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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. 11,652 per month*. Eligibility: Bachelor’s degree + 50%. Min. 1 year work exp. in tech domains preferred.
5 out of 6 learners get positive career growth
upGrad Results reviewed by Deloitte

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Intro Video
  • 2+ Million
    Learners
  • 18 Months*
    Recommended 15 hrs/week
  • Jul 31, 2022
    Programme Start Date
  • India's #1

    Technical University (Private)

    India Today, 2021
  • Overview
  • Tools
  • Certificate
  • Benefits
  • Syllabus
  • Projects
  • Instructors
  • Careers
  • Reviews
  • Admission Process
  • Fees
  • FAQs
  • Refer & Earn

Programme Overview

Key Highlights

  • Designed for Working Professionals
  • 6 Practical Hands-on Capstone Projects
  • 15+ Case Studies and Assignments
  • Live Coding Classes & Profile Building Workshops
  • Executive PG Programme from IIIT Bangalore & Alumni Status
  • Dedicated Student Success Mentor & Career Mentor for 360 Degree Support
  • Student Support is available 7 days a week, 24*7
  • No Cost EMI Options Available
  • Career mentorship Sessions(1:1)
  • Exclusive Job opportunities Portal
  • High Performance Coaching(1:1)
  • AI Powered Profile Builder
  • Just-in-Time Interviews
  • Personalised Industry Session
  • Career Bootcamp
  • 750+ Hours of Learning
  • Daily Doubt Resolution Sessions

Eligibility:
-Bachelor's Degree preferably in a Mathematical/ Statistical background with 50% (or equivalent) . Successful completion of the Executive PGP in Machine Learning & AI from IIITB mandatory.
- Recommended 1 year of work experience in programming/ analytics.

  • Top Subjects you will learn
    Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Transformers, Cloud and MLOps
  • Who Is This Programme For?
    Engineers, Software and IT Professionals, Data Professionals
  • Job Opportunity
    Data Engineer, Data Scientist, Machine Learning Engineer, MLOps Engineer
  • Minimum Eligibility
    Bachelor’s Degree with 50% or equivalent passing marks. Minimum 1 year of work experience in a technical domain or a degree in mathematics or Statistics with programming experience.
Syllabus

Experience 750+ 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
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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
    • Be the first to know vacancies to gain an edge in the application process
    • Connect with companies that are the best match for you
  • Career Mentorship Sessions (1:1)
    • Get mentored by an experienced industry expert and receive personalised feedback to achieve your desired outcome
    High Performance Coaching (1:1)
    • Get a dedicated career coach after the program to help track your career goals, coach you on your profile, and support you during your career transition journey
    AI Powered Profile Builder
    • Obtain specific, AI powered inputs on your resume and Linkedin structure along with content on real time basis
    Interview Preparation
    • Get access to Industry Experts and discuss any queries before your interview
    • Career bootcamps to refresh your technical concepts and improve your soft skills
  • Industry Expert Guidance
    • Interactive Live Sessions with leading industry experts covering curriculum + advanced topics
    • Personalised Industry Session in small groups (of 10-12) with industry experts to augment program curriculum with customized industry based learning
    Student Support
    • Student Support is available 7 days a week, 24*7 for non-academic queries
    • You can write to us via studentsupport@upgrad.com Or for urgent queries, use the "Talk to Us" option on the Learn platform.
  • Networking & Learning Experience
    • Live Discussion forum for peer to peer doubt resolution monitored by technical experts
    • Peer to peer networking opportunities with a alumni pool of 10000+
    • Lab walkthroughs of industry-driven projects
    • Weekly real-time doubt clearing sessions

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
  • Capstone
    • 4 weeks
  • Reinforcement Learning (Optional)
    • Research Methodologies
      • 8 Weeks
    • Master's Dissertation
      • 16 weeks
    • 750+
      Hours of Learning
    • 15+
      Case Studies and Assignments
    • 90
      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...
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    • 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

    Dr. Gabriela Czanner
    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
    Dr. Atif Waraich
    Faculty - Computer Science
    A Senior faculty of Engineering and Technology at LJMU who has multiple publications in the healthcare domain
    Prof. Dhiya Al-Jumeily
    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.
    Prof. Paulo Lisboa
    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
    Hindol Basu
    Hindol Basu
    CEO
    An alumnus of IIT and IIM with over 13 years of experience in Analytics with industry leaders such as the CitiGroup, Tata Industries, etc.
    Chandrashekar Ramanathan
    Chandrashekar Ramanathan
    Dean | Academics
    Prof. Chandrashekar has a Ph.D. from Mississippi State University and over 10 years of experience in several multinational organisations.
    S. Anand
    S. Anand
    CEO
    A Gold medallist from IIM Bangalore, an alumnus of IIT Madras and London School of Business, Anand is among the top 10 data scientists in India.
    Ujjyaini Mitra
    Ujjyaini Mitra
    Head of Analytics
    An alumnus of McKinsey and Co., Flipkart, and Bharti Airtel with over 11 years of experience.
    Debabrata Das
    Debabrata Das
    Director, IIITB
    He is PI and nodal officer of the project under the National Mission for Interdisciplinary Cyber-Physical Systems.
    Anshuman Gupta
    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. G. Srinivasaraghavan
    Prof. G. Srinivasaraghavan
    Professor
    Prof. Srinivasaraghavan has a Ph.D. in Computer Science from IIT Kanpur and 18 years of experience with Infosys Technologies as well as several other Fortune 500 companies.
    Chandramouleeswaran
    Chandramouleeswaran
    Adjunct Faculty at IIIT Bangalore
    He has 33+ years of experience in networking, embedded SW, ML. He is an Adjunct faculty at IIIT Bangalore and a visiting faculty at IIIT Lucknow.
    Georgios Ouzounis
    Georgios Ouzounis
    Head of ML Engineering
    Technologist and visionary with over 22 years of experience and serving as the head of ML Engineering at Atlas AI in California, USA
    Denis Rothman
    Denis Rothman
    AI Author, Speaker and Transformer Model Expert
    He is one of the most sought after names in the Field of ML/ AI. He is the author of the Transformers for NLP book and is a Foundation Model Expert.
    Arihant Jain
    Arihant Jain
    Head of Data Science & Risk
    Arihant is an expert in the field of Machine Learning technologies and is currently heading Data Science and Risk at IIFL Finance
    Usha Rengaraju
    Usha Rengaraju
    Chief of Research
    She hails from the prestigious Harvard as well as Columbia University. She is a unicorn data scientist and have over 10 years of industry experience
    Snehansu Sekhar Sahu
    Snehansu Sekhar Sahu
    Applied Scientist
    Snehansu is currently working as an applied scientist at Amazon . Prior to Amazon Snehansu was the Senior AI Researcher in ML & AI for Amex.
    Chiranjoy Chowdhuri
    Chiranjoy Chowdhuri
    Chief Analytics Officer
    Chiranjoy is a Data, Analytics and AI practitioner with 13 years’ experience and In his current role, he is the Global Head of Data and Analytics at Pidilite Industries
    Sajan Kedia
    Sajan Kedia
    Machine Learning Lead
    Sajan has extensive experience in the field of ML, Big Data, Data Science, and AI. He is the Machine learning lead at Myntra
    Ankit Jain
    Ankit Jain
    ML Engineering Manager
    Ankit is an experienced AI Researcher/Machine Learning Engineer and is currently works as engineering manager at Meta ( Facebook
    Rohit Ghosh
    Rohit Ghosh
    Founding Member & Chief Strategy Officer
    Rohit is a IIT-Bombay grad and currently Founding Member & Chief Strategy Officer of Qure.ai
    Gunjan Narulkar
    Gunjan Narulkar
    Director, AI/ML Product R&D
    Gunjan has extensive experience in the AI- Ml products and R&D and is currently working as a director at Fidelity Investments.

    77% Learners Achieve Career Benefits

    Learn more about successful career transitions in the
    Career Transition Handbook
    Saurav Kant Kumar
    Saurav Kant Kumar
    Bangalore 2 Years
    90%
    inc. in Salary
    I can put my money on this course on any given day and assure everyone that this is one course that stands apart from every other course in the market.
    Senior Systems Engineer
    Data Scientist
    Sagar Pavan
    Sagar Pavan
    Chennai 9 Years
    Though I have been in the Analytics and ML space for a few years now, the programme curriculum I went through did help me tremendously during the interview process.
    Big Data Analyst
    AI Engineer (Tech Lead)
    Chandra Shekar
    Chandra Shekar
    Bangalore 24 Years
    The Programme helped me in getting this role. They were impressed with the Programme curriculum. I will be working on detecting customer frauds and building chatbots. Whatever I have learnt through the programme will definitely help me ahead as well.
    Head of Delivery Operations
    Senior VP | Consumer Finance
    50%
    Avg. Salary Hike
    73L
    Highest Salary
    500+
    Career Transitions
    300+
    Hiring partners
    77%
    Learners Achieve Meaningful Career Benefits
    90%
    Programme Completion Rate
    Personalised Industry Session
    Sessions by an industry expert for a small group of 10-12 learners with similar profiles to discuss real life applications of concepts and personalised coaching
    Learn More
    High Performance Coaching
    Get a dedicated career coach to help you stay on track to achieve your career goals, coach you on your profile, and support you in your career journey.
    Learn More
    Career Mentorship Sessions (1:1)
    Get personalised career landscaping from experts to chart out best opportunities
    Learn More
    Interview Preparation
    Support in polishing your hard skills and soft skills for interview preparation
    Learn More
    Try the upGrad Learning Experience for FREE
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    upGrad Alumni

    Amarpal Singh
    Amarpal Singh
    Atul Kumar
    Atul Kumar
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    Akash Verma
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    Snehit Vemulapati
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    Soumya Kuttapa
    Snigdha Prakash
    Snigdha Prakash
    Shyam Kumar V N
    Shyam Kumar V N
    Shreyas Srivatsan
    Shreyas Srivatsan
    Santhosh Francis
    Santhosh Francis
    Jaya Priya
    Jaya Priya
    Mukund Kumar
    Mukund Kumar
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    Mirza Hashim
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    Mathew George
    Manshul Goel
    Manshul Goel
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    Kumar Vaibhav
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    Jai Singh Bhagat
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    Harsha Raikar
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    Rutuja Mowade
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    Ragul Tamilchemma
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    Digvijay Vyas
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    Aman Avilash
    Aman Avilash

    Student Reviews

    Angshuman Mukherjee
    Angshuman Mukherjee
    “For the thesis - In the initial 2 months, LJMU professors teach us about scientific research and it’s methodologies, the do’s and don’ts. They give a lot of stress to make sure we understand about research ethics. Post that, there is a process of submitting proposed research topics on ML and AI. These topics are evaluated and approved based on their feasibility and originality. Once the topic is finalized, for the next 4 months, we work with a research supervisor (mostly an AI researcher from reputed indian institutes) to build our thesis. At the end of the 4 months, we have to submit a thesis report and a presentation of our thesis, based on which we receive our final results.”
    Samarjit Adhikari
    Samarjit Adhikari
    “An M.Sc. degree will not only give you an edge over other but also enables you to prepare yourself for the job market.”

    Admission Process

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

    Step 1: Online eligibility test

    Step 1: Online eligibility test

    Fill out an application and take a quick 40 mins online test of 18 questions to assess your aptitude..

    Step 2: Review and Shortlisting Candidates

    Step 2: Review and Shortlisting Candidates

    Our faculty will review all applications considering the educational and professional background of an applicant and review the test scores where applicable. Following this, offer letters will be rolled out so you’re assured a great peer group to learn and network with.

    Step 3: Enrollment for Access to Prep Content

    Step 3: Enrollment for Access to Prep Content

    Make a quick block payment with assistance from our loan partners where required, receive immediate access to the prep content and begin your upGrad journey.

    Programme Fee - Indian Residents
    Starting at Rs 11,652 /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?

      By clicking Start Application, you agree to our terms and conditions and our privacy policy.

      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 50% 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.
      • Based on upGrad NPS response data obtained from ~1252 learners, between 2nd Oct'21 to 18th Oct'21 for upGrad courses*. The review was performed by Deloitte Touche Tohmatsu India LLP. upGrad is a platform to facilitate program delivery by educational institutions and is not a college or a university itself. *programs.upgrad.com/disclaimer_courselist

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