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MSC-IT in General at College of Commerce, Arts & Science, Patna
Patna, Bihar
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About the Specialization
What is General at College of Commerce, Arts & Science, Patna Patna?
This Master of Science in Information Technology (MSc IT) program at College of Commerce, Arts & Science, Patna, focuses on developing advanced skills in software development, data management, networking, and emerging technologies. It addresses the growing demand for skilled IT professionals in India''''s rapidly expanding digital economy, preparing students for diverse roles across various sectors.
Who Should Apply?
This program is ideal for graduates holding a BCA, B.Sc. IT, B.Sc. Computer Science, or any B.A./B.Sc. with Mathematics, seeking to deepen their technical expertise. It caters to fresh graduates aspiring for entry-level IT positions and working professionals aiming to upgrade their skills for career advancement in the dynamic Indian IT landscape.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding careers as software developers, system analysts, database administrators, network engineers, or IT consultants in India. Entry-level salaries typically range from INR 3-6 lakhs per annum, with significant growth potential up to INR 10-15 lakhs or more for experienced professionals in leading Indian tech companies and startups.
Student Success Practices
Foundation Stage
Master Core Programming & Data Fundamentals- (Semester 1-2)
Focus intensely on Java, Data Structures, Operating Systems, and DBMS. Practice coding daily on platforms like HackerRank and GeeksforGeeks to build strong problem-solving abilities, which are crucial for placements in Indian tech firms.
Tools & Resources
HackerRank, GeeksforGeeks, Online Java/DS tutorials
Career Connection
Develops a strong foundation for technical interviews and problem-solving roles in IT companies.
Build Foundational IT Projects- (Semester 1-2)
Work on small, guided projects related to database management or basic Java applications. This hands-on experience solidifies theoretical knowledge and begins the process of creating a portfolio, highly valued by Indian recruiters.
Tools & Resources
Eclipse/IntelliJ IDEA, MySQL/PostgreSQL, GitHub
Career Connection
Creates practical experience and a tangible portfolio for showcasing skills to potential employers.
Engage in Academic Discussions & Peer Learning- (Semester 1-2)
Form study groups to discuss complex topics and prepare for internal assessments. Active participation in class and peer-to-peer learning enhances understanding and collaborative skills, essential for team environments in the Indian IT industry.
Tools & Resources
Study groups, Class discussions, Online forums
Career Connection
Improves communication, teamwork, and critical thinking, vital for collaborative project work in IT.
Intermediate Stage
Specialize through Electives and Practical Application- (Semester 3)
Choose an elective (Web Technology, Mobile Computing, Data Mining) based on interest and build a substantial project around it. Utilize online tutorials and MOOCs (e.g., NPTEL, Coursera) to gain in-depth knowledge and practical expertise relevant to the Indian tech market.
Tools & Resources
NPTEL, Coursera, Udemy, Specific IDEs for chosen specialization
Career Connection
Develops specialized skills desired by specific industry sectors, enhancing employability in niche roles.
Seek Early Industry Exposure- (Semester 3)
Look for short-term internships, virtual internships, or industry-mentored projects. Attend webinars and guest lectures from IT professionals to understand current trends and real-world challenges in the Indian IT sector.
Tools & Resources
LinkedIn, Internshala, College career fair
Career Connection
Provides valuable real-world experience, helps build a professional network, and clarifies career goals.
Enhance Soft Skills & Communication- (Semester 3)
Actively participate in presentations and group assignments to refine communication, teamwork, and problem-solving skills. These are critical for navigating professional environments and excelling in interviews for Indian companies.
Tools & Resources
Presentation tools, Group project platforms, Public speaking practice
Career Connection
Crucial for interview success, effective collaboration, and career progression in any IT role.
Advanced Stage
Excel in Capstone Project & Portfolio Development- (Semester 4)
Dedicate significant effort to the final semester project (MIT-404), ensuring it''''s innovative and demonstrates advanced technical skills. Document the project thoroughly, making it a centerpiece of your professional portfolio for job applications.
Tools & Resources
Project management tools, GitHub, Personal website/blog
Career Connection
Showcases comprehensive technical ability and problem-solving, significantly boosting placement prospects.
Intensive Placement & Career Preparation- (Semester 4)
Leverage the college''''s placement cell for mock interviews, resume building workshops, and aptitude test practice. Actively apply to IT companies, startups, and government IT roles, aligning with the diverse career opportunities available in India.
Tools & Resources
Placement cell resources, Mock interview platforms, Aptitude test websites
Career Connection
Directly prepares students for the job market, increasing the likelihood of securing desirable placements.
Networking & Professional Growth- (Semester 4)
Connect with alumni and industry professionals through LinkedIn and college networking events. Explore options for industry certifications (e.g., Cloud, AI/ML) or prepare for competitive exams, which can open doors to specialized or public sector IT roles in India.
Tools & Resources
LinkedIn, Professional conferences/webinars, Certification platforms (AWS, Azure)
Career Connection
Expands career opportunities, provides mentorship, and allows for continuous professional development in a rapidly evolving industry.
Program Structure and Curriculum
Eligibility:
- Graduation pass with minimum 45% marks in respective subjects. (For M.Sc. IT: BCA, B.Sc. IT, B.Sc. Comp. Sc., B.A. / B.Sc. with Maths as one of the subjects).
Duration: 4 semesters / 2 years
Credits: 70 Credits
Assessment: Internal: 20%, External: 80%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MIT-101 | PROGRAMMING IN JAVA | Core | 4 | Introduction to Java, Object-Oriented Concepts, Java API, Exception Handling, Multithreading, Applets and AWT |
| MIT-102 | DATA STRUCTURE & ALGORITHMS | Core | 4 | Introduction to Data Structures, Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Sorting and Searching Algorithms |
| MIT-103 | OPERATING SYSTEM | Core | 4 | Operating System Concepts, Process Management, CPU Scheduling, Deadlocks, Memory Management, File Systems |
| MIT-104 | DATA BASE MANAGEMENT SYSTEM | Core | 4 | DBMS Concepts, ER Model, Relational Model, SQL Queries, Normalization, Transaction Management, Concurrency Control |
| MIT-105 | Practical based on MIT-101 & MIT-102 | Lab | 2 | Java Programming Lab Exercises, Data Structures Implementation Lab |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MIT-201 | ADVANCED JAVA PROGRAMMING | Core | 4 | Swing, JDBC, Servlets and JSP, JavaBeans, RMI, EJB Introduction, Networking with Java |
| MIT-202 | COMPUTER NETWORKS | Core | 4 | Network Topologies, OSI and TCP/IP Models, Data Link Layer, Network Layer, Transport and Application Layers, Basic Network Security |
| MIT-203 | SOFTWARE ENGINEERING | Core | 4 | Software Development Life Cycle, Software Requirements Analysis, Design Concepts, Software Testing, Project Management, Quality Assurance |
| MIT-204 | ARTIFICIAL INTELLIGENCE | Core | 4 | Introduction to AI, Problem Solving Techniques, Knowledge Representation, Search Algorithms, Machine Learning Basics, Expert Systems |
| MIT-205 | Practical based on MIT-201 & MIT-202 | Lab | 2 | Advanced Java Programming Lab, Computer Networks Configuration Lab |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MIT-301 | WEB TECHNOLOGY | Core | 4 | HTML, CSS, JavaScript, XML, PHP and ASP.NET basics, Web Services, AJAX, Web Security Fundamentals |
| MIT-302 | DATA WAREHOUSING & MINING | Core | 4 | Data Warehousing Concepts, OLAP, Data Mining Techniques, Classification and Clustering, Association Rules, Big Data Introduction |
| MIT-303 | MOBILE COMPUTING | Core | 4 | Mobile Architecture, Mobile Operating Systems (Android/iOS), Mobile Application Development, Wireless Technologies, Mobile Security, Location-Based Services |
| MIT-304(A) | IMAGE PROCESSING | Elective I | 4 | Digital Image Fundamentals, Image Enhancement, Image Restoration, Image Compression, Segmentation, Feature Extraction |
| MIT-304(B) | CRYPTOGRAPHY AND NETWORK SECURITY | Elective I | 4 | Security Attacks and Services, Cryptographic Algorithms, Symmetric Key Ciphers, Asymmetric Key Ciphers, Digital Signatures, Firewalls and VPNs |
| MIT-304(C) | COMPILER DESIGN | Elective I | 4 | Compilers and Interpreters, Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization |
| MIT-305 | Practical based on MIT-301 & MIT-302 | Lab | 2 | Web Technology Development Lab, Data Warehousing and Mining Tools Lab |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MIT-401 | CLOUD COMPUTING | Core | 4 | Cloud Computing Architecture, Service Models (IaaS, PaaS, SaaS), Deployment Models, Virtualization, Cloud Security, Big Data on Cloud |
| MIT-402 | IOT AND ITS APPLICATIONS | Core | 4 | IoT Architecture, Sensors and Actuators, Communication Protocols, IoT Platforms, Data Analytics in IoT, IoT Security, Smart City Applications |
| MIT-403(A) | BIG DATA ANALYTICS | Elective II | 4 | Big Data Characteristics, Hadoop Ecosystem, MapReduce, HDFS, Spark, NoSQL Databases, Data Visualization, Predictive Analytics |
| MIT-403(B) | MACHINE LEARNING | Elective II | 4 | Introduction to ML, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Regression and Classification, Deep Learning Basics |
| MIT-403(C) | DIGITAL MARKETING | Elective II | 4 | Digital Marketing Strategy, SEO and SEM, Social Media Marketing, Content Marketing, Email Marketing, Analytics, E-commerce Strategies |
| MIT-404 | PROJECT WORK | Project | 2 | Project Planning, System Design and Architecture, Implementation and Coding, Testing and Debugging, Documentation and Reporting, Presentation and Viva-Voce |
| MIT-405 | Comprehensive Viva-Voce | Viva-Voce | 2 | Overall M.Sc. IT curriculum, Core IT concepts, Elective subject knowledge, Project work insights |
