Future-Ready IT Master’s Degree: A 2-year postgraduate program designed to develop advanced software development, cloud computing, and data science professionals for the modern digital industry.
Industry-Aligned Learning: UGC & NEP aligned curriculum with hands-on labs, live projects, internships, and certification-based skill training.
High-Growth Career Pathways: Opens opportunities in software development, full-stack engineering, data analytics, cloud computing, AI, and emerging digital technology domains.
Innovation-Driven Training: Empowers students to build intelligent digital solutions for business, healthcare, finance, and next-generation IT industries.
Core Programming & Development Lab
Python, Java, C/C++, Git, GitHub, Linux, VS Code
Web & Full-Stack Development Lab
HTML, CSS, JavaScript, React, Node.js, Express, REST APIs
Database & Data Management Lab
MySQL, PostgreSQL, MongoDB, Firebase
Cloud Computing & DevOps Lab
AWS, Microsoft Azure, Docker, Kubernetes, CI/CD tools
Data Analytics & AI Lab
Python analytics libraries, Power BI, machine learning tools
Cyber Security & Networking Lab
Linux security tools, firewall simulation, network monitoring tools
Testing & Quality Assurance Lab
Postman, Selenium, JUnit, PyTest
Project & Innovation Lab
Live project development, hackathons and startup incubation support
Eligibility
Passed any graduation degree Minimum 50% marks (as per university norms) with mathematics or statistics or mathematics related course at 10+2 level is preferred. In case of non-mathematical background, the student must undergo mathematics as bridge course.
Duration
4 Semester (2 Years ) as per NEP guideline
Tuition Fees
₹ 50,000 per Semester
*Fees such as Admission, Caution Money,
Examination, Hostel, and Transport fees are extra.
Selection Criteria
Admission will be done on the basis of merit which includes any recognized JEE or JKUEE & PI or as per AICTE guidelines.
1
Apply advanced programming and software engineering concepts to real-world applications
2
Design, develop and deploy full-stack and cloud-based software solutions
3
Analyze data and implement intelligent systems using AI and machine learning
4
Use DevOps and MLOps tools for scalable and secure application deployment
5
Demonstrate professional communication, teamwork and project management skills
6
Follow ethical, secure and responsible computing practices
7
Be prepared for research, higher studies and global IT certifications
8
Gain readiness for software, analytics and digital technology careers
Core Subjects: Advanced Programming, Data Structures, DBMS, Operating Systems, Computer Networks, Software Engineering
Skill Areas: Full-Stack Development, Cloud Computing, Data Analytics, Artificial Intelligence, Cybersecurity Fundamentals
Practical Exposure: Advanced labs, live projects, internships, hackathons, and apprenticeship-based learning
Tools & Platforms: Python, Java, React, Node.js, MySQL, PostgreSQL, MongoDB, AWS, Azure, Docker, Kubernetes
Outcome: Software Engineer, Full-Stack Developer, Cloud Engineer, Data Analyst, Cybersecurity Specialist, with readiness for higher studies & research pathways
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