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🎓 Admissions Opened 2026

M.Tech in Computer Science & Engineering

Master complex architectures, decentralized software ledgers, and elite computing automation frameworks.

PG CSE Core Specialization Matrix

Advanced Algorithms
Cloud Infrastructures
AI & Machine Learning
Blockchain Technologies
Cybersecurity Arrays
Data Science Metrics

Academic Regulations

Active PG Framework

R25 Regulations

Comprehensive layout structural matrix for postgraduate studies, credit metrics alignment, core dissertation thesis guidelines, and advanced computing assessment frameworks required for compliance.

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🔍 Core Learning Tracks

  • Advanced Algorithms & Structures

    • Design and analysis of complex algorithms
    • Graph theory & NP-completeness
    • System optimization techniques

  • Machine Learning & Intelligence

    • Supervised and unsupervised models
    • Deep learning & neural architectures
    • Natural Language Processing nodes

  • Advanced Operating Systems

    • Process synchronization & memory boundaries
    • Distributed logic environments
    • Kernel-level runtime programming

  • Networks & Cybersecurity

    • Network architecture loops & protocols
    • Secure systemic infrastructure design
    • Ethical hacking & cryptographic validation

  • Cloud & Scalable Architecture

    • Virtualization clusters & Kubernetes layers
    • Distributed transactional databases
    • Serverless pipeline configurations

  • Big Data & Array Analytics

    • Hadoop systems (MapReduce, HDFS arrays)
    • Apache Spark stream processing
    • Real-time telemetry mining

Course Logistics

Duration & Framework

2 Years (4 Semesters) structured research degree aligned with formal AICTE standards.

Eligibility Criteria

B.Tech/B.E in Computer Science or equivalent verified credentials.

Applied Internships

Compulsory final-semester industrial live projects inside core partner infrastructure nodes.

ABOUT THE PG CSE SPECIFICATION