Advanced Data Sciences & Machine Learning
for Business Analytics
A transformative 6-month online certification from the Department of Management Sciences, IIT Kanpur — designed to forge data-driven leaders who bridge management strategy with advanced analytics.
Program at a Glance
Duration & Format
6 Months Online (60 Hours)
Weekend live sessions (3 hrs/week)
Investment
Application Fee: ₹1,000/- + 18% GST*
Program Fee: ₹85,000/- + 18% GST* (Payable in two easy installments)
Flexibility
3-Month Exit Option
Earn 'Certificate of Participation'
Certification
IIT Kanpur — Department of Management Sciences (DoMS)
Program Coordinator: Prof. Abhinava Tripathi
From the Desk of the Program Coordinator
Hear directly from the Program Coordinator on the vision and value of this program.
The Numbers That Define Excellence
A data-driven overview of the program's structure, commitment, and value.
Curriculum
0
Core & Elective Modules
Comprehensive Curriculum
Expert Faculty
0
Expert Faculty
From DoMS & Economic Sciences
Weekly Engagement
0
Minutes per Week
Immersive Live Learning
Delivery Mode
0
% Online Delivery
Instructor-Led Live Sessions
Why This Program?
In the dynamic landscape of today's business world, the convergence of management, data analytics, and machine learning has become a game-changer. This transformation is driven by the need for leaders who can make data-driven decisions, drive innovation, and navigate the digital age with finesse.
Holistic Skillset
Bridge business strategy with data-driven decision-making. Master fundamental management alongside advanced AI models.
In-Demand Expertise
Employers actively seek professionals who bridge the management-analytics gap. Gain a unique advantage in the job market.
Strategic Innovation
Foster a culture of innovation. Identify emerging trends and implement disruptive technologies to keep your organization competitive.
Enhanced Problem-Solving
Tackle intricate business problems. Formulate hypotheses, test them rigorously, and derive highly actionable recommendations.
Hands-On Experience
Learning by doing is central. Engage in real-world projects and experiential case studies to deliver tangible workplace results.
Future-Proofed Career
Secure your career prospects in a data-centric world. Become the multifaceted leader organizations are desperately seeking.
Who Should Attend?
This program is designed for professionals aiming to operate at the critical intersection of technical execution and strategic business leadership.
Business Managers
Looking to master data science and analytics for strategic decision-making and competitive advantage.
Data Scientists
Seeking crucial exposure to the management and business domain to translate models into impact.
IT Professionals
Aspiring to pivot into high-value Data Science roles with an IIT Kanpur credential on your resume.
Aspiring Consultants
Interested in business data analytics and management consulting with quantitative rigor.
Curriculum Explorer
The program is structured into foundational main modules followed by specialized business application electives. Click to expand and explore.
Introduction to Business Statistics
Note: All modules listed above, whether categorized as Core or Elective, are compulsory components of this program. The designation 'Elective' refers strictly to the module's academic classification and does not imply optional status or selection at the participant's discretion. Successful completion of all nine (9) modules is required for the award of the Certificate of Completion.
Program Coordinator
Prof. Abhinava Tripathi
Assistant Professor, Department of Management Sciences (DOMS), IIT Kanpur
The architecture of this program is a direct reflection of Prof. Tripathi's unique interdisciplinary expertise. Bridging a highly technical background in Chemical Engineering (IIT Roorkee) with a PhD in Finance and Accounting (IIM Lucknow), his career embodies the exact synthesis of technology, analytics, and business strategy that this program teaches.
Corporate Experience
6+ years in Banking, Investment Banking, and Credit Rating. Deep expertise in deal structuring and real-world financial modeling.
Research & Pedagogy
Specializes in Market Microstructure, High-Frequency Econometrics, and applied Python/R for Financial Big Data Analytics.
Faculty Network
Leading experts from DoMS and Economic Sciences bringing real-world depth to the classroom.
Crucial Directives
Essential constraints — please read before applying
Minimum Academic Score
Bachelor's degree in any stream, with a minimum aggregate score of 55% from a recognized university or institution, is mandatory.
Experience-Based Relaxation
The minimum aggregate score requirement is reduced to 40% for candidates with 3+ years of relevant professional work experience.
3-Month Exit Option
Participants may exit after 3 months and receive a 'Certificate of Participation' from IIT Kanpur.
Selection Not Guaranteed
Meeting the minimum eligibility criteria does not guarantee selection. The institute reserves the right to shortlist candidates.
Final Credential
Upon successful completion of the full 6-month program, participants will be awarded a formal 'Certificate of Completion' by the Office of Outreach Activities, IIT Kanpur.
Sample Certificate of Completion
Eligibility & Admission
Use our interactive tool to check your eligibility instantly.
Eligibility Checker
Enter your details below to check your eligibility against the official admission criteria. For complete terms, please review the Crucial Directives section above.
Experience-Based Relaxation: The minimum aggregate score requirement drops from 55% to 40% for candidates with 3 or more years of relevant professional work experience. A degree score is still required in both cases.
* Candidate selection and shortlisting are conducted in accordance with program terms and standard evaluation criteria. The program office reserves the right to make final selection decisions.
Admission Prerequisites
- Basic computer literacy and high school-level mathematics are the only prerequisites for programming modules.
- 100% online delivery via instructor-led live sessions on weekends (3 hrs/week).
- Refer to the Crucial Directives section above for academic score, experience-based relaxation, and exit option details.
Fee Structure
Payable in two easy instalments:
Note: Both instalments must be paid in full no later than 30 September 2026.
Please Note: Both instalments must be paid in full by 30 September 2026. Classes commence on 3 October 2026. The ₹1,000 application fee is non-refundable. If you withdraw after classes begin, you must inform the office in writing within 7 days of attending your 2nd class, no later than 9 October 2026. In such cases, a flat ₹10,000 will be deducted from the program fee as an administrative charge, and the remaining amount will be refunded. No refund is possible beyond this window.
Begin Your Transformation
Join IIT Kanpur's inaugural cohort starting 3rd October 2026. Seating is limited to maintain high interaction quality.
Got Questions? We Have Answers.
Everything you need to know before you apply — from eligibility and fees to classes, certificates, and what happens after you enroll.
Bachelor's degree in any stream from a recognized university or institution, with a minimum 55% aggregate. Candidates with 3 or more years of relevant professional work experience need only 40% aggregate. No entrance exam. Shortlisting by OOA office.
Yes, designed for working professionals. No upper age limit, no restriction on graduation year.
It directly lowers the requirement. The standard minimum is 55% aggregate. If you have 3 or more years of relevant professional work experience, the requirement drops to 40% aggregate. You will still need to report your degree score either way.
No entrance exam, no interview. Based on eligibility criteria only.
The program fee is ₹85,000 + 18% GST, payable in two equal installments of ₹50,150 each. Both installments must be paid in full by 30 September 2026. The application fee of ₹1,000 + 18% GST is paid separately at the time of application and is non-refundable.
The application fee is non-refundable and non-transferable under all circumstances. Classes commence on 3 October 2026. If you wish to withdraw after classes begin, you must inform the office in writing within 7 days of attending your 2nd class — no later than 9 October 2026. In this case, a flat ₹10,000 will be deducted from your program fee as an administrative charge, and the remaining amount will be refunded to you. Requests made after this window will not be eligible for any refund.
2 live sessions per week × 1.5 hours each = 3 hours/week. Both sessions on weekends. Additional time for assignments and self-study expected.
Recorded access is typically provided. Regular attendance strongly recommended as it is instructor-led and interactive. Attendance policy details shared at enrollment.
No. 100% online. No campus visit required at any point.
Yes. Starts from absolute basics. One full core module dedicated to Programming with R and Python for zero-experience learners. Only needs basic computer familiarity and high school math.
5 Core Modules: Business Statistics, AI & ML, Programming with R & Python, Linear & Non-Linear Modelling, and Applied Machine Learning.
4 Elective Modules (all mandatory): Financial Analytics, Marketing Analytics, HR Analytics, and Supply Chain Analytics — all four must be completed. These are not optional choices; every elective module is compulsory for earning the Certificate of Completion.
Certificate of Completion issued by Office of Outreach Activities, IIT Kanpur. Direct IIT Kanpur credential, shareable on LinkedIn.
Completing first 3 months and choosing not to continue = Certificate of Participation from IIT Kanpur. Full 6-month completion = Certificate of Completion. These are two distinct credentials.
Yes. Issued by the Office of Outreach Activities (OOA), IIT Kanpur — the official IIT Kanpur body for outreach programs. Not a third-party or partner certificate.
Admissions open on 15 July 2026 and close on 15 September 2026. The batch commences on 3 October 2026.
Prospective candidates must submit official academic transcripts demonstrating the conferral of a Bachelor's degree with a minimum cumulative aggregate of 55%. Alternatively, candidates presenting a Bachelor's degree with a minimum aggregate of 40% may qualify by supplementing their academic records with formal employment verification. This verification must be provided by a current or former employer and must attest to a minimum of three years of relevant professional experience. Additionally, all applicants must furnish valid government-issued identity proof, specifically Aadhaar and PAN, as part of the admission documentation process.
Regrettably, no. The prescribed academic and professional benchmarks are mandatory and strictly enforced. Falling below the foundational academic requirement renders an applicant ineligible for admission, irrespective of the depth or duration of their professional tenure. Both criteria operate interdependently for applicants in this eligibility tier; neither a lower academic aggregate nor insufficient work experience can be offset by the other.