BA (Hons) Business Management (Data Analytics) (Subject to validation)
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The BA (Hons) Business Management (Data Analytics) program at LSBU - UAE combines business management principles with essential data science skills. This program prepares graduates to make data-driven decisions and excel in various sectors, including technology, finance, marketing, and consultancy.
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Admissions are now open for September 2025 intake.
Prepare for a career in business management or data analytics, where data-driven decision-making and business strategies are key.
Modules
Introduction to Business Management
An overview of business principles, including organizational structure, management functions, and leadership.
Fundamentals of Data Science
Introduction to data science concepts, focusing on data collection, analysis, and basic machine learning.
Mathematics for Business & Data Science
Covers the mathematical tools necessary for data analysis and business problem-solving.
Programming for Business Applications (Python)
Learn Python programming to build data-driven business applications.
Principles of Marketing and Strategy
Examines marketing strategies and business models, with a focus on applying data to marketing decisions.
Data Visualization and Interpretation
Learn to present data visually and interpret findings to drive business decisions.
Statistics for Business & Data Science
Study statistical methods to analyze business data and support decision-making.
Business Intelligence and Analytics Tools
Gain proficiency in analytics tools (e.g., Tableau, Power BI) to turn data into actionable insights.
Operations Management
Explore the processes that drive business operations and how data analysis can optimize efficiency.
Data Management & Databases
Learn how to manage large datasets and use databases for business analytics.
Machine Learning for Business
Apply machine learning techniques to real-world business problems, improving decision-making.
Data-Driven Marketing & Consumer Analytics
Focus on using data to understand consumer behavior and optimize marketing strategies.
Financial Analytics & Risk Management
Analyze financial data to assess risk, forecast trends, and make data-driven investment decisions.
Big Data Technologies
Explore the tools and technologies used to manage and analyze large datasets, including Hadoop and Spark.
Strategic Management
Learn how to use data analysis to guide long-term business strategy and organizational decision-making.
Academic Qualifications:
- High School: Minimum aggregate of 55% from any recognized board of curriculum.
- Minimum Requirement: 60% in English in either Bachelor's or High School.
- Alternative: Equivalent pass in an internal test in English.
- Exceptional Candidates: Significant work experience in any relevant field.
- Minimum Experience: At least 3 years of work experience
Registration Fee – AED 1500/-
Tuition Fee – AED 35,000/-
Scholarship Inquiry
Key Highlights
- Unique Combination: Merges business management with advanced data science techniques.
- Practical Experience: Hands-on learning through case studies, real-world data projects, and internships.
- Global Perspective: Exposure to business practices and data science trends, with a focus on both local and global markets.
- Industry-Relevant Curriculum: Focuses on data-driven decision-making, business strategy, and technological innovation.
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Skills
Make a lasting impact with the essential skills valued by employers.
You’ll develop a strong understanding of:
- Data Analysis: Proficient in analyzing large datasets using tools like Python, R, and SQL.
- Programming: Strong foundation in programming languages like Python and SQL for business applications.
- Data Visualization: Expertise in creating meaningful visual representations of data using tools like Tableau and Power BI.
- Machine Learning: Knowledge of machine learning algorithms to build predictive models for business insights.
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Students will master data analysis, programming (Python, SQL), and machine learning. They will also develop the ability to communicate data insights effectively, manage data-driven projects, and understand data governance and privacy regulations.
Learning
Acquire the key skills that employers value most.
With our BSc Business Management in Data Science, you'll gain a comprehensive understanding of business operations in a data-driven world and explore key areas such as data analysis, business strategy, and decision-making using advanced data science techniques.
- Data-Driven Decision-Making
- Ethical Data Management
By the end of the BSc Business Management in Data Science course, you will be confident in your ability to leverage data to drive business decisions, equipped with the skills to address complex challenges ethically, and have a deep understanding of how data impacts the global economy.
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Graduates will apply data-driven decision-making in business, develop leadership skills for managing digital transformations, and gain proficiency in business analytics tools.
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Assessment
Experience assessments designed to prepare you for success beyond university.
You’ll be evaluated through a mix of theoretical and practical methods that mirror real-world scenarios. These include coursework, reports, online tests, and exams.
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Our assessments reflect real-world challenges, combining coursework, reports, online tests, and exams to build critical thinking, teamwork, and problem-solving skills. Feedback ensures continuous improvement for career success.
Career
Earn a degree that drives your career forward.
With our BSc Business Management in Data Science, you'll gain a comprehensive understanding of business organizations in a digital landscape and develop expertise in areas such as data-driven decision-making, business analytics, machine learning, and strategic management.
With professional accreditation, our BSc Business Management in Data Science degree opens doors to careers in data analytics, business intelligence, finance, technology, and marketing.
- Data Analyst
- Data Scientist
- Financial Analyst
- Marketing Analytics Manager
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Graduates can pursue careers in data analysis, business intelligence, data science, and financial analytics across industries like finance, healthcare, and technology.
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