Post-Graduate Program in Data Science & Business Analytics
The Post-Graduate Program in Data Science & Business Analytics (PGP-DSBA) is a 7-month comprehensive program offered in collaboration with the University of Texas at Austin. This program equips professionals with fundamental and advanced skills in Python, statistics, machine learning, and business analytics applications. Through industry-relevant projects and weekend mentorship sessions, participants learn to analyze complex data sets, develop predictive models, and derive actionable business insights. The curriculum includes modules on supervised and unsupervised learning, ensemble techniques, model tuning, generative AI, and SQL, providing a strong foundation for roles in data analysis and business intelligence. Graduates receive certification from the prestigious McCombs School of Business.
Instructors:
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Course Start Date:
Starting Soon
Application Deadline:
10th Nov, 2025
Duration:
12 Months
₹ 1,95,000
Overview
The Post-Graduate Program in Data Science & Business Analytics is a comprehensive 7-month online learning experience designed in collaboration with the McCombs School of Business at the University of Texas at Austin. The program combines theoretical knowledge with practical applications, allowing professionals to master data science concepts and analytical techniques while continuing their careers. With a curriculum covering Python foundations, business statistics, supervised and unsupervised learning, ensemble techniques, generative AI, and SQL, participants gain the skills to extract valuable insights from complex data sets and solve real-world business problems. The program includes weekend mentorship sessions, industry-relevant projects, and opportunities for networking with peers and industry experts. Upon successful completion, participants earn certification from the University of Texas at Austin, enhancing their credentials and career prospects in the fast-growing field of data science and analytics.
Why Technology & Analytics?
The Post-Graduate Program in Data Science & Business Analytics stands out for its industry-aligned curriculum developed by experts from the McCombs School of Business at the University of Texas at Austin. The program offers a perfect balance of theoretical foundations and practical applications, enabling participants to implement data science techniques in real-world scenarios. With a focus on weekend online learning, the program is designed specifically for working professionals seeking to upskill without disrupting their careers. The robust career support system includes resume building, LinkedIn profile enhancement, and interview preparation, helping participants transition into data-focused roles. The optional on-campus immersion provides a unique opportunity to experience in-person learning at a prestigious university and build valuable connections with peers and industry professionals.
What does this course have to offer?
Key Highlights
Global collaborations with peers to build professional networks
Weekend online mentorship sessions with industry experts
Comprehensive curriculum covering Python, Machine Learning, and Data Visualization
Industry-relevant projects across multiple domains
97% program satisfaction rate
Personalized academic and non-academic support
Qualified mentors from top organizations
Certificate from the University of Texas at Austin (McCombs School of Business)
Optional on-campus immersion in Decision Science and AI
Access to 3,300+ hiring companies
Who is this programme for?
Business professionals looking to transition to data-driven roles
Analysts seeking to enhance their technical skills in data science
Managers who want to leverage data for better decision-making
Professionals across industries interested in building a career in analytics
Individuals with limited or no programming experience but willing to learn
Graduates looking to complement their degrees with in-demand data skills
Minimum Eligibility
Bachelor's degree with a minimum of 50% aggregate marks or equivalent
Who is the programme for?
The academic approach emphasizes hands-on learning, practical application of digital tools, and real-world business problem solving. Certification is granted upon successful completion of all programme requirements, including attendance and evaluation criteria.
Selection process
How to apply?
Curriculum
The curriculum of the Post-Graduate Program in Data Science & Business Analytics is meticulously designed by faculty at the McCombs School of Business, University of Texas at Austin. It covers essential skills across four comprehensive units spanning 225+ hours of learning content. The program begins with foundations in Python programming, data manipulation, visualization, and business statistics. It progresses to advanced techniques including supervised and unsupervised learning methods, ensemble techniques, and model tuning. Participants also gain exposure to emerging technologies like Generative AI and practical skills in SQL. The curriculum includes domain-specific applications across marketing, finance, supply chain, and web analytics, providing versatile knowledge applicable across industries. An optional on-campus immersion offers hands-on experience with decision science and AI through dynamic discussions and collaborative projects at the University of Texas campus.
There are 14 semesters in this course
The program's curriculum is structured into four comprehensive units designed to build expertise in data science and business analytics progressively. Unit 1: Foundations covers Python programming, data manipulation with NumPy and Pandas, data visualization with Matplotlib and Seaborn, and business statistics including inferential statistics, hypothesis testing, and common statistical tests. Unit 2: Techniques delves into supervised learning (linear and logistic regression, decision trees), ensemble techniques (random forest, boosting, model tuning), unsupervised learning (clustering, dimensionality reduction), introduction to generative AI, and SQL fundamentals. Unit 3: Domain Exposure offers industry-specific applications across marketing, retail, finance, web analytics, and supply chain. The optional Unit 4 provides an on-campus immersion in Decision Science and AI with hands-on sessions, industry mentorship, and networking opportunities. Throughout the program, participants work on industry-relevant projects using real datasets from companies like Netflix, Uber, and Amazon, creating a robust portfolio that demonstrates their capabilities to potential employers.
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
12 months of online weekend learning with 225+ hours of content and mentorship
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
Financial Aid
Learning Experience
The learning experience in the Post-Graduate Program in Data Science & Business Analytics is designed to be comprehensive, flexible, and engaging for working professionals. The program combines self-paced video lectures with weekend online mentorship sessions led by industry experts from top organizations. This hybrid approach allows participants to grasp theoretical concepts at their own pace while receiving practical guidance and clarification during live sessions. The curriculum includes hands-on projects using real-world data sets from companies like Netflix, Uber, and Amazon, enabling participants to apply their learning to industry-relevant challenges. The program emphasizes collaborative learning through micro-classes where participants can interact with peers globally, expanding their professional network. Throughout the 7-month journey, participants receive personalized academic and non-academic support to stay motivated and overcome challenges. The learning platform provides access to comprehensive resources, tools, and programming environments necessary for completing assignments and projects, creating a seamless learning experience regardless of prior technical background.
University Experience
The University of Texas at Austin provides an enriching academic environment for participants in the Post-Graduate Program in Data Science & Business Analytics. While the program is primarily delivered online, it offers an optional 3-day on-campus immersion in Decision Science and AI for those seeking in-person experiences. This immersion opportunity allows participants to connect with like-minded AI professionals, engage in dynamic discussions, and participate in collaborative projects at the prestigious university campus. Participants benefit from the expertise of leading faculty members from the McCombs School of Business, including Dr. Kumar Muthuraman (Faculty Director, Center for Analytics and Transformative Technologies) and Dr. Daniel A. Mitchell (Clinical Assistant Professor, Department of Information, Risk & Operations Management). The university's global reputation and strong industry connections enhance the value of the certification received upon program completion. Additionally, participants gain access to a vast alumni network and can leverage the university's brand recognition when pursuing career opportunities in data science and analytics.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
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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.