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Home Courses OP Jindal Global University | Master in Artificial Intelligence and Data Science

OP Jindal Global University | Master in Artificial Intelligence and Data Science

Demystifying Algorithms, Empowering Intelligence

Course Snapshot

  • FeeINR 2,75,000/-
  • Work Experience0 - 30 Years
  • Duration12 Months
  • Delivery MethodOnline

Course Detail

Programme Overview:

The Jindal Centre for Digital Sciences (JCDS) is dedicated to advancing STEM through a focus on artificial intelligence, algorithmic intelligence, and data science. It equips students and professionals with the skills needed for today's digital world, offering a Master's in Artificial Intelligence and Data Science that combines theory with hands-on experience. JCDS promotes innovation, interdisciplinary collaboration, and industry partnerships, preparing graduates for global digital challenges. With a distinguished faculty in fields like quantum computing and machine learning, JCDS is committed to shaping the future of technology and data-driven decision-making.

Programme Highlights:

  • Optimized for Efficient Learning: First and only one year AI master's in India at an affordable price point.
  • Designed by Eminent Faculty: Distinguished faculty at JGU, including professor Dinesh Singh, (Padma Shri awardee) have curated the curriculum.
  • Zero to One Principle: From intuitive maths concepts to technical expertise and business application. No prior coding experience required.
  • Diverse Range of Outcomes: Unique blend of analytics, data science, and AI/ML skills for achieving range of outcome in the DS/ML/AI Industry.
  • Infused with GenAI: Dedicated GenAI modules for coding and data science efficiency along with a dedicated course on Gen AI technologies.
  • Microsoft Certification: Chance to earn a complementary Microsoft certificate.
  • Capstone Project Choices: Selection of capstone projects across various industries, including finance, healthcare and ecommerce.

Desired Candidate Profile

  • The candidate must hold a bachelor's degree.
  • Candidates who have less than 50% marks in graduation have to appear for an online Entrance examination.

Course Modules

Trimester - I:

  • Mastering the Building Blocks of Data Science Probability and Statistics.
  • Mastering the Building Blocks of Machine Learning Linear Algebra and Calculus.
  • Building Expertise in Python Programming for Data Science and Machine Learning.
  • Generating Meaningful Insights in Data.
  • Building Familiarity with Universal Python Libraries for Data Science and Machine Learning.
  • Complementary Microsoft Course - 1-.

Trimester - II

  • Unravelling Machine Learning Fundamentals.
  • Demystifying Deep Learning and its Applications.
  • Conducting Analytics at Large Scale on Big Data.
  • Building Familiarity with Popular Analytics Tools such as Excel, Power BI, and Tableau.
  • Mastering the Structured Management of Databases.
  • Complementary Microsoft Course - 2-.

Trimester - III

  • Mastering Classical Machine Learning Models.
  • Building Familiarity with Modern ML & AI Technologies for Businesses.
  • Complementary Microsoft Course - 3.
  • Business Domain Based Capstone Project.