Dubai, United Arab Emirates
DURATION
3 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Sep 2025
TUITION FEES
AED 62,982
STUDY FORMAT
On-Campus
Key Summary
Introduction
The BA Business Management (Data Analytics) programme aims to seamlessly integrate theory with practice, emphasising practical learning, technological and analytical competencies, and global and cross-cultural awareness. This programme will enable you to effectively incorporate data handling and analysis techniques across a range of business decision-making scenarios.
Through effective teaching and learning, practical projects, and collaborations with industry professionals, students will gain real-world experience, preparing them for successful careers. With increasing competition and the need for data analytical competencies, this programme provides students with knowledge of the important aspects of data modelling techniques for quantitative and qualitative data analysis, aligned with ethical data usage frameworks and the skills to use data analysis tools and techniques to inform business decisions.
Why study BA Honours Business Management (Data Analytics)?
Middlesex University Dubai provides students with the opportunity to achieve an Honours degree in Business Management (Data Analytics) in three years. The programme is structured to enable students to develop a range of theoretical and practical capabilities in key areas of business management including strategy, leadership and people management, finance, sustainability, marketing, data analytics, innovation, and operations, as well as specialist areas in data analytics.
This programme is designed to enhance your global perspective, cultural and environmental awareness, and entrepreneurial abilities, while developing critical thinking, communication, and networking opportunities. Fostering analytical and creative skills, this degree prepares graduates for diverse career opportunities, advanced studies, and a significant role in driving business success.
Gallery
Admissions
Curriculum
Year 1
- Management in the Global Environment (30 Credits) – Compulsory
- Marketing Theory and Practice (30 Credits) – Compulsory
- Data and Digital Technologies (30 Credits) – Compulsory
- Financial Performance Management (30 Credits) – Compulsory
Year 2
- Management Analytics and Data Visualisation (30 Credits) – Compulsory
- Innovation, Entrepreneurship and Sustainability (30 Credits) – Compulsory
- Operations and Supply Chain Management (30 Credits) – Compulsory
- Data Ethics, Security and Privacy (15 credits) – Compulsory
- Natural Language Processing and Text Analytics (15 credits) – Compulsory
Year 3
- Business Strategy (30 Credits) – Compulsory
- Supply Chain Analytics, Simulation and Technology (30 Credits) – Compulsory
- Artificial Intelligence and Predictive Analytics (30 Credits) – Compulsory
- Business Start-Up (30 Credits) – Optional
- Applied Project (30 Credits) – Optional
- Work Internship (30 Credits) – Optional
- Consultancy Project (30 Credits) – Optional
Career Opportunities
Graduates with a degree in Business Management (Data Analytics) have a broad array of career and employability opportunities due to the increasing reliance on data-driven decision-making across various industries. Career paths and opportunities include:
- Data Analyst: This is a foundational role for graduates in this field. Data analysts interpret complex data sets to help companies make strategic decisions. They work with statistical software to analyse data and report findings to management.
- Business Intelligence Analyst: These professionals focus on analysing data to provide actionable insights that impact the company’s strategy and operations. They often use BI tools to visualise data and track performance metrics.
- Market Research Analyst: These analysts focus on understanding market conditions to determine potential sales of a product or service. They analyse demographic data, consumer preferences, and buying habits to help companies market their products effectively.
- Customer Insights Analyst: This role focuses on analysing customer data to understand behaviour, preferences, and needs to enhance customer experiences and drive strategic marketing decisions.
- Operations Analyst: In this role, analysts focus on improving operational efficiency by analysing internal processes, workflows, and data. They recommend changes to procedures, staffing, and technologies to optimise organisational performance.
- Risk Management Analyst: These analysts use data analytics to identify, analyse, and mitigate risks in business operations and strategy.
- Supply Chain Analyst: Analysing data across the supply chain to improve logistics, reduce costs, and enhance efficiency. This role is crucial in manufacturing, retail, and many other industries.
- Human Resources Analyst: Utilising data analytics in HR to help with recruitment, performance management, and employee retention strategies.
- Consultant in Data Analytics: With experience, business management (Data Analytics) graduates can work as consultants, providing expert advice to organisations on data strategies, implementing new data systems, and optimising data usage to achieve business goals.
- Data Scientist: For those who go on to develop advanced technical and analytical skills, the data scientist role involves more complex data modelling and predictive analytics. This position typically requires strong programming