Integrated Program In Business Analytics (IPBA) Syllabus 2025: Subjects, Specializations, and Semester-wise Syllabus

  • course years 0 Years
  • type of course Post Graduate
  • course stream Management
  • course type Full Time
Written By universitykart team | Last Updated date Oct, 09, 2024

Focuses on data analytics, statistics, machine learning, and business intelligence to equip students with skills for data-driven decision-making.

Syllabus of Integrated Program in Business Analytics

The syllabus for the Integrated Program in Business Analytics (IPBA) is designed to equip students with advanced skills in data analysis and business intelligence. Students typically cover core topics in data science, statistics, and data visualization. The curriculum includes courses on machine learning, predictive analytics, and big data analytics. Students also delve into topics related to business strategy, data-driven decision-making, and data ethics. Practical experiences such as data analytics projects, real-world data analysis, and data visualization projects may be included to help students apply their skills in real-world scenarios. Graduates are well-prepared for careers in data analytics, business intelligence, and data-driven decision support roles.

Integrated Program In Business Analytics (IPBA)Course Syllabus & Subjects

Sno. Subjects
1 Introduction to Business Analytics
2 Statistics and Probability for Analytics
3 Data Analysis and Visualization
4 Programming for Data Science (Python/R)
5 Business Communication
6 Managerial Economics
7 Machine Learning for Business Analytics
8 Big Data Technologies and Tools
9 Database Management Systems
10 Marketing Analytics
11 Financial Analytics
12 Predictive Analytics
13 Operations Analytics
14 Supply Chain Analytics
15 Decision Models and Optimization
Project Work

Integrated Program In Business Analytics (IPBA)Course Projects

Let's look at some of the most creative Integrated Program In Business Analytics (IPBA) project ideas that are suitable for both experts and newcomers:

(i). Sales Prediction Risk Evaluation.

(ii). Detecting fraud.

(iii). Product Suggestions.

(iv). Inventory Control.

(v). Supply Chain Management.

(vi). Optimizing Marketing Campaigns.

(vii). Analysis of employee performance.

(viii). Monetary Modeling.

Reference Books for an Integrated Program In Business Analytics (IPBA) Course Projects

Integrated Program In Business Analytics (IPBA) books provide students with both a thorough general review of the subject matter and a close examination of their specific area of expertise. The following are some of the books for reference:

Name of Author Name of Book
Abhijit Dasgupta Data Science for Business with Python
Sudipto Banerjee Business Analytics with R
Prof. G.S. Raghavan Introduction to Business Analytics
Prof. V.S.R. Murthy Business Analytics: Text and Cases
Prof. S.P. Singh Data Analytics: Concepts, Techniques, and Applications
Alok R. Gupta Business Analytics: Concepts and Applications

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