MSc in Machine Learning and AI - IIIT Bangalore and LJMU

Get a Master of Science in ML and AI from LJMU with a Python Bootcamp

  • Complete access to LJMU’s digital library for research and writing dissertation 
  • Receive 1:1 personalized career mentorship sessions with industry experts 
  • Live sessions to cover ChatGPT, Open AI, Dall, Midjourney and more tools 
Training 5 or more people? Get a Quote
  • 750 + Hours of Learning
  • 15 + Case Studies and Assignments
  • 6 + Practical Capstone Projects

Master Advanced AI Techniques

Learn in-demand skills such as Deep Learning, NLP, Reinforcement Learning & work on 12+ industry projects, multiple programming tools and a dissertation. Start your ML and AI journey today. The program comes with a round-the-clock student support all seven days of the week. You will get support from dedicated student success mentors and career mentors.

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Program Highlights

  • 90 Live Learning Sessions

  • 750+ Hours of Learning 

  • 6 Capstone Projects

  • 15+ Case Studies and Assignments 

  • 1:1 Career Mentorship Sessions 

  • IIIT Bangalore Alumni Status 

  • Daily Doubt Resolution Support

  • 20 Tools, Languages, and Libraries

The upGrad Advantage

Industry Mentors

Receive unparalleled guidance from industry mentors, teaching assistants and graders. 

Student Support

Get 24*7 access to student support team for handling your queries via email or callback requests. 

Expert Feedback

Personalized feedback on assignments and projects, regular live sessions by experts to clarify doubts. 

Doubt Resolution

Timely doubt resolution by industry experts, 100% verified responses to ensure quality learning. 

Career Services

Get mentored by an industry expert and receive personalized feedback for your career journey.

Job Opportunities

Gain exclusive access to upGrad's Job Opportunities portal and gain an edge in the application process.

prerequisites for MSc in Machine Learning and AI – IIIT Bangalore and LJMU

Prerequisites

  • 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. 

Who Should Attend

Engineers

IT Professionals

Data Professionals

IT Professionals

Transform Your Workforce

Develop Talent in Machine Learning and AI

Develop practical knowledge and skills in Machine Learning and AI. Leverage the skills to usher the organization into a more advanced era. 

  • Practical Capstone Projects  
  • In-person Learning with Industry Experts 
  • Designed for Working Professionals 

500+ Clients

Curriculum

Topics:

  • Introduction to Python 
  • Python for Data Science 
  • Data Visualisation in Python 
  • Data Analysis Using SQL (Optional) 
  • Advanced SQL and Best Practices (Optional) 
  • Data Analysis in Excel (Optional) 
  • Analytics Problem Solving (Optional) 
  • Math for Machine Learning 

Topics:

  • Exploratory Data Analysis 
  • Cloud Essentials: Intro to Git and GitHub 
  • Investment Assignment 
  • Inferential Statistics 
  • Hypothesis Testing 
  • Lending Club Case Study 

Topics:

  • Linear Regression 
  • Linear Regression Assignment 
  • Logistic Regression 
  • Naive Bayes 
  • Model Selection 

Topics:

  • Advanced Regression 
  • Advanced Regression Assignment 
  • Support Vector Machine (Optional) 
  • Tree Models 
  • Model Selection - Practical Considerations 
  • Boosting 
  • Unsupervised Learning: Clustering 
  • Unsupervised Learning: Principal Component Analysis 
  • Telecom Churn Case Study 

Topics:

  • Introduction to Neural Networks 
  • Convolutional Neural Networks - Industry Applications 
  • Convolutional Neural Networks - Assignment 
  • Recurrent Neural Networks 
  • Neural Network Project - Gesture Recognition 

Topics:

  • Lexical Processing 
  • Syntactical Processing 
  • Syntactic Processing - Assignment 
  • Semantic Processing 
  • Case Study: Classifying Customer Complaint Tickets

Topics:

  • Cloud Essentials: Intro to AWS 
  • Working with AWS: case study 
  • MLOps: Introduction 
  • MLOps: Data Lifecycle 
  • MLOps: Model Lifecycle 
  • MLops Assignment 
  • Advanced CV 
  • MLOps + Deployment: DL (Theory) 
  • MLOps + Deployment: DL (assignment) 

Topics:

  • Cloud Essentials: Intro to AWS 
  • Working with AWS: case study 
  • MLOps: Introduction 
  • MLOps: Data Lifecycle 
  • MLOps: Model Lifecycle 
  • MLops Assignment 
  • Advanced NLP 
  • MLOps + Deployment: NLP (Theory) 
  • MLOps + Deployment: NLP (assignment)

Topics:

  • Cloud Essentials: Intro to AWS 
  • Working with AWS: case study 
  • MLOps: Introduction 
  • MLOps: Data Lifecycle 
  • MLOps: Model Lifecycle 
  • MLOps Assignment 
  • AI Strategy Framework, Structured Problem Solving/ Data Storytelling 
  • Mapping ML with Data architecture strategy 
  • Executing AI Strategy 
  • AI strategy: Assignment 

Projects:

  • News Recommender System 
  • Credit Card Fraud Detection 
  • Eye for Blind - (Image Captioning) 
  • Sentiment analysis based Product Recommender system 
  • Sales forecasting 
  • Style Transfer using GAN's 

Topics:
  • Classical Reinforcement Learning 
  • Assignment -Classical Reinforcement Learning 
  • Deep Reinforcement Learning 
  • Reinforcement Learning Project

Topics:

  • Introduction to Research and Research Process 
  • Research Design 
  • Literature Reviewing 
  • Research Project Management 
  • Report Writing and Presentation Skills 
  • Scientific Ethics 


Topics 

  • 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 

Frequently Asked Questions

Program FAQs

This programme is for you if you are a: 

Data Scientist or Senior Data Analyst: If you are comfortable with data wrangling, have implemented statistical or machine learning models in the past, or if you have any prior experience as a working professional. You should also have some experience with R/Python/Scala. 

Statistician: If you received formal education in statistics or mathematics or if you have any prior working experience.  

Data Engineer/Big Data Engineer: If you have any prior experience in creating data pipelines/handling data warehouses and you have created ETL procedures. In addition, you should be familiar with various frameworks and tools like Hadoop and Spark. 

Software Developer: If you have prior experience on creating and deploying software/apps, you are comfortable with object-oriented programming and know C/C++/Java/Python or a similar language. 

The programme will benefit you in different ways depending on your prior experiences: 

Data Scientist or Senior Data Analyst: The programme will familiarise you with the advancements in ML and AI. It will also help you understand the mathematics behind algorithms and how you can modify them to suit your needs so that you can transition to a Senior Data Science or Machine Learning role. 

Statistician/Mathematician: Apart from familiarising you with the advancements in ML and AI, the programme will help you understand how to define a structured approach to solve a business problem, and equip you with the right tools so that you can transition to a Machine Learning or Data Science role. 

Data Engineer/Big Data Engineer: The programme will set up a solid foundation of Statistics, Machine Learning, and AI along with problem-solving skills so that you can solve enterprise-level problems. It will build upon your existing knowledge of various tools to make you a Full-Stack Machine Learning or Data Science professional. 

Software Developer: The programme will help you create a strong foundation of Statistics, Machine Learning, and Business Understanding. It will leverage your existing knowledge of programming and expand the technologies you are familiar with so that you can become a well-rounded Machine Learning professional. 

Eligibility FAQs

You need a Bachelor's Degree preferably in a Mathematical/ Statistical background with 50% (or equivalent). Successful completion of the Executive PGP in Machine Learning and AI from IIITB. 

It is recommended that you have at least one year of work experience in programming/analytics. 

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 of Suitable 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: 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.