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M-TECH in Information Technology at GITAM, Gandhi Institute of Technology and Management
Visakhapatnam, Andhra Pradesh
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About the Specialization
What is Information Technology at GITAM, Gandhi Institute of Technology and Management Visakhapatnam?
This Information Technology program at Gandhi Institute of Technology and Management, Visakhapatnam focuses on equipping graduates with advanced knowledge in cutting-edge IT domains. India''''s rapidly expanding digital economy creates immense demand for skilled professionals in areas like AI, Cloud, Big Data, and Cybersecurity. This program emphasizes a blend of theoretical foundations and practical applications, preparing students for leadership roles in a tech-driven landscape.
Who Should Apply?
This program is ideal for engineering graduates (B.E./B.Tech) in IT/CSE or related disciplines, as well as M.Sc. (Maths) and MCA degree holders, who aspire to specialize in advanced computing. It suits fresh graduates seeking entry into high-growth tech careers and working professionals looking to upskill in emerging technologies like Machine Learning, Cloud Computing, and Data Analytics, pivotal for India''''s digital transformation.
Why Choose This Course?
Graduates of this program can expect diverse career paths in Indian IT firms, MNC R&D centers, and government organizations. Roles include Data Scientist, Cloud Architect, Cybersecurity Analyst, and Machine Learning Engineer, with entry-level salaries typically ranging from INR 6-10 LPA, scaling significantly with experience. The curriculum is designed to align with industry certifications and fosters innovation crucial for the Indian tech ecosystem.
Student Success Practices
Foundation Stage
Master Core Concepts with Hands-on Practice- (Semester 1-2)
Thoroughly understand fundamental subjects like Advanced Data Structures, Networks, and Machine Learning. Actively implement algorithms and concepts through coding platforms.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, Python/Java IDEs
Career Connection
Strong fundamentals are critical for technical interviews and building robust systems in entry-level roles as a software developer or data analyst.
Participate in Departmental Workshops & Tech Talks- (Semester 1-2)
Attend seminars and workshops organized by the department or student clubs on emerging technologies (e.g., AI/ML bootcamps, cloud fundamentals).
Tools & Resources
GITAM''''s departmental event announcements, LinkedIn Learning, NPTEL courses
Career Connection
Exposure to industry trends and guest speakers provides valuable insights for career direction and networking, relevant for the Indian IT sector.
Build a Strong Peer Learning Network- (Semester 1-2)
Form study groups with classmates to discuss complex topics, prepare for exams, and collaboratively solve programming challenges.
Tools & Resources
WhatsApp groups, Google Meet, Collaborative coding platforms
Career Connection
Develops teamwork skills essential for corporate environments and provides a support system for academic and professional growth.
Intermediate Stage
Engage in Mini-Projects and Open-Source Contributions- (Semester 2-3)
Apply theoretical knowledge by undertaking small projects related to Big Data, Cloud, or ML. Contribute to open-source projects on platforms like GitHub.
Tools & Resources
GitHub, Kaggle, Google Colab, Relevant programming frameworks
Career Connection
Builds a strong portfolio, demonstrates practical skills to potential employers, and is highly valued by Indian tech recruiters.
Pursue Relevant Industry Certifications- (Semester 2-3)
Aim for foundational certifications in areas like AWS Cloud Practitioner, Azure Fundamentals, or Google Cloud Associate Engineer, complementing the curriculum.
Tools & Resources
Official certification guides, Udemy, Coursera, Free tiers of cloud platforms
Career Connection
Enhances employability, validates skills, and signals commitment to a specific tech domain, providing a competitive edge in India.
Network with Industry Professionals via LinkedIn & Events- (Semester 2-3)
Actively connect with professionals, alumni, and recruiters on LinkedIn. Attend virtual or in-person industry conferences and job fairs.
Tools & Resources
LinkedIn, Professional meetups (e.g., local developer communities), GITAM alumni network
Career Connection
Opens doors to internship and placement opportunities, mentorship, and insights into industry demands.
Advanced Stage
Undertake a Comprehensive Capstone Project/Thesis- (Semester 3-4)
Dedicate significant effort to Project Work-I and II, choosing a challenging problem aligned with your specialization and potential career goals.
Tools & Resources
Research papers (IEEE, ACM), Academic supervisors, Industry mentors, Advanced programming tools
Career Connection
Showcases advanced problem-solving, research capabilities, and in-depth expertise, crucial for high-impact roles and higher studies.
Intensive Placement Preparation- (Semester 3-4)
Focus on mock interviews, resume building, and aptitude test practice. Tailor your resume and cover letter to specific job roles.
Tools & Resources
GITAM''''s Placement Cell, InterviewBit, GeeksforGeeks, Glassdoor, Professional resume services
Career Connection
Maximizes chances of securing desired placements in top-tier Indian and multinational companies.
Explore Entrepreneurial Ventures or Research Opportunities- (Semester 4)
Consider developing your capstone project into a startup idea or publishing research findings. Engage with GITAM''''s innovation cell or incubators.
Tools & Resources
GITAM Innovation & Entrepreneurship Cell, Startup accelerators, Research publications, Incubators
Career Connection
Develops leadership, problem-solving, and innovative thinking, paving the way for entrepreneurial careers or advanced research in India.
Program Structure and Curriculum
Eligibility:
- Pass in B.E./B.Tech./AMIE in any branch of Engineering/Technology or equivalent OR Master’s Degree in Science (M.Sc.) with Mathematics as one of the subjects or Master of Computer Applications (MCA). Valid score in GAT (PGT) / GATE / GPAT.
Duration: 2 years (4 semesters)
Credits: 72 Credits
Assessment: Internal: 40% (for Theory courses), 50% (for Lab courses), External: 60% (for Theory courses), 50% (for Lab courses)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| RMTT101 | Research Methodology & IPR | Core | 3 | Research Process, Problem Identification, Research Design, Data Analysis Methods, Intellectual Property Rights, Patent Filing |
| RITT102 | Advanced Data Structures | Core | 3 | Advanced Tree Structures, Hashing Techniques, Graph Algorithms, Dynamic Programming, Amortized Analysis |
| RITT103 | Advanced Computer Networks | Core | 3 | Network Architectures, TCP/IP Suite, Routing Protocols, Wireless and Mobile Networks, Network Security |
| RITT104 | Software Engineering & Object-Oriented Analysis and Design | Core | 3 | Software Process Models, Requirements Engineering, OOAD Principles, UML Diagrams, Software Testing |
| RITT121 | Advanced Data Structures Lab | Lab | 1.5 | Tree and Graph Implementations, Hashing Algorithms, Dynamic Programming Problems, Efficiency Analysis |
| RITT122 | Advanced Computer Networks Lab | Lab | 1.5 | Network Simulation Tools, Socket Programming, Protocol Analysis, Network Configuration |
| RMTC101 | Mandatory Course I: Indian Constitution | Mandatory | 0 | Preamble and Fundamental Rights, Directive Principles, Union and State Legislature, Judiciary System, Constitutional Amendments |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| RITT105 | Big Data Analytics | Core | 3 | Big Data Ecosystem, Hadoop and MapReduce, Spark Framework, Data Stream Processing, NoSQL Databases |
| RITT106 | Machine Learning | Core | 3 | Supervised Learning, Unsupervised Learning, Neural Networks Basics, Model Evaluation Metrics, Feature Engineering |
| RITT107 | Cloud Computing | Core | 3 | Cloud Service Models, Deployment Models, Virtualization, Cloud Security, AWS/Azure Fundamentals |
| RITT108 | Professional Elective I: Information Security & Digital Forensics | Elective | 3 | Security Principles, Access Control, Digital Forensics Process, Incident Response, Cybercrime Investigation |
| RITT109 | Professional Elective I: Cryptography & Network Security | Elective | 3 | Symmetric Key Cryptography, Asymmetric Key Cryptography, Hash Functions, Network Security Protocols, Firewalls and IDSs |
| RITT110 | Professional Elective I: Advanced Database Management Systems | Elective | 3 | Query Processing and Optimization, Transaction Management, Distributed Databases, NoSQL Databases, Data Warehousing Concepts |
| RITT111 | Professional Elective II: Internet of Things | Elective | 3 | IoT Architecture, Sensors and Actuators, IoT Communication Protocols, Cloud Platforms for IoT, IoT Security Challenges |
| RITT112 | Professional Elective II: Blockchain Technologies | Elective | 3 | Cryptographic Primitives, Distributed Ledger Technology, Consensus Mechanisms, Smart Contracts, Blockchain Applications |
| RITT113 | Professional Elective II: Web Technologies | Elective | 3 | HTML5 and CSS3, JavaScript Fundamentals, Client-Side Frameworks, Server-Side Scripting, RESTful APIs |
| RITT123 | Big Data Analytics Lab | Lab | 1.5 | Hadoop HDFS Operations, MapReduce Programming, Spark Data Processing, Data Ingestion Tools |
| RITT124 | Machine Learning Lab | Lab | 1.5 | Python for ML, Scikit-learn, Model Training and Evaluation, Data Preprocessing Techniques |
| RMTC102 | Mandatory Course II: Environmental Science | Mandatory | 0 | Ecosystems and Biodiversity, Pollution Types, Climate Change, Renewable Energy Sources, Environmental Policies |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| RITT201 | Professional Elective III: Deep Learning | Elective | 3 | Neural Network Architectures, Convolutional Neural Networks, Recurrent Neural Networks, Backpropagation Algorithm, Transfer Learning |
| RITT202 | Professional Elective III: Natural Language Processing | Elective | 3 | Text Preprocessing, NLP Tasks, Word Embeddings, Language Models, Machine Translation |
| RITT203 | Professional Elective III: Cyber Physical Systems | Elective | 3 | CPS Architecture, Sensors and Actuators, Real-time Operating Systems, Networked Control Systems, Security of CPS |
| RITT204 | Professional Elective IV: Software Project Management | Elective | 3 | Project Planning, Agile Methodologies, Risk Management, Resource Allocation, Software Quality Assurance |
| RITT205 | Professional Elective IV: Human Computer Interaction | Elective | 3 | HCI Principles, Usability Testing, User Interface Design, Interaction Styles, Accessibility Design |
| RITT206 | Professional Elective IV: Computer Vision | Elective | 3 | Image Processing Fundamentals, Feature Extraction, Object Detection, Image Segmentation, Deep Learning for Vision |
| RITT251 | Project Work-I | Project | 6 | Problem Identification, Literature Survey, Methodology Design, System Architecture, Preliminary Implementation |
| RITT281 | Internship | Internship | 3 | Industry Exposure, Practical Application of Skills, Report Writing, Professional Communication |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| RITT252 | Project Work-II | Project | 18 | System Development and Implementation, Testing and Validation, Performance Evaluation, Thesis Writing, Viva-Voce Examination |
