Program Features


  • Gain deep technical training in the areas of core artificial intelligence methods.
  • Understand and solve complex machine learning problems with structured and unstructured data.
  • Develop knowledge of business aspects that are important for solving and implementing data science solutions.


Learning Outcomes

The learning outcomes for the student will be:

  • Confidence and mastery in the entire AI algorithm development (understanding business problem to analytical and mathematical problem, data understanding, data preparation, modelling and evaluation).
  • Competency in algorithm development and data visualization tools including R, Python and Tableau
  • Hands on experience with building and applying learning to simple and complex projects involving structured and unstructured data.

Program Structure

The program has 4 academic terms including an industry-focused curriculum.

Quarter 1: Mathematics, Computer Science and Business

Foundations of Probability and Statistics for Data Science
Digital and Social Media Analytics
Business Communication and Presentation Skills for Data Analytics
Essential Engineering Skills in Data Analytics Using R and Python

Quarter 2: AI & ML

The Art and Science of Storytelling with data Visualizations
Statistics and Probability in Decision Modeling -1
Statistics and Probability in Decision Modeling -2
Hands-on Data Science Project 1

Eligibility & Program Fee

  • Mid-Level experienced professionals with preferably 2 yrs. of work experience.
  • Engineering (B Tech degree) or graduation in Maths/Computer Science/Statistics/Information Technology/Economics/M.Sc. Degree with Math components with minimum 50% marks at graduation level.
  • Option 1 : Full Fee Payment (in INR)

    3,25,000/- Full fee

    Admission Processing Fee : 1,200/-

  • Option 2 : Semester-wise fee payment (in INR)

    1,75,000/- Program fee
    per semester

    Admission Processing Fee : 1,200/-

    No. of Semester 2

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