B-TECH in Information Technology Upto 2024 Admissions at Manipal Institute of Technology
Udupi, Karnataka
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About the Specialization
What is Information Technology (Upto 2024 Admissions) at Manipal Institute of Technology Udupi?
This Information Technology program at Manipal Institute of Technology, Manipal, focuses on equipping students with core IT competencies and advanced skills in emerging areas like AI, Machine Learning, Cloud Computing, and Internet of Things. It emphasizes a strong foundation in software development, data management, and computer networking. The curriculum is designed to meet the evolving demands of the Indian IT industry, fostering innovation and problem-solving capabilities.
Who Should Apply?
This program is ideal for high school graduates with a strong aptitude for mathematics and logical reasoning, aspiring to build a career in the dynamic IT sector. It also suits individuals passionate about software development, data science, cybersecurity, or network administration. A basic understanding of programming concepts and a keen interest in technology are beneficial prerequisites for successful completion of the course.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including roles such as Software Developer, Data Scientist, Cloud Engineer, Network Architect, or IT Consultant. Entry-level salaries typically range from INR 4-8 LPA, with experienced professionals earning upwards of INR 15-30 LPA. The program aligns with industry certifications, enabling strong growth trajectories in leading Indian and multinational IT companies.
Student Success Practices
Foundation Stage
Master Core Programming & Data Structures- (Semester 1-2)
Dedicate significant time to thoroughly understand C/C++ programming fundamentals and common data structures. Practice extensively by solving problems on online platforms to build a strong logical and algorithmic foundation.
Tools & Resources
GeeksforGeeks, HackerRank, CodeChef, LeetCode
Career Connection
Strong programming skills are non-negotiable for almost all IT roles, forming the basis for technical interviews and problem-solving challenges in placements.
Build a Strong Mathematical & Scientific Base- (Semester 1-2)
Pay close attention to Engineering Mathematics, Physics, and Chemistry. These subjects develop analytical thinking and problem-solving skills crucial for advanced IT concepts and competitive exams.
Tools & Resources
NCERT textbooks (revisit), Khan Academy, MIT OpenCourseWare (basic courses)
Career Connection
A solid foundation in these areas helps in understanding complex algorithms, data analysis, and even hardware-software interaction, vital for higher studies or R&D roles.
Engage Actively in Lab Sessions & Projects- (Semester 1-2)
Utilize lab hours to experiment, debug, and implement concepts beyond basic assignments. Collaborate with peers on small projects to gain practical experience and improve teamwork.
Tools & Resources
GitHub (for version control), Online IDEs, Department Labs
Career Connection
Practical application of knowledge is highly valued by recruiters. Early project involvement enhances your portfolio and demonstrates problem-solving abilities.
Intermediate Stage
Specialize in Core IT Domains- (Semester 3-5)
Deep dive into subjects like Database Management Systems, Operating Systems, Computer Networks, and Software Engineering. Participate in relevant workshops and mini-projects to gain specialization.
Tools & Resources
Coursera/edX courses, NPTEL lectures, DBMS/OS simulators, Wireshark for networking
Career Connection
These core domains are foundational for specialized roles (e.g., DBA, Network Engineer, Software Tester) and often form the backbone of technical interviews.
Pursue Internships & Industry Exposure- (Semester 4-6)
Actively seek summer internships or part-time projects in companies to gain real-world industry experience. Focus on applying learned concepts and understanding organizational workflows.
Tools & Resources
LinkedIn, Internshala, College Placement Cell, Networking events
Career Connection
Internships are critical for practical skills, networking, and often lead to pre-placement offers, significantly boosting placement prospects.
Develop a Strong Personal Portfolio- (Semester 3-5)
Start building a portfolio of projects, including open-source contributions, competitive programming profiles, and personal coding initiatives. Showcase your skills and interests.
Tools & Resources
GitHub, Personal Website/Blog, LinkedIn Profile, Kaggle
Career Connection
A strong portfolio acts as a live resume, demonstrating your technical prowess and passion to potential employers, setting you apart from other candidates.
Advanced Stage
Focus on Advanced Specializations and Research- (Semester 6-8)
Leverage professional and open electives to specialize in areas like Artificial Intelligence/Machine Learning, Cloud Computing, or Internet of Things. Engage in advanced projects and consider publishing research papers in these domains.
Tools & Resources
Research papers (IEEE, ACM), Advanced online courses, Faculty mentors, Department research labs
Career Connection
Deep specialization makes you a sought-after expert for niche roles, R&D positions, and helps prepare for postgraduate studies in India or abroad.
Intensive Placement and Interview Preparation- (Semester 7-8)
Start rigorous preparation for aptitude tests, technical interviews, and HR rounds well in advance. Practice mock interviews, group discussions, and brush up on both core and specialized subjects.
Tools & Resources
Placement preparation books, Online mock test series, Career services workshops, Alumni network
Career Connection
Thorough preparation is paramount for converting interviews into job offers, securing positions in leading companies, and achieving desired career outcomes.
Cultivate Professional Networking and Mentorship- (Semester 6-8)
Connect with alumni, industry experts, and faculty mentors. Attend conferences, webinars, and industry events to build a professional network that can offer guidance and opportunities.
Tools & Resources
LinkedIn, Professional bodies (CSI, IEEE student chapters), College alumni portal
Career Connection
Networking opens doors to hidden job opportunities, provides insights into industry trends, and helps in long-term career planning and growth.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 or equivalent examination with Physics, Mathematics and English as compulsory subjects along with Chemistry or Biotechnology or Biology or Technical Vocational subject as an optional subject from a recognized Board, with minimum 50% marks in Physics, Mathematics and any one of the optional subjects, put together. (As per general MAHE B.Tech eligibility criteria.)
Duration: 8 Semesters / 4 years
Credits: 160 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UEP 1001 | General Proficiency | Lab | 1 | Professional Communication, Soft Skills Development, Public Speaking, Presentation Skills, Group Discussion Techniques |
| MAI 1001 | Calculus and Linear Algebra | Core | 4 | Differential Calculus, Integral Calculus, Sequences and Series, Matrices and Vector Spaces, Linear Transformations |
| PHG 1001 | Engineering Physics | Core | 4 | Quantum Mechanics, Solid State Physics, Lasers and Fiber Optics, Electromagnetism, Materials Science |
| PHG 1002 | Engineering Physics Lab | Lab | 1 | Basic Physics Experiments, Optical Instruments, Semiconductor Devices, Magnetic Properties, Error Analysis |
| CSG 1001 | Programming in C | Core | 3 | C Language Fundamentals, Control Structures, Functions and Arrays, Pointers and Strings, Structures and File I/O |
| CSG 1002 | Programming in C Lab | Lab | 1 | C Programming Practice, Problem Solving, Debugging Techniques, Algorithm Implementation, Data Handling |
| ECG 1001 | Basic Electrical and Electronics Engineering | Core | 3 | DC & AC Circuits, Semiconductor Devices, Amplifiers, Digital Logic Gates, Transducers |
| ECG 1002 | Basic Electrical and Electronics Engineering Lab | Lab | 1 | Circuit Analysis, Diode & Transistor Characteristics, Basic Logic Gate Experiments, Measurement Techniques, Power Supplies |
| MEC 1001 | Engineering Graphics and Design | Core | 2 | Orthographic Projections, Isometric Projections, Sectional Views, CAD Tools Introduction, Geometric Dimensioning & Tolerancing |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| HSS 1001 | Communication Skills in English | Core | 3 | Grammar and Vocabulary, Written Communication, Verbal Communication, Technical Report Writing, Listening and Reading Comprehension |
| MAI 1002 | Ordinary Differential Equations and Multivariable Calculus | Core | 4 | First Order ODEs, Higher Order ODEs, Laplace Transforms, Partial Derivatives, Multiple Integrals |
| CHG 1001 | Engineering Chemistry | Core | 4 | Electrochemistry, Corrosion and its Control, Water Technology, Polymers and Composites, Spectroscopy |
| CHG 1002 | Engineering Chemistry Lab | Lab | 1 | Volumetric Analysis, Instrumental Analysis, Water Quality Testing, Synthesis of Polymers, pH and Conductivity Measurement |
| CSG 1003 | Data Structures | Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting Algorithms, Searching Algorithms |
| CSG 1004 | Data Structures Lab | Lab | 1 | Implementation of Data Structures, Algorithm Efficiency Analysis, Problem Solving with DS, Debugging Data Structures, Recursive Algorithms |
| CSG 1005 | Object-Oriented Programming with C++ | Core | 3 | Classes and Objects, Inheritance and Polymorphism, Encapsulation and Abstraction, Templates and Exception Handling, File I/O in C++ |
| CSG 1006 | Object-Oriented Programming with C++ Lab | Lab | 1 | C++ Programming Practice, OOP Concepts Implementation, Standard Template Library, Object-Oriented Design, Debugging C++ Programs |
| CSE 1001 | Environmental Studies | Core | 2 | Ecosystems and Biodiversity, Environmental Pollution, Natural Resources Management, Sustainable Development, Environmental Ethics |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| HSS 2001 | Engineering Economics | Core | 3 | Demand and Supply Analysis, Cost Analysis, Market Structures, Financial Management, Project Evaluation Techniques |
| MAI 2001 | Probability and Statistics for Engineers | Core | 4 | Probability Distributions, Hypothesis Testing, Regression Analysis, Random Variables, Statistical Inference |
| CSG 2001 | Discrete Mathematics | Core | 4 | Set Theory and Logic, Relations and Functions, Graph Theory, Combinatorics, Recurrence Relations |
| CSG 2002 | Computer Organization and Architecture | Core | 4 | Digital Logic Circuits, CPU Organization, Memory Hierarchy, I/O Organization, Pipelining and Parallel Processing |
| CSG 2003 | Operating Systems | Core | 3 | Process Management, CPU Scheduling, Memory Management, File Systems, Deadlocks and Concurrency |
| CSG 2004 | Operating Systems Lab | Lab | 1 | Shell Programming, Process Synchronization, Memory Allocation, File System Calls, Deadlock Avoidance |
| IT 2001 | Database Management Systems | Core | 3 | ER Modeling, Relational Algebra, SQL Queries, Normalization, Transaction Management |
| IT 2002 | Database Management Systems Lab | Lab | 1 | SQL Practice, Database Design, PL/SQL Programming, NoSQL Databases Introduction, Database Connectivity |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IT 2003 | Design and Analysis of Algorithms | Core | 4 | Algorithm Paradigms, Asymptotic Notations, Greedy Algorithms, Dynamic Programming, Graph Algorithms, NP-Completeness |
| IT 2004 | Theory of Computation | Core | 4 | Finite Automata, Context-Free Grammars, Turing Machines, Decidability and Undecidability, Complexity Classes |
| IT 2005 | Software Engineering | Core | 3 | Software Development Life Cycle, Requirements Engineering, Software Design Principles, Software Testing, Project Management |
| IT 2006 | Software Engineering Lab | Lab | 1 | UML Modeling, Software Project Planning, Test Case Generation, Version Control Systems, Agile Methodologies |
| IT 2007 | Computer Networks | Core | 3 | OSI and TCP/IP Models, Network Topologies, Data Link Layer Protocols, Routing Algorithms, Transport Layer Services |
| IT 2008 | Computer Networks Lab | Lab | 1 | Network Configuration, Socket Programming, Packet Analysis, Network Simulation Tools, Basic Network Security |
| IT 2009 | Web Technologies | Core | 3 | HTML, CSS, JavaScript, Client-Side Scripting, Server-Side Scripting, Web Frameworks (Introduction), Database Connectivity (Web) |
| IT 2010 | Web Technologies Lab | Lab | 1 | Frontend Development, Backend Development, Web Application Deployment, Responsive Design, API Integration |
| IT 2011 | Minor Project – I | Project | 1 | Project Planning, Literature Review, Problem Definition, Basic Implementation, Report Writing |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| HSS 3001 | Professional Ethics and Indian Constitution | Core | 2 | Ethical Theories, Professionalism in Engineering, Cyber Ethics, Indian Constitution Principles, Fundamental Rights and Duties |
| IT 3001 | Object-Oriented Software Engineering | Core | 3 | UML Diagrams, Object-Oriented Design Patterns, Software Architectures, Agile and DevOps Principles, Software Quality Assurance |
| IT 3002 | Artificial Intelligence | Core | 3 | Search Algorithms, Knowledge Representation, Machine Learning Basics, Natural Language Processing, Expert Systems |
| IT 3003 | Artificial Intelligence Lab | Lab | 1 | AI Programming (Python), Search Algorithm Implementation, Knowledge-Based Systems, Simple NLP Applications, AI Toolkits (e.g., scikit-learn basics) |
| IT 3004 | Data Mining | Core | 3 | Data Preprocessing, Classification Algorithms, Clustering Techniques, Association Rule Mining, Data Warehousing Concepts |
| IT 3005 | Data Mining Lab | Lab | 1 | Data Mining Tools (e.g., Weka, RapidMiner), Implementation of Algorithms, Data Visualization, Predictive Modeling, Evaluation Metrics |
| IT XXXX | Professional Elective – I | Elective | 3 | Specialized IT Field 1, Advanced Concepts, Industry Applications, Emerging Technologies, Problem Solving in Elective Domain |
| IT XXXX | Professional Elective – II | Elective | 3 | Specialized IT Field 2, Advanced Concepts, Industry Applications, Emerging Technologies, Problem Solving in Elective Domain |
| IT 3006 | Minor Project – II | Project | 1 | System Design, Module Implementation, Testing and Debugging, Project Documentation, Presentation Skills |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| HSS 3002 | Principles of Management | Core | 3 | Management Functions, Organizational Structure, Human Resource Management, Marketing Management, Operations Management |
| IT 3007 | Machine Learning | Core | 3 | Supervised Learning, Unsupervised Learning, Reinforcement Learning, Model Evaluation, Feature Engineering |
| IT 3008 | Machine Learning Lab | Lab | 1 | ML Frameworks (e.g., TensorFlow, PyTorch), Dataset Handling, Algorithm Implementation, Hyperparameter Tuning, Model Deployment Basics |
| IT 3009 | Cloud Computing | Core | 3 | Cloud Service Models (IaaS, PaaS, SaaS), Deployment Models, Virtualization, Cloud Security, Cloud Storage |
| IT 3010 | Cloud Computing Lab | Lab | 1 | AWS/Azure/GCP Services, Virtual Machine Deployment, Containerization (Docker), Serverless Computing, Cloud Monitoring |
| IT XXXX | Professional Elective – III | Elective | 3 | Specialized IT Field 3, Advanced Concepts, Industry Applications, Emerging Technologies, Problem Solving in Elective Domain |
| IT XXXX | Professional Elective – IV | Elective | 3 | Specialized IT Field 4, Advanced Concepts, Industry Applications, Emerging Technologies, Problem Solving in Elective Domain |
| IT XXXX | Open Elective – I | Elective | 3 | Interdisciplinary Topics, Non-Core Engineering Concepts, Societal Impact of Technology, Entrepreneurship Basics, Arts and Humanities Perspective |
| IT 3011 | Minor Project – III | Project | 1 | Advanced System Design, Integration Testing, Performance Optimization, User Acceptance Testing, Scalability Considerations |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IT 4001 | Internet of Things | Core | 3 | IoT Architecture, Sensors and Actuators, IoT Communication Protocols, Edge Computing, IoT Security and Privacy |
| IT 4002 | Internet of Things Lab | Lab | 1 | Arduino/Raspberry Pi Programming, Sensor Interfacing, Cloud Platform Integration (IoT), Data Visualization (IoT), Building IoT Prototypes |
| IT XXXX | Professional Elective – V | Elective | 3 | Specialized IT Field 5, Advanced Concepts, Industry Applications, Emerging Technologies, Problem Solving in Elective Domain |
| IT XXXX | Professional Elective – VI | Elective | 3 | Specialized IT Field 6, Advanced Concepts, Industry Applications, Emerging Technologies, Problem Solving in Elective Domain |
| IT XXXX | Open Elective – II | Elective | 3 | Interdisciplinary Topics, Non-Core Engineering Concepts, Societal Impact of Technology, Entrepreneurship Basics, Arts and Humanities Perspective |
| IT 4003 | Major Project (Part – I) | Project | 4 | Advanced Problem Identification, Comprehensive Literature Review, Detailed System Design, Proof of Concept Development, Interim Report and Presentation |
| IT 4004 | Industrial Internship / Project Based Learning | Project | 2 | Real-world Industry Exposure, Application of Theoretical Knowledge, Professional Work Ethic, Teamwork and Collaboration, Project Reporting |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IT 4005 | Major Project (Part – II) | Project | 8 | Full System Implementation, Extensive Testing and Validation, Performance Optimization, Final Report Writing, Project Defense (Viva Voce) |
| IT 4006 | Comprehensive Viva Voce | Core | 2 | Overall Program Knowledge, Technical Communication, Problem-Solving Aptitude, Subject Matter Expertise, Current Industry Trends |