Certification in Data Science and Artificial Intelligence Program
Learn from IIT faculty and industry experts. 
Core DS/AI tools like Python, SQL, visualization, ML workflows, GenAI methods. 
Capstone: Build and present a real-world AI & data science solution end-to-end. 
Qualifier Test Date
February 15, 2026
Course Duration
6 months
Time Commitment
8-10 Hours/week
Eligibility
12th Pass and Above
Learning Mode
Online
2.2K+ students have already registered
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Qualifier Test Date
February 15, 2026
Course Duration
6 months
Time Commitment
8-10 Hours/week
Eligibility
12th Pass and Above
Learning Mode
Online
Why choose this course?
Master Data Science and Artificial Intelligence by IIT Faculty
Receive a Certificate of Completion from E&ICT Academy IIT Roorkee, recognizing your achievement.
An optional 3-day Campus Immersion for direct interaction with industry experts and peers.
Step into the rapidly evolving AI landscape by mastering Data Science and AI with hands-on expertise guided by top IIT faculty.
Access cutting-edge business analysis content, engaging simulations, and practical evaluations. Focus on real-time project implementation for hands-on mastery.
Work on hands-on projects and real-world AI scenarios, applying NLP and multi-agent frameworks to solve complex, industry-relevant problems.
Receive resume reviews, career coaching, and placement support to land your dream role. (Eligibility: 65% attendance & overall 70% marks; offered by Masai)
Certification from E&ICT Academy IIT Roorkee:
Receive a Certificate of Completion from E&ICT Academy IIT Roorkee, recognizing your achievement.
Campus Immersion:
An optional 3-day Campus Immersion for direct interaction with industry experts and peers.
Future-Proof Career Gateway:
Step into the rapidly evolving AI landscape by mastering Data Science and AI with hands-on expertise guided by top IIT faculty.
Advanced Curriculum:
Access cutting-edge business analysis content, engaging simulations, and practical evaluations. Focus on real-time project implementation for hands-on mastery.
Practical-Based Learning:
Work on hands-on projects and real-world AI scenarios, applying NLP and multi-agent frameworks to solve complex, industry-relevant problems.
Placement Opportunities:
Receive resume reviews, career coaching, and placement support to land your dream role. (Eligibility: 65% attendance & overall 70% marks; offered by Masai)
Certificate Eligibility: Minimum 65% overall attendance and 35% in the cumulative evaluation score.
What will you learn?
Drive your career forward by mastering Data Science and Machine Learning fundamentals. Learn to extract deep insights from complex data, build accurate predictive models, and become a portfolio-ready professional equipped to drive data-driven decision-making in any industry.
Toolkit
Course Details
Duration
6 Months
Course Mode
Online: Mon, Wed, & Fri (8:30 PM - 9:30 PM)
Certification
from E&ICT Academy, IIT Roorkee
- • Python Fundamentals: Build comfort with variables, data types, conditionals, loops, functions, and core data structures to write programs that manipulate real data.
- • Notebook Workflow: Use Jupyter/Colab to run experiments, document analysis, and package work as shareable deliverables.
- • Working with CSV & JSON: Read/write structured data, validate schemas, and fix common issues like missing values, wrong types, and inconsistent formats.
- • API Fundamentals: Use Python to fetch real-world data via REST APIs, handle status codes, authentication keys, pagination, and convert responses into usable datasets.
- • NumPy Essentials: Use arrays and vectorized operations for fast computation and numeric manipulation.
- • Pandas Core Operations: Perform filtering, sorting, grouping, aggregation, joins/merges, pivots, and date/time handling on datasets.
- • Data Cleaning & Preparation: Build repeatable workflows for missing values, duplicates, outliers, inconsistent categories, and messy text fields.
- • Exploratory Data Analysis (EDA): Ask structured questions, compute key metrics, and discover patterns that guide decisions or modeling.
- • SQL Fundamentals: Query relational data using joins, aggregations, subqueries, and filters to extract analysis-ready tables.
- • Applied SQL for Analytics: Use window functions for ranking, cohort-style analysis, and running totals.
- • Visualization for Decision-Making: Learn chart selection, avoid misleading visuals, and build clear plots that answer real questions.
- • Storytelling with Data: Convert analysis into a structured narrative with context, evidence, insights, and recommendations.
- • Math Foundations Used in DS: Learn transformations, scaling, logs/exponentials, vectors, and similarity intuition through practical examples.
- • Probability & Distributions: Build intuition for randomness and variability, and how distributions show up in real datasets.
- • Sampling & Estimation: Understand why samples mislead, how uncertainty arises, and how to reason about reliability of insights.
- • Hypothesis Testing & A/B Testing: Learn the logic behind experiments and how to avoid false conclusions.
- • Correlation vs Causation: Learn how misleading relationships happen and how to communicate limitations responsibly.
- • ML Workflow & Problem Framing: Convert questions into ML problems, define success metrics, and set up training/validation/testing correctly.
- • Regression Models: Build and evaluate regression systems, interpret errors, and improve results with better features and preprocessing.
- • Classification Models: Build classification systems and evaluate with precision/recall/F1, confusion matrices, and threshold tuning.
- • Tree-Based Models: Train decision trees and understand ensemble intuition (random forests / gradient boosting) for stronger real-world performance.
- • Feature Engineering & Pipelines: Create robust preprocessing + modeling pipelines that are reusable and less error-prone.
- • Model Improvement & Debugging: Detect leakage, handle imbalance, perform basic tuning, and run error analysis to systematically improve.
- • Prompt Engineering for Applications: Design prompts that follow instructions reliably, produce structured outputs, and handle edge cases with consistency.
- • LLM APIs with Python: Integrate LLMs into Python workflows, manage failures gracefully, and design clean input-output contracts.
- • Embeddings & Vector Search: Convert text into embeddings, build semantic search, and retrieve relevant context from large document sets.
- • RAG (Retrieval-Augmented Generation): Build grounded Q&A systems by combining retrieval with generation, and reduce hallucinations through chunking and retrieval strategy.
- • Unstructured Data to Insights: Extract themes, summaries, and actionable insights from documents like PDFs, policies, support tickets, and internal knowledge bases.
- • Build & Evaluate: Deliver a working solution with measurable outcomes and documented trade-offs.
Under The Guidance of
Prof. Sanjeev Manhas, Principal Investigator of E&ICT Academy, IIT Roorkee, is a distinguished academician, researcher, and innovator with extensive experience in academia, research, and industry. He ...
Prof. Sanjeev Manhas, Principal Investigator of E&ICT Academy, IIT Roorkee, is a distinguished academician, researcher, and innovator with extensive experience in academia, research, and industry. He ...
Our Instructors and Industry Mentors
Prof. Tharun Kumar Reddy Bollu is an Assistant Professor in the Department of Electronics & Communication Engineering at the Indian Institute of Technology Roorkee. He earned his B.Tech, M.Tech and Ph...
Prof. Pawan Goyal is a Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Kharagpur. He holds a Ph.D. in Computer Science from IIT Kanpur and has ove...
Dr. Indu Joshi has received a PhD from IIT Delhi. She was a postdoctoral researcher at Inria Sophia Antipolis, France and the Technical University of Munich, Germany. She is an INAE student member and...
Gaurav Kandel is a Data Scientist at FinBox with extensive experience across NIRA, KPMG India, and multiple AI mentorship roles. He frequently shares insights on practical machine learning topics—from...
Shubhendu Shishir is the Head of Engineering at Simplismart, where he is building a GenAI platform powering one of the fastest inference engines. With over 8 years of industry experience, he has previ...
Prof. Tharun Kumar Reddy Bollu is an Assistant Professor in the Department of Electronics & Communication Engineering at the Indian Institute of Technology Roorkee. He earned his B.Tech, M.Tech and Ph...
Prof. Pawan Goyal is a Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Kharagpur. He holds a Ph.D. in Computer Science from IIT Kanpur and has ove...
Dr. Indu Joshi has received a PhD from IIT Delhi. She was a postdoctoral researcher at Inria Sophia Antipolis, France and the Technical University of Munich, Germany. She is an INAE student member and...
Gaurav Kandel is a Data Scientist at FinBox with extensive experience across NIRA, KPMG India, and multiple AI mentorship roles. He frequently shares insights on practical machine learning topics—from...
Shubhendu Shishir is the Head of Engineering at Simplismart, where he is building a GenAI platform powering one of the fastest inference engines. With over 8 years of industry experience, he has previ...
Admission Process
Clear Qualifier Test
Clear the qualifier test to be eligible for the program
Complete Counselling
Only shortlisted candidates go through the counselling process
Start Learning
Learn from India's top educators and stand out from the crowd
Clear Qualifier Test
Clear the qualifier test to be eligible for the program
Complete Counselling
Only shortlisted candidates go through the counselling process
Start Learning
Learn from India's top educators and stand out from the crowd
Qualifier Test Details
To join this program, you must clear the qualifier test on your allotted date.
Test Topics
- Quantitative Aptitude
- Logical Reasoning
- Data Interpretation
- Verbal Ability
Registration Process
- Pay ₹99 and choose your slot
- Unlock free mock test and practice before your final exam
Things to remember
- Test duration : 60 minutes
- You can take the test only once at your allotted time & slot.
- The test must be taken on a desktop or laptop. Supported browsers (latest versions only): Google Chrome, Safari, Microsoft Edge, and Firefox.
Fee Structure
Qualifier Test Fee
(Non Refundable)
Registration Fee
(non-refundable)
Program Fee
(non-refundable)
Total Fees
Option 1
Upfront
(+ GST*)
Option 2
EMI (Through Our NBFC Partners)
(+ GST*)
*18% GST extra, as applicable
Our NBFC Partners
Who is this course for?
Designed for individuals aspiring to grow a high-impact career in Data Analytics and AI
- Kickstart a High-Growth Tech Career:- Get hands-on training in AI & Data Science from IIT professors and top industry experts.
- Stand Out in Campus Placements:- Build a strong foundation in Python, Machine Learning, and advanced AI tools to gain a competitive edge.
- Enhance Your Resume with Real-World Projects:- Work on practical, industry-relevant projects that demonstrate your skills and set you apart.
Top 1% Edge
Graduate job-ready with E&ICT Academy IIT Roorkee and in-demand skills that top employers value.
How is this course different from others?
The Future Of Data Science and Artificial Intelligence Is Here
of companies will integrate AI and ML tools to optimize their decision-making processes, improving efficiency and business outcomes.
of enterprises say AI and ML are crucial for gaining a competitive advantage in business and staying ahead in the market.
"“AI will be the most transformative technology of the 21st century. It will affect every industry and aspect of our lives.”"
About E&ICT Academy, IIT Roorkee
E&ICT Academy, IIT Roorkee: The Electronics & ICT Academy (E&ICT), supported by Meity, Govt. of India, aims to bridge the gap between industry demand and academic knowledge by delivering specialized, hands-on training and upskilling programs in emerging areas of the Information & Communication Technology and Electronics sector.
The Indian Institute of Technology (IIT) Roorkee:
A legacy of over 175 years. Established in 1847 as India's first engineering college, it became an IIT in 2001, excelling in engineering and technology.
Rankings:
IIT Roorkee consistently ranks among the top engineering and research institutions in India. In the NIRF India Rankings 2024, IIT Roorkee was ranked #6 in the 'Engineering' category and #8 in the 'Overall' category.
Strong Industry & Research Ecosystem:
With active collaborations, incubators, and innovation hubs, IIT Roorkee bridges academia and industry to drive real-world impact.
Industry-Focused Learning:
IIT Roorkee maintains strong ties with industries across its campus locations, providing students with opportunities for internships, real-world projects, and networking with business leaders.
How will Masai Help you?
How will Masai Help you?
Career Readiness and Portfolio Building
We will help you build a strong portfolio and equip you with the skills needed to become job-ready for the industry.
Real-Time Learning Ecosystem
Experience a constantly evolving curriculum with live classes and instant academic assistance, designed to keep pace with industry advancements.
Industry Integration and Projects
Participate in hands-on industry projects guided by expert mentors from IIT and top companies, ensuring practical and relevant skills development.
FAQs
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