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M-TECH in Computer Science And Engineering at Global Academy of Technology
Bengaluru, Karnataka
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About the Specialization
What is Computer Science and Engineering at Global Academy of Technology Bengaluru?
This M.Tech Computer Science and Engineering program at Global Academy of Technology focuses on equipping students with advanced theoretical knowledge and practical skills in cutting-edge computing domains. It is designed to meet the growing demand for highly skilled professionals in India''''s booming IT and software development sectors. The curriculum emphasizes core areas like advanced algorithms, network security, machine learning, and cloud computing, preparing graduates for complex challenges.
Who Should Apply?
This program is ideal for engineering graduates with a Bachelor''''s degree in Computer Science, Information Science, or related fields, seeking entry into advanced research and development roles. It also suits working professionals who wish to upskill in specialized areas like AI, Big Data, or Cyber Security to accelerate their careers. Fresh graduates with a strong analytical bent and a valid GATE/PGCET score are particularly well-suited for this rigorous program.
Why Choose This Course?
Graduates of this program can expect to pursue lucrative career paths as Software Architects, Data Scientists, AI/ML Engineers, Cyber Security Analysts, or Cloud Solution Architects in India. Entry-level salaries typically range from INR 6-12 LPA, with experienced professionals earning significantly more. The program fosters critical thinking and problem-solving, aligning with industry demands for innovative solutions and facilitating growth trajectories within top Indian and multinational companies.
Student Success Practices
Foundation Stage
Master Advanced Algorithms and Data Structures- (Semester 1-2)
Dedicate significant time to understanding and implementing complex algorithms and data structures. Practice coding problems on platforms like LeetCode or HackerRank regularly to solidify problem-solving skills, crucial for technical interviews.
Tools & Resources
LeetCode, GeeksforGeeks, NPTEL courses on Algorithms
Career Connection
Strong algorithmic foundations are paramount for roles in software development, data science, and competitive programming, enabling efficient problem-solving in any tech company.
Build a Strong Research Aptitude- (Semester 1-2)
Actively participate in the Research Methodology course. Start reading research papers in your areas of interest and attend departmental seminars. Proactively discuss ideas with faculty to identify potential mini-project topics early on.
Tools & Resources
IEEE Xplore, ACM Digital Library, Google Scholar, Departmental seminar series
Career Connection
This prepares you for the M.Tech project and potential future research roles, distinguishing you as a candidate capable of independent technical work and innovation.
Network and Engage with Peers- (Semester 1-2)
Form study groups to collaborate on assignments and prepare for exams. Actively participate in technical clubs and college events. Peer learning enhances understanding and builds a supportive academic community.
Tools & Resources
College technical clubs, WhatsApp/Discord study groups
Career Connection
Networking with peers can lead to collaborative project ideas, shared learning, and a broader professional network, which is vital for referrals and future career opportunities.
Intermediate Stage
Deep Dive into Elective Specializations- (Semester 2-3)
Beyond classroom learning, take online certification courses (e.g., Coursera, NPTEL) in your chosen professional elective areas like Machine Learning, Cloud Computing, or Cyber Security. Work on mini-projects to apply theoretical knowledge.
Tools & Resources
Coursera, edX, Udemy, NPTEL, Kaggle for ML
Career Connection
Specialized skills make you highly marketable for niche roles in trending technologies, significantly boosting your placement prospects and salary potential in specific Indian industries.
Seek Industry Internships and Live Projects- (Semester 3 (and summer after Sem 2))
Actively search for internships during the summer breaks or leverage the program''''s dedicated internship semester. Focus on gaining hands-on experience relevant to your specialization, even if it’s a short-term project.
Tools & Resources
Internshala, LinkedIn Jobs, College Placement Cell
Career Connection
Internships provide invaluable industry exposure, build practical skills, and often lead to pre-placement offers (PPOs) in Indian companies, reducing job search efforts post-M.Tech.
Develop Strong Technical Communication- (Semester 2-3)
Actively participate in the ''''Professional Practice'''' course. Focus on improving technical writing for reports and presentations. Practice explaining complex technical concepts clearly and concisely, both written and verbally.
Tools & Resources
Grammarly, LaTeX for technical reports, Toastmasters (if available)
Career Connection
Effective communication is a crucial soft skill highly valued by employers for roles requiring documentation, client interaction, or leading technical teams.
Advanced Stage
Excel in Your Project Work- (Semester 3-4)
Treat your M.Tech project as a flagship endeavor. Aim for innovation and publish your work in conferences or journals. Focus on delivering a high-quality solution and document it meticulously.
Tools & Resources
Relevant research journals/conferences, GitHub for code management, LaTeX for thesis writing
Career Connection
A strong project showcases your problem-solving abilities and specialized expertise, making you a strong candidate for R&D roles and often serving as a talking point in interviews.
Intensive Placement Preparation- (Semester 3-4)
Begin mock interviews, aptitude test practice, and resume building well in advance of campus placements. Tailor your resume and cover letter for specific company roles. Leverage college placement cell resources.
Tools & Resources
Company-specific interview guides, Aptitude test platforms, Mock interview sessions
Career Connection
Thorough preparation directly translates into better performance during placement drives, securing positions in top-tier Indian and multinational companies with competitive packages.
Continuously Upskill and Adapt- (Throughout the program and beyond)
Stay updated with the latest technological advancements and industry trends by following tech blogs, attending webinars, and participating in hackathons. The tech landscape evolves rapidly, so continuous learning is key.
Tools & Resources
TechCrunch, The Verge, Medium (tech blogs), Industry webinars
Career Connection
This proactive approach ensures long-term career relevance, adaptability to new roles, and positions you as a forward-thinking professional in the dynamic Indian IT sector.
Program Structure and Curriculum
Eligibility:
- B.E./B.Tech in CSE/ISE/TE/ECE/EEE/EIE or equivalent with a minimum of 50% aggregate marks (45% for SC/ST/Cat-I candidates) and a valid score in PGCET or GATE examination.
Duration: 4 semesters / 2 years
Credits: 84 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22SCS11 | Advanced Engineering Mathematics | Core | 4 | Linear Algebra, Probability and Statistics, Numerical Methods, Laplace and Z-Transforms, Graph Theory |
| 22SCS12 | Advanced Data Structures and Algorithms | Core | 4 | Advanced Trees and Heaps, Hashing Techniques, Graph Algorithms, Greedy Algorithms and Dynamic Programming, Amortized Analysis |
| 22SCS13 | Advanced Computer Architecture | Core | 4 | Instruction Level Parallelism, Pipelining and Superscalar Processors, Multiprocessors and Thread-Level Parallelism, Memory Hierarchy and Cache Coherence, Vector Processors and GPUs |
| 22SCS141 | Professional Elective-1: Advanced Operating Systems (Option 1) | Elective | 4 | Distributed Operating Systems, Real-Time Operating Systems, Synchronization and Deadlocks, Memory Management Techniques, File Systems and Security |
| 22SCS142 | Professional Elective-1: Advanced Databases (Option 2) | Elective | 4 | Database System Architectures, Query Processing and Optimization, Transaction Management and Concurrency Control, Distributed Databases, NoSQL Databases |
| 22SCS143 | Professional Elective-1: Cloud Computing (Option 3) | Elective | 4 | Cloud Architecture and Services (IaaS, PaaS, SaaS), Virtualization Technologies, Cloud Security and Data Privacy, Cloud Deployment Models, Cloud Resource Management |
| 22SCS144 | Professional Elective-1: Machine Learning (Option 4) | Elective | 4 | Supervised Learning Algorithms, Unsupervised Learning Algorithms, Reinforcement Learning, Neural Networks and Deep Learning Fundamentals, Model Evaluation and Hyperparameter Tuning |
| 22SCS15 | Research Methodology and IPR | Core | 2 | Research Problem Formulation, Literature Review and Data Collection, Statistical Analysis for Research, Intellectual Property Rights, Plagiarism and Research Ethics |
| 22SCS16 | Advanced Data Structures and Algorithms Lab | Lab | 2 | Implementation of Advanced Data Structures, Graph Traversal and Shortest Path Algorithms, Dynamic Programming Solutions, Hashing Applications, Performance Analysis of Algorithms |
| 22SCS17 | Professional Elective-1 Lab | Lab | 2 | Practical implementation related to chosen elective, System programming or database exercises, Cloud service deployment and management, Machine learning model implementation, Operating system simulation |
| 22SCS18 | Technical Seminar | Project | 2 | Literature Survey on advanced topics, Technical Report Writing, Presentation Skills, Understanding research gaps, Critical analysis of technical papers |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22SCS21 | Software Engineering | Core | 4 | Software Development Life Cycle Models, Agile Methodologies, Software Requirements Engineering, Software Design and Architecture, Software Testing and Quality Assurance |
| 22SCS22 | Advanced Computer Networks | Core | 4 | TCP/IP Protocols and Architectures, Routing Algorithms and Protocols, Wireless and Mobile Networks, Network Security Fundamentals, Quality of Service (QoS) in Networks |
| 22SCS231 | Professional Elective-2: Advanced Algorithms (Option 1) | Elective | 4 | Approximation Algorithms, Randomized Algorithms, Network Flow Algorithms, Computational Geometry, String Matching Algorithms |
| 22SCS232 | Professional Elective-2: Distributed Computing (Option 2) | Elective | 4 | Distributed System Architectures, Message Passing and Remote Invocation, Distributed Transactions and Concurrency Control, Consensus and Replication, Fault Tolerance in Distributed Systems |
| 22SCS233 | Professional Elective-2: Big Data Analytics (Option 3) | Elective | 4 | Big Data Technologies (Hadoop, Spark), Distributed File Systems (HDFS), MapReduce Programming Model, Data Stream Mining, NoSQL Databases for Big Data |
| 22SCS234 | Professional Elective-2: Internet of Things (IoT) (Option 4) | Elective | 4 | IoT Architecture and Protocols, Sensor Networks and Devices, IoT Security and Privacy, Cloud and Fog Computing for IoT, IoT Applications and Case Studies |
| 22SCS241 | Professional Elective-3: Compiler Design (Option 1) | Elective | 4 | Lexical Analysis and Parsers, Syntax Directed Translation, Intermediate Code Generation, Runtime Environments, Code Optimization and Generation |
| 22SCS242 | Professional Elective-3: Storage Area Networks (Option 2) | Elective | 4 | Introduction to Information Storage, Storage Systems Architecture, Networked Storage (NAS, SAN), Backup, Recovery, and Archiving, Business Continuity and Disaster Recovery |
| 22SCS243 | Professional Elective-3: Cyber Security (Option 3) | Elective | 4 | Cryptography and Network Security, Intrusion Detection and Prevention Systems, Vulnerability Assessment and Penetration Testing, Security Policies and Standards, Digital Forensics Fundamentals |
| 22SCS244 | Professional Elective-3: Digital Forensics (Option 4) | Elective | 4 | Introduction to Digital Forensics, Data Acquisition and Preservation, File System Forensics, Network Forensics, Forensic Tools and Techniques |
| 22SCS25 | Mini Project | Project | 2 | Problem Definition and Scope, Literature Survey and Solution Design, Implementation and Testing, Project Report Writing, Presentation and Demonstration |
| 22SCS26 | Advanced Computer Networks Lab | Lab | 2 | Network Simulation Tools (e.g., NS2, Wireshark), Socket Programming, Routing Protocol Implementation, Network Security Configuration, Performance Analysis of Network Protocols |
| 22SCS27 | Professional Elective-2 Lab | Lab | 2 | Practical implementation related to chosen elective, Distributed system setup and programming, Big Data tool usage (Hadoop, Spark), IoT device programming and sensor integration, Advanced algorithm implementation |
| 22SCS28 | Professional Practice | Core | 2 | Research Ethics and Professional Conduct, Technical Report and Paper Writing, Effective Presentation Skills, Project Planning and Management, Intellectual Property and Patents |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22SCS31 | Internship | Internship | 12 | Industry problem solving, Application of theoretical knowledge, Professional communication and teamwork, Technical report preparation, Presentation of internship work |
| 22SCS32 | Project Work Phase - 1 | Project | 4 | Problem identification and definition, Extensive literature survey, Formulation of project objectives, Methodology and preliminary design, Feasibility study |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22SCS41 | Project Work Phase - 2 | Project | 20 | Detailed design and implementation, Extensive testing and validation, Analysis of results and findings, Comprehensive project report writing, Demonstration and viva-voce |
