2 Years
4 Semester Programme
18 Seats
Annual Intake Capacity
Since 1998
Established Legacy
Fees: ₹.1,75,000/-
Fees per Year
AICTE Approved
Approved / Recognised
Course Curriculum
Programme Overview
The M.Tech. in Computer Science & Engineering at Khaja Bandanawaz University is structured to meet the exponential global demand for high-end computing professionals, AI specialists, cloud architects, and cybersecurity experts.
The curriculum blends theoretical rigor with extensive practical experimentation, covering advanced data structures and algorithms, distributed computing architectures, machine learning, deep learning, cloud infrastructure, and network security. Students undertake guided research dissertations to solve real-world industry and societal challenges.
Eligibility Criteria
Candidates seeking admission into M.Tech. Computer Science & Engineering must meet the following criteria:
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Passed B.E. / B.Tech. in CSE / ISE / ECE or MCA / M.Sc. (CS/IT) from a recognized university.
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Valid score in Karnataka PGCET or GATE examination.
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Minimum qualifying marks as per University and AICTE norms.
Specialized Thrust Areas
Advanced core domains driving modern digital transformation, intelligence, and secure computing
Artificial Intelligence & Deep Learning
Neural networks, natural language processing (NLP), computer vision, generative AI, reinforcement learning, and cognitive computing.
Big Data Analytics & Data Science
Hadoop ecosystem, Apache Spark, NoSQL databases, predictive modeling, data mining algorithms, and business intelligence suites.
Cloud Computing & Distributed Systems
Cloud architecture, containerization (Docker/Kubernetes), microservices, virtualization, serverless computing, and edge nodes.
Internet of Things (IoT) & Sensor Networks
Embedded systems, wireless sensor networks, MQTT protocols, smart city frameworks, and industrial IoT (IIoT) automation.
Cybersecurity & Ethical Hacking
Cryptography, network security protocols, vulnerability assessment, penetration testing, digital forensics, and blockchain security.
Advanced Software Engineering & DevOps
Agile methodologies, continuous integration/continuous deployment (CI/CD) pipelines, software metrics, and quality assurance.
Programme Educational Objectives (PEOs)
Producing software engineers with advanced knowledge, critical skills and research readiness
1
Be software engineers who can design, code, test and implement computer programs.
2
Work effectively in multidisciplinary and multicultural environments and act as responsible members and leaders of their communities.
3
Act as administrators in public, private and government organisations; assess industry requirements and provide solutions with social and environmental consciousness.
4
Excel in their professional career by applying advanced knowledge and/or pursue doctoral studies and research that contributes to the profession as an excellent employee or entrepreneur.
Departmental Infrastructure & Facilities
High-end computing labs, specialized AI workstations, and digital resources supporting advanced research
High-Performance Computing (HPC) Lab
Equipped with high-end GPU workstations running TensorFlow, PyTorch, CUDA, MATLAB, and specialized machine learning frameworks.
Networking & Cybersecurity Suite
Dedicated lab featuring Cisco routers, switches, firewalls, and ethical hacking simulation tools for network defense training.
Central & Departmental Library
Extensive digital repository of IEEE, ACM, Springer research journals, textbooks, and computer science conference proceedings.
Expert Faculty & Industry Mentorship
Guidance from distinguished professors and industry practitioners specializing in AI, cloud systems, and data science.
Career Pathways & Industry Scope
Lucrative professional avenues across tech giants, AI startups, cloud providers, and R&D organizations
Artificial Intelligence / ML Engineer
Develop intelligent systems, predictive models, and deep learning algorithms for top-tier software companies and AI labs.
Academic Professorship & Ph.D. Research
Pursue doctoral research or join universities and engineering colleges as faculty members and research scientists.
Cloud Solutions Architect
Design, deploy, and manage scalable cloud infrastructure, containerized environments, and serverless applications.
Tech Entrepreneur & R&D Innovator
Launch technology startups, software product engineering firms, and specialized IT consultancy agencies.
Cybersecurity Specialist & Analyst
Protect enterprise networks, conduct penetration testing, manage security operations, and mitigate cyber threats.
Senior Data Scientist & Big Data Engineer
Extract actionable intelligence from massive datasets using Hadoop, Spark, and advanced machine learning pipelines.
Ready to Advance in Computer Science & Engineering?
Join M.Tech CSE at Khaja Bandanawaz University and build a career in software, research, networking and ICT industries.
For admissions guidance and registration details, reach out to the Khaja Bandanawaz University Admission Cell.
Email: admissions@kbn.university | Contact: +91 8472 236041 / 228540
