Masters in Business Analytics, Hult International Business School
Hult International Business School
San Francisco, United StatesShortlist
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MSc Masters in Business Analytics
Join the Masters in Business Analytics at Hult International Business School abd garness the power of big data through statistical analysis and business knowledge so that you can make meaningful, impactful contributions to any organization.
Fees
₹50.12L
Time
12M
University Type
Private
Program category
STEM-Designated
TOTAL COST
Tuition Fees₹50,11,564
Living expenses₹34,30,113
Total expenses₹84,41,677
AVERAGE SALARY
₹61,82,403 per annum
COURSE CURRICULUM
Advanced Data AnalyticsText AnalyticsData Visualization Data Management & SQLData OptimizationMachine LearningRANKING
#N/A
University
QS, 2024
#N/A
University
US News & World Report
#N/A
University
THE (Times Higher Education, 2024)
#5544
University
Webometrics Ranking of World Universities
#15013
University
Academic Ranking of World Universities (ARWU)
ADMISSION CRITERIA
OPTIONAL
| TEST | MIN. SCORE | YOUR SCORE |
|---|---|---|
| GRE | 300 | N/A |
| GMAT | 500 | N/A |
| IELTS | 6.5 | N/A |
| GPA | 3 | N/A |
| TOEFL | 80 | N/A |
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ABOUT UNIVERSITY
Hult International Business School
Hult International Business School, also known as Hult Business School or Hult, is a private business school with campuses in various locations around the world. Hult is affiliated with the EF Education First Group and offers a range of degree programs, including undergraduate, master's, and MBA. Additionally, Hult provides executive education through Hult Ashridge, which is located on the Ashridge Estate campus. The school has a rich history, being the successor of the Arthur D. Little School of Management and the Ashridge Business School.
Visit Website : https://www.hult.edu/en/locations/san-francisco/
Median income 5 years after attending
source : Government Data
₹61,82,403
Cost of living
source : Government Data
₹34,30,113
Safety
source : Government Data
Campus safety: 6.40/10
Male/ Female ratio
source : Government Data
FemaleMale
Race
source : Government Data
Asian (7.69%)
White (8.04%)
Black (8.39%)
Others (75.88%)
Low Indian Community
Moderate Safety