Courses

Master of Science in Machine Learning & AI

India's best selling programme 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. Start your ML & AI journey today at Rs. 13,825 per month*.

Watch
Intro Video
With Industry Experts From
  • 40,000+
    Learners
  • Format
    Online
  • 18 Months*
    Recommended 15 hrs/week
  • Oct 30, 2021
    Programme Start Date
  • India's #1

    Technical University (Private)

    India Today, 2021
  • EMI options
    Starting at Rs. 13,825*
  • Tools
  • Benefits
  • Syllabus
  • Projects
  • Instructors
  • Careers
  • Reviews
  • Admission Process
  • Fees
  • FAQs

Programme Overview

Key Highlights

  • Only online M.Sc in ML & AI for working professionals
  • WES (World Education Services) Recognised
  • 12+ industry projects and 6 Capstone Projects to choose from
  • 25+ Mentorship Sessions from Industry Experts
  • IIIT Bangalore & LJMU Alumni Status
  • LJMU Supervisor for guidance on Research & Dissertation
  • Support available all days 9 AM - 9 PM IST for queries
  • No Cost EMI Options Available
  • Placement Assistance (Job Opportunities Portal, Hiring Drives, Resume Building & more)
  • Access to Global Job Opportunities with an M.Sc. from LJMU, UK
Syllabus

Experience 450+ hours of best-in-class content developed by leading faculty & industry leaders in the form of videos, case studies & projects


 

20 Programming Languages, Tools & Libraries Covered

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 programme
Master's Degree from LJMU
Click to Zoom
Benefits with upGrad
360 Degree Career Support services, Personalised Mentorship from Industry Experts, Hands-on Projects & Hackathons, Peer Networking opportunities & a whole lot more to help you master Machine Learning & AI.
  • Job Opportunities
    upGrad Opportunities
    • upGrad Elevate: Virtual hiring drive giving you the opportunity to interview with upGrad's 300+ hiring partners
    • Job Opportunities Portal: Gain exclusive access to upGrad's Job Opportunities portal which has 100+ openings from upGrad's hiring partners at any given time
    • Relevant Internship opportunities for learners open to gaining hands-on experience
    • Top performers in Hackathons will have the opportunity to interview with the host company
    • Post graduation Career Support: live sessions with industry mentors to guide you, dedicated mentorship, & access to upGrad’s career assistance resources
  • 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 9 AM - 9 PM IST.
    • For urgent queries, use the Call Back option on the platform.
  • Hands-on Projects & Hackathons
    • 12+ projects & assignments and a Capstone Project to choose from 10 options
    • 1 Hackathon every quarter to apply learnings
    • 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

Syllabus

Experience 750+ hours of best-in-class content developed by leading faculty & industry leaders in the form of videos, case studies & projects.

  • Pre-Program Preparatory Content
    • 3 Weeks
  • Statistics and Exploratory Data Analytics
    • 5 Weeks
  • Machine Learning - I
    • 7 Weeks
  • Machine Learning - II
    • 7 Weeks
  • Deep Learning
    • 8 Weeks
  • Natural Language Processing
    • 7 Weeks
  • ELective 1: DL with MLops
    • 10 Weeks
  • Elective 2: NLP with Mlops
    • 10 Weeks
  • Elective 3: AI Strategy
    • 10 Weeks
  • Reinforcement Learning (Optional)
    • Research Methodologies
      • 4 Weeks
    • Master's Dissertation
      • 16 weeks
    • 750+
      Hours of Content
    • 12+
      Case Study and Projects
    • 40+
      Live Sessions
    • 11
      Coding Assignments
    • 20
      Tools, Languages & Libraries
    • 6
      Capstone Projects to Choose From

    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
    • Personalised subjective feedback on your submissions to facilitate improvement
    • Telecom Churn Analysis
      Solve the most crucial business problem for a leading telecom operator in In...
      Learn More
    • Train an agent to play Tic Tac Toe
      Learners will apply Q-Learning to train an RL agent to play the game of nume...
      Learn More
    • Classification of Customer Complaints
      Create a solution that will help in identifying the type of complaint ticket...
      Learn More
    • Credit Card Fraud Detection
      Build a machine learning model capable of detecting fraudulent transactions....
      Learn More
    • Melanoma Detection Assignment
      Build a neural network from scratch in Tensorflow to identify the type of sk...
      Learn More
    • Gesture Recognition
      Make a Smart TV system which can control the TV with user’s hand gestures as...
      Learn More
    • News Recommender System
      Build a model to using the concepts of natural language processing and recom...
      Learn More
    • Maximizing profit of cab driver using RL
      Learners will use the Markov Decision Process & Q-Learning to build an RL ag...
      Learn More
    • Custom Entity detection in Healthcare data
      You will build a custom NER to get the list of diseases and their treatment ...
      Learn More
    • Eye for the Blind
      Build a model that can help any visually impaired person in understanding im...
      Learn More
    • Sentiment analysis based Product Recommender system
      Build a sentiment analysis based product recommendation system to recommend ...
      Learn More
    • Sales Forecasting
      Predict the sales for a european pharma giant using a host of different type...
      Learn More
    • Style Transfer using GAN's
      Build a Model for converting MRI images from one type (T1) into other (T2) a...
      Learn More
    • Machine Translation System
      You will build an attention-based neural machine translation model translati...
      Learn More
    • Face Mask Detection
      Create a custom object detector using the YOLO algorithm to detect the prese...
      Learn More

    Instructors

    Learn from leading ML & AI faculty and industry leaders

    77% Learners Achieve Career Benefits

    Learn more about successful career transitions in the
    Career Transition Handbook
    58%
    Avg. Salary Hike
    73L
    Highest Salary
    500+
    Career Transitions
    300+
    Hiring partners
    77%
    Learners Achieve Meaningful Career Benefits
    90%
    Programme Completion Rate
    Career & Resume Consultation
    Get personalized career guidance from experts to chart out the best opportunities and obtain specific, personalized inputs on your resume structure and content
    Learn More
    Resume Feedback
    Obtain specific, personalised inputs on your resume structure and content.
    Learn More
    Interview Preparation
    Receive one-on-one mock interviews conducted by industry mentors and detailed feedback after an interview.
    Learn More
    Job Assistance
    Get an opportunity to interview for 300+ hiring companies partnered with upGrad
    Learn More
    Try the upGrad Learning Experience for FREE
    Take a Demo

    upGrad Alumni

    Student Reviews

    Admission Process

    There are 3 simple steps in the Admission Process which are detailed below:

    Programme Fee - Indian Residents
    Starting at Rs 13,825/month*
    Programme Price 4,99,000 (incl. taxes). No cost EMI options available.
    View Plans

      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 Programme
      • 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
      • Career Transition with an average 58% Salary Hike
      • Hiring Opportunities from Flipkart, Microsoft, PwC, Genpact, and More
      Note-
      • *Programme length implies 18 months of learning and full programme duration may vary depending on university.

      Frequently Asked Questions

      Programme Details
      Support
      Refund Policy/Financials
      Selection Criteria