Executive Master
Big Data & Business Analytics
Our Executive Master is designed for high-potential managers with at least three years of professional experience who want to reinforce their skills in Business Analytics & Big Data.
The programme features an interdisciplinary curriculum that enables participants to build the in-demand technical, analytical and communications skills needed to manage large data sets and drive organisational change. This Executive Master is part-time and designed to fit alongside our participants’ full-time employment. This enables academic progression without disrupting working life and allows participants to apply what they have learned immediately.
The programme aims to provide participants with an understanding of the societal, organisational, managerial and entrepreneurial issues associated with the widespread use of big data and business analytics. It provides participants with an introduction to applied data analysis techniques (developing the practical skills of applied data analysis) while also teaching them to identify and evaluate advancements in data science and big data in their broader context. This includes the role and potential of data and analytics in the evolution of organisational practice and management. By the end of the programme, participants will be able to:
- 1Demonstrate expansive and deep knowledge of big data and business analytics
- 2Understand the leading technologies available in the market and be able to choose the relevant solution based on a given situation or objective
- 3Demonstrate knowledge and understanding of applied modelling and prediction
- 4Use analytical, problem-solving and decision-making skills in a variety of data-related jobs and functions
- 5Identify how value can be created through a data-driven transformation programme
- 6Support and potentially lead data-driven internal transformation processes
Faculty
Guillaume Thfoin
Co-directeur Académique
Maria Koutsovoulou
Co-directeur Académique
- DP World
- Global Aerospace Logistics LLC (GAL)
- Department of Community Development, Abu Dhabi
- General Civil Aviation Authority
- Permits and Licensing Division – Department of Education and Knowledge
- Institute of Applied Technology
- Presidential Office
- Abu Dhabi National Oil Company (ADNOC) Offshore
- Ministry of Climate Change and Environment
- Ajman Municipality
- UAE Ministry of Education
- Ministry of Cabinet Affairs
- Ministry of Defense
- Sharjah Road and Transport Authority (RTA)
- Al Futtaim Group
- Nawah Energy Company
- Central Bank of UAE
- Abu Dhabi Police
- Mohammed Bin Rashid Space Center
- Abu Dhabi Juridical Department
- Abu Dhabi Vocational Education and Training Institute (ADVETI), Abu Dhabi
- Dubai International Financial Center Authority (DIFCA)
- National Marine Dredging Company
- Senior Architect
- Senior Officer, Quality Management
- Lieutenant Officer
- Construction Civil & Architectural Construction Engineer
- Project Manager in Engineering
- Station Manager
- Manager
- Plant Engineer
- Senior Outage Preparation Specialist
- Head of Department
- Business Planning Analyst
- Specialist – Security & Monitoring
- Director – Human Resources Department
- Careers Counsellor
- Procurement/Supply Chain (Inventory)
- Senior Officer – FinTech & Innovation, Business Development
- Environmental Engineer
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Executive Master
Big Data & Business Analytics
Curriculum
Semester 1 Comprises six 30-hour core courses (5 ECTS credits each)
This semester gives participants a thorough refresher in management fundamentals. The 6 courses cover Economics, Marketing, Strategy, Accounting and Finance, Statistics for Management, and Leadership, each carrying 5 ECTS credits. Participants awarded at least 240 ECTS credits from their previous degree may be exempted from Semester 1 (30 ECTS credits) and join the programme in Semester 2. Participants who have completed 180 ECTS credits and have at least 3 years’ work experience may also be exempted from Semester 1 (30 ECTS credits) after undergoing a process to validate their acquired professional and personal knowledge.
Semester 2 Consists of six 20-hour courses (5 ECTS credits each)
The disciplinary and thematic focus of these courses is Data Science and Big Data Fundamentals, where students learn how to extract knowledge from data and drive critical decisions. This module will also provide the necessary hands-on training to use statistical software to prepare data, conduct analyses, and create meaningful data visualisations.
- Data-Driven Strategy
- Decision Making
- AI/ML and Predictive Analytics
- Statistics for Managers
- Big Data Technologies
- Business Process Analysis and visualisation
Semester 3Consists of four 20-hour courses (5 ECTS credits each) and an elective course (25-hour course of 6 ECTS credits)
Students must pick one of two electives to validate the programme.
The focus of these thematic courses is ‘Business Analytics’, where students learn via current cases how leading organisations apply big data & business analytics to transform their businesses and industries. The courses are:
- Management Decision Modeling
- Marketing Analytics
- Data Leadership and change
- Supply Chain Management (optional course)
- Financial Analytics (optional course)
Throughout both semesters 2 and 3, students have six months to complete the following 3 online asynchronous courses at their own pace:
- Sustainability (5 ECTS)
- Data Privacy and Security (5 ECTS)
- Research Seminar (4 ECTS)
In semester 3, the end-of-study project, called the International Consultancy Project (ICP), culminates in a two-part written report (18 ECTS credits). Participants must also complete a 20-hour co-development workshop and submit an individual written report (7 ECTS credits).
The International Consultancy Project (ICP) allows participants to work in groups to make recommendations and propose solutions for a specific problem faced by a company. This project requires participants to carry out an in-depth analysis of the literature and the company's situation. The final report consists of a group component and an individual report where each participant shares the ways they might use all or part of the ICP work in their own career and what they have learned personally during the ICP.
The ICP thesis represents 18 ECTS credits.
Another key programme element is the Co-development Workshop (20 hours) and Report (7 ECTS credits). Co-development is an innovative methodology that equips participants with the tools they need to deal with difficult or complex situations. Instead of taking an individual approach, co-development offers a more objective approach based on collective intelligence.
The methodology considers the points of view of other group members who have shared experiences or problems. It relies on active listening. Participants are trained in the methodology during a workshop and then divided into groups to conduct independent co-development sessions.
Other programmes that might interest you
Executive Master
Big Data & Business Analytics
Admissions & Tuition
Profile
24-40
years old
Requirements
Bachelor's degree (minimum of 180 ECTS credits) with 3 years of professional experience or Master's degree
Admissions
Step 1: Application
Applicants will receive the digital PDF application to be filled out and returned to the admissions team with all the required documents. Carefully complete the online application form before the deadline and include all the required documents:
- A copy of a Master or Bachelor diploma obtained
- A copy of a Master or Bachelor degree transcripts
- A copy of a TOEFL or TOEIC listening and reading score or IELTS score (taken within the last two years)
- We strongly recommend adding two reference letters to the application.
The admission committee will review complete applications to determine an applicant’s eligibility for the programme.
Step 2: Personal interview
Eligible applicants will be invited to a personal interview with the Academic Director of the Master and professionals from the sector.
Admissions results will be sent out by email.
Step 3: Confirmation
Applicants who are offered a place must confirm their acceptance by the deadline indicated in the admission offer.
Tuition Fees
250,000 AED (62,000 €)