.png&w=1920&q=75)
M-TECH in Computer Science Engineering at Dayalbagh Educational Institute
Agra, Uttar Pradesh
.png&w=1920&q=75)
About the Specialization
What is Computer Science & Engineering at Dayalbagh Educational Institute Agra?
This M.Tech. Computer Science & Engineering program at Dayalbagh Educational Institute focuses on advanced theoretical and practical aspects of computing. It addresses the growing demand for specialized computer science professionals in the Indian industry, equipping students with deep knowledge in areas like artificial intelligence, data science, and cloud computing. The program emphasizes research and innovation, preparing graduates for leading roles in technology development and academia.
Who Should Apply?
This program is ideal for engineering graduates with a B.E. or B.Tech. in Computer Science, IT, or related fields, as well as MCA or M.Sc. (Computer Science/IT) holders, who possess a strong foundation in computer science and a desire to delve deeper into advanced topics. It attracts individuals passionate about cutting-edge technologies, seeking to enhance their problem-solving skills, and aspiring to contribute to India''''s burgeoning tech ecosystem.
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 Scientists in top Indian IT firms, startups, and R&D divisions. Entry-level salaries typically range from INR 6-12 LPA, with experienced professionals earning significantly more. The strong research component also prepares students for PhD studies and academic careers, fostering innovation within India.
Student Success Practices
Foundation Stage
Master Core Algorithms & Data Structures- (Semester 1)
Dedicate significant time to understanding and implementing advanced data structures and algorithms using platforms like HackerRank and LeetCode. Focus on complexity analysis and practical application.
Tools & Resources
LeetCode, HackerRank, GeeksforGeeks, NPTEL courses on Algorithms
Career Connection
Essential for cracking technical interviews at top product companies and building efficient software systems, laying the groundwork for roles like Software Developer or AI/ML Engineer.
Engage in Departmental Seminars & Workshops- (Semester 1)
Actively participate in all seminars, workshops, and guest lectures organized by the Computer Science department. Prepare well for the required ''''Seminar'''' course.
Tools & Resources
Departmental notice boards, Faculty announcements, Professional networking platforms
Career Connection
Enhances presentation skills, exposes students to current research trends, and fosters critical thinking, beneficial for research-oriented roles and higher studies.
Build a Strong Programming Portfolio (Lab Work)- (Semester 1)
Apply theoretical knowledge from courses like Advanced Networks and Advanced DBMS by developing functional projects during Lab I and Lab II. Focus on robust implementation and problem-solving.
Tools & Resources
GitHub, VS Code, Python, Java, Relevant frameworks
Career Connection
Demonstrates practical skills to potential employers, making resumes more impactful for internship and entry-level job applications in the Indian tech industry.
Intermediate Stage
Specialized Skill Development through Electives & Projects- (Semester 2)
Strategically choose electives (Elective-I) that align with career aspirations, such as Cloud Computing or Machine Learning. Deep dive into practical applications through the Mini Project.
Tools & Resources
Coursera, edX, Udemy for specialized courses, Cloud platforms like AWS/Azure for hands-on experience
Career Connection
Develops expertise in high-demand areas, making students highly marketable for specialized roles like Cloud Engineer, Data Scientist, or AI Specialist in Indian IT firms.
Research Skills Enhancement (Research Methodology & IPR)- (Semester 2)
Thoroughly engage with the ''''Research Methodology & IPR'''' course. Practice critical analysis of research papers and develop strong technical writing skills.
Tools & Resources
Academic databases (IEEE Xplore, ACM Digital Library), Mendeley/Zotero for citation management
Career Connection
Crucial for success in the Dissertation and for future roles in R&D, patent analysis, or academic research in India.
Early Industry Exposure & Networking- (Semester 2)
Begin exploring internship opportunities for the upcoming year. Attend online webinars and virtual career fairs to understand industry expectations and network with professionals.
Tools & Resources
Internship portals (Internshala, LinkedIn), Virtual industry events
Career Connection
Helps in early career planning, identifies potential employers, and builds foundational professional relationships before the final year.
Advanced Stage
Dissertation Excellence & Publication- (Semester 3-4)
Dedicate comprehensive effort to the Dissertation (Part I & II). Aim for high-quality research, strong implementation, and potentially publish findings in reputed conferences or journals, a significant academic achievement in India.
Tools & Resources
Research supervisors, Academic databases, Specialized software for analysis, LaTeX for technical writing
Career Connection
A strong dissertation is a key differentiator for R&D roles, academic positions, and demonstrates advanced problem-solving and independent research capabilities to top recruiters.
Placement Preparation & Interview Skill Refinement- (Semester 3-4)
Actively participate in placement drives. Focus on refining interview skills, including technical rounds, behavioral questions, and HR interactions, through mock interviews and company-specific preparation.
Tools & Resources
Placement cell, Alumni network, Online interview practice platforms, Company interview experiences
Career Connection
Directly leads to securing lucrative job offers in prominent Indian and multinational companies operating in India, leveraging the M.Tech specialization.
Continuous Learning & Advanced Certifications- (Semester 3-4)
Stay updated with emerging technologies beyond the curriculum. Pursue relevant industry certifications (e.g., AWS Certified Solutions Architect, Google Professional Data Engineer) to validate specialized skills.
Tools & Resources
Official certification guides, Online learning platforms, Industry blogs and forums
Career Connection
Enhances marketability for niche roles, demonstrates proactive learning, and can lead to higher starting salaries and faster career progression in India''''s dynamic tech sector.
Program Structure and Curriculum
Eligibility:
- B.Tech. / B.E. in Computer Science & Engineering / Information Technology / Computer Engineering or MCA or M.Sc. (Comp. Sci. / IT / Software) with a minimum of 55% marks or equivalent grade.
Duration: 4 semesters / 2 years
Credits: 84 Credits
Assessment: Assessment pattern not specified
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSM-101 | ADVANCED COMPUTER NETWORKS | Core | 4 | Network Protocols, Congestion Control, Quality of Service (QoS), Wireless Networks, Network Security |
| CSM-102 | ADVANCED DATA STRUCTURES AND ALGORITHMS | Core | 4 | Amortized Analysis, Advanced Tree Structures, Graph Algorithms, Dynamic Programming, String Matching Algorithms |
| CSM-103 | ADVANCED DATABASE MANAGEMENT SYSTEMS | Core | 4 | Query Processing and Optimization, Transaction Management, Distributed Databases, NoSQL Databases, Big Data Concepts |
| CSM-104 | ADVANCED OPERATING SYSTEMS | Core | 4 | Distributed Operating Systems, Real-Time Operating Systems, Mobile Operating Systems, OS Security, Virtualization Techniques |
| CSM-105 | SEMINAR | Project/Seminar | 2 | Research Topic Identification, Literature Review, Technical Presentation Skills, Report Writing, Academic Discussion |
| CSM-106 | LAB I (NETWORKS & OS) | Lab | 2 | Network Programming, Socket Programming, Operating System Calls, Shell Scripting, Network Configuration |
| CSM-107 | LAB II (DS & DBMS) | Lab | 2 | Data Structure Implementation, Algorithm Analysis, Advanced SQL Queries, Database Design, DBMS Tools |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSM-201 | RESEARCH METHODOLOGY & IPR | Core | 4 | Research Design, Data Collection Methods, Statistical Analysis, Report Writing, Intellectual Property Rights |
| CSM-202 | ADVANCED SOFTWARE ENGINEERING | Core | 4 | Software Design Patterns, Agile Methodologies, Software Testing Techniques, Software Quality Assurance, DevOps Principles |
| CSM-203 | MACHINE LEARNING | Core | 4 | Supervised Learning, Unsupervised Learning, Deep Learning Basics, Model Evaluation Metrics, Machine Learning Applications |
| CSM-204 | ELECTIVE-I | Elective | 4 | Distributed Systems, Cloud Computing Technologies, Big Data Analytics, Image Processing, Natural Language Processing, Internet of Things |
| CSM-205 | LAB III (ML & SE) | Lab | 2 | Machine Learning Algorithm Implementation, Software Design Tools, Automated Testing Frameworks, Data Visualization, Version Control Systems |
| CSM-206 | MINI PROJECT | Project | 4 | Problem Identification, System Design, Implementation and Testing, Project Documentation, Presentation of Results |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSM-301 | ELECTIVE-II | Elective | 4 | Distributed Systems, Cloud Computing Technologies, Big Data Analytics, Image Processing, Natural Language Processing, Internet of Things |
| CSM-302 | ELECTIVE-III | Elective | 4 | Distributed Systems, Cloud Computing Technologies, Big Data Analytics, Image Processing, Natural Language Processing, Internet of Things |
| CSM-303 | DISSERTATION PART I | Project | 12 | Research Problem Formulation, Extensive Literature Survey, Methodology Design, Preliminary Results, Academic Report Writing |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSM-401 | DISSERTATION PART II | Project | 20 | Advanced Research Execution, Experimental Design and Analysis, Comprehensive Data Interpretation, Thesis Writing and Documentation, Final Dissertation Defense |
