The business analytics course syllabus is aimed to impart knowledge about business analytics, business management, and key analytical skills to make business decisions. Students are equipped with business, economics, and data management knowledge through subjects like organizational behaviour, data management, data visualization, financial management, etc. Business Analytics by definition, is data analysis to find out patterns or insights. Business Analytics combines three domains – Business, Data Analytics & Programming.
The combination of different business analytics subjects, projects, and electives depends on the type of business analytics course. BBA Business Analytics and MBA Business Analytics are the two most popular Business Analytics Courses in India. The important subjects included in a business analytics course are business management, finance, accounting, human resource, etc.
BBA Business Analytics Syllabus is divided into 6 semesters. It focuses on key business and economic concepts through the study of subjects such as organizational behavior, financial management, and strategy and includes summer projects & internships. MBA in Business Analytics Syllabus focuses on business analytics subjects in more detail through the study of subjects like data visualization, business management, risk management, marketing analytics, etc.
Business Analytics Certificate Course Syllabus
The syllabus of the business analytics certificate course is designed to give a quick overview of the specific business analytics subject it is about. Unlike BBA or MBA business analytics syllabus, the business analytics syllabus here just focuses on one particular domain.
Check out the list of common business analytics subjects that are discussed in any business analytics certificate course. Also Check: Top Business Analytics Certificate Courses
| Introduction to analytics | Data mining using a decision tree |
| Descriptive statistics | Classification algorithm- discriminant Analysis |
| Inferential statistics | Classification algorithm-Decision trees |
| Estimation of hypothesis testing | Neural networks |
| Playing with data | Linear and nonlinear regression |
| Regression | Model Comparison and further improvement |
| Anova | Python for data science |
| Factor analysis and component analysis | Numpy libraries and array |
| Pandas libraries and data frame |
BBA Business Analytics Syllabus
BBA Business Analytics syllabus aims to develop a thorough understanding of both national and international business and economics. The candidates are offered the knowledge of overall business analytics through the subjects like organizational behavior, data management, business intelligence, financial management, etc.
The semester-wise BBA business analytics syllabus followed by the top business and management universities is mentioned below.
| Semester 1 | Semester 2 |
|---|---|
| Business Communication | Environmental Studies and Disaster Management |
| Financial Accounting | Cost and Management Accounting |
| Economics for Managers | Marketing Management |
| Electives | Electives |
| -- | Summer Project |
| Semester 3 | Semester 4 |
| Organizational Behaviour | Human Resource Management |
| Operations Management | Financial Management |
| Electives | Electives |
| -- | Summer Internship |
| Semester 5 | Semester 6 |
| Strategy | International Business Management |
| Electives | Electives |
| Capstone Project | Integrated Project |
MBA in Business Analytics Syllabus
MBA in Business Analytics Syllabus aims to develop a thorough understanding of business analytics. The candidates are equipped with knowledge on how to make key business decisions and key analytical skills through the subjects like organizational behavior, business management, business modeling, data management, data visualization, etc.
The semester-wise MBA business analytics syllabus followed by the top management universities is mentioned below.
| Semester I | Semester II |
|---|---|
| Quantitative Methods | Financial Management |
| Managerial Economics | Operations Management |
| Management Information Systems | Human Resource Management |
| Financial Accounting | Financial Analytics |
| Marketing Management | Optimization Analytics |
| Organizational Behaviour | Stochastic Modeling |
| Statistical Analysis | Business Intelligence |
| Data Modeling | Research Methods |
| Computational Methods | Managerial Communication |
| Semester III | Semester IV |
| Predictive Analytics | Strategic Management |
| Risk Management | Operations and Supply Chain Analytics |
| Marketing Analysis | HR Analytics |
| Data Mining | Big Data Analytics |
| Simulation Modeling | Ethical and Legal Aspects of Analytics |
| Analytics Systems Analysis & Design | Project Management |
| Industry Internship Programme | Professional Development |
| Analytics Capstone Project | Elective Paper |
Elective Subjects in MBA in Business Analytics
The electives in MBA in Business Analytics are mentioned below.
| Social Entrepreneurship | Infrastructure Development |
| Global Securities Markets | Corporate Valuation |
| Brand Management | Supply Chain Management |
| Green Business Management | - |
PGDM Business Analytics Syllabus
PGDM business analytics syllabus aims to impart knowledge on Business Statistics, Management Functions, Business Law, Corporate Governance, Data Analytics, etc. Throughout the duration of the course, candidates are required to do several industry visits, market surveys, and other relevant projects that are specifically related to the course. The semester-wise PGDM business analytics syllabus followed by the top management universities is mentioned below.
| Module 1 | Module 2 |
|---|---|
| Management Functions & OB | Operations Management |
| Business Statistics | Human Resource Management |
| Managerial Economics | Marketing Management |
| Introduction to IT Systems | Research Methodology |
| Business Communication | Financial Management |
| Financial Accounting | Economics and Social Environment |
| Module 3 | Module 4 |
| Introduction to Big Data | Business Law |
| Data Analytics Using R | International Business |
| Data Analytics Using SAS | Entrepreneurial Management |
| Advanced Analytics using R | Enterprise Systems |
| Applied Statistics | Management Accounting |
| Study Development | Corporate Governance |
| Case Business Simulation | Project Work |
Read More: PGDM in Business Analytics
Executive Programme in Business Analytics Syllabus
An Executive Programme in Business Analytics is a specialized training program designed for professionals seeking to develop their skills and knowledge in the field of business analytics. Several reputable providers offer Executive Programmes on Business Analytics in India, including the Indian Institute of Management (IIM) Bangalore, IIM Calcutta, Indian School of Business (ISB), Great Lakes Institute of Management, and SP Jain Institute of Management and Research.
Mentioned below are the subjects of Executive Programme in Business Analytics.
| Advanced Topics in Analytics: Big Data, Cloud Computing | Data Mining Applications in R |
| Business Analytics and Competitive Advantage | Data Visualisation and Descriptive Analytics |
| Financial Analytics | Machine Learning |
| Marketing Analytics | Mathematics for Business Analytics |
| Operational Analytics | Predictive Modelling |
| Statistics for Business Analytics | Time Series Models in Business |
PhD in Business Analytics
PhD program in business analytics focuses on research in areas that suggest supply chain management business analytics operations and project management. The duration of the course can be from 1 to 4 years. Research focuses include empirical analysis, analytical modeling, and methodology development.
Below mentioned is the syllabus of the Ph.D. in Business Analytics program.
| Year 1 | Year 2 |
|---|---|
| Current Topics in Operations | Microeconomics |
| Nonlinear Optimization | Multivariate Statistical Analysis |
| Supply Chain Analysis | Statistics and Data Analysis |
| Data Analytics | Readings in Business Analytics and Operations |
| Year 3 | Year 4 |
| Data Structures | Advanced Decision Technologies |
| Structural Equation Modeling | Applied Advanced Time Series |
| Hierarchical Linear Modeling | Full-Time Dissertation Study |
| Readings in Business Analytics and Operations | - |
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