B.Tech. CSE Cloud Technology and Information Security

With increased adoption by enterprises, India’s Public Cloud Services (PCS) market will reach $ 10.8 billion by 2025, growing at a CAGR of 24.1% for 2020-25. It goes hand-in-hand with an increased focus on Information Security owing to the nature of data shared across these platforms. All these factors will create a requirement for skilled professionals in both fields.

To meet this upcoming demand, Teerthanker Mahaveer University has started the new-age B.Tech. CSE in Cloud Technology and Information Security programme. Designed and formulated by industry experts, it emphasizes practical and application oriented learning. With the potential to grow exponentially, skilled professionals get challenging job opportunities in this fast-growing industry.

  • Curriculum covers current-trend technologies
  • Curriculum designed as per current industry requirements
  • Program tailored to produce skilled and ready-to-deploy talent
  • Best-in-class faculty
  • Tech-enabled program delivery using tablets, PCs and learning management system
  • Access to cloud labs for 24×7 support*
  • Reputed university with excellent campus and infrastructure
  • 100% placement support*

Program Details

  • Prepare leading professionals in government, academia, and corporate having entrepreneurial pursuits.
  • Prepare graduates capable of articulating and solving problems in the field of Computer Technology specifically in the field of Cloud Technology and Information Security.
  • Prepare graduates with high learnability and adaptability to the constantly changing technological environment.
  • Prepare graduates to lead and ethically initiate the professional and organizational goals in an interdisciplinary team and obtain desired results.

Curriculum*

*Subject to change

  • Engineering Mathematics-I
  • Engineering Physics
  • Engineering Chemistry
  • Basic Electrical Engineering
  • Basic Electronics Engineering
  • Environmental Studies
  • English Communication – I
  • Web Designing
  • Engineering Physics (Lab)
  • Engineering Chemistry (Lab)
  • Basic Electrical Engineering (Lab)
  • Basic Electronics Engineering (Lab)
  • Engineering Drawing (Lab)
  • Workshop Practice (Lab)
  • Engineering Mathematics-II
  • Engineering Physics
  • Engineering Chemistry
  • Basic Electrical Engineering
  • Basic Electronics Engineering
  • Programming in C
  • English Communication – I
  • Engineering Physics (Lab)
  • Engineering Chemistry (Lab)
  • Basic Electrical Engineering (Lab)
  • Basic Electronics Engineering (Lab)
  • Engineering Drawing (Lab)
  • Workshop Practice (Lab)
  • Mathematics for Computer Science
  • Data Structures Using C++
  • Introduction to Cloud Computing
  • Computer Architecture and
  • Organizations
  • OOPS with Java
  • English Communication – III
  • Data Structures Using C++ (Lab)
  • OOPS with Java (Lab)
  • Project
  • Foundation in Quantitative Aptitude (Value Added Course*)
  • Data Base Management System
  • Python Programming
  • Computer Networks
  • Operating Systems
  • English Communication – IV
  • Data Base Management System (Lab)
  • Python Programming (Lab)
  • Professional Elective Courses – I
  • Analytical Reasoning (Value Added Course*)
  • Knowledge Representation and Reasoning
  • Theory of Computation
  • Information and Network Security
  • Principles of Virtualization
  • Human Values & Professional Ethics
  • Information and Network Security (Lab)
  • Principles of Virtualization (Lab)
  • Industrial Training Seminar
  • Professional Elective Courses-II
  • Modern Algebra and Data
    Management (Value Added Course*)
  • Managing Self (Value Added Course*)
  • Software Engineering
  • Ethical Hacking
  • Virtualization and Cloud Security
  • Linux Administration
  • Virtualization and Cloud Security (Lab)
  • Ethical Hacking (Lab)
  • Entrepreneurship
  • Professional Elective Courses – III
  • Professional Elective Courses – IV
  • Advance Algebra and Geometry (Value Added Course*)
  • Managing Work and Others (Value Added Course*)
  • Industrial Training**
  • Advanced Big Data Analytics
  • Machine Learning
  • Model Validation Techniques
  • Advanced Big Data Analytics (Lab)
  • Machine Learning (Lab)
  • Mini Project (Lab)
  • Industrial Training Seminar
  • Professional Elective Courses – V
  • Professional Elective Courses – VI
  • Open Elective Courses – I
  • Industry Internship
  • MOOC – Professional Certification Course based on Data Science
    OR
  • Project
  • Professional Elective Courses – VII
  • Open Elective Courses – II

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Enrolled: 2 students
Duration: 4 Years | Full-time Program