2 Years
Post Graduate
Management
Online
The syllabus for Online MBA in Business Analytics course encompasses a comprehensive array of subjects vital for navigating the dynamic realm of business intelligence and data-driven decision-making. It includes core subjects of Online MBA in Business Analytics such as data visualization, predictive modeling, business ethics, and strategic management, providing a robust foundation in analytics methodologies, statistical analysis, and ethical considerations in business practices. Online MBA in Business Analytics elective courses offer specialization options in big data analytics, supply chain analytics, text analytics, and customer relationship management, catering to diverse career aspirations within the analytics domain. Capstone projects synthesize theoretical learning with practical applications, culminating in complex analytics projects that demonstrate proficiency in handling real-world business challenges. Throughout the program, students engage with industry-relevant tools and software, fostering proficiency in Python, R, SQL, Tableau, and other data analytics platforms, ensuring they are well-equipped to thrive in roles as business analysts, data scientists, and analytics consultants in today's data-driven business landscape.
| Subject | Topics | Description |
|---|---|---|
| Business Communication | Communication skills, Business writing, Presentation | Develops effective communication skills for business settings, including writing, speaking, and interpersonal skills. |
| Managerial Economics | Demand and supply, Market structures, Pricing strategies | Examines economic principles and their application in managerial decision-making and market analysis. |
| Financial Accounting and Analysis | Financial statements, Analysis techniques, Reporting | Introduces financial accounting principles and methods for analyzing financial data and making informed decisions. |
| Marketing Management | Market analysis, Branding, Promotion strategies | Explores marketing concepts, strategies, and tactics for market positioning, customer engagement, and brand management. |
| Business Statistics and Analytics | Descriptive statistics, Probability, Hypothesis testing | Covers statistical methods and analytics techniques for data analysis, interpretation, and decision support. |
| Operations Management | Supply chain, Quality management, Process optimization | Focuses on managing operations, processes, and resources for efficiency and productivity improvement. |
| Data Visualization | Graphical representation, Dashboard design, Visualization tools | Teaches techniques for visualizing data to extract insights, trends, and patterns effectively. |
| Data Warehousing and Data Mining | Data integration, Extraction methods, Mining algorithms | Explores data warehousing concepts and data mining algorithms for extracting valuable information from large datasets. |
| Business Ethics and Corporate Social Responsibility | Ethical decision-making, CSR strategies, Sustainability | Examines ethical issues in business and strategies for responsible corporate behavior and sustainability initiatives. |
| Business Analytics Capstone Project | Project management, Data analysis, Presentation skills | Integrates concepts learned in the semester into a comprehensive business analytics project. |
| Subject | Topics | Description |
|---|---|---|
| Managerial Finance | Financial planning, Investment analysis, Risk management | Focuses on financial management principles, investment strategies, and risk assessment for business decision-making. |
| Human Resource Management | Recruitment, Training, Performance evaluation | Explores HR functions, strategies, and policies for managing human capital and organizational effectiveness. |
| Strategic Management | Strategic planning, Competitive analysis, Change management | Develops skills in strategic thinking, analysis, and implementation for organizational success and growth. |
| Business Research Methods | Research design, Data collection, Analysis techniques | Covers research methodologies and tools for conducting business research, gathering data, and drawing meaningful insights. |
| Predictive Modeling and Forecasting | Regression analysis, Time series forecasting, Model evaluation | Introduces predictive modeling techniques for forecasting future trends and making data-driven predictions. |
| Machine Learning and Artificial Intelligence | Algorithms, Neural networks, Deep learning | Explores machine learning and AI concepts, algorithms, and applications for business analytics and decision support. |
| Data-driven Decision Making | Decision models, Risk analysis, Decision support systems | Focuses on using data analytics to support decision-making processes and improve strategic outcomes. |
| Data Analytics for Marketing and Sales | Customer segmentation, Campaign analysis, Sales forecasting | Applies data analytics techniques to marketing and sales strategies for customer targeting, engagement, and revenue growth. |
| Operations Research | Optimization models, Simulation, Supply chain analysis | Examines operations research techniques for optimizing processes, resource allocation, and performance improvement. |
| Business Analytics Capstone Project II | Project management, Data analysis, Presentation skills | Continues the development of comprehensive business analytics projects with a focus on advanced topics and applications. |
| Subject | Topics | Description |
|---|---|---|
| Big Data Analytics | Hadoop ecosystem, NoSQL databases, Big data tools | Explores big data technologies, platforms, and analytics methods for handling large-scale data sets effectively. |
| Business Process Management | Process modeling, Workflow automation, BPM software | Focuses on optimizing business processes, workflows, and automation using BPM methodologies and tools. |
| Advanced Analytics Techniques | Advanced statistical methods, Predictive modeling | Covers advanced analytics techniques such as clustering, forecasting, and predictive modeling for complex data analysis. |
| Risk Analytics and Management | Risk assessment, Mitigation strategies, Compliance | Examines risk management frameworks, strategies, and tools for identifying, assessing, and mitigating business risks. |
| Supply Chain Analytics | Logistics optimization, Inventory management, Demand forecasting | Applies analytics to supply chain management for improving efficiency, reducing costs, and meeting customer demand. |
| Text Analytics and Natural Language Processing | Text mining, Sentiment analysis, NLP algorithms | Explores text analytics techniques and NLP algorithms for extracting insights from unstructured textual data. |
| Customer Relationship Management | CRM systems, Customer segmentation, Relationship marketing | Focuses on strategies and technologies for managing customer relationships, loyalty, and satisfaction. |
| Data Governance and Privacy | Data policies, Compliance standards, Privacy regulations | Covers data governance frameworks, compliance requirements, and privacy laws for data security and integrity. |
| Business Analytics in Practice | Case studies, Industry applications, Business analytics tools | Applies business analytics concepts to real-world scenarios and industry challenges for practical experience. |
| Business Analytics Capstone Project III | Project management, Data analysis, Presentation skills | Culminates the program with an advanced business analytics project integrating all learned skills and knowledge. |
| Subject | Topics | Description |
|---|---|---|
| Elective Courses (based on specialization or area of interest) | Advanced topics, Specialized areas, Industry-specific courses | Allows students to choose elective courses based on their interests, career goals, and desired specialization. |
| Dissertation/Thesis | Research proposal, Literature review, Data analysis | Involves independent research on a chosen topic, culminating in a dissertation or thesis demonstrating expertise. |
| Internship/Industry Project | Practical experience, Professional development, Networking | Provides hands-on experience through internships or industry projects to apply learning in real business environments. |
The entrance exam syllabus for Online MBA in Business Analytics is presented in a table:
| Subject | Topics Covered | Description |
|---|---|---|
| Quantitative Aptitude | Arithmetic, Algebra, Geometry, Data Interpretation | Tests mathematical and analytical reasoning skills essential for business analytics, including data interpretation and problem-solving. |
| Verbal Ability | Reading Comprehension, Vocabulary, Grammar | Evaluates reading and language skills necessary for understanding business documents, reports, and communication in the workplace. |
| Data Interpretation and Analysis | Charts, Graphs, Data Analysis Techniques, Statistical Methods | Assesses the ability to interpret and analyze data using various graphical representations and statistical methods. |
| Logical Reasoning | Deductive and Inductive Reasoning, Analytical Thinking | Tests logical reasoning and critical thinking abilities crucial for decision-making and problem-solving in business scenarios. |
| Business Awareness | Industry Trends, Current Affairs, Business Environment | Measures knowledge of business concepts, industry trends, economic environment, and current affairs relevant to business analytics. |
The top books for Online MBA in Business Analytics is presented in a table:
| Book Title | Author(s) | Description |
|---|---|---|
| Business Analytics: Mastering the Art of Turning Data into Profit | Alistair Gunn | This book offers a comprehensive introduction to business analytics, covering the essential concepts, tools, and techniques you'll need to succeed in this field. It covers topics like data collection, data analysis, data visualization, and storytelling with data. |
| Storytelling with Data: A Data Visualization Guide for Business Professionals | Cole Nussbaumer Knaflic | Effective communication is a key skill for business analysts. This book teaches you how to create clear, concise, and visually appealing data visualizations that will help you communicate your findings to any audience. pen_spark |
| Data Science for Business: What You Need to Know About Data Mining and Data-Analytic Thinking | Foster Provost and Tom Fawcett | This book provides a business-oriented perspective on data science, focusing on how to use data analytics to solve real-world business problems. |
| Too Big to Ignore: The Business Case for Big Data | Phil Simon | Big data is a major trend in business analytics, and this book provides a clear explanation of what big data is, how it's being used by businesses, and the potential benefits of using big data analytics. |
| Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython | Wes McKinney | Python is a popular programming language for data analysis, and this book is a great introduction to using Python for data wrangling, analysis, and visualization. |
What is the structure of the Online MBA in Business Analytics program?
The Online MBA in Business Analytics program is typically divided into semesters, covering subjects like data analytics, business communication, finance, and strategic management.
What are the core subjects included in the Online MBA in Business Analytics curriculum?
Core subjects in the Online MBA in Business Analytics curriculum often include data visualization, predictive modeling, business ethics, operations management, and advanced analytics techniques.
Are there elective courses available in the Online MBA in Business Analytics program, and what areas do they cover?
Yes, elective courses in the Online MBA in Business Analytics program allow students to specialize in areas like big data analytics, supply chain analytics, text analytics, and customer relationship management.
How are the capstone projects structured in the Online MBA in Business Analytics program, and what do they entail?
Capstone projects in the Online MBA in Business Analytics program involve applying learned skills to real-world business problems, often culminating in a comprehensive analytics project demonstrating expertise.
What are the prerequisites for joining the Online MBA in Business Analytics program?
Typically, candidates need a bachelor's degree and may require prior coursework or experience in business, analytics, or related fields to join the Online MBA in Business Analytics program.
Is there a focus on industry-relevant tools and software in the Online MBA in Business Analytics program?
Yes, the Online MBA in Business Analytics program often includes training in tools like Python, R, SQL, Tableau, and other data analytics and visualization platforms.
How are assessments conducted throughout the Online MBA in Business Analytics program?
Assessments in the Online MBA in Business Analytics program may include exams, projects, case studies, presentations, and participation in discussions to evaluate knowledge and skills.
Are there opportunities for internships or industry projects in the Online MBA in Business Analytics program?
Many Online MBA in Business Analytics programs offer internships or industry projects to provide practical experience and networking opportunities in the analytics field.
What support services are available for students in the Online MBA in Business Analytics program, such as career guidance or academic assistance?
Students in the Online MBA in Business Analytics program may have access to career counseling, job placement assistance, academic advising, and tutoring services.
What are the expected learning outcomes of the Online MBA in Business Analytics program?
Graduates of the Online MBA in Business Analytics program are expected to gain expertise in data analytics, decision-making, business strategy, and communication, preparing them for roles as business analysts, data scientists, and analytics consultants.
Ask us and get personalized response free of cost.
Get Latest Notification of Colleges, Exams and News.
back