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Master of Science in Machine Learning & AI
Learn in-demand skills online such as Deep Learning, NLP, Reinforcement Learning, work on 12+ industry projects & research & write your thesis. Start your ML & AI journey today at Rs.11,984 per month.
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InternationalLearners
-- Months*
Duration Recommended 15 hrs/dayWES
Recognised77%
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.
EligibilityIndia's #1 Technical University (Private)
Source - India Today, 2021Get Positive Career Growth
5 out of 6 LearnersBatch StartDate
Coming SoonProgramme Overview
Key Highlights
Designed for Working Professionals
6 Practical Hands-on Capstone Projects
15+ Case Studies and Assignments
Executive PG Programme from IIIT Bangalore & Alumni Status
Dedicated Student Success Mentor & Career Mentor for 360 Degree Support
Live Coding Classes & Profile Building Workshops
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
upGrad has been instrumental in helping us in finding candidates with key skill sets in Data Science and Analytics
- Val S, Director at 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.
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20 Languages, Tools & Libraries
Master's Degree from LJMU
Complete all the courses successfully to obtain this prestigious recognition from LJMU.
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- 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 Learning15+
Case Studies and Assignments90
Live Sessions11
Coding AssignmentsPre-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
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
Faculty - Computer Science
A Senior faculty of Engineering and Technology at LJMU who has multiple publications in the healthcare domain
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
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
Dean | Academics
Prof. Chandrashekar has a Ph.D. from Mississippi State University and over 10 years of experience in several multinational organisations.
Debabrat Das
Director, IIITB
He is PI and nodal officer of the project under the National Mission for Interdisciplinary Cyber-Physical Systems.
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
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
Head of Analytics
An alumnus of McKinsey and Co., Flipkart, and Bharti Airtel with over 11 years of experience.
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
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
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.
Career Assistance
- Career Mentorship Sessions (1:1)
- High Performance Coaching (1:1)
- AI Powered Profile Builder
- Interview Preparation
Practical Learning and Networking
- Networking & Learning Experience
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
“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."
Detailed Review
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.”
Detailed Review
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