An opportunity for you, if you are anMaster Program Student. We want to introduce you to Business Analytics for Master Program student, and let you know how it would help you gain an edge with your existing master qualification. MPBAs are sought after for their ability to think critically, deal with ambiguity and solve complex problems. But due to the growing volume and velocity of data, today MPBAs are expected to make quicker, and more accurate, and data-driven decisions to grow a business- which is only possible with knowledge of ANALYTICS.

REASONS WHY LEARNING BUSINESS ANALYST FOR MASTER PROGRAM:

  1. NO TIME FOR ERROR IN DECISION-MAKING

You can’t afford to make a wrong decision when there’s a lot riding on the line. With analytics as your driving force, your business can chart a lucrative and truly sustainable course.

  1. MPBAs should have basic analytical skills

For Master Program holders, specifically from Finance and Marketing backgrounds, having familiarity with basic analytics and statistics is a must. This can range from advanced knowledge of Excel to skills around tools like R and SAS, and Tableau.

Master Program holders with a focus on data analytics have the ability to work in a wide range of industries and functions. For example, Master Program holders can work in marketing, given their ability to use data to understand advertising and consumer behaviour. Or they can work for a management consulting firm or financial services firm using their skills to analyze risk and incorporated uncertainty to identify profitable customers and determine strategies.

  1. BUSINESS ANALYTICS: MAKING SENSE TO BOTH BUSINESS AND IT

A Business Analyst typically uses tools like R to spot trends, manage a reporting dashboard and ensure that data is presented in a personalized, meaningful manner for consumption by the business and IT departments of an organization. Today, this is an integral skill that is expected from Master Program holders. According to KPMG, Master Programholders need to be technical enough to speak the language of data science, and also need to know how to use data to solve business problems and deliver results.

“For admission, enquire here