2 Years
Post Graduate
Management
Distance
A Distance MBA in Business Analytics program offers an extensive syllabus designed to equip students with the skills and knowledge required to excel in the rapidly evolving field of business analytics. The syllabus typically covers a wide range of subjects, including Business Statistics, Data Analytics Tools and Techniques, Predictive Modeling, Machine Learning, Data Visualization, and Big Data Analytics. Students also delve into business strategy and management to understand how analytics can drive informed decision-making.
This program allows students the flexibility to study remotely, making it an attractive option for working professionals seeking to enhance their analytical skills and advance their careers. Graduates of this program are well-prepared for roles such as data analyst, business intelligence manager, and data scientist across various industries, including finance, healthcare, marketing, and more.
| Subject | Description |
|---|---|
| Business Analytics Foundations | Introduction to business analytics, statistical concepts, and data visualization. |
| Management Principles | Fundamentals of management theory and practice. |
| Quantitative Methods | Mathematical and statistical techniques for data analysis. |
| Business Communication | Effective communication skills in a business context. |
| Subject | Description |
|---|---|
| Data Mining | Techniques for discovering patterns and insights from large datasets. |
| Predictive Analytics | Methods for predicting future trends and outcomes using data. |
| Database Management | Fundamentals of database systems and SQL. |
| Financial Management | Principles of finance and financial decision-making. |
| Subject | Description |
|---|---|
| Machine Learning | Algorithms and models for making predictions and decisions automatically. |
| Business Intelligence | Tools and techniques for gathering, storing, and analyzing business data. |
| Operations Management | Management of processes to produce and deliver products and services. |
| Marketing Analytics | Analyzing marketing data to improve decision-making and campaign effectiveness. |
| Subject | Description |
|---|---|
| Strategic Management | Formulating and implementing organizational strategies. |
| Capstone Project | Applying analytics skills to solve a real-world business problem. |
| Elective Courses | Specialized topics such as supply chain analytics, HR analytics, etc. |
| Internship | Practical work experience in a relevant business environment. |
| Section | Topics |
|---|---|
| Quantitative | Arithmetic, Algebra, Geometry, Statistics and Probability |
| Logical Reasoning | Analytical Reasoning, Deductive Reasoning, Data Interpretation |
| English | Reading Comprehension, Vocabulary, Grammar |
| General Awareness | Current Affairs, Business and Economics, General Knowledge |
| Subject | Books |
|---|---|
| Business Statistics | "Business Statistics" by Ken Black |
| Managerial Economics | "Managerial Economics: Principles and Worldwide Applications" by Dominick Salvatore |
| Financial Accounting | "Financial Accounting" by Robert Libby and Patricia Libby |
| Data Analytics | "Data Science for Business" by Foster Provost and Tom Fawcett |
| Business Communication | "Business Communication: Polishing Your Professional Presence" by Shwom and Snyder |
| Operations Management | "Operations Management" by William J. Stevenson |
| Marketing Management | "Marketing Management" by Philip Kotler and Kevin Lane Keller |
| Business Research Methods | "Business Research Methods" by Donald R. Cooper and Pamela S. Schindler |
| Predictive Analytics | "Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die" by Eric Siegel |
| Strategic Management | "Strategic Management: Concepts and Cases" by Fred R. David and Forest R. David |
| Machine Learning | "Machine Learning: A Probabilistic Perspective" by Kevin P. Murphy |
| Big Data Analytics | "Big Data Analytics: Turning Big Data into Big Money" by Frank J. Ohlhorst |
| Financial Management | "Principles of Corporate Finance" by Richard A. Brealey, Stewart C. Myers, and Franklin Allen |
| Supply Chain Analytics | "Supply Chain Management: Strategy, Planning, and Operation" by Sunil Chopra and Peter Meindl |
| Business Intelligence | "Business Intelligence Guidebook" by Rick Sherman and Laura M. Knight |
| Decision Support Systems | "Decision Support and Business Intelligence Systems" by Efraim Turban et al. |
| Risk Management | "Principles of Risk Management and Insurance" by George E. Rejda and Michael McNamara |
| Digital Marketing Analytics | "Digital Marketing Analytics: Making Sense of Consumer Data in a Digital World" by Chuck Hemann and Ken Burbary |
| Ethical and Legal Aspects of Analytics | "Ethics of Big Data: Balancing Risk and Innovation" by Kord Davis and Doug Patterson |
(Q.) What are the key subjects covered in the Distance MBA in Business Analytics syllabus?
Ans. The syllabus typically includes subjects like Business Statistics, Managerial Economics, Financial Accounting, Data Analytics, Operations Management, Marketing Management, Machine Learning, Big Data Analytics, and more.
(Q.) How is the syllabus structured across the different semesters of the program?
Ans. The syllabus is usually divided into semesters, with each semester focusing on specific core subjects and sometimes electives. For example, the first semester might cover foundational topics like Business Statistics and Managerial Economics, while later semesters delve into more specialized areas like Machine Learning and Business Intelligence.
(Q.) Are there any practical components or projects included in the syllabus?
Ans. Yes, many programs include a capstone project or other practical components where students apply their learning to real-world business problems. This helps in gaining hands-on experience and practical skills.
(Q.) How does the syllabus address current trends and technologies in the field of business analytics?
Ans. The syllabus is regularly updated to reflect the latest trends and technologies in business analytics. This may include modules on topics like Predictive Analytics, Digital Marketing Analytics, and Ethical and Legal Aspects of Analytics.
(Q.) What are some recommended resources for studying the subjects covered in the syllabus?
Ans. Recommended resources may include textbooks, academic journals, online courses, and case studies. Some universities also provide access to specialized software and tools used in the field of business analytics.
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