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PG Program in Data Science and Business Analytics
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PG Program in Data Science and Business Analytics

The PG Program in Data Science and Business Analytics offers comprehensive training in cutting-edge Data Science technologies. You'll master Python, Tableau, Machine Learning, AI, and Generative AI while gaining practical skills through hands-on projects. The program includes dual certification from McCombs School of Business at The University of Texas at Austin and Great Lakes Executive Learning. With modules on ChatGPT, Generative AI, and Business Analytics, you'll develop the expertise to solve complex business problems and drive strategic decisions. The curriculum combines theoretical knowledge with practical applications, preparing you for roles like Data Scientist, Machine Learning Engineer, and Business Analyst.

1,95,000

Course Start Date: Starting Soon

Application Deadline: 27th Dec, 2025

Duration: 12 Months

Overview

The PG Program in Data Science and Business Analytics offers comprehensive training in cutting-edge Data Science technologies. Students master Python, Tableau, Machine Learning, AI, and Generative AI while gaining practical skills through hands-on projects. With dual certification from McCombs School of Business at The University of Texas at Austin and Great Lakes Executive Learning, graduates are well-positioned for top Data Science careers. The program includes modules on ChatGPT, Generative AI, and Business Analytics, developing expertise to solve complex business problems and drive strategic decisions.

Why Technology & Analytics?

This Data Science program stands out with its industry-ready curriculum designed by experts from a world-leading university. You'll earn prestigious dual certificates from Texas McCombs and Great Lakes Executive Learning, enhancing your global credentials. The program offers flexible learning with 500+ hours of online content, 11+ hands-on projects across 18+ domains, and experience with 22+ in-demand tools. You'll receive expert mentorship, 1:1 personal assistance, and dedicated career support to secure top Data Science roles. With a legacy of success spanning 11 years and 300+ graduating batches, this program has helped thousands achieve successful career transitions.

What does this course have to offer?

Key Highlights

  • Advanced Modules on ChatGPT & Generative AI

  • Industry-ready curriculum

  • Learn from world-leading university

  • Flexible learning with 500+ hours of content

  • 11+ hands-on projects & 22+ tools

  • Expert mentorship and support

  • Legacy of success with 11+ years of excellence

Who is this programme for?

  • Young professionals & new graduates looking to build a foundation in Data Science

  • Mid-senior professionals wanting to boost analytics skills

  • Non-tech professionals breaking into the Data Science field

  • Project Managers & Business Leaders seeking to lead data-driven initiatives

Minimum Eligibility

Bachelor's degree with a minimum of 50% aggregate marks or equivalent

Not sure whether you qualify for this programme?

Admission Overview

The academic structure involves a blended learning approach with live online sessions, self-paced modules, and in-campus immersion. Evaluation includes case studies, assignments, and a capstone project to ensure practical application of business management and entrepreneurial concepts.

Selection process

How to apply?

Curriculum

The PG Program in Data Science curriculum is meticulously designed to provide a comprehensive understanding of data science concepts, tools, and applications. The program covers essential topics like Machine Learning, SQL, Predictive Modeling, Python, Natural Language Processing (NLP), Data Visualization using Tableau, Neural Networks & Computer Vision, Data Analysis, Deep Learning, Generative AI, Prompt Engineering, Model Deployment, Hugging Face, Supervised Learning, and Unsupervised Learning. Students work on 11+ hands-on projects, including a capstone project, across 18+ domains like Food and Beverages, News and Media, Retail, Hospitality, Banking and Finance, and Agriculture. The program ensures practical learning with 22+ industry-relevant tools.

There are 14 semesters in this course

The PG Program in Data Science includes modules on Machine Learning, SQL, Predictive Modeling, Python, Natural Language Processing (NLP), Data Visualization using Tableau, Neural Networks & Computer Vision, Data Analysis, Deep Learning, Generative AI, Prompt Engineering, Model Deployment, Hugging Face, Supervised Learning, and Unsupervised Learning. Students work on 11 hands-on projects and a capstone project across various domains including Food and Beverages (Customer Demand Insights), News and Media (Statistical Analysis of Landing Page Effectiveness), Retail (Predictive Pricing Models), Hospitality (Hotel Booking Cancellations), Immigration (Visa Status Determination), Banking and Finance (Stock Trends Analysis), Agriculture (Plant Seedling Classification using CNN), and more. The program provides practical experience with 22+ tools including Python, Pandas, NumPy, Scikit-Learn, Hugging Face, LangChain, ChatGPT, TensorFlow, and Tableau.

Python & GenAI: Pre-work

Course 1: Data-Driven Insights Using Python

Course 2: Generative Al for Text Analysis

Course 3: Decision Making with Business Statistics

Course 4: Predictive Analysis with Linear Regression

Course 5: Classification Techniques for Predictive Analysis

Course 6: Robust Data Modeling with Ensembling and Tuning Techniques

Course 7: Pattern Discovery with Unsupervised Learning

Course 8: Data Querying and Analytics with SQL

Course 9: Data Visualization Using Tableau

Course 10: Artificial Intelligence SELF-PACED MODULES

Course 11: Business Analytics SELF-PACED MODULES

ADDITIONAL MODULES & MASTERCLASS: LEARN AT YOUR OWN PACE

CAPSTONE PROJECT

Programme Length

The PG Program in Data Science is a 7-month online program with weekend sessions. It provides flexibility for working professionals while ensuring comprehensive learning. The program includes 500+ hours of content that can be accessed anytime, anywhere.

Whom you will learn from?

Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.

Tuition Fee

The program fee ₹195,000 + GST. Various payment options are available including Easy EMI ₹4,604/month only plans with trusted payment partners. Financial assistance options are also available subject to partner approval based on applicable regions & eligibility.

Fee Structure

Payment options

Financing options

Financial Aid

Need help understanding fees, EMI options, or scholarships?

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About the University

Founded in 1977, WeSchool is a premier business school operating under S.P. Mandali Trust, with campuses in Mumbai and Bangalore. The institute is known for its innovative approach to management education, with a strong focus on design thinking and industry integration. The Bangalore campus, established in 2008, is located in Electronic City, providing strategic proximity to India's technology hub.

University

101-125

NIRF Ranking

300+

Total Students

176-200

QS International Trade Ranking

Affiliation & Recognition

AICTE
NBA
UGC

101-125

NIRF Ranking

300+

Total Students

176-200

QS International Trade Ranking

Affiliation & Recognition

AICTE
NBA
UGC

Career services

The Career Management Centre (CMC) at WeSchool provides comprehensive support through placement initiatives and industry connections. The center facilitates internships, live projects, and research work opportunities. Industry professionals regularly engage with students through advisory boards and academic programs, ensuring practical exposure and career advancement opportunities.

16 LPA

Highest Package PGDM

10.36 LPA

Average Package PGDM

11.43 LPA

E-Business Average Package

11.47 LPA

Business Design Average

Top Recruiters

Degree Course Image

1,95,000

Course Start Date: Starting Soon

Application Deadline: 27th Dec, 2025

Duration: 12 Months

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.