MBA in Business Analytics Admission 2021-22: The main focus in the degree is artificial intelligence, the use of some different statistical tools to make decisions in the business, etc. the postgraduate degree is demanded highly in the current time. MBA in Business Analytics is a PG program offered for a 2-year duration. It is related to business management streams. The course aims to provide skilled professionals to the business field.
Business analytics deals with statistical processes and technologies to analyze historical data for decision-making and new insights in business. This MBA program needs for coping with future challenges of data and technology. Data Mining, Advanced Business Analytics, and Quality Management are focused subjects of the MBA Business Analytics syllabus. After completing MBA in Business Analytics, students can go for higher studies like PhD in Business Analytics.
- 18 October 2021: KIIT School of Management (KSOM), Odisha, offers admission to the “MBA in Business Analytics” program. Students interested in taking admission to this course can visit the university’s official website. For more details, click here.
- 18 October 2021: Sharda University, Greater Noida, invites application forms for the “MBA in Business Analytics” program. Students looking to opt for this course can visit the university’s official website. For more details, click here.
MBA in Business Analytics Highlights
|Course Name||MBA Business Analytics|
|Admission Process||Merit-Based/ Entrance Test|
|Course Level||Post Graduate|
|Examination Type||Semester system/ Year wise|
MBA in Business Analytics Admission 2021-22
The degree’s significant concentration is on artificial intelligence, applying various statistical techniques to make business judgments, and so on. In today’s world, a postgraduate degree is in high demand.
|Courses Admission 2021-22|
|Arts Courses||Education Course|
|Certificate Courses||Engineering Courses|
|Commerce Course||Management Courses|
|Diploma Course||Paramedical Courses|
|Doctor Courses||PG Courses|
|Vocational Courses||Science Courses|
- Completed Bachelor’s degree or Master’s degree from any recognized university with minimum 50% aggregate.
- The candidate should be a graduate (Bachelor’s degree) from a reputable college.
- They should have a 50% total overall.
- In reserved seats, the candidate should have 45% total.
- They should pass the entrance exam.
The average fee for MBA in Business Analytics course is 5 to 15 LPA.
This MBA program is open to BBA, BA, or BSc in Management or Business stream degrees holders. The curriculum requires a minimum 45 per cent score in a Bachelor’s degree.
Some universities offer distance learning admission in the course to pursue by those aspirants who cannot attend regular classes.
Pre-admission tests for this MBA program include the CMAT, MAT, and GMAT.
- GSIB Entrance Test (GET)
- Graduate Management Admission Test (GMAT)
- Hyderabad Business School (HBSAT)
- IBS Aptitude Test (IBSAT)
The salary that an MBA in business and analytics degree holder can get is 8 to 16 LPA. Jobs offered to these professionals are Project Manager, Statistician, Data scientist, computer System Analyst, etc.
Types of Courses
The degree courses are offered full time and some of the distant courses. The fee structure will be different for all the courses.
What is the MBA Business Analytics Course?
MBA in Business Analytics is a course teaching data-driven business. The use of data for running and probing is studied. This data is used in many businesses. In which manufacturing and energy business is main.
Social media and Financial systems are dependent on Business Analytics. It is used to create models, statistics, applications, etc. Techniques are also made with their help. The topics taught are various. Some of them are data Cleaning, Data Visualization, etc.
MBA in Business Analytics University & Fees
|Veer Kunwar Singh University||3 years||26400|
|KREA University||3 years||24400|
|Pandit Deendayal Petroleum University||2 years||97395|
|Parul University||2 years||97640|
|Plastindia International University||2 years||97885|
|PP Savani University||2 years||98130|
|Raksha Shakti University||2 years||98375|
|RK University||2 years||98620|
The syllabus is an overall view of Business Analytics. The course teaches about analyzing an organization’s operations. This data is then collected and formed to give out results for its progress. Statistical data made for the business process is taught.
The syllabus may cover subjects of; Statistical Analysis and Optimization Analytics. They also consider Computational Methods and Marketing Management etc. The issues further in the course are more complex. They focus mainly on Analytics later on. They may include, Operations and Supply Chain Analytics and Data Mining.
MBA in Business Analytics Syllabus
|Semester 1||Semester 2|
|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 3||Semester 4|
|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|
The postgraduates are highly required. Their skills are vital for many firms. Such as; Healthcare, Gaming, and Retail institutions. These industries require Analytical knowledge experts. They are required to maintain healthy progress as an Updated version of progress is also ideal.
These students get jobs such as Data Analyst, Business Intelligence expert, etc. They may also become Analyst Project Managers, Data Mining Experts, Big data Analysts, etc.
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