Business Analytics detailed syllabus for Artificial Intelligence & Machine Learning (AI&ML) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the AI&ML students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Artificial Intelligence & Machine Learning 5th Sem scheme and its subjects, do visit AI&ML 5th Sem 2021 regulation scheme. For Professional Elective-I scheme and its subjects refer to AI&ML Professional Elective-I syllabus scheme. The detailed syllabus of business analytics is as follows.
Course Objectives:
Download the iStudy App for all syllabus and other updates.

Unit I
INTRODUCTION TO BUSINESS ANALYTICS
Analytics and Data Science – Analytics Life Cycle – Types of Analytics – Business Problem Definition – Data Collection – Data Preparation – Hypothesis Generation – Modeling – Validation and Evaluation – Interpretation – Deployment and Iteration
Unit II
BUSINESS INTELLIGENCE
Data Warehouses and Data Mart – Knowledge Management -Types of Decisions – Decision Making Process – Decision Support Systems – Business Intelligence -OLAP – Analytic functions
Unit III
Download the iStudy App for all syllabus and other updates.

Unit IV
HR & SUPPLY CHAIN ANALYTICS
Human Resources – Planning and Recruitment – Training and Development – Supply chain network – Planning Demand, Inventory and Supply – Logistics – Analytics applications in HR & Supply Chain – Applying HR Analytics to make a prediction of the demand for hourly employees for a year.
Unit V
MARKETING & SALES ANALYTICS
Marketing Strategy, Marketing Mix, Customer Behaviour -selling Process – Sales Planning -Analytics applications in Marketing and Sales – predictive analytics for customers’ behaviour in marketing and sales.
List of Experiments:
Download the iStudy App for all syllabus and other updates.

Course Outcomes:
- Explain the real world business problems and model with analytical solutions.
- Identify the business processes for extracting Business Intelligence
- Apply predictive analytics for business fore-casting
- Apply analytics for supply chain and logistics management
- Use analytics for marketing and sales.
Text Books:
- R. Evans James, Business Analytics, 2nd Edition, Pearson, 2017
- R N Prasad, Seema Acharya, Fundamentals of Business Analytics, 2nd Edition, Wiley, 2016
- Philip Kotler and Kevin Keller, Marketing Management, 15th edition, PHI, 2016
- VSP RAO, Human Resource Management, 3rd Edition, Excel Books, 2010.
- Mahadevan B, “Operations Management -Theory and Practice”,3rd Edition, Pearson Education,2018.
For detailed syllabus of all the other subjects of Artificial Intelligence & Machine Learning 5th Sem, visit AI&ML 5th Sem subject syllabuses for 2021 regulation.
For all Artificial Intelligence & Machine Learning results, visit Anna University AI&ML all semester results direct link.