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For College Students

85+ Countries

International
Learners

-- Months*

Duration Recommended 15 hrs/day

WES

Recognised

77%

Learners Achieve Career Benefits

- Bachelor’s degree + 50%
- Successful completion of the Executive PG Program in Machine Learning & AI from IIITB mandatory. Min. 1 year work exp. in tech domains preferred.

Eligibility

India's #1 Technical University (Private)

Source - India Today, 2021

Get Positive Career Growth

5 out of 6 Learners

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    Programme Overview

    Key Highlights

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

    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

    Minimum Eligibility

    Bachelor’s Degree with 50% or equivalent passing marks. Miniview more

    Who Is This Programme For?

    Ideal for Engineers, Software & IT Professionals, Data Profeview more

    Industry Relevant Learning

    Machine Learning, Deep Learning, Computer Vision, Natural Laview more

    Job Opportunities

    Data Engineer, Data Scientist, Machine Learning Engineer, MLview more

    Syllabus

    Experience 750+ hrs of best-in-class content by leading faculty & industry experts. 

    Download Syllabus

    20 Languages, Tools & Libraries

    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

    77% Learners Achieve Career Benefits

    Empowering learners of tomorrow

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

    Placement Support

    Your career need to grow with you!

    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

    High Performance Coaching (1:1)

    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.

    Jobs on Career Centre

    Career Centre offering upGrad jobs across experience levels and CTC ranges.

    Interview Preparation

    Support in polishing your hard skills and soft skills for interview preparation

    Career Mentorship Sessions (1:1)

    Get personalised career landscaping from experts to chart out best opportunities

    Profile Builder (AI Powered)

    An easy to use Resume, LinkedIn and Cover letter preparation tool.

    Syllabus

    Download Brochure
    750+
    Hours of Learning
    15+
    Case Studies and Assignments
    90
    Live Sessions
    11
    Coding Assignments

    Pre-Program Preparatory Content

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

    Statistics and Exploratory Data Analytics

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

    Machine Learning - I

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

    Machine Learning - II

    7 Weeks
    • 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

    Deep Learning

    8 Weeks
    • Intro to Neural Networks
    • Convolutional Neural Networks - Industry Applications
    • Convolutional Neural Networks - Assignment
    • Recurrent Neural Networks
    • Neural Networks Project - Gesture Recognition

    Natural Language Processing

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

    ELective 1: DL with MLops

    10 Weeks
    • 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)

    Elective 2: NLP with Mlops

    10 Weeks
    • 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)

    Elective 3: AI Strategy

    10 Weeks
    • 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

    Capstone

    4 weeks
    • Capstone
    • 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

    Reinforcement Learning (Optional)

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

    Research Methodologies

    8 Weeks
    0 Assignment
    • Introduction to Research and Research Process
    • Research Design
    • Literature Reviewing
    • Research Project Management
    • Report Writing and Presentation Skills
    • 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

    Telecom Churn Analysis

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

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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 numerical Tic Tac Toe.

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    Classification of Customer Complaints

    Create a solution that will help in identifying the type of complaint ticket raised by the customers of a multinational bank.

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    Credit Card Fraud Detection

    Build a machine learning model capable of detecting fraudulent transactions. Here you have to predict fraudulent credit card transactions with the help of machine learning models.

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    Melanoma Detection Assignment

    Build a neural network from scratch in Tensorflow to identify the type of skin cancer from image.

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    Gesture Recognition

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

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    News Recommender System

    Build a model to using the concepts of natural language processing and recommender systems to recommend news stories to users on a popular news platform.

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    Maximizing profit of cab driver using RL

    Learners will use the Markov Decision Process & Q-Learning to build an RL agent that learns to choose the best request so as to maximize the total profit earned by the agent that day.

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    Custom Entity detection in Healthcare data

    You will build a custom NER to get the list of diseases and their treatment from a medical healthcare dataset.

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    Eye for the Blind

    Build a model that can help any visually impaired person in understanding image present before them. It is a deep learning model which can explain the content of an image in the form of speech.

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    Sentiment analysis based Product Recommender system

    Build a sentiment analysis based product recommendation system to recommend the similar products to the users. Sentiment analysis is used to fine tune the product recommendation system.

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    Sales Forecasting

    Predict the sales for a european pharma giant using a host of different types of variables. Apply VAR and VARMAX models to build the appropriate model.

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    Style Transfer using GAN's

    Build a Model for converting MRI images from one type (T1) into other (T2) and vice versa. CycleGAN model is used for producing T2 type MRI images given T1 type input MRI images.

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    Machine Translation System

    You will build an attention-based neural machine translation model translating from one language to another.

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    Face Mask Detection

    Create a custom object detector using the YOLO algorithm to detect the presence of face masks in the images of different people.

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    Instructors

    Learn from leading ML & AI 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.
    Debabrata Das
    Debabrata Das

    Debabrata Das

    Director, IIITB
    He is PI and nodal officer of the project under the National Mission for Interdisciplinary Cyber-Physical Systems.
    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.
    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.
    Hindol Basu
    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.
    S. Anand
    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.

    Benefites with upGrad

    benefits

    Learning Support

    Learning Support
    • Industry Expert Guidance
    • Student Support: Student Support is available 7 days a week, 24*7 You can write to us via studentsupport@upgrad.com or for urgent queries, use the "Talk to Us" option on the Learn platform.
    benefits

    Career Assistance

    Career Assistance
    • Career Mentorship Sessions (1:1)
    • High Performance Coaching (1:1)
    • AI Powered Profile Builder
    • Interview Preparation
    benefits

    Practical Learning and Networking

    Practical Learning and Networking
    • Networking & Learning Experience
    benefits

    Job Opportunities

    Job 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

    Note

    *Programme length implies 18 months of learning and full programme duration may vary depending on university.

    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."
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    Detailed Review
    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.”
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    Detailed Review

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