B-TECH in Computer Science And Engineering at Manipal Academy of Higher Education
Udupi, Karnataka
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About the Specialization
What is Computer Science and Engineering at Manipal Academy of Higher Education Udupi?
This Computer Science and Engineering program at Manipal Academy of Higher Education focuses on foundational theoretical knowledge and practical application, preparing students for the dynamic Indian IT industry. It covers core areas like data structures, algorithms, operating systems, and artificial intelligence, with an emphasis on developing robust problem-solving skills highly sought after in the evolving tech landscape. The curriculum is designed to meet the demands of innovation-driven roles in India''''s technology hubs.
Who Should Apply?
This program is ideal for high school graduates with a strong aptitude for mathematics and logical reasoning seeking entry into the technology sector. It also caters to individuals passionate about developing software, exploring data science, or contributing to cutting-edge areas like AI and cybersecurity. Prerequisites include a solid foundation in science and mathematics from 10+2, ensuring students are well-prepared for rigorous technical coursework.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths, including Software Developer, Data Scientist, AI/ML Engineer, Cybersecurity Analyst, and Cloud Architect. Entry-level salaries typically range from INR 6-12 LPA, with significant growth potential as experience accrues in Indian and multinational companies. The program also aligns with requirements for various professional certifications, enhancing employability in a competitive job market.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Focus rigorously on mastering C and object-oriented programming (OOP) concepts. Regularly practice coding problems on platforms to solidify logic and syntax, building a strong base for advanced topics.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, CodeChef, NPTEL courses on C/Java
Career Connection
Strong foundational coding is essential for cracking technical interviews at product-based companies and building efficient, scalable software in any engineering role.
Build a Strong Mathematical and Scientific Base- (Semester 1-2)
Pay close attention to Engineering Mathematics, Physics, and Chemistry. These subjects build critical analytical thinking and problem-solving skills, which are crucial for advanced computer science concepts like algorithms, data science, and machine learning.
Tools & Resources
Khan Academy, NPTEL, standard university textbooks, peer study groups
Career Connection
Analytical rigor is vital for roles in research, algorithm development, and designing robust systems, providing a competitive edge in advanced technical fields.
Engage in Hands-on Engineering Practice- (Semester 1-2)
Actively participate in engineering graphics, workshop practices, and basic electrical/electronics labs. Understanding hardware fundamentals improves comprehension of software-hardware interaction and broadens engineering perspective.
Tools & Resources
Lab manuals, YouTube tutorials for practical skills, exploring open-source hardware projects like Arduino and Raspberry Pi
Career Connection
Provides a holistic understanding of engineering principles, valuable for roles in embedded systems, IoT development, and appreciating physical system constraints in software design.
Intermediate Stage
Deep Dive into Data Structures and Algorithms (DSA)- (Semester 3-4)
Continuously practice DSA problems beyond coursework. Participate in competitive programming challenges on platforms like Codeforces and solve diverse problems to enhance problem-solving speed and coding efficiency.
Tools & Resources
TopCoder, Codeforces, InterviewBit, books like ''''Cracking the Coding Interview''''
Career Connection
DSA proficiency is the cornerstone of technical interviews for product-based companies and fundamental for developing efficient and optimized software solutions across industries.
Explore Industry-Relevant Projects and Internships- (Semester 4-5)
Seek out mini-projects, hackathons, and early internships. Apply theoretical knowledge to build practical applications in areas like web development, mobile apps, or basic AI, demonstrating real-world problem-solving.
Tools & Resources
GitHub for project showcases, LinkedIn for internship searches, university career services, local tech meetups and workshops
Career Connection
Practical experience builds a strong project portfolio, enhances your resume, and provides crucial exposure to real-world software development processes and industry standards.
Specialize with Electives and Self-Learning- (Semester 4-5)
Strategically choose program electives that align with your career interests (e.g., AI/ML, Cybersecurity, Cloud Computing). Supplement classroom learning with online courses to build deeper expertise in your chosen domain.
Tools & Resources
Coursera, Udemy, edX, NPTEL, specific company blogs (e.g., Google AI blog, Microsoft Azure blog)
Career Connection
Specialization helps in targeting specific job roles and demonstrating focused expertise to recruiters, giving you a significant edge in competitive and niche technical fields.
Advanced Stage
Undertake a Significant Major Project- (Semester 7-8)
Work on a challenging major project, preferably industry-sponsored or research-oriented, demonstrating end-to-end development, complex problem-solving, and effective teamwork. Focus on innovative solutions.
Tools & Resources
Project management tools (Jira, Trello), version control (Git), guidance from academic supervisors and industry mentors
Career Connection
A strong major project is a powerful resume booster, showcasing practical skills, innovation, and readiness for complex engineering roles, often leading directly to job offers.
Focus on Placement Preparation and Networking- (Semester 6-8)
Start early preparation for interviews—brush up on technical concepts, practice aptitude tests, and develop strong communication skills. Actively network with alumni and industry professionals through workshops and seminars.
Tools & Resources
University placement cell, mock interviews, Glassdoor for company insights, LinkedIn for professional connections, professional societies like IEEE/ACM
Career Connection
Directly impacts securing desired job offers in top-tier companies, leveraging network for referrals, and gaining insights into industry trends and recruitment strategies.
Explore Advanced Certifications and Research- (Semester 7-8)
Consider pursuing industry-recognized certifications (e.g., AWS Certified Developer, Azure Data Scientist, CompTIA Security+) or engaging in research publications if interested in higher studies or R&D roles.
Tools & Resources
Official certification guides and practice tests, research papers on IEEE Xplore/ACM Digital Library, university research groups and faculty mentorship
Career Connection
Enhances professional credibility, opens doors to specialized roles, and positions individuals for academic pursuits or advanced research and development careers, both in India and abroad.
Program Structure and Curriculum
Eligibility:
- Pass in 10+2 or equivalent with Physics, Mathematics, and English as compulsory subjects along with Chemistry / Biotechnology / Biology / Technical Vocational subject from a recognized Board, with minimum 50% aggregate marks taken together in Physics, Mathematics and any one of the optional subjects.
Duration: 8 semesters / 4 years
Credits: 160 Credits
Assessment: Internal: 50% (for theory courses) / 100% (for lab/project/seminar courses), External: 50% (for theory courses) / 0% (for lab/project/seminar courses)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UEC 1010 | Engineering Mathematics - I | Core | 4 | Differential Calculus, Integral Calculus, Multivariable Calculus, Linear Algebra, First Order Differential Equations |
| UEC 1020 | Engineering Physics | Core | 3 | Wave Optics, Quantum Mechanics, Solid State Physics, Lasers and Fiber Optics, Electromagnetism |
| UEC 1021 | Engineering Physics Lab | Lab | 1 | Optical Interference and Diffraction, Semiconductor Diode Characteristics, LCR Circuits, Photoelectric Effect, Magnetic Fields |
| UEC 1030 | Engineering Chemistry | Core | 3 | Chemical Thermodynamics, Electrochemistry, Corrosion Science, Organic Reaction Mechanisms, Environmental Chemistry |
| UEC 1031 | Engineering Chemistry Lab | Lab | 1 | Volumetric Analysis, pH Metry, Conductometry, Spectrophotometry, Preparation of Organic Compounds |
| UEC 1040 | Basic Electrical and Electronics Engineering | Core | 4 | DC and AC Circuits, Transformers, Semiconductor Devices, Transistors, Basic Logic Gates |
| UEC 1050 | Problem Solving and Programming | Core | 3 | Programming Fundamentals, C Language Syntax, Control Structures, Functions and Arrays, Pointers and Strings |
| UEC 1051 | Problem Solving and Programming Lab | Lab | 1 | C Program Development, Debugging Techniques, Array and String Manipulation, Function Implementation, File Handling |
| UHU 1060 | Professional Communication | Core | 2 | Communication Models, Technical Writing, Oral Presentations, Group Discussions, Interpersonal Skills |
| UEC 1070 | Engineering Graphics | Core | 1.5 | Orthographic Projections, Sectional Views, Isometric Projections, AutoCAD Basics, Dimensioning |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UEC 2010 | Engineering Mathematics - II | Core | 4 | Partial Differential Equations, Laplace Transforms, Fourier Series, Vector Spaces, Numerical Methods |
| UCS 2020 | Data Structures and Algorithms | Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting Algorithms, Searching Algorithms |
| UCS 2021 | Data Structures and Algorithms Lab | Lab | 1 | Implementation of Linear Data Structures, Implementation of Non-Linear Data Structures, Algorithm Complexity Analysis, Recursive Algorithms, Graph Traversal Algorithms |
| UCS 2030 | Digital System Design | Core | 3 | Boolean Algebra, Combinational Logic Circuits, Sequential Logic Circuits, Registers and Counters, Memory and Programmable Logic |
| UCS 2031 | Digital System Design Lab | Lab | 1 | Logic Gates Implementation, Flip-Flops and Latches, Sequential Circuit Design, HDL Programming (Verilog/VHDL), Adder/Subtractor Circuits |
| UHU 2040 | Universal Human Values and Ethics | Core | 2 | Self-Exploration, Harmony in the Family, Harmony in Society, Harmony in Nature, Professional Ethics |
| UEC 2050 | Basic Environmental Science and Sustainable Development | Core | 2 | Ecosystems, Environmental Pollution, Renewable Energy Resources, Biodiversity, Sustainable Practices |
| UEC 2060 | Engineering Workshop | Lab | 1.5 | Carpentry, Welding, Sheet Metal Operations, Fitting, 3D Printing and Basic Machining |
| UEC 2070 | Probability, Statistics and Queuing Theory | Core | 3 | Probability Theory, Random Variables, Probability Distributions, Statistical Inference, Queuing Models |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UEC 3010 | Engineering Mathematics - III | Core | 4 | Complex Analysis, Fourier Transforms, Z-Transforms, Vector Calculus, Special Functions |
| UCS 3020 | Object Oriented Programming | Core | 3 | OOP Concepts (Encapsulation, Inheritance), Polymorphism and Abstraction, Exception Handling, Input/Output Operations, Generics and Collections |
| UCS 3021 | Object Oriented Programming Lab | Lab | 1 | Class and Object Implementation, Inheritance and Interface Design, Exception Handling in Java/C++, GUI Development Basics, Multithreading Applications |
| UCS 3030 | Computer Organization and Architecture | Core | 4 | CPU Design, Instruction Set Architecture, Memory Hierarchy, Input/Output Organization, Pipelining and Parallel Processing |
| UCS 3040 | Operating Systems | Core | 3 | Process Management, CPU Scheduling, Memory Management, Virtual Memory, File Systems and I/O Systems |
| UCS 3041 | Operating Systems Lab | Lab | 1 | Linux Commands and Shell Scripting, System Calls, Process and Thread Management, Inter-Process Communication, Memory Allocation Algorithms |
| UCS 3050 | Database Management Systems | Core | 3 | Relational Model, SQL Queries, ER Diagrams, Normalization, Transaction Management and Concurrency Control |
| UCS 3051 | Database Management Systems Lab | Lab | 1 | SQL DDL and DML Operations, Database Design, PL/SQL Programming, Report Generation, Database Connectivity |
| UPE 3XXX | Program Elective - I | Elective | 4 | Topics vary based on chosen specialization track (e.g., Computer Systems Engineering, Software Engineering, Data Science). |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UEC 4010 | Optimization Techniques for Engineers | Core | 3 | Linear Programming, Simplex Method, Transportation and Assignment Problems, Non-Linear Programming, Dynamic Programming |
| UCS 4020 | Design and Analysis of Algorithms | Core | 3 | Algorithm Analysis Techniques, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms |
| UCS 4021 | Design and Analysis of Algorithms Lab | Lab | 1 | Implementation of Sorting and Searching Algorithms, Dynamic Programming Problems, Graph Traversal Algorithms, Algorithm Efficiency Measurement, Problem Solving with Data Structures |
| UCS 4030 | Computer Networks | Core | 3 | OSI and TCP/IP Models, Data Link Layer Protocols, Network Layer Protocols (IP, Routing), Transport Layer Protocols (TCP, UDP), Application Layer Protocols (HTTP, DNS) |
| UCS 4031 | Computer Networks Lab | Lab | 1 | Socket Programming, Network Packet Analysis, Routing Protocols Configuration, Network Security Tools, Client-Server Application Development |
| UCS 4040 | Theory of Computation | Core | 4 | Finite Automata, Regular Expressions and Languages, Context-Free Grammars, Turing Machines, Decidability and Undecidability |
| UCS 4050 | Software Engineering | Core | 3 | Software Development Life Cycle, Requirements Engineering, Software Design, Software Testing, Software Project Management |
| UCS 4060 | Artificial Intelligence | Core | 3 | Intelligent Agents, Search Algorithms, Knowledge Representation, Machine Learning Fundamentals, Natural Language Processing Basics |
| UPE 4XXX | Program Elective - II | Elective | 2 | Topics vary based on chosen specialization track (e.g., AI and ML, Cyber Security, Cloud Computing). |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UCS 5010 | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis (Parsing), Intermediate Code Generation, Runtime Environments, Code Optimization |
| UCS 5011 | Compiler Design Lab | Lab | 1 | Lexical Analyzer Implementation, Parser Implementation (LL/LR), Symbol Table Management, Intermediate Code Generation, Compiler Tools (Lex/Yacc) |
| UCS 5020 | Web Technologies | Core | 3 | HTML5 and CSS3, JavaScript and DOM, Server-side Scripting (e.g., Node.js, Python), Web Frameworks, Database Integration for Web Applications |
| UCS 5021 | Web Technologies Lab | Lab | 1 | Responsive Web Design, Client-side Scripting (React/Angular/Vue), Backend Development, API Development, Deployment of Web Applications |
| UCS 5030 | Professional Practice and Project Management | Core | 3 | Professional Ethics in Engineering, Intellectual Property Rights, Project Planning and Scheduling, Risk Management, Teamwork and Communication |
| UCS 5040 | Mini Project | Project | 2 | Problem Identification, Literature Review, System Design, Implementation and Testing, Report Writing and Presentation |
| UPE 5XXX | Program Elective - III | Elective | 3 | Topics vary based on chosen specialization track (e.g., Data Science, AI & ML, Cyber Security, Software Engineering). |
| UPE 5XXY | Program Elective - IV | Elective | 3 | Topics vary based on chosen specialization track (e.g., Computer Systems, Networks, Cloud Technologies). |
| UOE 5XXX | Open Elective - I | Elective | 2.5 | Topics are interdisciplinary, chosen from a broad basket of subjects offered by other departments. |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UCS 6010 | Machine Learning | Core | 3 | Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Deep Learning Fundamentals, Model Evaluation and Validation, Feature Engineering |
| UCS 6011 | Machine Learning Lab | Lab | 1 | Python for Machine Learning, Scikit-learn and TensorFlow/PyTorch, Data Preprocessing, Model Training and Testing, Hyperparameter Tuning |
| UCS 6020 | Cryptography and Network Security | Core | 3 | Symmetric Key Cryptography, Asymmetric Key Cryptography, Hashing and Digital Signatures, Network Security Protocols (SSL/TLS), Firewalls and Intrusion Detection Systems |
| UCS 6030 | Distributed Computing | Core | 3 | Distributed System Architectures, Inter-Process Communication, Distributed File Systems, Distributed Transaction Management, Consensus and Replication |
| UCS 6040 | Industrial Training / Internship | Project | 4 | Industry Exposure, Practical Skill Application, Project Implementation in Industry Setting, Professional Etiquette, Report and Presentation |
| UPE 6XXX | Program Elective - V | Elective | 4 | Topics vary based on chosen specialization track (e.g., Computer Systems, Software Engineering, Data Science). |
| UPE 6XXY | Program Elective - VI | Elective | 2 | Topics vary based on chosen specialization track (e.g., AI and ML, Cyber Security, Cloud Computing). |
| UOE 6XXX | Open Elective - II | Elective | 2 | Topics are interdisciplinary, chosen from a broad basket of subjects offered by other departments. |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UCS 7010 | Major Project - I | Project | 6 | Problem Identification and Scope Definition, Extensive Literature Survey, System Design and Architecture, Partial Implementation and Prototyping, Interim Report and Presentation |
| UCS 7020 | Professional Communication - II | Core | 2 | Advanced Presentation Skills, Technical Report Writing, Interview Techniques, Negotiation Skills, Business Etiquette |
| UPE 7XXX | Program Elective - VII | Elective | 3 | Topics vary based on chosen specialization track (e.g., Advanced Database Systems, Image Processing, IoT). |
| UPE 7XXY | Program Elective - VIII | Elective | 3 | Topics vary based on chosen specialization track (e.g., Big Data Analytics, Natural Language Processing, Blockchain). |
| UOE 7XXX | Open Elective - III | Elective | 3 | Topics are interdisciplinary, chosen from a broad basket of subjects offered by other departments. |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UCS 8010 | Major Project - II | Project | 6 | Complete System Implementation, Rigorous Testing and Debugging, Performance Evaluation and Optimization, Comprehensive Documentation, Final Presentation and Viva Voce |
| UPE 8XXX | Program Elective - IX | Elective | 2 | Topics vary based on chosen specialization track (e.g., Quantum Computing, DevOps, Game Development). |
| UPE 8XXY | Program Elective - X | Elective | 2 | Topics vary based on chosen specialization track (e.g., Robotics, Computer Vision, Ethical Hacking). |