BTech in AI & Data Analytics

We are delighted to introduce our newly minted BTech course in AI & Data Analytics (AIDA), an exciting journey into the realms of data science and artificial intelligence. BTech AIDA is meticulously crafted to equip students with the key skills and knowledge necessary to thrive in the dynamic landscape of modern technology. This unique programme is designed to cultivate expertise in diverse facets of AI and data analytics, offering a panoramic view of its applications across industries.

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Key Learning Outcomes

At the heart of AIDA lie nine key outcomes, each serving as a pillar upon which students will build their proficiency:

1

Mathematical Foundations

Delve deep into the mathematical underpinnings of data science and artificial intelligence, laying a robust groundwork for advanced analysis and modelling.

2

ML / AI Models

Explore a spectrum of models, ranging from mathematical and statistical to network architectures, empowering students to develop sophisticated solutions to complex problems.

3

Learning Algorithms and Statistical Inferencing

Master the art of algorithmic design and statistical inference, essential for extracting meaningful insights from vast datasets.

4

Programming Skills

Hone programming skills tailored for crafting cutting-edge data science and AI solutions, leveraging the latest tools and languages.

5

Data Acquisition and Pre-processing

Learn the intricacies of acquiring, pre-processing, and curating data, essential for ensuring its quality and relevance in analytical endeavors.

6

Systems Thinking

Cultivate a systems thinking mindset crucial for deploying machine learning solutions effectively within real-world contexts.

7

Mathematical Modeling and Simulation

Harness the power of mathematical modelling, computational methods, and simulation techniques to simulate and analyze complex systems.

8

Application to Real-world Problems

Apply data analytics and AI techniques to tackle real-world challenges across diverse domains, fostering innovation and impact.

9

Fair and Responsible AI

Embrace the principles of fairness and responsibility in AI development, ensuring ethical and equitable deployment of technology.

AIDA offers flexibility, allowing students to tailor their learning journey through a wide range of electives. From Speech & Language Technology and Computer Vision to Applications in Control & Detection and Time-Series Analysis, students can explore their personal passions while building expertise in their chosen domains.

The core curriculum provides a comprehensive foundation in AI and data analytics, covering essential topics such as linear algebra and calculus, machine learning, deep learning, and reinforcement learning. This robust toolkit ensures students are well-equipped to tackle complex challenges in the field.

Furthermore, practical experience is ingrained into the curriculum through laboratory sessions, workshops, and real-world projects, ensuring students graduate not only with theoretical knowledge but also with hands-on expertise ready for immediate application in the industry.

Join us on this transformative journey into the realm of AI and data analytics, where innovation knows no bounds, and the possibilities are limitless. Welcome to AIDA, where the future is waiting to be shaped by your brilliance!

Detailed Curriculum

Semester I

CourseTypeCategoryCredits
Foundations of Linear AlgebraCoreScience9
Calculus for EngineersCoreScience9
Programming and Data StructuresCoreComputation9
Programming LaboratoryCoreComputation6
Basics of Engineering PrinciplesCoreEngineering9
Life Skills ICoreGeneral4
Ecology and EnvironmentCoreGeneral2
NSO / NCC / NSSElectiveGeneral2
Recreation IElectiveGeneral2
Workshop ICoreEngineering3
CourseTypeCategoryCredits
Introduction to Computational ChemistryCoreScience9
Probability & Statistics for EngineersCoreScience10
Optimization for EngineersCoreEngineering9
Optimization Lab*CoreEngineering6
Life Skills IICoreGeneral2
Recreation IICoreGeneral2
NSO / NCC / NSSElectiveGeneral2
Computational Methods for DSCoreProfessional10
CourseTypeCategoryCredits
Introduction to Computational PhysicsCoreScience9
Machine Learning ICoreProfessional9
Machine Learning LabCoreProfessional6
Introduction to Computational BiologyCoreScience9
Data Curation and VisualizationCoreProfessional9
Entrepreneurship CourseCoreManagement9
CourseTypeCategoryCredits
Algorithms for Data ScienceCoreProfessional9
Introduction to Computer SystemsCoreProfessional9
Artificial IntelligenceCoreProfessional9
AI LabCoreProfessional6
Physics ElectiveElectiveScience9
Free (Unallotted) ElectiveElectiveFree9
CourseTypeCategoryCredits
DatabasesCoreProfessional9
Machine Learning IICoreProfessional9
ML ops LabCoreProfessional6
Core Basket - IElectiveProfessional9
Dept. ElectiveElectiveProfessional9
Deep LearningCoreProfessional9
DL LabCoreProfessional6
CourseTypeCategoryCredits
Free (Unallotted) ElectiveElectiveFree9
Free (Unallotted) ElectiveElectiveFree9
Humanities CourseElectiveHumanities9
Free (Unallotted) ElectiveElectiveFree9
Free (Unallotted) ElectiveElectiveFree9
CourseTypeCategoryCredits
Online & Reinforcement LearningCoreProfessional9
Core Basket - IIElectiveProfessional9
Responsible AICoreProfessional9
Dept. ElectiveElectiveProfessional9
Humanities ElectiveElectiveHumanities9
Project ICoreProfessional9
CourseTypeCategoryCredits
Project II / ElectiveElectiveProfessional18
ElectiveElectiveFree9
Professional EthicsCoreGeneral2
Humanities ElectiveElectiveHumanities9