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MS in Data AnalyticsMS in Project ManagementMS in Information TechnologyMasters Degree in Data Analytics and VisualizationMasters Degree in Artificial IntelligenceMBS in Entrepreneurship and MarketingMSc in Data AnalyticsMS in Data AnalyticsMS in Computer ScienceMaster of Science in Business AnalyticsMaster of Business Administration MS in Data ScienceMS in Information TechnologyMaster of Business AdministrationMS in Applied Data ScienceMaster of Business Administration | STEMMS in Data AnalyticsM.Sc. Data Science (60 ECTS)Master of Business AdministrationMS in Information Technology and Administrative Management MS in Computer Science Master of Business Administration MBA General Management-90 ECTSMSc International Business ManagementMS Data Science Master of Business Administration MSc Business Intelligence and Data ScienceMS Data Analytics MS in Management Information SystemsMSc International Business and ManagementMS Engineering ManagementMS in Machine Learning EngineeringMS in Engineering ManagementMSc Data EngineeringMSc Artificial Intelligence EngineeringMPS in InformaticsMPS in Applied Machine IntelligenceMS in Project ManagementMPS in AnalyticsMS in Project ManagementMS in Organizational LeadershipMPS in Analytics - NEU CanadaMBA with specializationMPS in Informatics - NEU Canada Master in Business AdministrationMS in Digital Marketing and MediaMSc Sustainable Tourism and Event ManagementMSc in Circular Economy and Sustainable InnovationMSc in Impact Finance and Fintech ManagementMS Computer ScienceMS in Applied StatisticsMaster in Computer Information SystemsMBA in Technology, Innovation and EntrepreneurshipMSc Data Science with Work PlacementMSc Global Business Management with Work Placement MBA with Work PlacementMS in Robotics and Autonomous SystemsMS in Civil EngineeringMS in Internet of ThingsMSc International Logistics and Supply Chain ManagementMBA- Business InformaticsMSc International ManagementMBA in Strategic Data Driven ManagementMSc Digital MarketingMBA Business and MarketingMaster of Business AdministrationMSc in Sustainable Global Supply Chain ManagementMSc Digital Business Analytics MSc in International HospitalityMSc Luxury and Innovation ManagementMaster of Business Administration-International Business ManagementMS in Computer EngineeringMS in Industrial and Systems EngineeringMSc International Business ManagementMaster in ManagementMSc MarketingMSc Business ManagementMSc Global Supply Chain ManagementMS in Information Systems and Technology with Business Intelligence and Analytics ConcentrationMSc Corporate FinanceMSc Data Analytics for BusinessMaster of Business AdministrationMaster of Business AdministrationMaster of Business AdministrationMSc in International FinanceMSc in International Management and Global LeadershipMaster of Business AdministrationBachelor of BusinessMaster of Business Administration 60 ECTSMaster of Business Administration 90 ECTSMaster of Business Administration 90 ECTSBachelor of Business AnalyticsBachelor of Information TechnologyMaster of Business AdministrationMBA Business AnalyticsMSc in Marketing Analytics and Data IntelligenceMS Biotechnology Management and EntrepreneurshipMSc in Luxury and Fashion ManagementMaster of Business Administration (90 ECTS)Bachelor of Business Administration (180 ECTS)B.Sc. Computer Science (180 ECTS) MSc in International Corporate Finance MSc in Sustainable Luxury and Creative IndustriesMSc Digital Marketing
For College Students

12600+

Students Empowered

Online

Format

-- months

Duration Recommended 15 hrs/week

300+

Hiring Partners

    Program Overview

    Key Highlights

    Only Online M.Sc in ML & AI for working professionals
    Only Online M.Sc in ML & AI for working professionals
    30+ Case Studies and Assignments
    30+ Case Studies and Assignments
    25+ Industry Mentorship Sessions
    25+ Industry Mentorship Sessions
    IIIT Bangalore & LJMU Alumni Status
    IIIT Bangalore & LJMU Alumni Status
    Job Assistance with Top Firms
    Job Assistance with Top Firms

    upGrad has been instrumental in helping us in finding candidates with key skill sets in Data Science and Analytics
    - Val S, Director at Animaker

    animaker

    Over 500 Careers Transformed

    Programming Languages and Tools

    LJMU

    IIIT Bangalore

    Master's Degree from LJMU
    Complete all the courses successfully to obtain this prestigious recognition from LJMU.
    Master's Degree from LJMU
    Click to zoom
    • Connect with Global network of Faculty from LJMU
    • Get access to complete digital library of LJMU
    • Earn a Master's degree same as on-campus degree at 1/10th the cost

    Top Skills You Will Learn

    Model Deployment, NLP, Deep Learning, Reinforcement Learningview more

    Job Opportunities

    Machine Learning Engineer, Data Scientist, AI Architect, Busview more

    Who Is This Program For?

    Engineers, Software and IT Professionals, Data Professionals

    Minimum Eligibility

    Bachelor's degree, with minimum 1 year work experience or a view more

    For international residents

    USD 2000

    Our Hiring Partners

    Empowering learners of tomorrow

    Over 2,300 students have completed this course and started working at their dream job, whats stopping you?

    Instructors

    Learn from leading Data Science faculty and industry leaders

    Dr. Gabriela Czanner
    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

    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

    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

    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
    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.
    Tricha Anjali
    Tricha Anjali

    Tricha Anjali

    Associate Dean
    Prof. Anjali has a Ph.D. from Georgia Tech as well as an integrated M.Tech. (EE) from IIT Bombay. She is currently the dean of IIIT-B
    Prof. S. Sadagopan
    Prof. S. Sadagopan

    Prof. S. Sadagopan

    Director
    Prof. Sadagopan is the Director of IIIT Bangalore. He has an M.S. and a Ph.D. from Purdue University as well as a B.E. (Hons) degree from Madras University.
    Prof. G. Srinivasaraghavan
    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.
    Anshuman Gupta
    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.
    Ankit Jain
    Ankit Jain

    Ankit Jain

    Sr. Research Scientist
    An alumnus of IIT Bombay, UCB, and Harvard Business School with over 9 years of experience.
    Ujjyaini Mitra
    Ujjyaini Mitra

    Ujjyaini Mitra

    Head of Analytics
    An alumnus of McKinsey and Co., Flipkart, and Bharti Airtel with over 11 years of experience.
    Mirza Rahim Baig
    Mirza Rahim Baig

    Mirza Rahim Baig

    Lead | Business Analytics
    Advanced analytics professional with 8+ years of experience as a consultant in the e-commerce and healthcare domains.

    Learning

    Download Brochure
    450+
    Hours of Content Learning
    12
    Case Study and Projects
    35+
    Live Sessions Overall

    Data Science Tool Kit

    4 Weeks
    1 Assignment
    • Introduction to Python
      6hr
    • Python for Data Science
      10hr 10min
    • Data Visualisation in Python
      5hr 5min
    • Maths for Data Science
      10hr
    • Data Analysis Using SQL
      7hr 40min
    • Advanced SQL
      9hr 10min

    Statistics and Exploratory Data Analytics

    5 Weeks
    2 Assignments
    • Analytics Problem Solving
      1hr 55min
    • Investment Case Study
      8hr 30min
    • Inferential Statistics
      12hr
    • Hypothesis Testing
      10hr 10min
    • Exploratory Data Analysis
      8hr 55min
    • EDA Case Study
      5hr 15min

    Machine Learning - I

    6 Weeks
    1 Assignment
    • Linear Regression
      13hr 15min
    • Assignment: Linear Regression
      6hr 15min
    • Logistic Regression
      7hr 50min
    • Naive Bayes
      7hr 15min
    • Model Selection
      4hr 45min

    Machine Learning - II

    7 Weeks
    1 Assignment
    • Model Selection - Practical Considerations
      3hr
    • Advanced Regression
      9hr 50min
    • Support Vector Machine (optional)
      8hr
    • Tree Model
      12hr
    • Boosting
      8hr 10min
    • Telecom Churn Case Study
      10hr 40min
    • Unsupervised learning: Clustering
      8hr 30min
    • Unsupervised Learning: Principal Component Analysis
      7hr 40min

    Natural Language Processing

    7 Weeks
    2 Assignments
    • Lexical Processing
      10hr
    • Syntactical Processing
      30hr
    • Semantic Processing
      10hr
    • Building Chatbots with RASA
      20hr

    Deep Learning

    8 Weeks
    2 Assignments
    • Intro to Neural Networks
      30hr
    • Convolutional Neural Networks
      20hr
    • Recurrent Neural Networks
      15hr
    • Gesture Recognition - Projects
      20hr
    • Neural Networks - Assignment
      20hr

    Reinforcement Learning

    6 Weeks
    2 Assignments
    • Classical Reinforcement Learning
      11hr 10min
    • Tic Tac Toe Assignment - Classical Reinforcement Learning
      6hr 40min
    • Deep Reinforcement Learning
      11hr 55min
    • Reinforcement Learning Project
      13hr 50min

    Graphical Model (Optional)

    4 Weeks
    1 Assignment
    • Introduction to Bayesian Methods
      20hr
    • Graphical Models
      30hr
    • Learning and Inference
      10hr

    Deployment and Capstone Projects

    6 Weeks
    2 assignments
    • Deployment
      30hr
    • 10 Capstone Projects to Choose From
      60hr

    Research Methodologies

    4 Weeks
    0 Assignment
    • What is research ?
    • Types of research
    • Research process
    • Data collection
    • Report writing and presentation
    • Scientific ethics

    Master's Dissertation

    16 Weeks
    0 assignment
    • Investigate dietary patterns and metabolite fingerprints of takeaway (fast) food consumers using PCA and clustering methods
    • Investigate a diagnosis of eye diseases using imaging ophthalmic data
    • Structure medical images with information geometry
    • Using Social media feed to place tweets regarding natural disasters on a map
    • Preventing credit card fraud through pattern recognition
    • Developing a recommender system for a Media giant
    • Risk modelling for Financial activities and Investment Banking

    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

    Train an agent to play Tic Tac Toe

    Use cutting-edge AI techniques to teach a computer to play a computer game like Tic Tac Toe.

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    Building a Chatbot

    Train a chatbot to classify sentences (customer queries, etc.) into categories and respond to them.

    Learn More

    Telecom Churn Analysis

    Solve the most crucial business problem for a leading telecom operator in India and Southeast Asia: predicting customer churn.

    Learn More

    Object Detection in Images

    Create and deploy complex neural networks to detect the occurrence of certain objects in images collected from various sources.

    Learn More

    Fraud Detection

    Decline fraud transactions on a credit card in real-time to minimize the losses so that customers are not charged for items that they did not purchase.

    Learn More

    Detect anomalies in chest X-Ray

    Imagine the reduction in the time spent by the doctor in analysing an X-ray if you can build an application that automatically detects anomalies in the X-rays.

    Learn More

    Gesture Recognition

    Make a Smart TV application which can control the TV with user’s hand gestures as the remote control

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    Recommendation system

    Build one of the most famous models used by Netflix, Walmart to recommend videos to the viewers.

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    Maximising profit of cab driver using RL

    Building an RL-based algorithm which can help cab drivers maximise their profits by improving their decision-making process on the field.

    Learn More

    Topic Modelling with Amazon reviews

    Identifying what features of the recently released product on Amazon, customers are talking about in their reviews

    Learn More

    Social Media Listening

    What if you could predict the popularity of a brand like upGrad in India?

    Learn More

    Speech Recognition

    Wonder how Google Speech to text works?

    Learn More

    Image captioning

    Build a model which will caption a given image and describe it in sentences in a detailed way like objects present, the actions they are doing, etc

    Learn More

    Sentiment Analysis on Twitter

    Extracting all the various narratives people have tweeted on Twitter regarding a particular topic and identifying their sentiments on the said topic.

    Learn More

    The upGrad Advantage

    Strong hand-holding with dedicated support to help you master Machine Learning.
    benefits

    Regular 1-on-1 interaction with Industry Experts

    Regular 1-on-1 interaction with Industry Experts
    • Discussions on career growth and industry expectations
    • Feedback on project work and assignments
    benefits

    Dedicated Student Success Mentors

    Dedicated Student Success Mentors
    • Help in learning plans ensuring consistent progress
    • Resolve non-academic queries for smooth learning experience
    benefits

    Doubt Resolution on Q&A Forums & WhatsApp Groups

    Doubt Resolution on Q&A Forums & WhatsApp Groups
    • Timely doubt resolution by qualified teachers
    • Regular live Q&A sessions with experts
    benefits

    Networking with Industry Experts & Peers

    Networking with Industry Experts & Peers
    • Live sessions by industry experts on relevant topics
    • Interaction with experts and peers in online and offline events translating into new job opportunities
    benefits

    Job Placement Assistance

    Job Placement Assistance
    • Personalised resume building exercise
    • Mock interviews with our hiring experts
    • Job Interviews with 300+ hiring partners
    Career Transition Handbook
    Learn more about successful career transitions from the PG Diploma in Machine Learning by IIIT Bangalore
    Download Now
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    Student Reviews

    Argho Chatterjee

    Argho Chatterjee

    Deep Learning Engineer, Samsung10 years experience
    Many of the basic concepts are being taught to build good intuition of Machine Learning models. Most of the basic math required for developing an intuition of the algorithm is covered.
    quora
    Detailed Review
    Deepesh Kothari

    Deepesh Kothari

    Software Engineer, Tarant Software2.5 years experience
    A great aspect of this course is the student mentors. These people are always there to help, support, and motivate the student to complete modules on time.
    linkedin
    Detailed Review
    Bhaskar Shankarling

    Bhaskar Shankarling

    Senior Software Engineer, Mindfire Solutions
    You will be notified of any interview opportunities in ML and they will share your profile with the recruiters. This really helps to kick start your career in Machine Learning / Deep Learning.
    quora
    Detailed Review
    Vignesh Ram

    Vignesh Ram

    This course puts you from a beginner level to a person who can understand and provide a machine learning solution to any given problem provided one has the passion to learn new techniques in a rigorous manner.
    quora
    Detailed Review