4-Year B.S. Programme in Computer Science & Data Analytics - IIT Patna BS CSDA

4-Year B.S. Programme in Computer Science & Data Analytics

IIT Patna | Centre for Educational Technology (CET) — Course Structure

✓ Cross-Verified with Official CET IIT Patna Curriculum

पाठ्यक्रम परिचय (Programme Overview)

IITP-BS-CSDA-Course-Structure

यह 4-Year B.S. Programme, IIT Patna के Hybrid Mode में संचालित होता है, जिसमें प्रथम वर्ष के अंत में Certificate, द्वितीय वर्ष के अंत में Diploma, और चतुर्थ वर्ष के अंत में पूर्ण B.S. Degree प्रदान की जाती है। यह संरचना Computer Science की Foundational Subjects के साथ-साथ Data Analytics, Machine Learning और Statistical Modeling में गहन विशेषज्ञता प्रदान करती है।

This 4-Year B.S. Programme runs in IIT Patna's Hybrid Mode, offering a Certificate after Year 1, a Diploma after Year 2, and the full B.S. Degree after Year 4. The structure blends Foundational Computer Science subjects with deep specialization in Data Analytics, Machine Learning, and Statistical Modeling.

Year 1 — Certificate Module

Semester I

Total Credits: 19

Code	Course Name	L-T-P-C
BO CDA 101	Mathematics - I	3-1-0-4
BO CDA 103	Foundations of Computer Science	3-1-2-5
BO CDA 105	Foundations of Data Analytics	3-1-2-5
BO CDA 107	Foundations of English for Professionals	3-2-0-5

Semester II

Total Credits: 20

Code	Course Name	L-T-P-C
BO CDA 102	Mathematics - II	3-1-0-4
BO CDA 104	Programming and Data Structures with Python	3-1-2-5
BO CDA 106	Numerical Methods for Data Science	3-1-2-5
BO CDA 108	Capstone Project - I	0-0-12-6

Year 2 — Diploma Module

Semester III

Total Credits: 19

Code	Course Name	L-T-P-C
BO CDA 201	Statistics for Data Science	3-1-2-5
BO CDA 203	Design of Algorithms	3-1-2-5
BO CDA 205	Machine Learning Techniques	3-1-2-5
BO CDA 207	Financial Economics	3-1-0-4

Semester IV

Total Credits: 20

Code	Course Name	L-T-P-C
BO CDA 202	Database Management	3-1-2-5
BO CDA 204	Computer Organization	3-1-2-5
BO CDA 206	Advanced Machine Learning Techniques	3-1-2-5
BO CDA 208	Web Development and App Design	3-1-2-5

⚠ Mandatory — BO CDA 210: Summer Industry Project (12 Credits)

Industry/Contemporary Problem पर आधारित Project, Diploma Award और/या Degree Module (Year 3) में Entry के लिए अनिवार्य है। यह Chaturth Semester के बाद अधिकतम तीन महीनों तक चलता है, Academia/Industry Mentor की देखरेख में, और अंतिम Project Report तथा Presentation के आधार पर Evaluate किया जाता है।

Year 3 — Degree Module (Part I)

Semester V

Total Credits: 21

Code	Course Name	L-T-P-C
BO CDA 301	Computer and Network Security	3-1-2-5
BO CDA 303	Operating Systems	3-1-2-5
BO CDA 305	Artificial Intelligence Techniques	3-1-2-5
BO CDA 307	Industrial and Organizational Psychology	3-0-0-3
BO CDA 3xx	Elective I	3-0-0-3

Semester VI

Total Credits: 19

Code	Course Name	L-T-P-C
BO CDA 302	Big Data Analytics	3-1-2-5
BO CDA 304	Capstone Project II	0-0-16-8
BO CDA 3xx	Elective II	3-0-0-3
BO CDA 3xx	Elective III	3-0-0-3

Year 4 — Degree Module (Part II)

Semester VII

Total Credits: 18

Code	Course Name	L-T-P-C
BO CDA 401	Ethics and Technology	3-0-0-3
BO CDA 4xx	Elective - IV	3-0-0-3
BO CDA 4xx	Elective - V	3-0-0-3
BO CDA 403	Project - I	0-0-12-6
BO CDA 405	Indian Knowledge System (IKS)	3-0-0-3

Semester VIII

Total Credits: 17

Code	Course Name	L-T-P-C
BO CDA 4xx	Elective - VI	3-0-0-3
BO CDA 4xx	Elective - VII	3-0-0-3
BO CDA 4xx	Elective - VIII	3-0-0-3
BO CDA 404	Project - II	0-0-16-8

Elective Baskets (I – VIII)

Elective I

• Data Mining BO CDA 309
• Cloud Computing BO CDA 311
• High Performance Computing BO CDA 313

Elective II

• Image and Video Analytics BO CDA 306
• Big Data Security BO CDA 308
• Introduction to Deep Learning BO CDA 310

Elective III

• Social Network Analysis BO CDA 312
• Machine Learning and Security BO CDA 314
• Natural Language Processing BO CDA 316

Elective IV

• Statistical Modeling and Inference BO CDA 407
• Time Series Analysis and Forecasting BO CDA 409
• Computer Vision BO CDA 411
• Pattern Recognition BO CDA 413
• Principles of Programming Languages BO CDA 415
• Social Networks BO CDA 417
• Multimedia System BO CDA 419
• Program Analysis and Verification BO CDA 421

Elective V

• Data Visualization and Communication BO CDA 423
• Data Engineering and Pipeline Design BO CDA 425
• Reinforcement Learning BO CDA 427
• Graph Machine Learning BO CDA 429
• Bioinformatics BO CDA 431
• Computational Data Analysis BO CDA 433
• Blockchain Technology BO CDA 435
• Graph Theory BO CDA 437

Elective VI

• Software Engineering and DevOps Practices BO CDA 406
• Information Security Principles BO CDA 408
• Game Theory BO CDA 410
• Multivariate Analysis BO CDA 412
• Statistical Machine Learning BO CDA 414
• Combinatorial Optimization BO CDA 416

Elective VII

• Generative Artificial Intelligence BO CDA 418
• Large Language Model (LLM) BO CDA 420
• Mathematical Finance BO CDA 422
• Quantum Computing BO CDA 424
• Drone Data Processing BO CDA 426
• Edge Computing BO CDA 428
• Distributed Computing BO CDA 430
• Parallel Computing BO CDA 432

Elective VIII

• Text Mining BO CDA 434
• Cryptography BO CDA 436
• Wireless Networks BO CDA 438

165 Total Minimum Credits (153 Coursework + 12 Summer Industry Project*)