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M.Sc. in Machine Learning and Artificial Intelligence 

  • Offered byupGrad
  • Private Institute
  • Estd. 2015

M.Sc. in Machine Learning and Artificial Intelligence
 at 
upGrad 
Overview

Equip with a robust understanding of machine learning and AI principles, as well as the ability to apply these concepts to real-world scenarios

Duration

18 months

Total fee

5.60 Lakh

Mode of learning

Online

Official Website

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Course Level

PG Degree

M.Sc. in Machine Learning and Artificial Intelligence
 at 
upGrad 
Highlights

  • Earn a degree after completion of the course
  • 15+ Case Studies and Projects for better learning
  • No Cost EMI Options Available
  • Daily Doubt Resolution Support
Read more
Details Icon

M.Sc. in Machine Learning and Artificial Intelligence
 at 
upGrad 
Course details

Who should do this course?

 Individuals with a bachelor’s degree in computer science, engineering, mathematics, statistics, or related fields who wish to specialize in machine learning and AI

 Professionals in the tech industry looking to deepen their expertise and advance their careers in machine learning and AI

What are the course deliverables?

 

Supervised learning

Unsupervised learning

Semi-supervised and self-supervised learning

Neural networks

Convolutional neural networks (CNNs)

Recurrent neural networks (RNNs) and LSTMs

Generative adversarial networks (GANs)

 

More about this course

The Master of Science in Machine Learning & AI is an advanced graduate program designed to provide students with a deep understanding of the principles, techniques, and applications of machine learning and artificial intelligence.

This program covers a comprehensive range of topics, including fundamental theories, cutting-edge algorithms, and real-world implementations

Students will gain hands-on experience with state-of-the-art tools and technologies, preparing them to address complex problems and drive innovation across various sectors such as healthcare, finance, robotics, and more

M.Sc. in Machine Learning and Artificial Intelligence
 at 
upGrad 
Curriculum

Course 1

EDA + Welcome

Intro to Git & Github

Lending club case study

Inferential Stats

Hypothesis Testing

 

Course 2

Linear Regression Module

Linear Regression Module

Linear Regression Assignment: Bike sharing company(demand regression)

Logistic Regression

Naive Bayes

Model Selection

 

Course 3

Advanced Regression

Advance regression assignment + SVM (Optional)

Tree Models

Random Forests + Practical Considerations

Boosting - 1

Unsupervised Clustering

PCA

 

Course 4

Introduction to Neural Networks - Part 1

Introduction to Neural Networks - Part 2

Convolutional Neural Networks

Assignment: Convolutional Neural Networks

CNN: Practical Considerations

Recurrent Neural Networks

Gesture Recognition - Project

 

Course 5

NLP - Lexical Processing

NLP - Syntactic Processing

NLP Assignment - Syntactic Processing

NLP - Semantic Processing

Ticket classification Project

Buffer - Skill test (NLP)

 

MLOps Elective

Pre-Requisite Module

Introduction to MLops

Designing Machine Learning Systems

Experimenting with Data and Model using MLflow

Automating and Orchestrating pipelines with Airflow

Building continuous learning infrastructure

MLOps Project

 

Generative AI Elective

Advanced NLP - Introduction to Attention Mechanism

Advanced NLP - Introduction to Transformers

Fundamentals of Generative AI, ChatGPT & Prompt Engineering using Non Reasoning, Chain of Thought & Advanced Techniques

Product Development using OpenAI APIs, Fine Tuning using STaR technique in Python

 

Topics (1)

Capstone

 

Research Methodologies

Introduction to Research and Research Process

Research Design

Literature Reviewing

Research Project Management

Report Writing and Presentation Skills

Scientific Ethics

 

Master's Dissertation

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

 

Faculty Icon

M.Sc. in Machine Learning and Artificial Intelligence
 at 
upGrad 
Faculty details

S. Anand
An alumnus of IIT Madras, IIM Bangalore, and LBS London. Anand is among the top 10 data scientists in India with 20 years of experience.
Dr.Janakiram D.
Dr. Janakiram D., a PhD, at IIT Madras heads and coordinates the research activities of the Distributed & Object Systems Lab.
Ujjyaini Mitra
An alumnus of McKinsey and Co., Flipkart, and Bharti Airtel with over 11 years of experience
Mirza Rahim Baig
Advanced analytics professional with 8+ years of experience as a consultant in the e-commerce and healthcare domains.

M.Sc. in Machine Learning and Artificial Intelligence
 at 
upGrad 
Placements

ParticularsStatistics (2021)
Highest SalaryINR 73.00 Lakh
Lock IconTop Recruiters for upGrad
Accenture
Adobe
Amazon
American Express
AZB and Partners
CapGemini
Deloitte
Flipkart
Genpact
HCL
HSBC
IBM
ICICI
IDFC
Infosys
JP Morgan Chase
Khaitan & Co
Kotak Bank
Make My Trip
McKinsey
Mind Tree
Myntra
Ola Cabs
Oracle
PayTM
pwc
SalesForce
Standard Chartered bank
Star Plus
TATA Consultancy Services
TCS
Trilegal

M.Sc. in Machine Learning and Artificial Intelligence
 at 
upGrad 
Entry Requirements

General
GraduationUp Arrow Icon
  • 50%
Online Eligibility TestUp Arrow Icon
  • N/A
Work ExperienceUp Arrow Icon
  • Minimum: 24 months
Other eligibility criteriaUp Arrow Icon

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M.Sc. in Machine Learning and Artificial Intelligence
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