Executive PGDM - AI and Data Science
EXECUTIVE EDUCATION
UNLOCK YOUR POTENTIAL | ELEVATE YOUR CAREER
Batch Commencement: February 2024
Overview
The Executive PGDM in AI and Data Science is an advanced program that empowers mid-career professionals to excel in the rapidly evolving field of AI and Data Science. Through a comprehensive curriculum, participants gain a deep understanding of data models, AI for decision-making, and computational design, mastering cutting-edge techniques such as predictive analytics, machine learning, and algorithmic methods, while also exploring business intelligence and programming languages for Data Science. With a focus on practical application, the program culminates in a capstone project, allowing professionals to reinforce their learning and develop hands-on skills. The part-time or blended mode of study enables professionals to continue working while benefiting from this transformative program, harnessing the power of AI to drive organizational success.
Course Delivery
Hybrid / On-campus / Weekend Classes
Program Outcomes
- Apply advanced management theories to drive sustainable business growth.
- Develop analytical and critical thinking skills for data-driven decision-making.
- Cultivate value-based leadership qualities.
- Understand and communicate global, economic, legal, and ethical aspects of business.
- Contribute effectively to organizational goals and collaborate within teams.
- Master business applications of AI and data science.
- Utilize predictive, descriptive, and contextual analytics to solve complex problems.
- Deploy AI tools for informed decision-making in organizations.
Program Structure
Semester I | Semester II | Capstone Project |
---|---|---|
|
|
|
|
Value Added Coursera Courses:
- IBM AI Foundation for Business (Specialization): IBM
- IBM Data Science (Specialization): IBM
- Introduction to Machine Learning in Production: AI
Guided Projects from Coursera:
- ChatGPT for Beginners: Using AI For Market Research
- Getting Started with R
- Introduction to Python
- SQL for Beginners: Querying Data