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.
Instructors:
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Course Start Date:
Starting Soon
Application Deadline:
10th Nov, 2025
Duration:
12 Months
₹ 1,95,000
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
Who is the programme for?
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 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.
Instructors
Faculty Director, CATT & Distinguished Professor
Kumar Muthuraman is a Professor of Information, Risk, and Operations Management at The University of Texas at Austin’s McCombs School of Business, where he also serves as a Distinguished Teaching Professor and faculty director for the Center for Analytics and Transformative Technologies. His research focuses on decision-making under uncertainty with applications in finance, operations, and healthcare, with publications in top journals. A recipient of numerous teaching and research awards, he has also served as an editor for prestigious journals. Beyond academia, he is a founder and board member of multiple companies and has consulted for financial firms on pricing and risk management. He holds M.S. and Ph.D. degrees from Stanford University and a B.Tech. from CECRI, India.
Senior Faculty & Director Academics, Great Learning
Dr. Abhinanda Sarkar holds B.Stat. and M.Stat. degrees from ISI and a Ph.D. in Statistics from Stanford University. With experience as a lecturer at MIT and a research staff member at IBM, he spent a decade at GE and has contributed to committees for UGC, the World Bank’s infoDev, and NASSCOM. An award-winning academician, he has taught at Stanford, ISI Delhi, IIM Bangalore, and IISc. Currently, he is a Full-Time Faculty at Great Lakes, Associate Dean at MYRA School of Business, and co-founder of OmiX Labs, a startup focused on low-cost medical diagnostics.
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
Learning Experience
The PG Program in Data Science offers a unique learning journey designed to ensure career growth and transformation. Students learn critical concepts from video lectures by faculty and Data Science experts. They engage with mentors during weekend mentorship sessions to clarify doubts and gain practical skills. The program emphasizes hands-on learning with 11+ projects across 18+ domains, allowing students to apply concepts and tools learned in each module. Throughout the program, students receive personalized assistance from dedicated program managers whenever needed. The learning experience is enhanced by live mentored sessions, industry professional guidance, and comprehensive career support.
University Experience
The program offers dual PG Certificates from UT Austin (McCombs School of Business) and Great Lakes Executive Learning. The McCombs School of Business is ranked #7 Public University in the U.S. (U.S. News & World Report, 2024), #4 in MS - Business Analytics (QS World University rankings, 2023), and #6 in Executive Education - Custom Programs (Financial Times, 2022). Great Lakes Executive Learning is ranked #4 Top Standalone Institution by Outlook India and #9 in One Year Programs by Business World. The university environment emphasizes excellence in education and practical industry connections.
Testimonials
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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.
101-125
NIRF Ranking
300+
Total Students
176-200
QS International Trade Ranking
Affiliation & Recognition
AICTE
NBA
UGC
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Instructors
Faculty Director, CATT & Distinguished Professor
Kumar Muthuraman is a Professor of Information, Risk, and Operations Management at The University of Texas at Austin’s McCombs School of Business, where he also serves as a Distinguished Teaching Professor and faculty director for the Center for Analytics and Transformative Technologies. His research focuses on decision-making under uncertainty with applications in finance, operations, and healthcare, with publications in top journals. A recipient of numerous teaching and research awards, he has also served as an editor for prestigious journals. Beyond academia, he is a founder and board member of multiple companies and has consulted for financial firms on pricing and risk management. He holds M.S. and Ph.D. degrees from Stanford University and a B.Tech. from CECRI, India.
Senior Faculty & Director Academics, Great Learning
Dr. Abhinanda Sarkar holds B.Stat. and M.Stat. degrees from ISI and a Ph.D. in Statistics from Stanford University. With experience as a lecturer at MIT and a research staff member at IBM, he spent a decade at GE and has contributed to committees for UGC, the World Bank’s infoDev, and NASSCOM. An award-winning academician, he has taught at Stanford, ISI Delhi, IIM Bangalore, and IISc. Currently, he is a Full-Time Faculty at Great Lakes, Associate Dean at MYRA School of Business, and co-founder of OmiX Labs, a startup focused on low-cost medical diagnostics.
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
Top Recruiters
Course Start Date:
Starting Soon
Application Deadline:
10th Nov, 2025
Duration:
12 Months
₹ 1,95,000
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.