The MBA (Master of Business Administration) is a postgraduate degree that is awarded to students who have mastered the study of business. The MBA degree is thought to be one of the most prestigious and sought after degrees in the world.
Contact Schools Directly - Compare 11 MBAs in Data Science 2020
Competency in Business Data Analytics is now a staple in every organization as a result of the dependence on data in decision-making, the growth of e-commerce and the increase ... +
Earn the MBA you've always wanted, while gaining valuable expertise in business analytics.
This online MBA (Data Analytics) programme from Arden University has been designed for practising managers looking to take the step up to a strategic role; focussing on leader ... +
In today’s modern economy, data is very easy to gather and store. However, it’s knowing what to do with it that presents an obstacle. According to IBM ‘The Four V's of Big Dat ... +
Take advantage of the latest MBA in the WU Executive Academy's portfolio, pick up the tools and strategies needed to master digital challenges and transform your business.
The KWU MBA degree program provides early to mid-career professionals with the practical skills and competencies needed to accelerate their careers in business.
The MBA- Data Analytics specialization focuses on two aspects of the data science field: using theoretical models in the collection, design, and analysis of quantitative and q ... +
Our unique MBA in Data Driven Management programme is a transformational experience which aims to develop essential professional and soft skills to nurture leaders of the 21st ... +
he MBA specialization in Data Analytics allows students to build upon the predictive analytics knowledge acquired in the MBA core courses and hones into the big data principle ... +
The Institute of Computer Science of the Polish Academy of Sciences(IPI PAN)offers the MBA program taught with support from its Partner, the Woodbury School of Business at Uta ... +
The Program equips students to explore and immerse in new opportunities in the Data Age,