Programme Overview

The Diploma in Computer Science and Engineering (Artificial Intelligence and Machine Learning) is an industry-oriented three-year undergraduate diploma program designed to prepare students for the rapidly growing fields of Artificial Intelligence, Machine Learning, Data Science, and Software Development. The program provides a strong foundation in computer programming, algorithms, database management, cloud computing, and intelligent systems while emphasizing hands-on practical learning through coding labs, live projects, hackathons, and industry training. Aligned with AICTE curriculum standards, the program equips students with future-ready technical skills required in modern IT and AI-driven industries.

  • 3 Years

    Duration of programme

  • UG

    Level of Study

Key Highlights

AICTE aligned curriculum focused on emerging AI and Machine Learning technologies.
Hands-on training in programming, data analytics, machine learning models, and AI applications.
Modern computer laboratories with industry-standard software tools and cloud-based learning.
Project-based learning, coding competitions, internships, and industry interaction sessions.
Strong career opportunities in software development, AI, data science, automation, and IT services.

How will you benefit

Develop practical coding, analytical, and problem-solving skills in AI and computer science.
Gain industry exposure through internships, live projects, workshops, and hackathons.
Enhance employability in software development, AI, machine learning, and data-driven industries.
Build a strong foundation for higher studies and advanced certifications in emerging technologies.

What will you study

You will learn programming languages, data structures, and database management systems that form the foundation of modern computing and software development.

Students gain knowledge of artificial intelligence, machine learning, and data analytics used to develop intelligent and data-driven solutions.

The program provides practical exposure to cloud computing, web technologies, and software engineering for modern application development.

You will also study computer networks, cyber security, and intelligent automation systems used in advanced digital and AI-powered industries.

  • PO-1- Apply computer science fundamentals and programming skills to solve real-world problems.
  • PO-2- Develop software applications and intelligent systems using modern programming tools and technologies.
  • PO-3- Analyze and interpret data using machine learning and artificial intelligence techniques.
  • PO-4- Design and manage databases, networks, and cloud-based systems effectively.
  • PO-5- Apply software engineering principles, cybersecurity practices, and ethical standards in IT environments.
  • PO-6- Demonstrate teamwork, communication, and project management skills in multidisciplinary projects.
  • PO-7- Adapt to emerging technologies and industry trends in AI, ML, and software development.
  • PO-8- Pursue lifelong learning and professional growth in computer science and AI-related domains.

  • PSO-1- Develop and deploy AI and machine learning models for practical applications.
  • PSO-2- Design software solutions using programming languages, frameworks, and modern development tools.
  • PSO-3- Analyze datasets and apply data analytics techniques for informed decision-making.
  • PSO-4- Implement cloud computing, networking, and cybersecurity solutions effectively.
  • PSO-5- Develop intelligent automation systems and AI-driven applications.
  • PSO-6- Use modern development environments, databases, and software engineering methodologies.
  • PSO-7- Demonstrate competency in web technologies, mobile applications, and emerging IT tools.
  • PSO-8- Work effectively in multidisciplinary teams and adapt to rapidly evolving technologies.

  • PEO-1- Provide students with strong theoretical and practical knowledge in computer science and AI technologies.
  • PEO-2- Develop competent professionals capable of solving industry-oriented computing and automation problems.
  • PEO-3- Prepare students for employment in software, AI, data analytics, and IT-enabled service industries.
  • PEO-4- Encourage innovation, creativity, analytical thinking, and entrepreneurial skills.
  • PEO-5- Promote ethical practices, cybersecurity awareness, and responsible use of technology.
  • PEO-6- Develop communication, leadership, teamwork, and project management abilities.
  • PEO-7- Encourage lifelong learning and adaptation to emerging technologies and industry trends.
  • PEO-8- Prepare students for higher education, advanced certifications, and research opportunities.

Curriculum

  • Engineering Mathematics-I
  • Engineering Physics
  • Communication Skills
  • Computer Fundamentals
  • Programming in C
  • Workshop Practice

  • Engineering Mathematics-II
  • Data Structures
  • Digital Electronics
  • Database Management Systems
  • Web Technologies
  • Computer Organization

  • Object Oriented Programming using Java
  • Operating Systems
  • Computer Networks
  • Python Programming
  • Software Engineering
  • Machine Learning Fundamentals

  • Artificial Intelligence
  • Data Analytics
  • Cloud Computing
  • Cyber Security
  • Mobile Application Development
  • Industrial Training

  • Deep Learning
  • Internet of Things (IoT)
  • Big Data Technologies
  • AI Applications and Automation
  • UI/UX Design
  • Project Work-I

  • Natural Language Processing
  • Entrepreneurship Development
  • Advanced Machine Learning
  • Software Project Management
  • Project Work-II
  • Seminar and Viva Voce

CAREERS AND EMPLOYABILITY

AI and Machine Learning Technician
Software Developer
Data Analyst
Cloud and Network Support Executive

ELIGIBILITY CRITERIA

10th class passed

with minimum 50% marks.

 

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Programmes

Registered Office

Dr. C.V. Raman University

Village:- Balkhadsura, Post:- chhaigaon Makhan, Khandwa MP, PinCode:-450771

7320-247700 | 7320-247701 | 6269001060

info@cvrump.ac.in

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