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Eligibility

Passed with min % in PCM for GEN & % for SC/ST/OBC

Duration

2 Year

The Postgraduate Diploma in Artificial Intelligence and Data Science is a specialized program designed to equip students with advanced knowledge in machine learning, deep learning, big data analytics, and intelligent systems. The course combines theoretical foundations with hands-on practical training using modern tools and technologies.

The program focuses on data-driven decision-making, predictive modeling, automation, and AI-powered solutions across industries such as healthcare, finance, retail, manufacturing, and information technology. Students gain expertise in programming, statistical analysis, data visualization, and AI model deployment.

This diploma is ideal for graduates in engineering, computer science, mathematics, statistics, IT, or related disciplines who wish to build a career in the rapidly growing field of AI and Data Science.

After completing the PG Diploma in Artificial Intelligence and Data Science, graduates can explore the following career paths:

  • Data Scientist

  • Artificial Intelligence Engineer

  • Machine Learning Engineer

  • Data Analyst

  • Business Intelligence Analyst

  • Big Data Engineer

  • AI Research Associate

  • NLP Engineer

  • Computer Vision Engineer

  • Data Engineer

Employment opportunities are available in IT companies, fintech firms, healthcare organizations, e-commerce platforms, research institutions, consulting firms, and multinational corporations.

With experience, professionals can advance to roles such as Senior Data Scientist, AI Architect, Analytics Manager, or Chief Data Officer.

The syllabus typically includes the following subjects:

Core Subjects

  • Fundamentals of Artificial Intelligence

  • Probability and Statistics for Data Science

  • Programming for Data Science (Python/R)

  • Data Structures and Algorithms

  • Database Management Systems

  • Data Visualization Techniques

Advanced AI & Data Science Modules

  • Machine Learning

  • Deep Learning

  • Natural Language Processing

  • Computer Vision

  • Big Data Analytics

  • Reinforcement Learning

  • Neural Networks

  • Cloud Computing for AI

Practical & Industry Components

  • Data Mining and Warehousing

  • AI Model Deployment

  • Capstone Project

  • Internship / Industrial Training

  • Research Methodology

The curriculum is designed to provide strong conceptual understanding along with practical exposure to real-world AI applications.

The admission process for this course is simple, transparent, and fully assisted by ADMISSION DUNIYA, India’s trusted educational consultancy. Our expert counselors guide students at every step, from enquiry to final admission confirmation.

Step-by-Step Admission Process:

  • Course Enquiry
  • Submit your enquiry online or directly contact our counseling team via Call or WhatsApp.
  • Free Career Counseling
  • Get personalized guidance on course selection, eligibility, colleges, fees, and career scope.

Eligibility Check & Document Verification:

  • Our experts verify your academic eligibility and documents as per university norms.
  • College & Seat Selection
  • Choose the best college/university based on merit, budget, location, and availability.
  • Application & Admission Support
  • We assist in application filling, fee payment, and admission formalities.
  • Admission Confirmation
  • Receive official admission confirmation from the college/university.

Talk to Our Admission Experts (Interactive):

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Why Choose ADMISSION DUNIYA?

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FAQ

A PG Diploma in Artificial Intelligence and Data Science is a postgraduate-level program designed to provide advanced knowledge and practical skills in AI, machine learning, data analytics, big data, and related technologies.

The duration typically ranges from 1 year to 2 years, depending on the institute and mode of study (full-time, part-time, or online).

Candidates generally need: A Bachelor’s degree in Engineering, Computer Science, IT, Mathematics, Statistics, or related fields Minimum 50% aggregate marks (may vary by institute) Basic knowledge of programming and mathematics is preferred

Basic knowledge of programming (especially Python, R, or Java) is recommended but not always mandatory. Some institutes offer foundation modules for beginners.

The syllabus typically includes: Programming for Data Science (Python/R) Statistics & Probability Machine Learning Deep Learning Natural Language Processing (NLP) Computer Vision Big Data Analytics Data Visualization AI Ethics & Governance Capstone Project / Industry Internship

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