MBA - Business Intelligence & Analytics
MBA in Business Intelligence and Data Analytics which is a postgraduate-level program, students learn how to use data effectively for strategic planning and decision-making within organizations. The foundational topics such as finance, marketing, operations, strategy, and leadership are covered. In addition to the above topics, the students take specialized courses as well. The courses included are Introduction to business intelligence and data analytics, data warehousing and data mining, data visualization and reporting, business analytics, predictive analytics, big data analytics, machine learning for business intelligence, text analytics, web analytics, etc.
The Business Intelligence and Analytics (BI&A) master's program provides a blend of analytical and professional skills to help you become the kind of manager who challenges assumptions and uses data to make evidence-based decisions. The Business Intelligence and Analytics curriculum covers the concepts at the forefront of the data revolution — machine learning, language processing, web mining, optimization, and risk. Classes explore key business concepts while going beyond basics in R, SAS, Hadoop, Python and Spark. The program culminates in a capstone experience in which you'll work on a project, using real data, under the guidance of an industry mentor.
MBA - Business Intelligence & Analytics Eligibility Criteria
The students must have a UG degree from a recognized board or university in the related subject. The students must also meet minimum percentage criteria as specified by the university.
• The candidates should have a bachelor's degree in any discipline.
• The candidates should have cleared a bachelor's degree from a recognized university or institution.
• A minimum of 50% marks is required.
MBA - Business Intelligence & Analytics Course Duration
The MBA Analytics Management course is for 2 years duration with 6 semesters. The main purpose of the course is to equip students with the knowledge and skills required to use data effectively for decision-making and strategic planning within organizations.
• Case studies are often used in the course curriculum. They provide real-world examples of how businesses use data analytics and business intelligence to make strategic decisions.
• The course includes practical workshops and lab sessions. It provides students with opportunities to work with data analysis software and tools.
• Group projects also form part of the course.
Program Benefits
1. Leadership: Use the potential of Business Intelligence and Analytics (BIA), deep learning, and predictive analytics as engines of enterprise to drive growth.
2. Specialized Skillset: Learn the concepts at the forefront of the data revolution — machine learning, language processing, web mining, optimization, and risk. Apply these skills to collect, analyze, and interpret data to form problem-solving, actionable strategies.
3. Holistic Approach: Approach problems and decision-making from both a strategic business perspective and a data-driven analytical perspective leading to more comprehensive and effective solutions.
Job Profiles after MBA - Business Intelligence & Data Analytics Degree CourseThe field continuously evolves, offering numerous opportunities for growth and advancement in both traditional and emerging industries. Below are Some of the job profiles included are-
- Business Intelligence Analyst
- Data Analyst
- Data Scientist
- Marketing Analyst
- Financial Analyst
- Operations Analyst etc.
In summary, BI and Analytics Solutions are vital tools for modern businesses. They help turn raw data into actionable insights, aiding in efficient decision-making, improving operations, and fostering growth and sustainability in an ever-evolving business landscape. Business intelligence and analytics can help you to make better decisions by providing you with the insights that you need and the ability to communicate those insights to decision-makers.