Master in Data Science with AI & ML
Master Data Analytics, Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and Business Intelligence (BI).
Tech Stack
Python, TensorFlow, PyTorch, Scikit-learn, NLP, Deep Learning, Tableau, Power BI
Course Duration
6 months | Level: Advanced
Course Fee
₹35,000 (Including all materials and support)
Placement Support
Mock interviews, portfolio creation, and job placement assistance
Live Classes
Wednesdays & Fridays, 6 PM IST
Expert Instructors
Dr. Arjun Ramesh, Kavitha Sundaram
Program Details
Technology Stack
Python, TensorFlow, PyTorch, Scikit-learn, NLP, Deep Learning, Tableau, Power BI
Language
English & Tamil
Learners
1500+
Duration
Weekdays: 6 Months | Weekend: 7 Months
Program Overview & Features
Comprehensive program designed to transform your skills with industry-relevant curriculum
Live Online Classes with lifetime recording access
24/7 Mentor Support
Placement Support (Resume Analysis, Portfolio Creation, Mock Interviews)
About Data Science Stack
Data Analytics
Comprehensive data analysis using Excel, Python, Tableau, and Power BI to extract actionable insights from complex datasets.
Machine Learning
Supervised and unsupervised learning algorithms including regression, classification, clustering, and reinforcement learning.
Deep Learning
Neural networks, CNNs, and advanced deep learning techniques using TensorFlow and Keras for complex problem solving.
Natural Language Processing
Text analysis, sentiment analysis, chatbots, and language models using NLP techniques and AI tools.
Course Syllabus
Comprehensive curriculum for Master in Data Science with AI & ML
Intro to A.I & Data Analytics
Excel for Data Analytics
Statistics & Probability
Business Intelligence (BI) Tools
Python for Data Analytics
Working with Datasets
Databases
Python for Machine Learning
Unsupervised Learning
Reinforcement Learning
Advanced ML & Hybrid
Artificial Intelligence Fundamentals
Computer Vision (CV)
Deep Learning
Natural Language Processing (NLP)
Total Modules
Topics Covered
Hands-On Learning
Tools Covered
Hackathon Projects
Build real-world applications that showcase your skills
Attendance System using Face Recognition (DL & ML)
Vehicle Detection and Tracking
Detecting Plant Leaf Diseases using Deep Learning
Analyzing Speech and Emotions Using CNN and NLP
Object Tracking based on Color with OpenCV
Market Overview & Eligibility
Average Salary in India
₹10 LPA to ₹23 LPA
(Industry Average in India)
Eligible Roles
- •Data Analyst
- •Data Scientist
- •Machine Learning Engineer
- •Business Analyst
- •AI/ML Research Scientist
- •Deep Learning Engineer
Who Should Enroll
- •Aspiring Data Scientists
- •Students/Recent Graduates
- •Working Professionals looking to upskill
- •Analytics Professionals
- •Tech Enthusiasts
Your Learning Journey
A step-by-step roadmap to master this course
Data Analytics
Excel, Python, Tableau, Power BI
Data Analytics
Excel, Python, Tableau, Power BI
Statistics
Probability, hypothesis testing
Statistics
Probability, hypothesis testing
Machine Learning
Supervised & unsupervised algorithms
Machine Learning
Supervised & unsupervised algorithms
Deep Learning
Neural networks and CNNs
Deep Learning
Neural networks and CNNs
NLP & AI
Language processing and chatbots
NLP & AI
Language processing and chatbots
Capstone Projects
Real-world applications
Capstone Projects
Real-world applications
Learning Steps
Weeks of Content
Lifetime Access
Course Fee
Registration Fee
Tuition Fee
Total Fee
Note: Registration fee is Non-Refundable. It is refundable only if your profile is rejected during the Quick2Learn EdTech Initial Screening Process.