Licence en science et analyse des données
Start Date:
29 September 2024
Duration
4 years
Fees:
750 $
Program Overview
The Bachelor of Science in Data Science & Analytics at Al-Muhibbah Open University is a cutting-edge undergraduate program designed to prepare students for the rapidly evolving field of data science. Launched in the 2024/2025 academic year, the program equips students with the skills to extract, analyze, and interpret large datasets, transforming raw data into actionable insights. Through a blend of theoretical foundations and practical applications, the program focuses on statistical analysis, machine learning, data visualization, and predictive modeling. Supported by experienced faculty, the program emphasizes academic excellence and professional growth, ensuring graduates are well-prepared for diverse data-driven roles.
Program Objectives
The B.Sc. Data Science & Analytics program aims to:
- Develop Core Competencies: Provide a solid grounding in statistical methods, machine learning algorithms, and data management techniques.
- Enhance Analytical Skills: Cultivate the ability to analyze complex datasets and derive meaningful insights to support decision-making processes.
- Promote Technological Proficiency: Equip students with hands-on experience in the latest data analysis tools, programming languages, and software used in the industry.
- Foster Ethical Data Use: Instill a strong sense of ethical responsibility in the management and use of data, emphasizing privacy, security, and integrity.
- Prepare for Advanced Studies: Offer a robust foundation for further studies or certifications in specialized areas of data science and analytics.
Career Opportunities
Graduates of the B.Sc. Data Science & Analytics program are prepared for a wide range of careers, including:
- Data Scientist
- Data Analyst
- Machine Learning Engineer
- Business Intelligence Analyst
- Data Engineer
- Quantitative Analyst
Curriculum
Program Structure:
- Total Credits Required: 130 credits (Standard Entry); 95 credits (Direct Entry)
- Duration: 4 years (Standard Entry); 3 years (Direct Entry)
- Minimum Credit Load per Semester: 15 credits
Key Courses
- Introduction to Data Science: Foundations of data science, including data collection, cleaning, and analysis.
- Machine Learning: Study of algorithms and models used for predictive analysis and pattern recognition.
- Data Visualization: Techniques for representing data visually to communicate insights effectively.
- Statistical Analysis: Application of statistical methods to interpret and analyze complex datasets.
- Big Data Technologies: Exploration of tools and platforms used to handle large-scale data processing.
Why Choose This Program
- Comprehensive Curriculum: Offers a well-rounded education in both theoretical and practical aspects of data science and analytics.
- Industry-Relevant Skills: Provides students with the skills and tools needed to thrive in data-driven roles across various sectors.
- Hands-On Experience: Emphasizes experiential learning through real-world data projects, internships, and case studies.
- Ethical Focus: Strong commitment to ethical practices in data management and analysis.
- Professional Development: Courses designed to enhance problem-solving abilities, technical expertise, and career advancement.
