MBA (Business Forecasting) Syllabus 2026: Subjects, Specializations, and Semester-wise Syllabus

Given below is the subjects-wise breakdown of course are:

Syllabus of MBA in Business Forecasting

The syllabus for the MBA in Business Forecasting program is designed to provide students with advanced knowledge and skills in the field of forecasting and predictive analytics. Students typically cover core topics related to time series analysis, quantitative forecasting methods, and data analytics. The curriculum often includes courses on statistical modeling, econometrics, and machine learning for forecasting. Students also delve into areas such as demand forecasting, financial forecasting, and risk assessment. Practical experiences, such as forecasting projects, data analysis exercises, and case studies, may be included to help students apply their forecasting skills in real-world business scenarios. Graduates are well-prepared for roles in business analytics, financial planning, and demand forecasting within various industries.

Semester	Subject
Semester I	Time Series
	Business Statistics
	Introduction to Business Forecasting
	Principles of Business Forecasting
Semester II	Accounting for Managerial Decisions
	Management Process & Organizational Behavior
	Macro-Economic Management
Semester III	Business Strategy
	Business Communication Skills
	Industrial Economics
	Computer Applications in Business
Semester IV	Financial Management
	Forecasting Principles
	International Economics
	Business Environment Analysis

Projects for MBA in Business Forecasting course

Listed below are some project ideas for your MBA in Business Forecasting course:

(i). Operational Efficiency Improvement
(ii). Digital Marketing Campaign Forecasting
(iii). Energy Consumption Forecasting
(iv). Sales Forecasting for a New Product
(v). Demand Forecasting for Supply Chain Optimization
(vi). Real Estate Market Analysis
(vii). Scenario Planning for Strategic Decisions

Reference books for MBA in Business Forecasting

Here are some highly recommended books:

Name of Author	Name of Book
DN Gujarati	Basic Econometrics
Spyros Makridakis, Steven C. Wheelwright, and Rob J. Hyndman	Forecasting: Methods and Applications
Enno Siemsen	Demand Forecasting for Managers
Michael Gilliland, Len Tashman & Udo Sglavo	Business Forecasting: Practical Problems and Solutions
Philip E. Tetlock & Dan Gardner	Superforecasting: The Art and Science of Prediction
J. Holton Wilson, Barry Keating, and John Galt	Applied Business Forecasting and Planning
George E.P. Box, Gwilym M. Jenkins, and Gregory C. Reinsel	Time Series Analysis: Forecasting and Control