Executive Program in Business Analytics & Big Data
The Executive Development Programme in Business Analytics and Big Data by IIM Kashipur helps participants apply business analytics, statistical and machine learning applications, and big data technologies to managerial decision making. The program covers predictive analytics, sentiment analytics, market segmentation, and machine learning best practices using Python and open-source tools. Participants also learn about setting up big data stacks in single-node machines and cloud platforms like Amazon AWS and Google Cloud, and working with technologies such as Power BI, Hive, and Spark.
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Course Start Date:
Starting Soon
Application Deadline:
To be announced
Duration:
6 Months
₹ 80,000
Overview
The Executive Development Programme in Business Analytics and Big Data from IIM Kashipur is designed to equip professionals with the skills needed to leverage data for strategic business decisions. Over a six-month period, participants learn to apply concepts of business analytics, statistical and machine learning applications, and big data technologies to various aspects of managerial decision making. The program emphasizes the use of analytical technologies for data-driven decisions, with hands-on training in Python and open-source tools for applications such as predictive analytics, sentiment analysis, and market segmentation. Participants also gain insights into machine learning best practices for business analytics and an introduction to big data technologies. The curriculum follows a blended learning approach with weekend online classes and a campus visit component, making it accessible for working professionals. The program culminates with a capstone project that allows participants to apply their learning to real-world business problems, preparing them for careers in business analytics and consulting.
Why Leadership & Management?
The Executive Development Programme in Business Analytics and Big Data from IIM Kashipur stands out as a comprehensive solution for professionals seeking to harness the power of data in business contexts. What makes this program exceptional is its perfect balance between theoretical knowledge and practical application, with hands-on experience using Python and open-source tools for real-world business challenges. The certification carries significant weight in the industry, coming from IIM Kashipur, a prestigious institution known for academic excellence and industry relevance. The program's blended learning approach combines the convenience of weekend online classes with valuable campus exposure, making it ideal for working professionals looking to advance their careers without interruption. The curriculum has been thoughtfully designed to cover the entire spectrum of analytics - from descriptive to prescriptive - while also incorporating cutting-edge big data technologies and cloud computing platforms like AWS and Google Cloud. With its focus on both technical skills and business applications, the program prepares participants not just to analyze data but to translate those insights into strategic business decisions. The inclusion of a capstone project ensures that graduates can demonstrate their ability to apply these sophisticated tools to solve complex business problems, giving them a competitive edge in the rapidly growing field of business analytics.
What does this course have to offer?
Key Highlights
CERTIFICATION FROM IIM KASHIPUR
CASE-BASED SESSION
INSIGHTS INTO BUSINESS ANALYTICS AND BIG DATA
INDIA'S TOP FACULTIES
CAMPUS VISITS
HANDS ON EXPOSURE ON TOOLS
WEEKEND CLASS SCHEDULE
Who is this programme for?
Executives from any domain who are keen on learning Business Analytics and Big Data for professional development
Software developers/IT Professionals who are willing to move into Business Analytics and Big Data
Professors from Institutes who are willing to upgrade their skills in Business Analytics and Big Data
People with a Non-technical background can also apply for this course
Professionals who are looking to upgrade their career in Analytics
Entrepreneurs/Business Analyst/Project Managers
Senior Managers/Managers/Team Members who are involved in analytics
Minimum Eligibility
Graduation or equivalent degree from any recognized University or Institute
Minimum 2 years of Working Experience
On case-to-case basis less experience can be considered.
Who is the programme for?
The admission process for the Executive Development Programme in Business Analytics and Big Data at IIM Kashipur begins with verifying eligibility requirements. Candidates must possess a graduation or equivalent degree and have a minimum of 2 years of working experience. The program follows a blended learning format with courses taught through online platforms.
Selection process
How to apply?
Curriculum
The Executive Development Programme in Business Analytics and Big Data by IIM Kashipur features a comprehensive curriculum that systematically builds expertise in data analytics and big data technologies. The program begins with an introduction to business analytics, covering descriptive, inferential, predictive, and prescriptive analytics, as well as machine learning applications in business contexts. Participants then establish a strong foundation in Python programming, learning about installation, operators, expressions, decision statements, loop control statements, functions, packages, file handling, and object-oriented concepts. The curriculum progresses to descriptive and visual exploratory analytics, teaching descriptive statistics and visualization techniques, followed by the foundations of inferential analytics, which includes hypothesis testing. The program then delves into predictive modeling, covering regression techniques like simple and multiple linear regression, regularized regression, and model diagnostics. Classification methods are explored next, including logistic regression, discriminant analysis, decision trees, and support vector machines, along with validation methods and cost-benefit analysis. Advanced machine learning methods such as ensemble techniques, boosting, and bagging are also covered. The curriculum addresses segmentation through clustering methods like k-means, hierarchical, and dbscan clustering, along with clustering diagnostics. Unstructured data analysis is introduced through text analytics, covering NLTK and Sklearn libraries, sentiment analysis, topic modeling, and other text analytics applications. The program also covers big data technologies, including characteristics, distributed computing and storage, and the big data ecosystem. Participants learn about core technologies for big data such as Hadoop, MapReduce, Hive, Impala, and Pig, with practical querying exercises. Cloud analytics is addressed through AWS setup and analytics. The program concludes with recommender systems, covering collaborative filtering and content-based recommendations, as well as market basket analysis through association rule mining. Students demonstrate their cumulative learning through capstone project presentations.
There are 16 semesters in this course
The Executive Development Programme in Business Analytics and Big Data curriculum is methodically organized to build progressive expertise in data analysis and big data technologies. The program begins with foundational concepts in the "Introduction to Business Analytics" module, establishing the various types of analytics and their business applications, while introducing machine learning as a key tool for data-driven decision making. The "Introduction to Python" module provides the technical foundation necessary for implementing analytics solutions, covering everything from basic syntax to advanced object-oriented programming concepts. Moving from theory to application, the curriculum advances to "Descriptive and Visual Exploratory Analytics" and "Foundations of Inferential Analytics," equipping participants with the skills to summarize, visualize, and draw preliminary conclusions from data. The program then shifts to predictive modeling through the "Business Context: Prediction" and "Machine Learning Context: Regression" modules, introducing various regression techniques and diagnostic tools for forecasting business outcomes. The classification section follows with detailed coverage of techniques like logistic regression, decision trees, and support vector machines, along with practical methods for evaluating model performance through confusion matrices and cost-benefit analysis. Advanced machine learning methods expand participants' analytical toolkit with ensemble approaches like boosting and bagging. The "Business Context: Segmentation" and "Machine Learning Context: Clustering" modules teach participants to identify natural groupings in data using various clustering algorithms, essential for market segmentation and customer profiling. The curriculum then addresses unstructured data through text analytics modules, covering sentiment analysis and topic modeling, increasingly important skills in the age of social media and digital communication. The big data portion of the program introduces participants to distributed computing concepts, the Hadoop ecosystem, and practical implementation of big data solutions on both local machines and cloud platforms like AWS. Finally, the program covers specialized applications including recommender systems and market basket analysis, before culminating in capstone projects that allow participants to demonstrate their comprehensive learning. This thoughtfully sequenced curriculum ensures participants develop both theoretical understanding and practical implementation skills across the complete spectrum of business analytics and big data technologies.
Introduction to Business Analytics
Introduction to Python
Descriptive and Visual Exploratory Analytics
Foundations of Inferential Analytics
Business Context: Prediction Machine Learning Context: Regression
Business Context: Classification Machine Learning Context: Classification
Business Context: Advanced Machine Learning Methods Machine Learning Context: Advanced Machine Learning Methods
Business Context: Segmentation Machine Learning Context: Clustering
Business Context: Unstructured Data Analysis Machine Learning Context: Text Analytics
Business Context: Understanding User Behavior Machine Learning Context: Text Analytics
Business Context: Handling Big Data Analytics Context: Technologies for Big Data
Business Context: Data Management Analytics Context: Core Technologies for Big Data
Business Context: Big Data and Cloud Analytics Context: AWS and Analytics
Business Context: Personalization & Decision-making Machine Learning Context: Recommender System
Business Context: Market Basket Analysis Machine Learning Context: Association Rule Mining
Capstone Project Presentations
Programme Length
The Executive Development Programme in Business Analytics and Big Data from IIM Kashipur follows a blended learning approach designed to accommodate working professionals. The program spans six months, commencing on December 24, 2023, with weekend classes allowing participants to balance their professional commitments with learning. The course is delivered primarily through online platforms, with instructor's notes, data, and scripts shared via Google Classroom for easy access. The program includes a campus visit component, although details about its duration and scheduling are not explicitly mentioned. Continuous evaluation occurs throughout the program via assignments, ensuring ongoing engagement and application of concepts. The learning journey culminates in a final examination with multiple-choice questions to assess overall comprehension. Participants who successfully complete all requirements receive a course completion certificate from IIM Kashipur. The flexible structure enables professionals from various backgrounds to enhance their data analytics skills without disrupting their current work commitments.
Tuition Fee
The program fee for the Executive Development Programme in Business Analytics and Big Data from IIM Kashipur is Rs. 80,000 plus GST for Indian residents and USD 1,600 for international students. Indian participants can pay in three installments: Rs. 25,000 plus GST at registration, Rs. 25,000 plus GST as the second installment, and Rs. 30,000 plus GST as the final installment. Campus visit expenses are not included in the fee. Loan options with EMI plans of 6, 9, or 12 months are available for Indian participants, with a processing fee of 1% plus GST charged by the loan partner; for the 12-month EMI plan, the monthly payment is approximately Rs. 10,212. Exact EMI dates may vary, and detailed instructions are provided in the welcome email. Loan facilities are not available for international students, and processing charges may apply as per bank rules.
Fee Structure
Payment options
Financing options
Learning Experience
The learning experience in the Executive Development Programme in Business Analytics and Big Data combines theoretical knowledge with practical application through a blended learning approach. The program is delivered through online platforms, complemented by a campus visit component. Instructor's notes, data, and scripts are shared via Google Classroom, creating a comprehensive digital learning environment. The pedagogical approach emphasizes hands-on experience with various analytical tools, particularly Python and open-source technologies for business applications. The curriculum includes case-based sessions that allow participants to apply analytical concepts to real-world business scenarios. Continuous evaluation occurs through regular assignments, ensuring ongoing engagement and application of learned concepts. The program culminates in a final examination and a capstone project presentation, where participants can demonstrate their comprehensive understanding and application of business analytics and big data technologies. The weekend class schedule accommodates working professionals, allowing them to enhance their skills without interrupting their careers. Throughout the program, participants gain practical experience with tools such as Python for data analysis, AWS for cloud computing, and various big data technologies like Hadoop and Hive, preparing them for data-driven decision-making in their professional roles.
University Experience
The Indian Institute of Management Kashipur (IIM Kashipur) is a premier management institute established with the objective of providing quality management education while sensitizing students towards the needs of society. Founded in July 2011, the institute operates with a mission to drive academic excellence using innovative teaching methods, promoting research and practice of sustainable leadership. IIM Kashipur aspires to become one of the top business schools in India developing leaders who can perform globally over the next decade. The institute is guided by core values of mutual respect, lifelong learning, the pursuit of excellence, transparency, and integrity. The faculty at IIM Kashipur represents an optimal mix of academic and industrial experiences, bringing diverse perspectives to the classroom. Strategically located in one of the most densely industrialized regions in the country with over 180 industries having plants in and around the area, the institute benefits from frequent industry interactions and live projects, enhancing the "Learning by Doing" approach. The 200-acre campus spreads across the serene town of Kashipur, nestled in the lap of the Himalayas, creating a vibrant environment for learning and growth. IIM Kashipur offers various programs including full-time MBA, MBA in Analytics, weekend Executive MBA for working professionals, and doctoral programs like PhD and Executive Fellow Programme, catering to diverse educational needs.
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About the University
Established in 2011, IIM Kashipur is a premier management institution under the Ministry of Education, Government of India. The institute offers MBA programs with specializations across various domains and has consistently shown growth in its placement statistics and industry partnerships.
#23
NIRF Management Ranking 2024
319
Total Students
Affiliation & Recognition
Institute of National Importance Status
AICTE
Ministry of education
Career services
IIM Kashipur's placement cell provides comprehensive career development support through structured recruitment processes for both summer internships and final placements. The institute maintains strong relationships with industry partners across various sectors including BFSI, Consulting, IT, Manufacturing, and FMCG. The placement process includes both domestic and international opportunities, with dedicated support for career counseling and industry engagement. The institute has shown remarkable success in placing students across diverse roles and sectors, with significant year-on-year growth in both average and highest packages.
37LPA
Highest Domestic Package
18.11LPA
Average Package
28.5LPA
Top 10% Average Salary
Top Recruiters
Course Start Date:
Starting Soon
Application Deadline:
To be announced
Duration:
6 Months
₹ 80,000
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.