The BSc in Data Science and Business Analytics prepares students to turn data into business insight and better decisions. The programme combines strong foundations in business, economics, mathematics, statistics, econometrics, programming, analytics, and machine learning. Students’ progress from core business and quantitative courses in the first two years to advanced modelling, applied analytics, market research, and machine learning in the later years. The curriculum also includes an Internship and Industry Project capstone, giving students supervised workplace exposure and the chance to solve real industry problems using data-driven methods. This makes the degree especially suitable for students who want a business-focused analytics education rather than a purely technical computer science pathway. It is designed for careers in analytics, business intelligence, consulting, data-informed strategy, and digital transformation. The University of Dubai highlights strong business-school quality standards through CAA licensure and AACSB accreditation, and in dual-degree pathway with LSE and UoL.

	Requirement Category	Details
University of Dubai First Year Entry	Secondary School	Completion of secondary school or equivalent qualification, subject to UD undergraduate admission requirements
	English Proficiency	IELTS 5.5 (or equivalent grade in TOEFL, EmSAT, or approved equivalent)
	Mathematics	Minimum of 75 (or equivalent) in final year secondary school Mathematics
	Documentation	Submission of required official academic and identification documents as per UD admission procedures
	Programme Recommendation	Applicants should be comfortable with quantitative study and analytical problem-solving (mathematics, statistics, and analytics components)
University of London Dual-Degree Pathway — Year 2 Enrolment	UD Admission	Fulfilment of initial UD admission requirements (above)
	Year 1 Performance	Completion of Year 1 with a minimum GPA of 3.0
	English Proficiency	IELTS 5.5 or equivalent
	Business Mathematics	B− in Business Mathematics (UD First Year course)
	Statistical Analysis	B− in Statistical Analysis (UD First Year course)
Final Decision	Eligibility Review	Based on eligibility review by LSE and UoL before enrolment for Year 2 courses

This programme is for students who enjoy working with numbers, evidence, and real business problems, and who want to build skills in analytics, data interpretation, modelling, and decision-making. It suits learners looking for a business-oriented data degree rather than a purely technical computing route. It is especially well suited to students interested in careers in business analytics, data analysis, consulting, market research, fintech, strategy, and digital transformation.

• Data Analyst
• Business Analyst
• Business Intelligence Analyst
• Junior Data Scientist
• Market Research Analyst
• Risk Analyst
• Strategy Analyst
• Operations Analyst
• Analytics Consultant
• Digital Transformation Analyst
• Product Analyst
• Reporting and Insights Analyst

Entry-Level Salary (AED/month)	10,000 – 15,000 AED
Mid-Level Salary (AED/month)	16,000 – 26,000 AED
Senior-Level Salary (AED/month)	30,000+ AED
Source / Reference	Level.Fyi – Zabeel Institute – AlifByte - PayScale