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Suliman S. Olayan School of Business
 
Welcome to Master's in Business Analytics
 

 

The Master’s in Business Analytics (MSBA) program prepares students with knowledge, tools, and skills to analyze big data, to make effective business decisions, improve performance, create shared values, and enable the digital transformation from basic to smart organizations. Graduates of the program will learn the various data analytics processes from managing, modelling, analyzing, visualizing, and recommending solutions to challenges in various domains, including supply chain and operations, project management, marketing, human resources, and finance.

Program Highlights:

  • Identify technological framework for collecting, preparing, processing, analyzing, and delivering data.
  • Develop advanced analytical modeling and problem solving skills to best address challenges in various industries.
  • Learn reporting techniques with emphasis on visual display of big data and analytical results.
  • Learn how to effectively communicate analytical and complex results to different audiences.
  • Develop core management skills relevant to business analytics projects, including designing, planning, implementing, leading team and managing conflicts.

Program
MSBA is a one-year full-time program. It starts with a 2-week bootcamp and continues for 12 months.

August

 

FALL


4 core courses
.

​ ​ ​
Bootcamp & Orientation (pre-requisite)

C

O

R

 E ​ ​ ​ ​ ​
Business Understanding
Data Processing Framework
Applied Statistical Analysis
Optimization &  Simulation

SPRING




2 core courses

+
2 core specialized elective courses

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Predictive Analytics & Machine Learning
Data Visualization & Communication

Current Concertation Areas Include:

1-Supply Chain Analytics;
2- Project Management Analytics;
3- Marketing Analytics Or
4- Generic

NB: Students can choose two specialized elective courses related to the chosen concentration



E


L

E

C

T

I

V

E

SUMMER

6 credits

Option 1: Thesis
Option2: An elective and a project

 

 

Apply Now

 

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