- Distinguished Faculty
- Alumni
- Hiring partners
To deliver exceptional, high quality, competitive & profitable professionals educated in the field of computer sciences and engineering with the latest technologies.
**subject to submission of undertaking along with the Joining Letter/Offer Letter.
No age limit is prescribed for Admission
Earn a UGC & AICTE-recognised Master of Technology (M.Tech) degree from Lingaya's Vidyapeeth
| M.Tech in Computer Science and Engineering | ||||
| SEMESTER – I | ||||
| S. No. | Course Name | L-T-P | Cr. | Course Code |
| 1 | Mathematical Foundation of Computer Science | 3-0-0 | 3 | CS-501 B |
| 2 | Big Data Analytics | 3-0-0 | 3 | CS-503 B |
| 3 | Object Oriented Design and Analysis | 3-1-0 | 3 | CS-505 B |
| 4 | Advanced Data Structure & Algorithm | 3-1-0 | 3 | CS-507 B |
| 5 | Elective I | 3-1-0 | 3 | |
| 6 | Object Oriented Design Lab | 0-0-4 | 2 | CS-553 B |
| 7 | Advanced Data Structure lab | 0-0-4 | 2 | CS-555 B |
| 19 | ||||
| M.Tech in Computer Science and Engineering | ||||
| SEMESTER – II | ||||
| S. NO. | Subject Name | L T P | Credits | Course Code |
| 1 | Trends in AI & Soft Computing | 3-0-0 | 3 | CS-502 B |
| 2 | Research Methodology and IPR | 3-0-0 | 3 | CS-504 Bl |
| 3 | Data Mining and Data Warehousing | 3-0-0 | 3 | CS-506 B |
| 4 | Elective II | 3-0-0 | 3 | |
| 5 | Soft Computing & AI Lab | 0-0-4 | 2 | CS-552 B |
| 6 | Data Mining Lab | 0-0-4 | 2 | CS-554 B |
| 7 | Project with Seminar | 0-0-8 | 4 | CS-556 B |
| 19 | ||||
| M.Tech in Computer Science and Engineering | ||||
| SEMESTER – III |
||||
| S. No. | Course Name | L-T-P | Cr. | |
| 1 | Digital Image Processing | 3-0-0 | 3 | |
| 2 | Data Science using python | 3-0-0 | 3 | |
| 3 | Machine Learning | 3-0-0 | 3 | |
| 4 | Natural Language Processing and Text Managing | 3-0-0 | 3 | |
| 5 | Elective III | 3-0-0 | 3 | |
| 6 | Data Science using python lab | 3-0-0 | 3 | |
| 7 | Dissertation Preliminary** | 0-0-4 | 2 | |
| 8 | Seminar II | 0-0-4 | 2 | |
| 19 | ||||
| M.Tech in Computer Science and Engineering | ||||
| SEMESTER – IV |
||||
| S. No. | Course Name | L-T-P | Cr. | |
| 1 | Elective IV | 0-0-8 / 3-0-0 | 4/3 | |
| 2 | Dissertation | 0-0-42 | 21 | |
| 3 | Seminar III | 0-0-4 | 2 | |
| 19 | ||||
A postgraduate degree in computer engineering is known as a Master of Technology (M.Tech). Computer Architecture, System Design, AI System, Cloud Computing, Data Structures and Algorithms, Soft Computing, Image Access, and VLSI are some of the core concepts covered in this course.
The average salary of an MTech Computer Science graduate is about Rs. 7,00,000 LPA.
Yes, part-time M.Tech programmes are designed specifically for applicants who wish to pursue their degree while working full-time.
Some of the best subjects in MTech CSE are Algorithm Design and Analysis, Data Communication and Computer Network, Advanced Database Management Systems, Modelling and Simulation of Digital Systems, Statistical Modelling for Computer Sciences Forensic Computing.
Students interact with the faculty members in a live class.Classes are held during weekdays (in the evening), weekends and on holidays in flexible time shifts.
Physical laboratory sessions are held at the campus on Saturday.The lab is having state of the art facility for the experimental work in the related area.
Students can access learning materials in various formats: text, video lectures, e-notes, etc. 24*7 through a Learning Management System (LMS).
Student’s performance is assessed continuously throughout the semester by quiz, assignments, mid-semester and comprehensive exams. The assessment results are shared with the students to improve their performance.
Final semester student’s carry out a project work applying the various concepts learned in classrooms and labs under the guidance of a mentor.
**As per the article 7.10 of Chapter-VII of AICTE APH 2023-24 and in accordance with the public notice published on 14 Aug, 2020 by AICTE vide F.No. AICTE/AB/Academics/2020-21.
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