Master of Science in Business Analytics

Us Education Consultants in Delhi | Limina Academics
Course ID
NU216
Online
Yes
On Campus
Yes
Duration
1 Year
Semester
Course Level
500, 600, 700

If you’re an educational professional who are looking to progress into management and consultancy, or an educational planning or development role, this is the best degree for you.

A Bachelor’s Degree from an Accredited college or University with an overall GPA of 2.5 or better,
or a GPA of 2.75 or higher achieved in the last 90 quarter units with a proficiency in english, TOEFL score of atleast a 79(IBT) or IELTS score of 6 or more

  • Cost per Quarter Unit $430
  • 4.5 unit quarter course $1989
150K ALUMNI WORLDWIDE 4 WEEK CLASSES #1 IN SAN DIEGO
Become a part of NU’s global alumni community.
The MS in Business Analytics program includes four-week classes.
National University is San Diego’s largest private nonprofit university.

Big data is the result of mass amounts of transactions made available to the business world for scientific research. Effectively managing and mining big data requires unique skills that are currently in high demand. The Master of Science in Business Analytics online and on-campus courses teach you to apply scientific knowledge to big data in ways that reveal practical patterns that can be used to improve business decisions. This information is invaluable in measuring the success of operations, forecasts, and strategic planning.

In the program you’ll learn to analyze data in an analytics environment and evaluate methods and technologies to organize and normalize data for use in statistical analysis. You’ll discover how to construct data files and statistical models to help guide a company in reducing costs, increasing efficiency, and reducing risk.

Program Learning Outcomes

Evaluate methods and technologies to organize and normalize data for use in statistical analysis.
Construct data files and statistical models to find patterns for competitive decision making.
Design an analytical model to forecast prices based on the previous data patterns.
Apply security, privacy, and ethical measures using data and analytical models to improve organizations’ due diligence.
Apply the appropriate data model to analyze the performance of supply chain processes.
Construct analytical models to business data to achieve targeted results.