Online Master of Business Administration (Business Analytics)
Online Master Of Business Administration (Business Analytics)
An Online MBA in business analytics from C.U. Online with KPMG Partnership equips learners with essential skills crucial for securing positions as Data Analysts, Business Intelligence Managers, Data Scientists, Market Research Analysts, and other related profiles. The curriculum of this course aims to develop learners’ abilities to collect, analyze, and interpret data, fostering the skills needed to support strategic decision-making within organisations.
Minimum Eligibility for Online Master Of Business Administration (Business Analytics)
Bachelor degree in any discipline with at least 55% marks from recognized University/ Institution with Mathematics/Statistics/Quantitative Techniques as one of the subjects at 10+2 or Graduation Level. Graduates of recognized professional programmes like CA/ ICWA/CS etc. are also eligible to apply.
Minimum Duration
2 years (4 Semesters)
Online MBA (Business Analytics)
| Programme | Fee Structure | Fee After 10% EBD discount |
|---|---|---|
| Online Master of Business Administration (Business Analytics) Programme 2,00,000/-
Programme fee after 10% Early Bird Discount Rs. 1,80,000 | ||
| Per Semester Fee | Rs. 45,000/- | |
| Annual Payment | Rs. 90,000/- | |
| Lump Sum Fee | Rs. 1,80,00/- |
NOTE:
One time new admission prospectus fee : Rs. 1000/- (at the time of admission only) *this amount is not refundable
Online MBA (Business Analytics) Advantages
Globally-Recognized Program
Online Examinations
Live Classes
Flexible Examination
With KPMG Partnership
Placement Assistance
COURSE CURRICULUM
- Statistical Analysis for Business Decisions
- Business Analytics
- Decision Science
- Spreadsheet Modeling and Analysis
- Introduction to Business Analytics
- Multivariate Data Analysis
- Business Research Methods
- Quantitative Aptitude and Data Interpretation
- Advance Python Programming
- Data Mining
- Predictive & Descriptive Analytics
- Data Analysis for Business Decisions
- Advance R Programming
- Data warehousing and visualization
- Big Data Analytics and tools
- Planning Analytics
- Sectoral Analytics
- Business Forecasting & Time series
- Predictive Modeling
- Machine Learning