.png&w=1920&q=75)
B-TECH in Information Science And Engineering at JAIN (Deemed-to-be University)
Bengaluru, Karnataka
.png&w=1920&q=75)
About the Specialization
What is Information Science and Engineering at JAIN (Deemed-to-be University) Bengaluru?
This Information Science and Engineering program at JAIN University focuses on the synergistic blend of computer science and information technology, preparing students to tackle complex data and system challenges. It emphasizes software development, data management, and network security, crucial for India''''s rapidly digitalizing economy. The curriculum is designed to foster innovation and practical skills, aligning with industry demands for skilled IT professionals.
Who Should Apply?
This program is ideal for aspiring software developers, data engineers, network security specialists, and IT consultants. Fresh graduates with a strong aptitude for problem-solving and logical reasoning, and a passion for technology, will thrive. It also suits individuals seeking foundational knowledge to pivot into emerging tech roles, providing a robust engineering base.
Why Choose This Course?
Graduates of this program can expect diverse career paths in IT, including software development, data analytics, cybersecurity, and cloud engineering, across various Indian and global companies. Entry-level salaries typically range from INR 4-8 LPA, with experienced professionals earning significantly more. The strong curriculum helps in aligning with certifications like AWS, Azure, and various ethical hacking credentials.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate significant time to thoroughly understand C, C++, and Java. Actively solve coding problems daily on platforms to build strong logical thinking and problem-solving abilities, which are foundational for all advanced subjects.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, CodeChef
Career Connection
A strong coding base is critical for cracking technical interviews and excelling in software development roles during placements. It also aids in understanding complex algorithms and data structures.
Build a Strong Mathematical Core- (Semester 1-3)
Focus on understanding Engineering Mathematics, Discrete Structures, and Probability & Statistics. These subjects provide the theoretical backbone for algorithms, data science, and AI, which are crucial for Information Science and Engineering.
Tools & Resources
NPTEL courses, Khan Academy, MIT OpenCourseWare (Mathematics sections)
Career Connection
A solid mathematical foundation is essential for research, advanced analytics, machine learning, and designing efficient algorithms, opening doors to R&D and specialized tech roles.
Engage in Early Project-Based Learning- (Semester 1-2)
Actively participate in mini-projects, even small ones, to apply theoretical knowledge from subjects like Programming and Data Structures. This hands-on experience enhances understanding and builds practical skills from the start.
Tools & Resources
GitHub for version control, VS Code for development, Online tutorials for project ideas
Career Connection
Practical projects demonstrate initiative and application of skills, making your resume stand out to recruiters for internships and entry-level positions in Indian tech companies.
Intermediate Stage
Deep Dive into Core IT Subjects- (Semester 3-5)
Focus intently on Object-Oriented Programming, DBMS, Computer Networks, Operating Systems, and Design & Analysis of Algorithms. Ensure hands-on proficiency through lab work and independent problem-solving beyond curriculum examples.
Tools & Resources
Oracle SQL Developer, Wireshark for network analysis, Linux kernel documentation, Online competitive programming platforms
Career Connection
Mastery in these core subjects is non-negotiable for product development, systems engineering, and database administration roles in major IT firms and startups.
Explore Specializations with Electives- (Semester 5-6)
Strategically choose professional electives based on your career interests (e.g., Cyber Security, AI, Machine Learning). Supplement classroom learning with online courses and certifications to gain specialized expertise early.
Tools & Resources
Coursera, edX, Udemy (for certifications), Kaggle for data science
Career Connection
Specialized skills make you a more attractive candidate for niche roles in emerging technologies, offering higher salary potential and faster career growth in the competitive Indian job market.
Network and Participate in Tech Events- (Semester 4-6)
Attend tech meetups, workshops, hackathons, and guest lectures organized by the university or local tech communities. Network with industry professionals and peers to gain insights and opportunities.
Tools & Resources
LinkedIn for professional networking, Meetup.com for local tech events, University career fairs
Career Connection
Networking often leads to internship referrals, mentorship, and awareness of job openings, crucial for securing placements in your desired domain.
Advanced Stage
Undertake Industry-Relevant Major Projects- (Semester 7-8)
For your Major Project (Phase I & II), choose a challenging, industry-relevant problem. Aim for innovation, use modern tools/technologies, and document your work meticulously. Seek mentorship from faculty or industry experts.
Tools & Resources
Jira for project management, GitHub for collaboration, Cloud platforms (AWS, Azure, GCP), Latest frameworks relevant to project
Career Connection
A strong major project showcases your ability to deliver end-to-end solutions, significantly boosting your resume for product development, R&D, and specialist roles.
Prepare Rigorously for Placements- (Semester 6-8)
Start placement preparation early, focusing on aptitude, logical reasoning, data structures, algorithms, and behavioral aspects. Practice mock interviews and group discussions regularly with peers and career counselors.
Tools & Resources
Placement preparation books, Online mock interview platforms, Career Services Department
Career Connection
Thorough preparation directly translates into higher chances of securing offers from top-tier companies, including MNCs and high-growth Indian startups, right after graduation.
Leverage Internship and Industry Project- (Semester 8)
Utilize your final semester internship or industry project to gain hands-on professional experience. Actively contribute, learn from seniors, and strive to convert the internship into a full-time job offer. Document your learnings and achievements.
Tools & Resources
Company-specific tools and technologies, Mentors and team leads at the internship location, Professional networking skills
Career Connection
Internships are often the direct pathway to employment. A successful industry project or internship provides invaluable experience and a strong reference, leading to direct placements or preferential hiring.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry / Biotechnology / Biology / Technical Vocational subject / Computer Science / Information Technology / Informatics Practices / Agriculture / Engineering Graphics / Business Studies. Obtained at least 45% marks (40% in case of candidates belonging to reserved category) in the above subjects taken together.
Duration: 8 semesters / 4 years
Credits: 172 Credits
Assessment: Internal: 50% (Continuous Internal Evaluation - CIE), External: 50% (Semester End Examination - SEE)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22BMA101T | Engineering Mathematics - I | Core | 4 | Calculus, Multiple Integrals, Vector Calculus, Ordinary Differential Equations, Laplace Transforms |
| 22BPH101T | Engineering Physics | Core | 4 | Quantum Mechanics, Lasers and Holography, Optical Fibers and Sensors, Dielectric & Magnetic Materials, Nanomaterials and Applications |
| 22BEE101T | Basic Electrical Engineering | Core | 3 | DC Circuits Analysis, AC Circuits Fundamentals, Electrical Machines, Transformers, Power Systems Basics |
| 22BCS101P | Programming for Problem Solving | Lab | 2 | C Programming Basics, Control Structures, Arrays and Strings, Functions and Pointers, File Handling |
| 22BME101P | Engineering Graphics | Lab | 2 | Orthographic Projections, Isometric Projections, Sectional Views, AutoCAD Fundamentals, Development of Surfaces |
| 22BHS101T | Professional Communication | Core | 2 | Communication Process, English Grammar and Vocabulary, Technical Writing Skills, Presentation Techniques, Group Discussions |
| 22BNC101A | AI Fundamentals | Ability Enhancement Course | 1 | Introduction to AI, Machine Learning Concepts, Deep Learning Basics, AI Ethics and Applications, AI in various industries |
| 22BHS102A | Design Thinking | Ability Enhancement Course | 1 | Design Thinking Process, Empathize and Define, Ideate and Prototype, Test and Iterate, Problem-Solving through Design |
| 22BNC102A | Engineering Exploration | Ability Enhancement Course | 2 | Overview of Engineering Disciplines, Project-Based Learning, Basic Engineering Tools, Problem Identification, Solution Design Methodologies |
| 22BNC103A | Skill Lab - I | Skill Enhancement Course | 1 | Soft Skills Development, Time Management, Teamwork and Collaboration, Critical Thinking, Problem Solving Strategies |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22BMA201T | Engineering Mathematics - II | Core | 4 | Linear Algebra, Vector Spaces, Eigenvalues and Eigenvectors, Numerical Methods, Complex Analysis |
| 22BCH201T | Engineering Chemistry | Core | 4 | Electrochemistry and Batteries, Corrosion and its Control, Water Technology, Polymer Chemistry, Instrumental Methods of Analysis |
| 22BEC201T | Basic Electronics | Core | 3 | Semiconductor Devices, Diodes and Applications, Transistors (BJT, MOSFET), Rectifiers and Filters, Amplifiers and Oscillators |
| 22BCS201T | Data Structures & Algorithms | Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting Algorithms, Searching Algorithms |
| 22BCS202P | Data Structures & Algorithms Lab | Lab | 2 | Implementation of Data Structures, Algorithm Design and Analysis, Linked List Operations, Tree Traversals, Graph Algorithms |
| 22BME201T | Engineering Mechanics | Core | 3 | Force Systems, Equilibrium of Bodies, Friction, Centroids and Moments of Inertia, Work and Energy |
| 22BNC201A | Universal Human Values | Ability Enhancement Course | 1 | Self-Exploration and Self-Awareness, Understanding Harmony, Ethical Human Conduct, Professional Ethics, Holistic Development |
| 22BHS201A | Innovation and Entrepreneurship | Ability Enhancement Course | 1 | Innovation Process, Entrepreneurial Mindset, Business Model Canvas, Startup Ecosystem in India, Intellectual Property Rights |
| 22BNC202A | Environmental Science & Sustainability | Ability Enhancement Course | 1 | Ecosystems and Biodiversity, Environmental Pollution, Renewable Energy Sources, Environmental Impact Assessment, Sustainable Development Goals |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22BMA301T | Probability and Statistics | Core | 3 | Probability Theory, Random Variables and Distributions, Sampling Distributions, Hypothesis Testing, Correlation and Regression |
| 22BCS301T | Discrete Mathematical Structures | Core | 3 | Set Theory and Logic, Relations and Functions, Counting Principles and Combinatorics, Graph Theory Fundamentals, Algebraic Structures |
| 22BHS301A | Constitution of India & Professional Ethics | Ability Enhancement Course | 1 | Indian Constitution Overview, Fundamental Rights and Duties, Directive Principles of State Policy, Professional Ethics in Engineering, Cyber Law Basics |
| 22BNC301A | Technical Communication | Ability Enhancement Course | 1 | Technical Report Writing, Research Paper Formulation, Proposal Writing, Oral Presentation Skills, Visual Communication |
| 22BNC302A | Skill Lab - II | Skill Enhancement Course | 1 | Advanced Communication Strategies, Leadership Development, Effective Presentation Tools, Interview Preparation, Negotiation Skills |
| 22BIE301T | Object Oriented Programming using Java | Core | 4 | OOP Concepts (Encapsulation, Inheritance), Polymorphism and Abstraction, Exception Handling, Collections Framework, Multithreading |
| 22BIE302P | Object Oriented Programming using Java Lab | Lab | 2 | Java Program Implementation, GUI Programming, JDBC Connectivity, Web Applications with Servlets, Mini Project Development |
| 22BIE303T | Database Management Systems | Core | 4 | DBMS Architecture and Data Models, Entity-Relationship (ER) Model, Relational Algebra and Calculus, SQL Query Language, Normalization and Transaction Management |
| 22BIE304P | Database Management Systems Lab | Lab | 2 | SQL Queries and Stored Procedures, Database Design and Implementation, PL/SQL Programming, NoSQL Database Concepts, Database Administration Tasks |
| 22BIE305T | Computer Networks | Core | 4 | Network Topologies and Devices, OSI and TCP/IP Models, Data Link Layer Protocols, Network Layer Protocols (IP, Routing), Transport Layer (TCP, UDP) and Application Layer |
| 22BIE306P | Computer Networks Lab | Lab | 2 | Network Configuration using Tools, Socket Programming, Network Packet Analysis, Firewall and Security Basics, Wireless Network Setup |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22BMA401T | Graph Theory & Combinatorics | Core | 3 | Basic Graph Theory Concepts, Graph Traversal Algorithms (BFS, DFS), Trees and Spanning Trees, Connectivity and Graph Coloring, Counting Principles and Generating Functions |
| 22BIE401T | Operating Systems | Core | 4 | OS Structures and Services, Process Management and Scheduling, Memory Management Techniques, File Systems and I/O Management, Deadlocks and Concurrency Control |
| 22BIE402P | Operating Systems Lab | Lab | 2 | Shell Scripting, Process Synchronization Problems, Memory Allocation Algorithms Implementation, File System Calls, Inter-Process Communication |
| 22BIE403T | Design and Analysis of Algorithms | Core | 4 | Algorithm Analysis Techniques, Divide and Conquer, Dynamic Programming, Greedy Algorithms, Graph Algorithms and NP-Completeness |
| 22BIE404P | Design and Analysis of Algorithms Lab | Lab | 2 | Implementation of Core Algorithms, Time and Space Complexity Analysis, Competitive Programming Paradigms, Algorithm Design Strategies, Problem Solving with Algorithms |
| 22BIE405T | Web Technologies | Core | 4 | HTML5 and CSS3, JavaScript Fundamentals, Frontend Frameworks (e.g., React/Angular), Backend Development (e.g., Node.js, Python Flask), Database Integration and Web Security |
| 22BIE406P | Web Technologies Lab | Lab | 2 | Full-Stack Web Application Development, Responsive Web Design, API Integration, Database Connectivity, Authentication and Authorization |
| 22BNC401A | Indian Knowledge System | Ability Enhancement Course | 1 | Ancient Indian Science and Technology, Yoga and Ayurveda, Traditional Art Forms, Indian Philosophical Systems, Contributions to Mathematics and Astronomy |
| 22BNC402A | Skill Lab - III | Skill Enhancement Course | 1 | Advanced Problem-Solving, Critical Thinking Techniques, Leadership and Mentoring Skills, Innovation Mindset Development, Conflict Resolution Strategies |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22BIE501T | Software Engineering | Core | 4 | Software Development Life Cycle Models, Requirements Engineering, Software Design Principles and Patterns, Software Testing and Validation, Project Management and Quality Assurance |
| 22BIE502P | Software Engineering Lab | Lab | 2 | UML Diagramming Tools, Requirements Elicitation and Documentation, Software Design Tools, Test Case Generation and Execution, Mini Software Project Implementation |
| 22BIE503T | Artificial Intelligence | Core | 4 | Intelligent Agents and Search, Knowledge Representation and Reasoning, Machine Learning Fundamentals, Natural Language Processing, Robotics and Expert Systems |
| 22BIE504P | Artificial Intelligence Lab | Lab | 2 | AI Project Development using Python, Machine Learning Libraries (Scikit-learn), Data Preprocessing and Feature Engineering, Model Training and Evaluation, Introduction to AI Game Development |
| 22BIE505T | Data Communication | Core | 3 | Data Transmission Fundamentals, Signal Encoding Techniques, Multiplexing and Spreading Spectrum, Error Detection and Correction, Flow Control and Medium Access Control |
| 22BIE513T | Professional Elective - 1 (Cyber Security) | Elective | 3 | Introduction to Cyber Security, Cryptography and Network Security, Vulnerability Assessment, Malware Analysis, Security Policies and Standards |
| 22BNC501A | Project Based Learning - I | Skill Enhancement Course | 1 | Project Planning and Scoping, Literature Review Techniques, Problem Definition and Analysis, Preliminary Design and Prototyping, Basic Report Writing |
| 22BHS501A | Professional Ethics & Cyber Law | Ability Enhancement Course | 1 | Ethical Hacking Concepts, Information Technology Act, Data Privacy Regulations, Digital Forensics Basics, Risk Management in Cyber Space |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22BIE601T | Machine Learning | Core | 4 | Supervised Learning Algorithms, Unsupervised Learning (Clustering), Reinforcement Learning Basics, Model Evaluation and Hyperparameter Tuning, Introduction to Neural Networks |
| 22BIE602P | Machine Learning Lab | Lab | 2 | ML Algorithm Implementation in Python, Using Scikit-learn and TensorFlow, Data Visualization for ML, Predictive Modeling Projects, Deep Learning Frameworks |
| 22BIE603T | Compiler Design | Core | 3 | Lexical Analysis and Finite Automata, Syntax Analysis (Parsing), Semantic Analysis and Type Checking, Intermediate Code Generation, Code Optimization Techniques |
| 22BIE621T | Professional Elective - 2 (Deep Learning) | Elective | 3 | Neural Network Architectures, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Deep Learning Frameworks (Keras, PyTorch), Applications of Deep Learning |
| 22BIE631T | Professional Elective - 3 (Wireless Sensor Networks) | Elective | 3 | WSN Architecture and Protocols, Sensor Node Hardware and Software, Data Aggregation and Routing, Localization and Time Synchronization, Security in WSN |
| 22BIE606P | Mini Project | Project | 2 | Project Scope Definition, Design and Implementation Phases, Testing and Debugging, Technical Report Writing, Project Presentation |
| 22BNC601A | Project Based Learning - II | Skill Enhancement Course | 1 | Advanced Project Management, Team Collaboration Strategies, Innovation and Creativity in Projects, Documentation and Version Control, Problem-Solving Methodologies |
| 22BHS601A | Research Methodology & IPR | Ability Enhancement Course | 1 | Research Design and Methods, Data Collection and Analysis, Scientific Report Writing, Intellectual Property Rights (IPR), Patents, Copyrights, Trademarks |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22BIE701T | Open Elective - 1 | Open Elective | 3 | Interdisciplinary concepts, Cross-functional skills, Emerging technologies, Domain-specific applications, Entrepreneurial ventures |
| 22BIE702T | Open Elective - 2 | Open Elective | 3 | Advanced technical topics, Industry-specific challenges, Societal impact of technology, Ethical considerations, Professional development |
| 22BIE741T | Professional Elective - 4 (Cloud Security) | Elective | 3 | Cloud Computing Security Architecture, Data Security in Cloud, Identity and Access Management, Cloud Compliance and Governance, Threats and Vulnerabilities in Cloud |
| 22BIE751T | Professional Elective - 5 (Natural Language Processing Techniques) | Elective | 3 | Text Preprocessing and Tokenization, Syntactic and Semantic Analysis, Machine Translation, Sentiment Analysis, Information Extraction |
| 22BIE705P | Major Project – Phase I | Project | 6 | Problem Identification and Scoping, Extensive Literature Survey, Project Proposal Development, System Design and Architecture, Initial Implementation and Prototyping, Progress Reporting |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22BIE801T | Major Project – Phase II | Project | 12 | Advanced System Implementation, Comprehensive Testing and Validation, Performance Evaluation and Optimization, Technical Documentation and Thesis, Project Presentation and Viva |
| 22BIE802T | Internship/Industry Project | Internship | 6 | Real-world Industry Exposure, Practical Skill Application, Professional Work Experience, Industry Project Completion, Internship Report and Presentation |
