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MASTER-OF-SCIENCE in Computer Science at JSS College of Arts, Commerce & Science
Mysuru, Karnataka
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About the Specialization
What is Computer Science at JSS College of Arts, Commerce & Science Mysuru?
This Master of Science in Computer Science program at JSS College of Arts, Commerce and Science, Mysuru, focuses on advanced concepts in theoretical and applied computer science. The curriculum emphasizes core areas like data structures, algorithms, databases, networking, and emerging fields such as data mining, machine learning, and cybersecurity. It prepares students to tackle complex computational challenges relevant to India''''s burgeoning IT sector, ensuring a strong foundation for both research and industry roles.
Who Should Apply?
This program is ideal for Bachelor of Science graduates with a strong foundation in computer science and mathematics who are seeking entry into the advanced computing industry in India. It also suits working professionals looking to upskill in cutting-edge technologies like AI/ML or cybersecurity. Career changers with relevant foundational knowledge aiming for leadership or specialized roles within the Indian tech landscape will also find this program beneficial.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including roles as software developers, data scientists, machine learning engineers, cybersecurity analysts, and system architects. Entry-level salaries typically range from INR 4-7 LPA, growing significantly with experience. The program aligns with industry demands for skilled professionals, opening doors to careers in major Indian IT firms, startups, and public sector organizations.
Student Success Practices
Foundation Stage
Master Core Programming and Data Structures- (Semester 1-2)
Consistently practice coding problems based on data structures and algorithms using Java. Aim to solve at least 3-4 problems weekly on platforms to build a strong logical foundation for technical assessments.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, Sololearn (Java tutorials)
Career Connection
Strong DSA skills are fundamental for technical interviews at top Indian IT companies and startups, critical for securing Software Development Engineer roles.
Build a Strong Database and Networking Foundation- (Semester 1-2)
Get hands-on with SQL, designing and querying databases. Simultaneously, understand network concepts by setting up basic network simulations or working with network monitoring tools.
Tools & Resources
MySQL Workbench, PostgreSQL, Cisco Packet Tracer, Wireshark
Career Connection
Essential for roles in backend development, database administration, network engineering, and cybersecurity, which are high-demand areas in the Indian job market.
Engage in Peer Learning and Group Projects- (Semester 1-2)
Form study groups to discuss complex topics, share understanding, and collaborate on small academic projects. Present solutions to peers to solidify learning and improve communication skills.
Tools & Resources
GitHub for collaborative coding, Google Meet/Zoom for virtual study sessions
Career Connection
Develops teamwork and communication skills, highly valued in corporate environments for project-based work and cross-functional collaboration in the Indian IT sector.
Intermediate Stage
Specialize with Electives and Certifications- (Semester 3-4)
Deep dive into chosen elective areas like Cloud Computing, Big Data, or Machine Learning. Pursue industry certifications (e.g., AWS Cloud Practitioner, Google Cloud Associate) to validate specialized skills.
Tools & Resources
Official certification study guides, Coursera, Udemy, Edureka
Career Connection
Differentiates your profile, opens doors to specialized roles (e.g., Cloud Engineer, Data Analyst) in the rapidly expanding Indian tech market, enhancing employability.
Participate in Hackathons and Coding Competitions- (Semester 3-4)
Actively participate in intra-college, inter-college, and national-level hackathons (e.g., Smart India Hackathon). This provides practical problem-solving experience under time pressure.
Tools & Resources
Devfolio, Major League Hacking (MLH), College/University hackathon platforms
Career Connection
Showcases practical skills, innovation, and ability to work in teams, highly impressive to recruiters for Indian product and service companies, boosting placement prospects.
Pursue Internships and Industry Projects- (Semester 3-4)
Seek out internships in relevant tech companies during semester breaks or pursue industry-sponsored projects. Apply theoretical knowledge to real-world problems and gain practical insights.
Tools & Resources
LinkedIn, Internshala, College placement cell
Career Connection
Provides invaluable practical experience, builds professional networks, and significantly boosts chances for pre-placement offers or full-time roles in the Indian IT industry.
Advanced Stage
Focus on Capstone Project Excellence- (Semester 4)
Dedicate significant effort to the final semester project. Choose a challenging, industry-relevant topic, and aim for a high-quality implementation and thorough documentation to showcase your expertise.
Tools & Resources
Project management tools (Jira, Trello), Advanced IDEs, Specific libraries/frameworks for project domain
Career Connection
A strong project is a powerful resume builder, demonstrating advanced skills and problem-solving abilities to potential employers in India, crucial for securing placements.
Refine Interview Skills and Portfolio- (Semester 4)
Prepare comprehensively for technical and HR interviews. Practice mock interviews, review core CS concepts, and build a professional portfolio of projects (e.g., GitHub, personal website).
Tools & Resources
Pramp (mock interviews), LinkedIn for networking, GitHub for portfolio
Career Connection
Essential for securing placements in leading Indian IT firms, startups, and MNCs operating in India, directly impacting job offer conversions.
Network with Alumni and Industry Mentors- (Semester 4)
Leverage the college alumni network and actively seek mentorship from professionals in your target industry. Attend career fairs and industry events to expand your professional connections.
Tools & Resources
LinkedIn, College alumni portals, Industry association events
Career Connection
Provides insights into industry trends, potential job leads, and career guidance for navigating the competitive Indian job market and accelerating career growth.
Program Structure and Curriculum
Eligibility:
- A candidate who has passed B.Sc. degree of this University or any other University recognized as equivalent thereto, with Computer Science as a Major/Optional/Cognate Subject along with any two subjects from Physics/Mathematics/Statistics/Electronics/B.C.A. with 40% of marks in aggregate and 50% of marks in Computer Science subject or equivalent grade. Provided that the candidate has studied Mathematics as one of the subjects at B.Sc. level.
Duration: 4 semesters / 2 years
Credits: 96 Credits
Assessment: Internal: 20%, External: 80%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSC 401 | Data Structures and Algorithms | Core | 4 | Introduction to Data Structures, Arrays, Stacks, Queues, Linked Lists, Trees and Graphs, Searching and Sorting Algorithms, Hashing |
| CSC 402 | Object-Oriented Programming using Java | Core | 4 | Introduction to Java and OOP Concepts, Classes, Objects, Inheritance, Polymorphism, Interfaces, Packages, Exception Handling, Multithreading |
| CSC 403 | Operating Systems | Core | 4 | Introduction to OS Concepts, Process Management and CPU Scheduling, Deadlocks, Memory Management and Virtual Memory, File Systems and I/O Systems |
| CSC 404 | Discrete Mathematics | Core | 4 | Mathematical Logic and Set Theory, Relations and Functions, Graph Theory and Trees, Algebraic Structures, Lattices and Boolean Algebra |
| CSCP 405 | Data Structures and Algorithms Lab | Core Practical | 2 | Implementation of Linked Lists, Stacks and Queues operations, Tree and Graph traversals, Sorting and Searching algorithms, Dynamic memory allocation |
| CSCP 406 | Object-Oriented Programming using Java Lab | Core Practical | 2 | Java program development, Inheritance and Polymorphism exercises, Package and Interface implementation, Exception Handling scenarios, Multithreading applications |
| SDA/OEE 1 | Open Elective - I | Open Elective | 4 |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSC 451 | Design and Analysis of Algorithms | Core | 4 | Algorithm Analysis and Asymptotic Notations, Divide and Conquer Strategy, Greedy Algorithms, Dynamic Programming, NP-hard and NP-complete problems, Backtracking and Branch and Bound |
| CSC 452 | Database Management Systems | Core | 4 | Introduction to DBMS and ER Model, Relational Model and Relational Algebra, SQL Queries and Operations, Normalization and Data Integrity, Transaction Management and Concurrency Control |
| CSC 453 | Computer Networks | Core | 4 | Network Topologies and Layers, OSI and TCP/IP Models, Data Link Layer Protocols, Network Layer Addressing and Routing, Transport Layer Protocols (TCP/UDP), Application Layer Protocols |
| CSC 454 | Theory of Computation | Core | 4 | Finite Automata and Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines, Computability and Undecidability |
| CSCP 455 | Database Management Systems Lab | Core Practical | 2 | SQL DDL and DML commands, Table creation and manipulation, Joins and subqueries, Transaction control commands, Database triggers and functions |
| CSCP 456 | Computer Networks Lab | Core Practical | 2 | Network configuration and troubleshooting, Socket programming (TCP/UDP), Packet sniffing and analysis, Router and switch configurations, Network security tools |
| SDA/OEE 2 | Open Elective - II | Open Elective | 4 |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSC 501 | Data Mining and Data Warehousing | Core | 4 | Introduction to Data Mining, Data Preprocessing and Warehousing, OLAP and Multidimensional Data, Association Rule Mining, Classification and Clustering Techniques, Web and Text Mining |
| CSC 502 | Soft Computing | Core | 4 | Introduction to Soft Computing Paradigms, Fuzzy Logic and Fuzzy Sets, Artificial Neural Networks, Genetic Algorithms, Hybrid Soft Computing Systems |
| CSC 503 | Cyber Security | Core | 4 | Fundamentals of Cyber Security, Cryptography and Network Security, Application Security, Cyber Forensics, Security Policies and Standards |
| CSE 504 (A) | Cloud Computing | Elective | 4 | Introduction to Cloud Computing, Cloud Service Models (IaaS, PaaS, SaaS), Cloud Deployment Models, Virtualization Technology, Cloud Security and Management, Cloud Platforms (AWS/Azure basics) |
| CSCP 505 | Data Mining and Data Warehousing Lab | Core Practical | 2 | Data preprocessing using tools, Building Data Warehouse/Marts, Implementing Association Rule algorithms, Classification and Clustering using WEKA/R, Data Visualization |
| CSCP 506 | Soft Computing Lab | Core Practical | 2 | Fuzzy logic system implementation, Neural Network training and testing, Genetic Algorithm optimization problems, Hybrid system development, Problem solving using Python/MATLAB |
| SDA/OEE 3 | Open Elective - III | Open Elective | 4 |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSC 551 | Machine Learning | Core | 4 | Introduction to Machine Learning, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Reinforcement Learning Basics, Model Evaluation and Validation, Introduction to Deep Learning |
| CSC 552 | Web Technologies | Core | 4 | HTML, CSS, and JavaScript Fundamentals, Client-Server Architecture, Web Servers and Web Services, AJAX and XML, Responsive Web Design, Introduction to Web Frameworks |
| CSE 553 (B) | Internet of Things | Elective | 4 | Introduction to IoT Architecture, Sensors, Actuators, and Embedded Systems, IoT Communication Protocols (MQTT, CoAP), IoT Cloud Platforms, IoT Security Challenges, Smart applications development |
| CSCP 554 | Machine Learning Lab | Core Practical | 2 | Data loading and preprocessing with Python, Implementing Regression models, Implementing Classification algorithms, Clustering techniques using Scikit-learn, Basic neural network implementation |
| CSCP 555 | Web Technologies Lab | Core Practical | 2 | Building dynamic web pages with HTML/CSS/JS, Client-side scripting for validation, Server-side interaction using AJAX, Developing web forms and responsive layouts, Using web development tools |
| CSP 556 | Project Work | Project | 8 | System Requirement Analysis, Software Design and Architecture, Implementation and Coding, Testing and Debugging, Project Documentation and Presentation |
