M.Tech – Computer Science and Engineering (CSE)

Professional Core – I

☛ Mathematical Foundations of Computer Science (3 Credits)

Professional Elective – I

☛ Advanced Data Structures (3 Credits)

Professional Elective – I

☛ Database Programming with PL/SQL (3 Credits)

☛ Deep Learning (3 Credits)

☛ Natural Language Processing (3 Credits)

Professional Elective – II

☛ Applied Cryptography (3 Credits)

☛ Software Quality Engineering (3 Credits)

☛ Mining Massive Datasets (3 Credits)

Lab – I

☛ Advanced Data Structures Lab (2 Credits)

Lab – II

☛ Professional Elective – I Lab (2 Credits)

☛ Research Methodology & IPR (2 Credits)

Audit– I

☛ Audit Course- I (0 Credits)

Professional Core – II

☛ Advanced Algorithms (3 Credits)

Professional Core – II

☛ Advanced Computer Networks (3 Credits)

Professional Elective – III

☛ Enterprise Cloud Concepts (3 Credits)

☛ Advanced Computer Architecture (3 Credits)

☛ Edge Analytics (3 Credits)

Professional Elective – IV

☛ Bioinformatics (3 Credits)

☛ Nature Inspired Computing (3 Credits)

☛ Robotic Process Automation (3 Credits)

Lab – III

☛ Advanced Algorithms Lab (2 Credits)

Lab – IV

☛ Advanced Computer Networks Lab (2 Credits)

☛ Mini Project with Seminar (2 Credits)

Audit– II

☛ Audit Course- II (0 Credits)

Professional Elective -V

☛ Digital Forensics (3 Credits)

☛ High Performance Computing (3 Credits)

☛ Quantum Computing (3 Credits)

Open Elective

☛ Open Elective (3 Credits)

Dissertation

☛ Dissertation Work Review – II (6 Credits)

Dissertation

☛ Dissertation Work Review – III (6 Credits)

☛ Dissertation Viva-Voce (14 Credits)


Note : For Dissertation Work Review – I, please refer 7.10 in R19 Academic Regulations.Audit Course
I&II :
English for Research Paper Writing
Disaster Management
Sanskrit for Technical Knowledge
Value Education
Constitution of India
Pedagogy Studies
Stress Management by yoga
Personality Development Through Life Enlightenment Skills
Open Electives for other Departments:
IPR
Fault Tolerance Systems
Intrusion Detection Systems
Digital Forensics
Optimization Techniques
Cyber Physical Systems
Graph Analytics