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B-TECH in Computer Science And Biosciences Csb at Indraprastha Institute of Information Technology Delhi
Delhi, Delhi
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About the Specialization
What is Computer Science and Biosciences (CSB) at Indraprastha Institute of Information Technology Delhi Delhi?
This Computer Science and Biosciences (CSB) program at IIIT-Delhi focuses on integrating advanced computing techniques with fundamental biological sciences. It prepares students for the burgeoning interdisciplinary fields of bioinformatics, computational biology, and healthcare technology, which are experiencing significant demand in the Indian research and industry landscape. The program''''s strength lies in its blend of rigorous computer science principles with core biological concepts.
Who Should Apply?
This program is ideal for analytically strong fresh graduates with a keen interest in both computer science and life sciences. It suits individuals aspiring to leverage computational tools for solving complex biological problems, enter cutting-edge research, or join healthcare tech startups. Students with strong mathematical aptitude and a desire to contribute to health and life sciences through technology will thrive.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths, including bioinformatics scientists, computational biologists, data scientists in biotech, and software engineers in healthcare. Entry-level salaries typically range from INR 6-12 LPA, with significant growth potential in R&D roles in pharma, diagnostics, and AI-driven healthcare firms. The interdisciplinary nature also opens doors for higher studies in prestigious global institutions.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Develop a strong command over programming languages like Python and C++ through consistent practice. Focus on data structures and algorithms, which are foundational for advanced computational tasks in biosciences.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, Competitive programming clubs at IIIT-Delhi
Career Connection
Essential for cracking coding interviews for tech roles and building efficient algorithms for bioinformatics applications.
Build a Solid Mathematical & Statistical Base- (Semester 1-2)
Prioritize understanding linear algebra, differential equations, probability, and statistics. These form the bedrock for machine learning, data analysis, and modeling in computational biology.
Tools & Resources
NPTEL courses, Khan Academy, Academic support centers, Peer study groups
Career Connection
Crucial for advanced roles in data science, quantitative analysis, and research in bioinformatics and AI.
Engage in Interdisciplinary Discussion Groups- (Semester 1-2)
Form study groups with peers from both CS and Bio backgrounds. Discuss how computational concepts apply to biological problems and vice versa, fostering an integrated understanding.
Tools & Resources
IIIT-Delhi student forums, Dedicated group study rooms, Faculty office hours
Career Connection
Develops communication skills for interdisciplinary teams, a key asset in biotech and health-tech industries.
Intermediate Stage
Undertake Mini-Projects and Research Internships- (Semester 3-5 (especially summer breaks))
Apply classroom knowledge by taking on small projects in bioinformatics, machine learning, or systems biology. Seek out short-term research internships at IIIT-Delhi labs, other institutions, or startups.
Tools & Resources
Python libraries (Biopython, Pandas, Scikit-learn), R, Jupyter Notebooks, Faculty connections
Career Connection
Builds a practical portfolio, demonstrates problem-solving abilities, and provides early exposure to research/industry environments.
Participate in Hackathons and Data Challenges- (Semester 3-5)
Actively join hackathons focused on healthcare, bioinformatics, or data science. These platforms offer opportunities to work on real-world problems and collaborate with diverse teams under time pressure.
Tools & Resources
Kaggle, Devpost, IIIT-Delhi''''s innovation labs, Industry partner events
Career Connection
Sharpens problem-solving, teamwork, and rapid prototyping skills, highly valued by employers in fast-paced tech and biotech sectors.
Explore Electives Strategically- (Semester 3-5)
Choose department and open electives that align with emerging trends in CSB, such as AI in healthcare, deep learning for genomics, or specific biological modeling techniques.
Tools & Resources
Course catalogs, Faculty advisors, Industry reports on emerging fields
Career Connection
Allows for early specialization, making students more competitive for niche roles and advanced research opportunities.
Advanced Stage
Intensive Major Project/Thesis Work- (Semester 6-7)
Dedicate significant effort to the Major Project (Parts I & II) or an independent research study. Aim for novel contributions, publishable results, or robust prototypes that solve a complex problem in CSB.
Tools & Resources
Advanced computational resources, Specialized software (e.g., for molecular dynamics, structural bioinformatics), Academic writing tools
Career Connection
Demonstrates deep expertise, research capability, and provides a strong talking point for graduate school applications or high-level R&D positions.
Pursue an Industry Internship or Research Exchange- (Semester 7-8 (especially long summer breaks or dedicated internship semester))
Secure a long-term internship (6 months or more) at a leading biotech company, pharma R&D division, or a specialized research lab. Alternatively, explore international research exchange programs.
Tools & Resources
IIIT-Delhi''''s placement cell, Alumni network, Professional platforms like LinkedIn
Career Connection
Gains invaluable real-world experience, builds professional networks, and often leads directly to pre-placement offers.
Focus on Communication and Presentation Skills- (Semester 6-8)
Actively participate in seminars, conferences (even local student ones), and project presentations. Refine the ability to articulate complex technical and biological concepts to diverse audiences.
Tools & Resources
IIIT-Delhi Toastmasters club, Departmental seminars, Mock interview sessions, Thesis defense preparations
Career Connection
Crucial for leadership roles, scientific collaborations, and effectively presenting research findings or product proposals in professional settings.
Program Structure and Curriculum
Eligibility:
- Passed 12th class with Physics, Chemistry, and Mathematics (PCM) with minimum 70% in aggregate of PCM and 70% in overall aggregate. Must have appeared for JEE Main (Paper-1). Specific criteria for Delhi and Outside Delhi candidates apply.
Duration: 4 years / 8 semesters
Credits: 173 (Minimum 160 credits required for graduation) Credits
Assessment: Internal: >=50%, External: <=50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSB101 | Introduction to Programming | Core | 4 | Programming Constructs, Control Flow, Functions, Data Structures (Arrays, Lists), Object-Oriented Concepts, Debugging |
| CSB102 | Data Structures and Algorithms | Core | 4 | Abstract Data Types, Linear Data Structures, Trees, Graphs, Sorting Algorithms, Searching Algorithms |
| MA101 | Linear Algebra and Differential Equations | Core | 4 | Vector Spaces, Linear Transformations, Eigenvalues, First Order ODEs, Higher Order ODEs, Systems of ODEs |
| HU101 | Introduction to Humanities & Social Sciences | Core | 3 | Critical Thinking, Communication, Social Structures, Cultural Perspectives, Ethics, Interdisciplinary Approaches |
| XX10X | Generic Elective I | Elective | 3 | |
| CSB103 | Programming Lab | Lab | 2 | Python Programming, C++ Programming, Debugging Tools, Version Control, Data Structure Implementation |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSB201 | Object Oriented Programming | Core | 4 | Classes and Objects, Inheritance, Polymorphism, Encapsulation, Abstract Classes, Exception Handling |
| CSB202 | Discrete Mathematics | Core | 4 | Logic, Set Theory, Relations, Functions, Graph Theory, Combinatorics |
| MA201 | Probability and Statistics | Core | 4 | Probability Theory, Random Variables, Probability Distributions, Hypothesis Testing, Regression, Correlation |
| CSB203 | Digital Logic Design | Core | 4 | Boolean Algebra, Logic Gates, Combinational Circuits, Sequential Circuits, Registers, Memory |
| XX20X | Generic Elective II | Elective | 3 | |
| CSB204 | Object Oriented Programming Lab | Lab | 2 | Java/C++ Implementation, OOP Design Patterns, Debugging, API Usage |
| CSB205 | Digital Logic Design Lab | Lab | 1 | Logic Gate Design, Combinational Circuit Implementation, Sequential Circuit Implementation, FPGA/VLSI Tools |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSB301 | Computer Architecture | Core | 4 | CPU Organization, Instruction Set Architecture, Pipelining, Memory Hierarchy, I/O Systems, Parallelism |
| CSB302 | Operating Systems | Core | 4 | Process Management, Memory Management, File Systems, I/O Systems, Deadlocks, Concurrency |
| CSB303 | Introduction to Biology | Core | 4 | Cell Biology, Molecular Biology, Genetics, Evolution, Physiology, Ecology |
| CSB304 | Bioinformatics Algorithms | Core | 4 | Sequence Alignment, Phylogenetics, Genome Assembly, Hidden Markov Models, Machine Learning in Biology |
| XX30X | Generic Elective III | Elective | 3 | |
| CSB305 | Computer Architecture Lab | Lab | 1 | Assembly Language Programming, CPU Simulation, Memory System Analysis |
| CSB306 | Operating Systems Lab | Lab | 1 | Shell Scripting, System Calls, Process/Thread Management, Memory Allocation |
| CSB307 | Introduction to Biology Lab | Lab | 1 | Microscopy, DNA Extraction, Gel Electrophoresis, Bacterial Culture, Data Analysis |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSB401 | Database Management Systems | Core | 4 | Relational Model, SQL, ER Diagrams, Normalization, Transactions, Concurrency Control |
| CSB402 | Theory of Computation | Core | 4 | Finite Automata, Regular Expressions, Context-Free Grammars, Turing Machines, Decidability, Complexity Classes |
| CSB403 | Machine Learning | Core | 4 | Supervised Learning, Unsupervised Learning, Neural Networks, Deep Learning, Evaluation Metrics, Model Selection |
| CSB404 | Genomics and Proteomics | Core | 4 | Genome Sequencing, Gene Expression, Proteomics Technologies, Protein-Protein Interactions, Data Analysis |
| XX40X | Generic Elective IV | Elective | 3 | |
| CSB405 | Database Management Systems Lab | Lab | 1 | SQL Queries, Database Design, Stored Procedures, ORM Frameworks |
| CSB406 | Machine Learning Lab | Lab | 1 | Python Libraries (Scikit-learn, TensorFlow), Model Training, Data Preprocessing, Visualization |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSB501 | Computer Networks | Core | 4 | Network Protocols, TCP/IP Model, Routing, Congestion Control, Network Security, Wireless Networks |
| CSB502 | Data Mining | Core | 4 | Data Preprocessing, Association Rules, Classification, Clustering, Anomaly Detection, Big Data Analytics |
| CSB503 | Computational Systems Biology | Core | 4 | Biological Networks, Metabolic Pathways, Gene Regulatory Networks, Simulation, Modeling, Drug Discovery |
| CSB504 | Applied Statistics for Biosciences | Core | 4 | Experimental Design, ANOVA, Non-parametric Tests, Survival Analysis, Statistical Software |
| XX50X | Department Elective I | Elective | 3 | |
| XX50X | Department Elective II | Elective | 3 | |
| CSB505 | Computer Networks Lab | Lab | 1 | Socket Programming, Network Packet Analysis, Router Configuration, Network Security Tools |
| CSB506 | Data Mining Lab | Lab | 1 | Weka, R/Python for Data Mining, Feature Selection, Model Evaluation |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSB601 | Software Engineering | Core | 4 | Software Development Life Cycle, Requirements Engineering, Design Patterns, Testing, Project Management, Agile Methodologies |
| CSB602 | Cryptography and Network Security | Core | 4 | Symmetric/Asymmetric Ciphers, Hash Functions, Digital Signatures, Authentication, Firewalls, IDS/IPS |
| CSB603 | Structural Bioinformatics | Core | 4 | Protein Structure Prediction, Molecular Docking, Drug Design, Protein Dynamics, Conformational Analysis |
| XX60X | Department Elective III | Elective | 3 | |
| XX60X | Department Elective IV | Elective | 3 | |
| CSB604 | Software Engineering Lab | Lab | 1 | UML, Version Control (Git), IDEs, Testing Frameworks, Project Documentation |
| CSB605 | Cryptography and Network Security Lab | Lab | 1 | OpenSSL, Cryptographic Libraries, Wireshark, Firewall Rules |
| CSB606 | Major Project - Part I | Project | 4 | Project Proposal, Literature Review, System Design, Methodology, Initial Implementation |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSB701 | Introduction to Research (Capstone) | Core | 4 | Research Methodology, Scientific Writing, Data Interpretation, Experimental Design, Ethics in Research |
| XX70X | Department Elective V | Elective | 3 | |
| XX70X | Department Elective VI | Elective | 3 | |
| XX70X | Open Elective I | Elective | 3 | |
| XX70X | Open Elective II | Elective | 3 | |
| CSB702 | Major Project - Part II | Project | 6 | Advanced Implementation, Data Analysis, Evaluation, Report Writing, Presentation |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSB801 | Internship/Independent Study | Core/Project | 12 | Industry Experience, Research Project, Skill Application, Professional Development, Technical Report |
| XX80X | Open Elective III | Elective | 3 | |
| XX80X | Open Elective IV | Elective | 3 |
