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2. The top 10 MBA concentrations and how to choose one - AOL

   www.aol.com/finance/top-10-mba-concentrations...

   The best MBA concentration for ... Students learn how to manage teams working on simultaneous projects and develop best practices for data analytics and business intelligence. ... The job outlooks ...

3. What Exactly Can I Do With an MBA? - AOL

   www.aol.com/exactly-mba-125700086.html

   The 14 best jobs for MBA graduates ... This role taps into analytics and data to build marketing and ad campaigns to build relationships with customers. The average salary for a digital media ...

4. Master of Science in Business Analytics - Wikipedia

   en.wikipedia.org/wiki/Master_of_Science_in...

   A Master of Science in Business Analytics (MSBA) is an interdisciplinary STEM graduate professional degree that blends concepts from data science, computer science, statistics, business intelligence, and information theory geared towards commercial applications. Students generally come from a variety of backgrounds including computer science ...

5. List of United States graduate business school rankings

   en.wikipedia.org/wiki/List_of_United_States...

   Rankings tend to concentrate on representing MBA schools themselves, but some schools offer MBA programs of different qualities and yet the ranking will only rely upon information from the full-time program (e.g., a school may use highly reputable faculty to teach a daytime program, but use adjunct faculty in its evening program or have ...

6. New York University Stern School of Business - Wikipedia

   en.wikipedia.org/wiki/New_York_University_Stern...

   #1 Best Career Prospects in the U.S. by The Princeton Review (2023) [38] #5 Best Business School in the U.S. by The Princeton Review (2023) [39] #5 in the U.S. and worldwide for Finance by The Academic Ranking of World Universities (2023) [40] #6 in the U.S. and worldwide for Post-MBA Salary by The Economist (2022) [41]

7. Business analytics - Wikipedia

   en.wikipedia.org/wiki/Business_analytics

   The difficulty in ensuring data quality is integrating and reconciling data across different systems, and then deciding what subsets of data to make available. [3] Previously, analytics was considered a type of after-the-fact method of forecasting consumer behavior by examining the number of units sold in the last quarter or the last year. This ...