Al-Muhibbah Open University (AOU) is licensed by the
National Universities Commission (NUC)
Al-Muhibbah Open University (AOU) is licensed by the
National Universities Commission (NUC)
Al-Muhibbah Open University (AOU) is licensed by the
National Universities Commission (NUC)
Al-Muhibbah Open University (AOU) is licensed by the
National Universities Commission (NUC)
Al-Muhibbah Open University (AOU) is licensed by the
National Universities Commission (NUC)
Al-Muhibbah Open University (AOU) is licensed by the
National Universities Commission (NUC)
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Qualification: B. Sc. Data Science
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Faculty: Computing
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Duration: 4 Years (8 Semesters)
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Admission: 100L & Direct Entry
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Tuition: ₦300,000 Per Session
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Recognition: NUC Approved
Why Choose Data Science at AOU?
From healthcare and finance to agriculture, education, and artificial intelligence, organisations rely on data to solve problems, anticipate trends, and make informed decisions. Data scientists combine analytical thinking with technology to uncover insights that drive innovation and create measurable impact.
At Al-Muhibbah Open University, you'll develop the technical knowledge, statistical understanding, and practical experience needed to interpret complex data, build predictive models, and solve real-world challenges with confidence.
Is This Programme Right for You?
This programme is ideal for students who enjoy analysing information, solving complex problems, and using evidence to answer important questions.
Analyse. Interpret. Influence.
Our curriculum combines mathematics, computing, and statistical analysis with practical learning experiences that prepare you to transform raw information into valuable insight for organisations, governments, and communities.
What You'll Learn
What You’ll Learn
Develop the analytical, statistical and technical expertise to transform data into actionable insights that drive smarter decisions. You’ll learn how to collect, manage, analyse and visualise data while building intelligent solutions using modern data science and artificial intelligence tools.
- Data Science Fundamentals
- Statistics and Probability
- Programming for Data Science
- Data Analytics and Visualisation
- Database Design and Big Data Management
- Machine Learning and Artificial Intelligence
- Predictive Analytics
- Data Mining and Business Intelligence
- Cloud Computing for Data Analytics
- Data Ethics, Privacy and Governance
- Research Methods and Data Modelling
- Business Decision Analytics
How You’ll Learn
Our flexible online learning model combines academic excellence with hands-on projects, enabling you to develop practical data science skills using modern tools and real-world datasets.
- Interactive online lectures led by experienced academics and data professionals.
- Practical coding labs and data analysis exercises.
- Real-world projects using industry-inspired datasets.
- Hands-on training in data visualisation and machine learning techniques.
- Live virtual tutorials, workshops and collaborative learning sessions.
- Continuous assessments with personalised academic feedback.
- Access to digital libraries, cloud-based analytics platforms and professional software tools.
- A capstone project where you’ll solve a real-world business or research problem using data.
Core Curriculum Topics
Statistical Theory
- Theory of Statistical Inference, Advanced Probability Theory, Foundations of Statistics
Statistical Modeling
- Linear Models and Regression Generalized Linear Models, Multivariate Analysis.
Computational Statistics
- Statistical Programming (e.g., R and Python), Statistical Computing, Data Management
Applied Methods
- Time Series Analysis, Design and Analysis of Experiments, Sampling Theory
Modern Techniques
- Statistical Machine Learning, Advanced Statistical Learning, Data Science Methods
Your Learning Journey
Year One
Build Your Analytical Foundation
Develop core skills in mathematics, statistics, programming and computing while learning how data shapes decision-making across industries.
Year Two
Master Data Management
Study databases, data visualisation, statistical analysis and programming while learning how to collect, organise and interpret complex datasets.
Year Three
Discover Intelligent Insights
Explore machine learning, artificial intelligence, predictive analytics and big data technologies through practical projects and real-world applications.
Year Four
Lead with Data
Complete advanced analytics projects and a capstone research project, graduating with a professional portfolio and the expertise to transform data into strategic insights that drive innovation and organisational success.
Career Pathways
A B.Sc. Data Science & Analytics prepares you for high-demand careers where data drives innovation, strategy and business growth. Graduates develop the technical, analytical and problem-solving skills needed to uncover insights, build intelligent systems and support data-driven decision-making.
Potential Career Paths
- Data Scientist
- Data Analyst
- Business Intelligence Analyst
- Machine Learning Engineer
- AI Engineer
- Data Engineer
- Business Analyst
- Quantitative Analyst
- Predictive Analytics Specialist
- Big Data Engineer
- Data Visualisation Specialist
- Research Data Analyst
- Marketing Analytics Specialist
- Financial Data Analyst
- Healthcare Data Analyst
- Risk Analyst
- Product Analyst
- Cloud Data Engineer
- Analytics Consultant
- Technology Entrepreneur
Industries You’ll Be Ready to Work In
- Technology Companies
- Banking and Financial Services
- Healthcare and HealthTech
- Telecommunications
- Government and Public Sector
- E-commerce and Retail
- Manufacturing
- Energy and Utilities
- Artificial Intelligence Companies
- Consulting Firms
- Research Institutions
- International Organisations
Turn Data into Intelligent Decisions.
Whether you aspire to build AI-powered solutions, uncover business insights, solve complex problems or lead data-driven innovation, the B.Sc. Data Science & Analytics programme at Al-Muhibbah Open University equips you with the technical expertise, analytical thinking and practical experience to thrive in the data-driven economy.
Do I need advanced mathematics before applying?
No. The programme develops your mathematical, statistical, and analytical skills progressively from foundational concepts.
Can I complete the programme entirely online?
Will I work with real datasets?
Yes. Throughout the programme, you’ll analyse practical datasets, complete analytical projects, and apply industry-standard tools used by data professionals.
Can Data Science graduates work internationally?
Yes. Data science is one of the world’s fastest-growing professions, creating opportunities across virtually every industry and region.
Is the programme recognised?
Yes. Al-Muhibbah Open University is licensed by the National Universities Commission (NUC), and its programmes are delivered in accordance with applicable regulatory standards.
What makes AOU's Data Science programme different?
Our programme combines strong analytical foundations, modern computing technologies, practical projects, and flexible online learning to prepare graduates for successful careers in today’s data-driven economy.