Full-Time Integrated Bachelor Degree Program in Hybrid Mode of Instruction
Exit Options
Electives
Artificial Intelligence & Generative AI | Advanced Algorithms & Intelligent Computing | Blockchain & Decentralized Technologies
| Cloud, Edge Computing & Distributed Systems | Computer Vision & Intelligent Image Processing | Cybersecurity, Cryptography & Information Security | Data Science, Big Data & Data Mining | Machine Learning & Reinforcement Learning | Natural Language Processing & Language Technologies | Programming & Software Engineering
Serving national & international organisations at leadership positions
Join IIT Patna’s 5-Year Full-Time BS-MS Integrated Degree Program — a dual-degree path designed for ambitious students who want to master both foundational science and advanced research skills in cutting-edge tech fields.
Key Highlights:
Hybrid Mode | 80% Live/Online, 20% On-Campus
World Class - Academia Interface
24x7 Access to eLibrary
+Virtual Gymkhana Membership
Industry-Aligned Curriculum
Fully NEP 2020 Compliant
Opportunity
for Research Fellowships & International Exchange
Techno Management
-driven learning
IIT Degree
and Alumni Status
Support for Internships & Placement*
Recruiting Companies
Highest Package (Across Programs at IIT Patna)
Valid Score/Rank in National/State Level Entrance (i.e., JEE (Advanced/Main), NEET, CUET, BITSAT, KVPY/NTSE/INSPIRE scholarship holders, State Entrance Examinations) or a Valid score in International Entrance Test: US (SAT-I/SAT-II), UK (BMAT) otherwise candidates have to qualify the IITP-SAT Entrance Exam conducted by IIT Patna.
Focus: AI systems, ethical hacking, data privacy, secure systems
Objective: Train students in intelligent, secure technology for tomorrow’s challenges
Focus: Algorithms, big data, database design, computational theory
Objective: Prepare students for research and innovation in data-driven environments
Mathematics I
Project – IV
Total Credits - 18
ELECTIVE - I
Cloud Computing
Cybercrime and Digital Forensics
ELECTIVE - II
Advanced Machine Learning Techniques
Image and Video Analytics
Web Application and Penetration Testing
ELECTIVE - III
Introduction to Blockchain and Crptocurrency
Open Source and Threat Intelligence
Cyber Security with Blockchain
IoT Applications and Security
ELECTIVE - IV
Cryptography
Time Series Analysis and Forecasting
Computer Vision
Blockchain Components and Architecture
Pattern Recognition
Principles of Programming Languages
Social Networks
Multimedia System
Nature Inspired Algorithms
ELECTIVE – V
Data Visualization and Communication
Data Engineering and Pipeline Design
Reinforcement Learning
Data Virtualization and Dashboards
Graph Machine Learning
Bioinformatics
Computational Data Analysis
Blockchain Technology
Evolutionary Computing
ELECTIVE – VI
Software Engineering and DevOps Practices
Information Security Principles
Game Theory
Smart Contracts and Solidity Programming
Multivariate Analysis
Statistical Machine Learning
ELECTIVE – VII
Generative Artificial Intelligence
Large Language Model (LLM)
Mathematical Finance
Data Mining and Knowledge Discovery
Quantum Computing
Drone Data Processing
Edge Computing
ELECTIVE – VIII
Text Mining
Big Data Analytics
Wireless Networks
ELECTIVE – IX
Physics of Neural Networks
Federated Learning
Formal Methods in Program Analysis and
Verification
ELECTIVE – X
Meta Learning
Advanced Cloud Computing
Quantum Machine Learning
ELECTIVE – XI
Deep Learning
Artificial Internet of Things
Mandatory Summer Industry Project (12 credits): To work on a project relevant to
Industry/contemporary problems of Industrial significance for award of Diploma and/or entering to
the third year for the degree module.
Project – IV
Total Credits - 18
ELECTIVE - I
Data Mining
Cloud Computing
High Performance Computing
ELECTIVE - II
Image and Video Analytics
Big Data Security
Introduction to Deep Learning
ELECTIVE - III
Social Network Analysis
Machine Learning and Security
Natural Language Processing
ELECTIVE - IV
Statistical Modeling and Inference
Time Series Analysis and Forecasting
Computer Vision
Pattern Recognition
Principles of Programming Languages
Social Networks
Multimedia System
Program Analysis and Verification
ELECTIVE – V
Data Visualization and Communication
Data Engineering and Pipeline Design
Reinforcement Learning
Graph Machine Learning
Bioinformatics
Computational Data Analysis
Blockchain Technology
Graph Theory
ELECTIVE – VI
Software Engineering and DevOps Practices
Information Security Principles
Game Theory
Multivariate Analysis
Statistical Machine Learning
Combinatorial Optimization
ELECTIVE – VII
Generative Artificial Intelligence
Large Language Model (LLM)
Mathematical Finance
Quantum Computing
Drone Data Processing
Edge Computing
Distributed Computing
Parallel Computing
ELECTIVE – VIII
Text Mining
Cryptography
Wireless Networks
ELECTIVE – IX
Advanced Blockchain Technology
Advanced Cyber Security
Formal Methods in Program Analysis and Verification
ELECTIVE – X
Advanced Cloud Computing
Cyber Physical Systems
ELECTIVE – XI
Advanced Pattern Recognition
Advanced Computational Data Analysis
Advanced Time Series Analysis
Total Minimum Credits =188 + 12 = 200*
Step into a future of advanced discovery and academic excellence with IIT Patna’s industry-integrated BS-MS in Computer Science & Data Analytics. Build deep technical expertise, engage in cutting-edge research, and earn a dual degree — all through a flexible hybrid model with immersive campus experiences.
Graduates are equipped for research-intensive and high-growth careers in:
AI & ML Engineering
Cybersecurity Architecture & Ethical Hacking
Data Science & Advanced Analytics
Software & Systems Design
Program Fee
₹56,400/*- Per Semester
Alumni Fee ₹6000/*
Application Processing Fee: ₹ 2800/-
# Non-Refundable
Get expert guidance from our admission counsellors and explore flexible financing options for your program.
** The campus immersion program shall be conducted with the end-semester examinations remaining the primary mode, students may opt to appear for these examinations remotely under proctored safe browser mode. However, candidates appearing remotely for end-semester examinations will not be entitled to participate in the campus immersion program.
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