/10th the cost of an offline program
Instructors
Learn from leading ML & AI faculty and industry leaders
Dr. Gabriela Czanner
Faculty - Engineering and Technology
A Senior Lecturer in Statistics and Data Science at Department of Applied Mathematics at LJMU. Her research focus is advanced statistics for decision support.
Dr. Atif Waraich
Faculty - Computer Science
A Senior faculty of Engineering and Technology at LJMU who has multiple publications in the healthcare domain
Anshuman Gupta
Director | Data Science
He has a Ph.D. (Dual) from Penn State University as well as a B.Tech. Degree from IIT Bombay.
Prof. Dhiya Al-Jumeily
Professor - Artificial Intelligence
A Senior Member of the IEEE and a Chartered IT Professional. He is a fellow of the UK Higher Education Academy.
Ankit Jain
Sr. Research Scientist
An alumnus of IIT Bombay, UCB, and Harvard Business School with over 9 years of experience.
Prof. Paulo Lisboa
Head of Dept - Applied Mathematics
Studied mathematical physics at LU and was the chairman of Industrial Mathematics at LJMU in 1996 and Head of Graduate School in 2002
Chandrashekar Ramanathan
Dean | Academics
Prof. Chandrashekar has a Ph.D. from Mississippi State University and over 10 years of experience in several multinational organisations.
Debabrat Das
Director, IIITB
He is PI and nodal officer of the project under the National Mission for Interdisciplinary Cyber-Physical Systems.
Prof. G. Srinivasaraghavan
Professor
Prof. Srinivasaraghavan has a Ph.D. in Computer Science from IIT Kanpur and 18 years of experience with Infosys Technologies.
Ujjyaini Mitra
Head of Analytics
An alumnus of McKinsey and Co., Flipkart, and Bharti Airtel with over 11 years of experience.
Syllabus
Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions.
- 12+Industry Projects
- 40+Live Sessions
- 6Capstone Projects
- 20+Tools, Languages & Libraries
Industry Projects
Learn through real-life industry projects sponsored by top companies across industries
- Engage in collaborative projects with student-mentor interaction
- Benefit by learning in-person with Expert Mentors
- Personalized subjective feedback on your submissions to facilitate improvement
- Train an agent to play Tic Tac ToeUse cutting-edge AI techniques to teach a computer to play a computer game l...Learn More
- Customer Ticket ClassificationLearners will create a solution that will help in identifying the type of co...Learn More
- Telecom Churn AnalysisSolve the most crucial business problem for a leading telecom operator in In...Learn More
- Detect Skin Cancer from ImagesBuild a neural network from scratch in Numpy to identify the type of skin ca...Learn More
- Fraud DetectionDecline fraud transactions on a credit card in real-time to minimize the los...Learn More
- Gesture RecognitionMake a Smart TV application which can control the TV with user’s hand gestur...Learn More
- Recommendation systemBuild one of the most famous models used by Netflix, Walmart to recommend vi...Learn More
- Maximising profit of cab driver using RLBuilding an RL-based algorithm which can help cab drivers maximise their pro...Learn More
- Topic Modelling with Amazon reviewsIdentifying what features of the recently released product on Amazon, custom...Learn More
- Social Media ListeningWhat if you could predict the popularity of a brand like upGrad in India?Learn More
- Speech RecognitionWonder how Google Speech to text works?Learn More
- Image captioningBuild a model which will caption a given image and describe it in sentences ...Learn More
- Sentiment Analysis on TwitterExtracting all the various narratives people have tweeted on Twitter regardi...Learn More
Benefits with upGrad
360 Degree Career Support services, Personalized Mentorship from Industry Experts, Hands-on Projects, Peer Networking opportunities & a whole lot more to help you master Machine Learning & AI.
- Interview Prep & Resume Building
- Get 1:1 Resume Review Sessions with Industry Experts & a dedicated Career Mentor
- Profile Building Workshops: Live sessions on how to build your profile - be it your resume or GitHub profile
- Explore 100+ commonly asked interview questions across modules
Company Specific Preparation- Just-in-Time Interviews: Get company and role-specific preparation with mock interviews right before your actual interviews
- Access to a carefully curated pool of interview resources per company to ensure you're interview-ready
- Industry Expert Mentorship
- Fortnightly personalised group (1:8) mentorship sessions with industry experts for pro-active mentoring
- Calls with industry experts for personalised feedback & guidance spread over 3 months
- Live interactive sessions with leading industry experts covering curriculum + advanced topics
Student Support- Available all days 24 hours.
- For urgent queries, use the Call Back option on the platform.
- Hands-on Project
- 12+ industry projects & assignments and choose 6 options out of 10 Capstone Projects
- Live coding classes on Kaggle & OpenCV & sessions to build your Github profile
Networking & Learning Experience- Live Discussion forum for peer to peer doubt resolution monitored by technical experts
- Reverse knowledge transfer sessions (FLIP classrooms) with learners tutoring fellow batchmates
- Peer to peer networking opportunities with a alumni pool of 10000+
- Lab walkthroughs of industry-driven projects
Our Learners Work At
Top companies from all around the world have recruited upGrad alumni
Student Reviews
I was referred by a friend and decided to give it a shot. Best investment.
I’ve spent twenty years in IT - and I see the industry moving towards machine learning and artificial intelligence. I wanted to stay ahead of the curve so I thought a formal education in an upcoming space would be a solid value add to my profile. upGrad offered formal education in a new field - and that’s how I ended up doing this program at upGrad. The content is pretty good and I also quite like the current platform interface. Looking forward to the rest of the program.
I feel lucky to have stumbled upon this course. It is the best investment I've made on myself.
Very happy that I joined the program for upskilling in ML & AI & upGrad gave me the right opportunity.
I really appreciate upGrad's online education system and providing valuable certification.
More than a quest for career transition it was curiosity that drove me to this course. I am still learning but equipped with better tools.
upGrad helped me establish communication channels with the Data Science & Data Platforms teams & ensure we worked towards high quality deliveries for my organization.
The upGrad experience of lectures, live sessions, MCQs, individual and group assignments and exams was overwhelming, but rewarding as I covered topic-after-topic.
Admission Process
There are 3 simple steps in the Admission Process which are detailed below:
Step 1: Online eligibility test
Complete your application to take a quick 40 minutes online test to start the admission process.
Step 2: Get shortlisted & receive offer letter
Admissions Committee reviews the test score & profile to shortlist learners and send offer letters to.
Step 3: Confirm your seat
Confirm your seat by enrolling into the program by making an initial block payment of USD 200.
Fee
USD 7499
Ask about our preferred employer tuition discount options!
Refer someone you know and receive Amazon.com vouchers worth 49 USD!*
*More details under the referral policy under Support Section.
Frequently Asked Questions
Program Details
Support
Selection Criteria
Refund Policy/Financials