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About This Course

Sanskriti University offers B.Tech programs in diverse engineering disciplines including Mechanical Engineering, Artificial Intelligence & Machine Learning, Cyber Security, Data Science, Cloud Computing, and Information Technology. These 4-year industry-driven programs equip students with modern technical expertise, project-based learning, and future-ready skills aligned with national and global job markets. The curriculum is crafted in line with NEP 2020 and AICTE standards, with a strong emphasis on innovation, research, and employability.

Key Details

Prerequisites

  • 10+2 with Physics, Chemistry, and Mathematics (PCM)

  • Minimum 50% aggregate marks

  • Curiosity and aptitude for technology, problem-solving, and logical reasoning

Syllabus Overview

Mechanical Engineering:

  • Thermodynamics, Fluid Mechanics, Machine Design, CAD/CAM, Robotics

AI & ML:

  • Python Programming, Neural Networks, Deep Learning, Natural Language Processing, AI Applications

Cyber Security:

  • Network Security, Cryptography, Ethical Hacking, Risk Management, Cyber Law

Data Science:

  • Data Analytics, Statistics, Python/R, Big Data, Machine Learning, Data Visualization

Cloud Computing:

  • Virtualization, AWS/Azure Fundamentals, DevOps, Cloud Architecture, SaaS/PaaS/IaaS

Information Technology (IT):

  • Software Engineering, Web Technologies, Computer Networks, Database Systems, IoT

Learning Outcomes

Graduates will:

  • Master modern tools, programming languages, and industry platforms

  • Solve real-world problems through innovative design and development

  • Be prepared for placements in MNCs, tech startups, or pursue higher studies

  • Gain certifications and project exposure in trending tech areas

  • Acquire strong foundations for GATE, GRE, or public sector opportunities

Admission Requirements

  • 10+2 with PCM from a recognized board

  • Minimum 50% marks (relaxation for SC/ST/OBC as per norms)

  • Admission through university entrance or merit-based selection

Course Illustration

Duration: 6 weeks

Lectures: 24

Level: Beginner

Language: English

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