hillside academy group of institutions offers an mba in business analytics that provides students with the knowledge and skills necessary to become successful business analytics professionals. the program is designed to equip students with the ability to analyze data and develop strategies to improve business performance. the curriculum covers topics such as data mining, predictive analytics, and decision-making. students will also learn how to use software tools to analyze data and create visualizations.
the faculty at hillside academy group of institutions is comprised of experienced professionals from the industry who are well-versed in the latest trends and technologies in the field of business analytics. the faculty provides students with the necessary guidance and support to help them succeed in their studies.
the selection process for the mba in business analytics program is based on the candidate's academic performance, work experience, and aptitude. candidates must also demonstrate their commitment to the program and their ability to work in a team environment.
the mba in business analytics at hillside academy group of institutions is an excellent opportunity for students to gain the skills and knowledge necessary to become successful business analytics professionals. with the help of experienced faculty and a comprehensive syllabus, students can gain the skills and knowledge necessary to excel in the field.
| Course Duration | Course Level | Fee | Mode of Study | Institute Type |
|---|---|---|---|---|
| 2 Years | Post Graduate | INR 2.5 Lakhs | Full Time | Private |
1. data analysis and visualization
2. business intelligence and decision making
3. predictive analytics
4. business process modeling
5. data mining and machine learning
6. database management and design
7. business strategy and planning
8. financial modeling and analysis
9. business analytics tools and techniques
10. project management
11. business communication and presentation skills
12. leadership and team building
13. ethics and professionalism in business analytics
14. business analytics in the digital age
15. big data and cloud computing
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