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MASTER-OF-SCIENCE in It at JSS Science and Technology University
Mysuru, Karnataka
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About the Specialization
What is IT at JSS Science and Technology University Mysuru?
This Master of Science in Information Technology program at JSS Science and Technology University (including Sri Jayachamarajendra College of Engineering) focuses on advanced concepts and applications in the IT domain. It addresses the growing need for skilled IT professionals in India by providing a strong foundation in cutting-edge technologies like Big Data, Machine Learning, Cloud Computing, and Network Security, preparing students for diverse roles in the rapidly evolving Indian tech industry.
Who Should Apply?
This program is ideal for aspiring IT professionals, fresh graduates with a BCA or B.Sc. in Computer Science/IT/Mathematics, and working professionals seeking to upskill in advanced IT disciplines. It caters to individuals passionate about developing expertise in software development, data analytics, network administration, and cybersecurity, enabling them to transition into leadership or specialized technical roles within the Indian IT sector.
Why Choose This Course?
Graduates of this program can expect to secure roles as Data Scientists, Cloud Engineers, Cybersecurity Analysts, Machine Learning Engineers, or Full Stack Developers in India. Entry-level salaries typically range from INR 4-7 lakhs per annum, with experienced professionals earning significantly more. The curriculum aligns with industry demands, fostering growth trajectories in leading Indian and multinational IT companies, often supported by professional certifications in relevant technologies.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Consistently practice coding challenges on platforms like HackerRank or LeetCode to solidify understanding of data structures, algorithms, and object-oriented programming. Focus on efficiency and problem-solving techniques.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, Sololearn
Career Connection
Strong foundational coding skills are crucial for technical interviews and developing robust software solutions, directly impacting placement success in Indian IT companies.
Participate in Mini-Projects and Workshops- (Semester 1-2)
Engage in department-organized workshops and complete small-scale projects using technologies learned in core courses like Computer Networks or Web Technologies. This practical application enhances theoretical knowledge.
Tools & Resources
GitHub, VS Code, Local workshop platforms
Career Connection
Building a portfolio of mini-projects demonstrates practical skills and initiative to potential employers, making resumes more attractive for entry-level roles.
Form Study Groups for Peer Learning- (Semester 1-2)
Collaborate with peers to discuss complex topics, solve problems together, and review course material. Peer teaching reinforces understanding and develops teamwork skills essential for collaborative project work.
Tools & Resources
Google Meet, Discord, Campus study spaces
Career Connection
Teamwork and communication are vital in the Indian IT industry. Effective collaboration skills gained here will be invaluable in future professional roles and group projects.
Intermediate Stage
Specialize through Electives and Certifications- (Semester 3)
Strategically choose elective subjects that align with your career interests (e.g., Data Science, IoT, AI). Complement classroom learning with professional certifications from platforms like Coursera, edX, or NPTEL in your chosen specialization.
Tools & Resources
Coursera, edX, NPTEL, Udemy, AWS Certifications
Career Connection
Specialization makes you a more targeted and valuable candidate for specific roles, improving job prospects and salary potential in niche IT areas within India.
Pursue Practical Industry Internships- (Semester 3 (summer break))
Actively seek and complete internships during semester breaks or as part of the curriculum. Gain hands-on experience in a real-world corporate environment, applying academic knowledge to practical challenges.
Tools & Resources
LinkedIn, Internshala, College placement cell
Career Connection
Internships provide crucial industry exposure, networking opportunities, and often lead to pre-placement offers, significantly boosting career launch in the Indian tech sector.
Participate in Hackathons and Coding Competitions- (Semester 3)
Join hackathons and coding challenges organized by colleges or companies. This hones problem-solving under pressure, fosters innovation, and provides networking opportunities with industry professionals.
Tools & Resources
Major League Hacking (MLH), Kaggle, Company hackathon portals
Career Connection
Demonstrates initiative, technical prowess, and the ability to work in teams, which are highly valued by recruiters for roles in dynamic Indian startups and established firms.
Advanced Stage
Focus on Capstone Project and Thesis- (Semester 4)
Dedicate significant effort to your M.Sc. project (Phase I and II) and thesis. Choose a challenging problem, conduct thorough research, implement a robust solution, and document it professionally according to academic standards.
Tools & Resources
Research papers (IEEE Xplore, ACM Digital Library), Development environments, LaTeX for thesis writing
Career Connection
A strong project showcases your ability to independently tackle complex problems, a critical skill for R&D roles, product development, and even entrepreneurship in India.
Intensive Placement Preparation- (Semester 4)
Start preparing for placements well in advance. Practice aptitude tests, mock technical interviews, HR interviews, and refine your resume and LinkedIn profile. Leverage the college''''s placement cell resources and alumni network.
Tools & Resources
Placement training modules, Interview preparation platforms (e.g., InterviewBit), Resume builders, LinkedIn
Career Connection
Effective preparation significantly increases chances of securing desired job roles with competitive packages immediately after graduation from Indian institutions.
Network with Alumni and Industry Mentors- (Semester 4 and beyond)
Actively connect with alumni and professionals in your target industry through LinkedIn, college alumni events, and industry conferences. Seek mentorship and insights into career paths and emerging trends in the Indian market.
Tools & Resources
LinkedIn, Alumni networks, Industry events and seminars
Career Connection
Networking can open doors to job opportunities, mentorship, and invaluable career advice, helping you navigate your post-graduation journey effectively within the Indian IT landscape.
Program Structure and Curriculum
Eligibility:
- BCA/B.Sc. in Computer Science/Information Science/Computer Applications/Mathematics/Statistics/Physics/Electronics/B.Sc. in PCM/PMCs with a minimum of 50% marks in aggregate (45% for SC/ST/Category-I of Karnataka). Mathematics must have been studied at 10+2 or degree level. Selection is based on an entrance exam conducted by JSS STU.
Duration: 4 semesters (2 years)
Credits: 80 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MITS110 | Advanced Data Structures | Core Theory | 4 | Data Structures Fundamentals, Analysis of Algorithms, Trees and Graph Algorithms, Hashing Techniques, Priority Queues and Heaps |
| MITS120 | Advanced Operating Systems | Core Theory | 4 | Operating System Concepts, Distributed Operating Systems, Distributed Deadlock Detection, Distributed File Systems, Security in Distributed Systems |
| MITS130 | Object Oriented Analysis and Design | Core Theory | 4 | Object-Oriented Concepts, UML Diagrams and Modeling, Object-Oriented Design Principles, Design Patterns, Software Architecture |
| MITS140 | Computer Networks | Core Theory | 4 | Network Architecture and Protocols, Data Link Layer Issues, Network Layer Addressing and Routing, Transport Layer Services, Application Layer Protocols |
| MITS15L | Data Structures Lab | Core Lab | 2 | Array and Linked List Implementations, Stack and Queue Operations, Tree Traversals, Graph Algorithms, Sorting and Searching Algorithms |
| MITS16L | Networks and OS Lab | Core Lab | 2 | Linux Commands and Shell Scripting, Process and Thread Management, Socket Programming, Network Configuration, RPC and RMI Implementation |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MITS210 | Cryptography and Network Security | Core Theory | 4 | Security Attacks and Services, Symmetric Key Cryptography, Asymmetric Key Cryptography, Hash Functions and Digital Signatures, Network Security Applications |
| MITS220 | Big Data Analytics | Core Theory | 4 | Big Data Concepts and Challenges, Hadoop Ecosystem, MapReduce Programming Model, NoSQL Databases, Data Streaming and Processing |
| MITS230 | Web Technologies | Core Theory | 4 | Web Architecture and Protocols, HTML5 and CSS3, Client-side Scripting (JavaScript), Server-side Programming (PHP/JSP), Web Services and APIs |
| MITS24X | Elective 1 (Choose one from the list) | Elective Theory | 4 | MITS241: Software Project Management - Project Planning, Risk Management, Software Metrics, Project Control, MITS242: Software Testing - Testing Fundamentals, Test Case Design, Black-box Testing, White-box Testing, MITS243: Artificial Intelligence - AI Principles, Search Algorithms, Knowledge Representation, Machine Learning Basics, MITS244: Digital Image Processing - Image Enhancement, Image Restoration, Image Compression, Morphological Processing |
| MITS25L | Big Data Analytics Lab | Core Lab | 2 | Hadoop Installation and Configuration, MapReduce Program Development, Hive and Pig Scripting, Spark Programming Basics, Data Ingestion and Processing |
| MITS26L | Web Technologies Lab | Core Lab | 2 | HTML/CSS Layouts, JavaScript DOM Manipulation, Server-side Scripting with Database, AJAX and JSON, Developing Web Applications |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MITS310 | Machine Learning | Core Theory | 4 | Introduction to Machine Learning, Supervised Learning Algorithms, Unsupervised Learning Algorithms, Model Evaluation and Validation, Ensemble Methods and Neural Networks |
| MITS320 | Cloud Computing | Core Theory | 4 | Cloud Computing Paradigms, Service Models (IaaS, PaaS, SaaS), Deployment Models, Virtualization Technologies, Cloud Security and Management |
| MITS33X | Elective 2 (Choose one from the list) | Elective Theory | 4 | MITS331: Data Mining - Data Preprocessing, Association Rule Mining, Classification, Clustering, MITS332: Internet of Things - IoT Architecture, IoT Protocols, Sensing Devices, IoT Data Analytics, MITS333: BlockChain Technologies - Blockchain Fundamentals, Cryptocurrencies, Smart Contracts, Distributed Ledger, MITS334: Mobile Application Development - Mobile OS Platforms, UI/UX Design, Android Studio, Mobile Testing |
| MITS34X | Elective 3 (Choose one from the list) | Elective Theory | 4 | MITS341: Data Science with Python - Python for Data Science, Data Manipulation, Data Visualization, Statistical Analysis, MITS342: Deep Learning - Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Deep Learning Frameworks, MITS343: Natural Language Processing - NLP Fundamentals, Text Preprocessing, N-grams, Machine Translation, Sentiment Analysis, MITS344: Cyber Forensics - Digital Evidence, Computer Crime, Forensic Tools, Network Forensics, Legal Aspects |
| MITS35L | Machine Learning Lab | Core Lab | 2 | Implementing Supervised Learning Algorithms, Implementing Unsupervised Learning Algorithms, Data Preprocessing and Feature Engineering, Model Training and Evaluation, Using ML Libraries (Scikit-learn, TensorFlow) |
| MITS36P | Project Phase - I | Core Project | 4 | Problem Identification and Literature Survey, Requirement Analysis and Specification, System Design and Architecture, Project Planning and Scheduling, Initial Implementation Strategy |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MITS41P | Project Phase - II | Core Project | 12 | Detailed Implementation and Coding, Testing and Debugging, Results Analysis and Interpretation, Thesis Writing and Documentation, Project Presentation and Viva-Voce |
| MITS42I | Internship | Core Internship | 6 | On-the-job Training in Industry, Application of Academic Knowledge to Real-world Problems, Professional Skill Development, Networking with Industry Professionals, Internship Report and Presentation |
