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Quick Facts

Medium Of InstructionsMode Of LearningMode Of DeliveryFrequency Of Classes
EnglishSelf Study, Virtual ClassroomVideo and Text BasedWeekends

Course Overview

The PG Diploma In Data Science & AI by Indraprastha Institute of Information Technology, Delhi, is one of India's important programmes in Data Science. This program helps in bridging the gap between the supply and demand of data scientists for the industry. The candidates are well strengthened in the fundamentals of mathematicsstatistics and trained with the intelligence to solve real-world problems. The PG Diploma In Data Science & AI certification syllabus is a 9-month programme spanning 450 hours of learning, including 310 hours of live sessions and self-study and 140 hours of project work. The programme is taught on weekends and offers a verified certificate and placement support. 

The Highlights

  • 9-month programme
  • 450 hours learning
  • 310 hours self-study and lectures
  • 140 hours project work
  • 16 world-class faculty instructors
  • 30 credits programme
  • 3-trimester programme
  • Dual certificate (Diploma + IBM)
  • Placement support

Programme Offerings

  • project work
  • live sessions

Courses and Certificate Fees

Certificate AvailabilityCertificate Providing Authority
yesIIIT DelhiIBM

The fee structure in PG Diploma In Data Science & AI is set as follows-

  • The admission fee (Non-refundable) is Rs. 2,000
  • Programme fee is Rs. 2,10,000
  • GST at 18% is Rs. 37,800
  • The total Fee is Rs. 2,49,800

Post Graduate Diploma Program in Data Science and  Artificial Intelligence Fees Structure

Particulars

Amount in INR

Non-refundable admission fee

Rs. 2,000

Programme fee

Rs. 1,25,000 

GST 

Rs. 22,500 

Total Fee 

Rs. 1,60,000 

Note: The program requires a one-time refundable deposit of Rs. 10,000 with a deductible convocation fee of Rs. 1,500 to 2,000.


Eligibility Criteria

Work Experience

Candidates enrolling for the PG Diploma In Data Science & AI need to have desirable work experience in their fields. 

Education

The PG Diploma In Data Science & AI online course requires the candidate to have a minimum 3 year Bachelor’s degree, preferably in Engineering, with 50% or 5.5 CGPA, with knowledge of two mathematics courses and one computer programming course.

Certification Qualification Details

For being awarded the PG Diploma In Data Science & AI certification, the candidate must attend the 450-hour long training covering lectures, assessments, and project work. 

What you will learn

Statistical skillsMachine learningData science knowledgeBusiness analytics knowledge

The PG Diploma In Data Science & AI certification course will help students learn the following:

  • The PG Diploma In Data Science & AI certification syllabus will help students get a good understanding of mathematical analysis, statistics, and optimisation fundamentals
  • Candidates will develop knowledge of supervised and unsupervised machine learning techniques and related data analysis techniques
  • Candidates will gain the ability to solve real-world issues that arise in a variety of industries
  • Candidates will develop methods to apply visualisation tools and meaningful summary statistics to study data
  • Candidates will learn more about basic Extraction transformation and loading (ETL) on data
  • Candidates will get a theoretical grasp of techniques and intricacies in business analytics.  
  • Candidates will develop deep knowledge in a variety of business application domains

Who it is for

The PG Diploma In Data Science & AI certification course is for the following

  • Candidates who wish to learn and become data scientists in a relevant industrial sector


Application Details

For admission into the PG Diploma In Data Science & AI training, the applicant must follow the main steps provided below.

  • The candidate has to visit the official course webpage.
  • Click on the option “Apply Now” to begin the application process
  • The candidate has to complete all details regarding academic credentials and experience and pay the application fee
  • Upon evaluation of their profiles, candidates will get shortlisted for interviews
  • After the candidate successfully clears the interview, they will have to pay the programme fee and enrol in the programme

The Syllabus

Python Programming for analytics
Probability and Statistics
Mathematics and optimization theory
Business Intelligence

Introduction to Machine Learning
Data Science
Natural Language Processing
Big Data Analytics in application
Data Mining

Application of ML/DL
Deep Learning
Artificial Intelligence in applications
Project

Instructors

IIIT Delhi Frequently Asked Questions (FAQ's)

1: What is the eligibility criteria to enroll for this certification?

The PG Diploma In Data Science & AI training will require the candidate to have good knowledge of programming, mathematics and also possess a minimum 3 year Bachelor’s degree. 

2: What is the admission process to enroll in this certificate course?

The PG Diploma In Data Science & AI online course offers admission to candidates who are shortlisted for interviews after profile evaluation and can clear the interview for final selection.

3: How is the course structure planned for the enrolled candidates?

The programme offers 450 hours of coursework, including 310 hours of lectures and self-learning and 140 hours of project work. 

4: What is the prominent edge provided to candidates by IIITD through this course?

The IIITD, with its PG Diploma In Data Science & AI certification, provides quality infrastructure and facility, world-renowned faculty, quality education, alumni status, placement support and dual certification.

5: What are some of the important programme offerings?

The PG Diploma In Data Science & AI programme offers lab work, live lectures, and project work.

6: What are some of the core areas covered in this programme?

The programme covers some important modules and lectures in Statistics, Optimisation, Mathematical analysis, Unsupervised machine learning, Supervised machine learning, Visualisation tools, Data analysis, Extraction transformation and loading (ETL), and Business analytics.

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