High demand. Additional 200 seats added!
Certification in
Data Science and Artificial Intelligence Program
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
January 11, 2026
Course Duration
6 months
Time Commitment
8-10 Hours/Week
Eligibility
12th Pass and Above
Learning Mode
Online
Qualifier Test Date
January 11, 2026
Course Duration
6 months
Time Commitment
8-10 Hours/Week
Eligibility
12th Pass and Above
Learning Mode
Online
2.4K+ students have already registered
The Future Of Data Science and Artificial Intelligence Is Here
“AI will be the most transformative technology of the 21st century. It will affect every industry and aspect of our lives.”
“The pace of progress in artificial intelligence is incredibly fast.”
About E&ICT Academy, IIT Roorkee
- E&ICT 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.
Admission Process
Clear Qualifier Test
Clear the qualifier test to be eligible for the program
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Complete Counselling
Only shortlisted candidates go through the counselling process
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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.
Topics Covered
- • 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
- • The duration of the test is 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)
Option 1
Upfront
Option 2
EMI
(Through Our NBFC Partners)
Secure Seat Fee
(non-refundable)
₹4,000
₹4,000
Program Fee
(non-refundable)
₹46,000
₹5,878 x 9 months
Total
₹50,000
₹56,902
** 18% GST extra, as applicable
Our NBFC Partners
Who is this course for?
Anyone with a passion for building a career in Data Science and AI
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: 75% attendance & overall 70% marks; offered by Masai)
Certificate Eligibility: Minimum 75% overall attendance and 35% in the cumulative evaluation score.
How is the “Certification in Data Science and Artificial Intelligence Program” from E&ICT Academy, IIT Roorkee Different?
How is the “Certification in Data Science and Artificial Intelligence Program” from E&ICT Academy, IIT Roorkee Different?
This Programme
Other Programme
Combined Academic and Industry Mentorship
Learn from IIT/IIM professors and industry experts, ensuring a blend of theoretical knowledge and real-world insights.
Primarily led by academic faculty with limited industry exposure.
Student Support & Engagement
Dedicated student support, query resolution, continuous feedback, and interactive sessions via Zoom.
Support systems can vary, potentially lacking personalized guidance or real-time interaction.
Certification
Receive a prestigious certificate of completion from E&ICT Academy, IIT Roorkee.
Certifications may be generic or from less recognized institutions, offering less industry differentiation.
Hands-on AI Development
Builds deep, practical expertise by guiding you through end-to-end Machine Learning workflows, leveraging Python, Google Colab, and foundational data access tools like SQL.
Often focuses on theory with limited practical exposure, offering minimal engagement with cutting-edge AI.
Campus Immersion
A 3-day optional Campus Immersion at IIT Roorkee Campus.
No Campus immersion.
Placement Opportunities
Interview support and expert coaching to maximize job placement chances. (Eligibility: 75% attendance & overall 70% marks; offered by Masai)
Limited placement assistance; students often navigate job searches independently.
Features
This Programme
Other Institutes
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
Certification
From E&ICT Academy, IIT Roorkee
Module 1: Programming & Data Foundations
- 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.
Module 2: Data Analysis with NumPy & Pandas
- 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.
Module 3: SQL, Visualization & Data Storytelling
- 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.
Module 4: Maths & Statistics for Data Science (Applied)
- 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.
Module 5: Machine Learning
- 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.
Module 6: GenAI for Data Science
- 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.
Capstone Project
- Build & Evaluate: Deliver a working solution with measurable outcomes and documented trade-offs.
Our Instructor
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.
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.
Contact Us
Get started
Join the Program
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