Dubai Business School
graduate

MBA in Statistics & Data Science

Overview

Position yourself at the forefront of data-driven decision-making with a unique hybrid MBA program offered by the University of Dubai, in collaboration with MITx. This program integrates core business courses from UD with specialized online courses in Statistics and Data Science from MITx, part of the world-renowned Massachusetts Institute of Technology.

Designed for forward-thinking professionals, this MBA equips you with critical skills in:

Statistical analysis and data interpretation
Machine learning and predictive modeling
Big data analytics and data visualization
Business intelligence and decision science

As industries increasingly rely on data to drive strategy and operations, this program prepares you to lead in high-demand roles across sectors such as finance, healthcare, logistics, marketing, and technology.

Whether you aim to become a data-savvy business leader, a strategic analyst, or pursue the MITx MicroMasters credential, this program offers a powerful combination of business acumen and data expertise—perfectly aligned with global trends and Dubai’s ambition to become a digital economy powerhouse by 2033.

Admission Requirement

Regular Admission	Conditional Admission
Accredited bachelor’s degree in Business with a minimum GPA of 3.0	Accredited bachelor’s degree in any field with a GPA of 2.00 – 2.99

Who Is The Program For?

This program is ideal for professionals who want to bridge the gap between data science and business strategy, including:

Business analysts and consultants seeking to strengthen their data and statistical modeling skills
Mid-career professionals in finance, marketing, operations, or healthcare looking to transition into data-driven roles
Technical professionals (IT, engineering, software) aiming to move into leadership or analytics-focused business positions
Entrepreneurs and decision-makers who want to harness data for smarter business outcomes
Aspiring data scientists and machine learning specialists who also want a strong foundation in business and management

Whether you're aiming to work in data strategy, business intelligence, or AI-powered analytics, this program prepares you to lead with confidence in a data-driven world.

Career Opportunities

Graduates of the MBA in Statistics and Data Science are equipped with a rare and valuable combination of technical expertise and business leadership skills. This opens up career opportunities across multiple industries including finance, healthcare, logistics, consulting, and technology.

In-Demand Roles Include:

Data Science Manager
Business Intelligence Analyst
Machine Learning Specialist
Data Strategy Consultant
Quantitative Analyst (FinTech, Banking)
Marketing Analytics Lead
Operations and Supply Chain Analyst
AI Project Manager
Risk and Compliance Analyst

With data now a central driver of innovation, demand for professionals who can translate analytics into action is growing fast in both public and private sectors across the UAE and beyond.

Estimated Salary Range

Graduates with advanced skills in data science and statistics, combined with an MBA, are among the most sought-after professionals in today’s job market.

Estimated Monthly Salary Ranges (AED):

Data Science Manager: AED 35,000 – AED 55,000
Business Intelligence Analyst: AED 22,000 – AED 35,000
Machine Learning Engineer (with leadership focus): AED 30,000 – AED 50,000
Quantitative Analyst / Data Strategist: AED 28,000 – AED 45,000
Marketing Data Analyst / CRM Strategist: AED 20,000 – AED 32,000
AI & Analytics Consultant: AED 30,000 – AED 48,000

Salary Influencers:

Technical specialization and industry experience
Certifications and the MITx MicroMasters credential
Leadership responsibilities and cross-functional skills
Sector (e.g., finance, healthcare, tech startups, government)

With the UAE heavily investing in AI and big data under national strategies like Dubai's D33 and the UAE Digital Economy Strategy, this program positions graduates at the center of economic transformation.

Program Specification

MBA Core Courses

Code	Course Name	CH	Prerequisite / Corequisite
MBA 600	Managerial Economics	3	-
MBA 611	Accounting & Financing Decisions	3	-
MBA 606	Marketing Management	3	-
MBA 620	Organizational Behavior	3	-
MBA 641	Ethics, CSR, & Corporate Governance	3	-
Research Component
MBA 625	Business Research Methods	3	-
MBA 646	Strategic Management (Capstone)	3	-

Focus Areas (Offered Online)

Statistics and Data Science

Code	Course Name	CH	Prerequisite / Corequisite
MITx 6431	Probability – The Science of Uncertainty and Data	3	-
MITx 1431	Data Analysis for Social Scientists	3	-
MITx 6501	Fundamentals of Statistics	3	-

Term 1

Term 1 - (3 MBA Core Courses)
Course Code	Course Title	Course Category	Suggested Prerequisite	Suggested Co-requisite	C.H.
MBA 625	Business Research Methods	MBA Core (Research Component)			3
MBA 600	Managerial Economics	MBA Core			3
MBA 606	Marketing Management	MBA Core			3
Semester Credits					9
Accumulated Credits					9

Term 2

Term 2 - (2 MBA Core Courses + 1 Focus Area Core Course)
Course Code	Course Title	Course Category	Suggested Prerequisite	Suggested Co-requisite	C.H.
MBA 611	Accounting & Financing Decisions	MBA Core			3
MBA 620	Organizational Behavior	MBA Core			3
MITX 6431	Probability - The Science of Uncertainty and Data	Focus Area Core			3
Semester Credits					9
Accumulated Credits					18

Term 3

Term 3 - (2 MBA Core Courses) or (2 MBA Core Courses + 1 Focus Area Core Course)
Course Code	Course Title	Course Category	Suggested Prerequisite	Suggested Co-requisite	C.H.
MBA 641	Ethics, CSR & Corporate Governance	MBA Core			3
MBA 645	Strategic Management (Capstone)	MBA Core			3
MITx 1431	Data Analysis for Social Scientists	Focus Area Core			3
Semester Credits					6 or 9
Accumulated Credits					24 or 27

Term 4

Term 4 - (2 Focus Area Core) or (1 Focus Area Core )
Course Code	Course Title	Course Category	Suggested Prerequisite	Suggested Co-requisite	C.H.
MITx 1431	Data Analysis for Social Scientists	Focus Area Core			3
MITx 6501	Fundamentals of Statistics	Focus Area Core			3
Semester Credits					3 or 6
Accumulated Credits					30