MBA Business Analytics syllabus and subjects are a combination of business intelligence, data analytics, and computer programming. Business analytics is the science of analyzing data. MBA Business Analytics course includes classroom lectures, discussions, industry interactions, case studies, projects, and other activities. MBA Business Analytics management course consists of two types of subjects that are core and elective subjects. In the first year of MBA Business Analytics, students have to learn the core subjects of business. In contrast, in the second year, students deal with elective and specialized subjects according to their interest area.
MBA in Business Analytics syllabus is divided into four semesters with a duration of two years. Students can opt for their specialization according to their area of interest in the second year of post-graduation. Here is the list of syllabus mentioned below in a semester wise sequence:
|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|
|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||Project Management|
|Analytics Systems Analysis and Design||Professional Development|
|Industry Internship Programme||Elective Paper|
Subjects in MBA Business Analytics are classified into two parts that are core and elective subjects. Internships and projects are an essential part of the MBA Business Analytics course syllabus. Aspirants can choose specialization according to their area of interest.
Apart from core subjects, there are elective subjects as well as:
MBA Business Analytics course is being used in every industry like banking & financial services, e-commerce, and retailing. Business analytics course provides detailed insights on analytical aspects of finding business data, leads generated by mobile technology, computing, and other services. MBA in Business Analytics subjects helps to enhance skills and knowledge regarding analytics, theoretical statistics and applied analytics for job opportunities.
Teaching methodologies and techniques used at MBA business analytics postgraduate level can be very different. Students are taught, and they largely depend on the course content and level of study. In all cases, students are required to undertake an independent study. Students can work in organizations/companies as they have to submit the final year internship file. In short, the teaching methodologies and techniques are:
MBA Business Analytics makes students understand and experience the business problems and find their feasible and creative solutions. Students can utilize the tools and technology wherever required in a particular project possible. Some of the teaching methods and technologies that may be highly effective in business analytics education are:
MBA Business Analytics projects can be taken up on different topics such as various optimization, business forecasting, supply chain analytics, marketing analytics, and more. MBA Business Analytics project is a term used to describe the planning, development, assessment, and implementation of business analytics in a company, mainly business analytics tools and technologies that will help managers solve business problems and derive actionable solutions. Business Analytics projects require cooperation between various companies' processes, technology objectives, and data while contributing to business goals.
Popular MBA Business Analytics projects are:
Top best books on business analytics explore a wide range of subjects that may extend far beyond the field, business analytics offering a high-level insight that will take your business analytics skills and enhance confidence to a whole new level.
|Business Intelligence for Dummies||Swain Scheps|
|Business Intelligence Guidebook||Rick Sherman|
|Successful Business Intelligence||Cindi Howson|
|Business Intelligence Roadmap||Larissa T. Moss and Shaku Atre|
|Data Strategy||Bernard Marr|