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M-TECH in Computer Science And Engineering at Acharya Institute of Technology
Bengaluru, Karnataka
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About the Specialization
What is Computer Science and Engineering at Acharya Institute of Technology Bengaluru?
This Computer Science and Engineering M.Tech program at Acharya Institute of Technology focuses on advanced concepts and research in computing. It equips students with deep theoretical knowledge and practical skills crucial for the evolving Indian IT sector. The curriculum emphasizes cutting-edge technologies like AI, ML, Cloud Computing, and Data Science, catering to the significant demand for specialized computer science professionals across various industries in India.
Who Should Apply?
This program is ideal for engineering graduates with a background in Computer Science, Information Science, or related fields, seeking to deepen their technical expertise. It attracts fresh graduates aiming for specialized roles in R&D or advanced software development, as well as working professionals aspiring to leadership positions or looking to transition into highly specialized tech domains within the booming Indian digital economy.
Why Choose This Course?
Graduates of this program can expect to secure roles as Senior Software Engineers, Data Scientists, AI/ML Engineers, Cloud Architects, or Research Associates in top Indian and multinational companies. Entry-level salaries typically range from INR 6-12 LPA, with experienced professionals earning significantly higher. The program also prepares candidates for advanced research or entrepreneurial ventures, aligning with India''''s growing startup ecosystem and technological innovation push.
Student Success Practices
Foundation Stage
Master Advanced Algorithms & Data Structures- (Semester 1-2)
Dedicate significant time to understanding and implementing complex algorithms and data structures beyond undergraduate level. Focus on performance optimization and problem-solving techniques. Participate in competitive programming platforms to hone algorithmic thinking.
Tools & Resources
LeetCode, HackerRank, GeeksforGeeks, Textbooks by Cormen, Leiserson, Rivest, Stein
Career Connection
Strong algorithmic skills are fundamental for roles in software development, data science, and core engineering, crucial for clearing technical interviews at product-based companies.
Build a Strong Research Foundation- (Semester 1-2)
Actively engage in literature reviews, identify research gaps, and develop strong technical writing and presentation skills. Utilize the Research Methodology and IPR course to formulate a compelling research proposal early on.
Tools & Resources
IEEE Xplore, ACM Digital Library, Google Scholar, Zotero/Mendeley for citation management
Career Connection
This builds critical thinking and research aptitude, essential for higher studies, R&D roles, and contributes to a robust M.Tech dissertation, which is valued in industry for problem-solving skills.
Explore Electives with Practical Projects- (Semester 1-2)
Choose electives strategically based on career interests and supplement theoretical learning with hands-on projects. For example, if taking Cloud Computing, build a small application on AWS/Azure.
Tools & Resources
AWS Free Tier, Microsoft Azure for Students, Open-source project communities, GitHub
Career Connection
Practical application of elective knowledge demonstrates proficiency to potential employers, making you job-ready in specialized areas like cloud engineering or machine learning.
Intermediate Stage
Undertake an Industry-Relevant Internship- (Semester 3)
Secure an internship in a relevant industry to gain real-world experience. Focus on applying academic knowledge to practical problems and contribute meaningfully to company projects. Actively seek mentors.
Tools & Resources
LinkedIn, Internshala, College placement cell, Networking events
Career Connection
Internships are often a direct pathway to pre-placement offers (PPOs) in Indian companies, providing invaluable industry exposure and enhancing your resume for final placements.
Specialize through Project Work - Phase II- (Semester 3)
Leverage Project Work - Phase II to delve deep into a specific area of interest. Focus on developing a robust solution, documenting methodologies, and presenting results clearly. Aim for potential conference paper submissions.
Tools & Resources
Jupyter Notebooks, VS Code, Version Control (Git), Overleaf for LaTeX documentation
Career Connection
A well-executed project demonstrates specialized skills and the ability to complete a significant technical task, highly valued by companies hiring for R&D, data science, or specialized engineering roles.
Network and Participate in Tech Events- (Semester 3)
Actively participate in workshops, webinars, and hackathons organized by industry bodies or college clubs. Network with faculty, alumni, and industry professionals to explore opportunities and gain insights.
Tools & Resources
Meetup.com, Eventbrite, College Alumni Network, Professional forums
Career Connection
Networking opens doors to job opportunities, collaborations, and mentorship, crucial for career advancement in the Indian tech ecosystem, especially in emerging fields.
Advanced Stage
Develop a High-Impact Dissertation- (Semester 4)
Focus intensely on Project Work – Phase III & Dissertation. Ensure the project delivers tangible results, contributes original insights, and is meticulously documented as a publishable thesis. Seek faculty guidance rigorously.
Tools & Resources
Research labs, High-performance computing resources (if applicable), Statistical software (R, Python libraries), Plagiarism checker tools
Career Connection
A strong dissertation is a testament to your research capabilities, problem-solving skills, and deep subject matter expertise, enhancing your profile for both academia and industry R&D positions.
Prepare Rigorously for Placements- (Semester 4)
Engage in extensive practice for technical interviews, aptitude tests, and group discussions. Refine your resume and portfolio, highlighting M.Tech projects and specialized skills. Utilize campus placement training resources.
Tools & Resources
Mock interview platforms, Aptitude test preparation books/apps, Company-specific interview guides, Career counseling services
Career Connection
Comprehensive preparation is key to securing top placements in leading tech companies and startups in India, maximizing your career launchpad post-M.Tech.
Explore Entrepreneurship or Further Research- (Semester 4)
For those inclined, explore the possibility of converting project work into a startup idea, utilizing incubation centers. Alternatively, prepare for PhD applications by connecting with research mentors and refining your research statement.
Tools & Resources
College Incubation Centre, Startup India initiatives, GRE/TOEFL preparation resources, Research institution websites
Career Connection
This path caters to aspirations beyond conventional employment, fostering innovation and contributing to India''''s knowledge economy or academic prowess, offering alternative high-impact career trajectories.
Program Structure and Curriculum
Eligibility:
- Candidates must have passed B.E. / B.Tech. in Computer Science & Engineering / Information Science & Engineering / Electronics & Communication Engineering / Electrical & Electronics Engineering / Telecommunication Engineering or equivalent degree with minimum 50% (45% for SC/ST/Category-I candidates) aggregate marks from any recognized University / Institution and must have qualified in GATE or PGCET examination.
Duration: 2 years / 4 semesters
Credits: 79 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23MCS11 | Advanced Data Structures and Algorithms | Core | 4 | Review of Data Structures, Trees and Heaps, Graph Algorithms, Dynamic Programming, Amortized Analysis, Randomized Algorithms |
| 23MCS12 | Advanced Computer Architecture | Core | 4 | Pipelining, Instruction Level Parallelism, Multiprocessors, Cache Memory Organizations, Vector Processors, Interconnection Networks |
| 23MCS13 | Research Methodology and IPR | Core | 3 | Research Problem and Design, Data Collection Methods, Statistical Analysis Techniques, Report Writing, Intellectual Property Rights, Patents and Copyrights |
| 23MCSEL15X | Program Elective-I (Options: Big Data Analytics, Machine Learning, Internet of Things) | Elective | 3 | Hadoop Ecosystem (HDFS, MapReduce), Spark Framework, NoSQL Databases (Cassandra, MongoDB), Data Ingestion and Processing, Streaming Analytics, Big Data Security |
| 23MCSEL16X | Program Elective-II (Options: Cloud Computing, Deep Learning, Cyber Security) | Elective | 3 | Cloud Service Models (IaaS, PaaS, SaaS), Cloud Deployment Models, Virtualization Technologies, Cloud Security and Privacy, Containerization (Docker, Kubernetes), Cloud Computing Platforms (AWS, Azure) |
| 23MCSI17 | Advanced Data Structures and Algorithms Lab | Lab | 2 | Implementation of advanced trees (AVL, Red-Black), Graph traversal and shortest path algorithms, Dynamic programming problem solutions, Network flow algorithms, String matching algorithms, Parallel algorithm implementations |
| 23MCSI18 | Advanced Computer Architecture Lab | Lab | 2 | CPU scheduling algorithm simulation, Cache memory performance analysis, Pipelining hazards and solutions simulation, Multiprocessor communication simulation, Memory hierarchy design and analysis, Vector processing simulations |
| 23MCSAC19 | Technical Seminar | Seminar | 1 | Literature Survey, Technical Writing Skills, Presentation Techniques, Research Problem Identification, Data Analysis and Interpretation, Review of Current Technologies |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23MCS21 | Advanced Operating Systems | Core | 4 | Distributed Operating Systems, Real-time Operating Systems, Mobile Operating Systems, Virtualization, Operating System Security, Fault Tolerance in OS |
| 23MCS22 | Advanced Database Management Systems | Core | 4 | Distributed Databases, Object-Oriented Databases, NoSQL Databases, Query Optimization and Execution, Transaction Management and Concurrency Control, Data Warehousing and Mining |
| 23MCS23 | Soft Skills and Research Ethics | Core | 2 | Communication Skills, Leadership and Teamwork, Critical Thinking and Problem Solving, Professional Ethics and Values, Avoiding Plagiarism, Conflict Resolution and Negotiation |
| 23MCSEL25X | Program Elective-III (Options: Image Processing, Blockchain Technology, Natural Language Processing) | Elective | 3 | Cryptography Basics, Distributed Ledger Technology, Consensus Mechanisms, Smart Contracts, Bitcoin and Ethereum, Blockchain Applications |
| 23MCSEL26X | Program Elective-IV (Options: Wireless Sensor Networks, DevOps, Quantum Computing) | Elective | 3 | Quantum Mechanics Fundamentals, Qubits and Quantum Gates, Quantum Superposition and Entanglement, Quantum Algorithms (Shor, Grover), Quantum Error Correction, Quantum Computing Hardware |
| 23MCSI27 | Advanced Operating Systems Lab | Lab | 2 | Implementation of process synchronization, Inter-process communication mechanisms, Distributed file system experiments, OS virtualization techniques, Multithreading and concurrency control, Deadlock detection and avoidance |
| 23MCSI28 | Advanced Database Management Systems Lab | Lab | 2 | SQL query optimization techniques, NoSQL database implementation (MongoDB, Cassandra), Distributed query processing, Data warehousing tools and ETL processes, Transaction management simulations, Database security features |
| 23MCSCP29 | Project Work – Phase I | Project | 2 | Problem Definition and Formulation, Literature Survey and Gap Analysis, Requirement Analysis, High-level System Design, Project Proposal Writing, Feasibility Study |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23MCSIN31 | Internship / Industrial Training | Core | 4 | Industry Exposure, Real-time Project Application, Professional Skill Development, Technical Report Writing, Presentation of Work Done, Networking with Industry Experts |
| 23MCSEL35X | Program Elective-V (Options: Ethical Hacking, Augmented Reality/Virtual Reality, Robotics Process Automation) | Elective | 3 | Reconnaissance and Footprinting, Scanning and Enumeration, System Hacking Techniques, Web Application Security, Network Security Controls, Penetration Testing Methodologies |
| 23MCSAU32 | Audit Course | Audit | 0 | Sustainability and Green Computing, Entrepreneurship Development, Cross-cultural Communication, Advanced Digital Marketing, Human Resource Management, Intellectual Property Rights |
| 23MCSCP33 | Project Work – Phase II | Project | 8 | Detailed System Design, Module Development and Implementation, Unit and Integration Testing, Performance Analysis and Optimization, Interim Project Report, Presentation of Progress and Results |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23MCSCP41 | Project Work – Phase III & Dissertation | Project | 20 | Final System Implementation, Comprehensive Testing and Validation, Results Analysis and Interpretation, Dissertation Writing, Viva-Voce Examination, Potential for Publication |
