Agnès Gorge
Assistant professor in Business Analytics at Africa Business School, 15 years of practical experience in applying analytics within the industrial sector.
MASTER IN BUSINESS ANALYTICS FOR TRANSFORMATION (MBAT)
Intake
April 2024
Location
Africa Buasiness School campus, UM6P, Rabat
Format
– In person
– 22 modules of 2 days
Duration
Master: 2 years
Certificate: 6 months
Target
– Business analysts and consultants
– Managers
– Tech-entrepreneurs
– Technologists
Language
English
Embark on a transformative journey: Making Data Accessible to Everyone
At Africa Business School, we believe that despite technical challenges, learning to utilize data, analytics, and AI is achievable for everyone.
Our Master in Business Analytics for Transformation program is designed to make analytics accessible, even for those without a strong technical background.
WHY AN EXECUTIVE MASTER IN BUSINESS ANALYTICS FOR TRANSFORMATION ?
Understand Data Essentials Data Driven Decision-Making Empower with Basic Analytics Tools Improve your skills & Uncover Business Opportunities with Advanced Analytics
THIS PROGRAM IS DESIGNED FOR:
Business analysts and consultants Professionals with management responsibilities Tech-entrepreneurs
We welcome candidates with diverse academic and professional backgrounds who are eager to deepen their understanding of data analytics, drive strategic decision-making and leverage analytics for innovation in the evolving business landscape.
PROGRAM STRUCTURE
The Master in Business Analytics for Transformation is structured in 3 certificates.
You can either apply for the whole diploma or only for one certificate:
SEMESTER 1: GET SOLID BASIS
This module aims to establish a strong foundation by demystifying fundamental concepts, introducing Python, covering data manipulation, and providing a basic understanding of analytics tools for descriptive, predictive, and prescriptive analysis.
SEMESTER 2: LEVERAGE MODELS TO NAVIGATE ONTO A VUCA WORLD
This module focuses on utilizing models to navigate a VUCA world, transitioning from static to dynamic models, embracing uncertainty, and learning how to employ models for complex decision-making and problem-solving.
SEMESTER 3 : OPEN PERSPECTIVES
This module aims to broaden perspectives by exploring advanced algorithms beyond AI, understanding their potential impacts, learning implementation in complex organizations, and leveraging them to disrupt value propositions.
PEDAGOGICAL TEAM
Our faculty members are highly experienced in research and executive training. They bring a diverse set of expertise from their experience with leading international organizations and universities.
Assistant professor in Business Analytics at Africa Business School, 15 years of practical experience in applying analytics within the industrial sector.
Chair of the Department of Finance and Risk Engineering at New York University, Professor of Applied Mathematics and Financial Engineering.
Professor of Economics at Paris Dauphine University, 15 years of practice in Electricity Market Risk Management. Co-founder of the Finance for Energy Markets research initiative.
Dean of Faculty at Africa Business School, Director of the LTA Center of Excellence (Leading Transformations in Africa) and Assistant professor in Organization & Leadership.
Assistant Professor in the School of Operations Research and Information Engineering at Cornell University. Expert in Optimization, Data-driven decision making, and Revenue Management.
Adjunct lecturer at Harvard Kennedy School teaching Data Visualization courses. Serves as a research fellow at the Malcolm Wiener Center for Social Policy.
DEGREE
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