Bachelor of Science (B.Sc.) Data Science
Turn Data into Decisions. Transform Insight into Impact.
Every click, transaction, diagnosis, and business decision creates data. The organisations shaping the future are those that know how to transform that data into meaningful insight. The B.Sc. Data Science programme at Al-Muhibbah Open University equips you with the analytical thinking, technical expertise, and practical skills to extract knowledge from complex datasets and drive smarter decisions across industries through flexible, technology-enabled learning.
Whether you aspire to solve business challenges, advance artificial intelligence, improve healthcare, or influence public policy, you’ll graduate ready to turn information into innovation.
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Qualification: Bachelor of Science (B.Sc.)
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Faculty: Computing & Technology
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Duration: 4 Years (8 Semesters)
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Study Mode: 100% Online Learning
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Admission: 100L & Direct Entry
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Intakes: January • May • September
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Tuition: ₦300,000 Per Academic Session
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Recognition: NUC Approved
Discover the Stories Hidden in Data.
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.
Program Highlights
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.
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Enjoy analysing patterns and trends
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Think logically and critically
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Love mathematics and technology
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Want to solve real-world problems
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Enjoy discovering insights from information
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Aspire to build a career in data-driven industries
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
Build the Skills Behind Data-Driven Innovation.
Develop a powerful combination of analytical thinking, statistical knowledge, programming expertise, and artificial intelligence skills that enable you to transform complex data into meaningful insights. Throughout the programme, you’ll learn how to solve real-world problems, support smarter decision-making, and create value across today’s data-driven industries.
Data Analytics
Analyse structured and unstructured data to uncover meaningful insights.
Statistics
Apply statistical methods to understand patterns, relationships, and uncertainty.
Machine Learning
Build intelligent models capable of recognising patterns and making predictions.
Data Visualisation
Present complex information through clear, compelling visual dashboards and reports.
Programming for Data Science
Use modern programming tools to collect, clean, process, and analyse data.
Artificial Intelligence
Explore intelligent systems that automate learning and support decision-making.
Big Data Technologies
Learn how large-scale datasets are stored, processed, and analysed efficiently.
Business Intelligence
Transform organisational data into actionable insights that improve performance and strategy.
Learn by Exploring Real-World Data.
Develop your expertise through an engaging online learning experience that combines expert teaching, practical analysis, and collaborative learning to prepare you for today’s data-driven world.
Recorded Lectures
Study engaging video lessons anytime and revisit important concepts whenever you need them.
Live Virtual Classrooms
Interact with lecturers and classmates during live online sessions that encourage discussion and collaborative learning.
Practical Data Projects
Work with real-world datasets to develop analytical, visualisation, and predictive modelling skills.
Collaborative Learning
Exchange ideas, solve analytical challenges, and learn alongside a supportive community of students.
Continuous Assessment
Build confidence through quizzes, practical exercises, analytical assignments, and project-based assessments.
Digital Library
Access academic journals, research publications, datasets, and digital learning resources that enrich your studies.
Academic Support
Receive ongoing guidance from experienced lecturers, facilitators, and dedicated student support teams.
Learn Anywhere
Study seamlessly from your laptop, tablet, or smartphone whenever it fits your schedule.
Our university offers a comprehensive range of academic programs designed to inspire learning, innovation and real-world impact Each program is carefully crafted to blend theoretical knowledge with practical experience ensuring students gain the skills needed to excel in today’s competitive global environment From foundational undergraduate courses to advanced postgraduate and professional degrees our curriculum emphasizes critical thinking hands-on learning, and industry relevance With guidance from experienced faculty access to modern laboratories and opportunities for research and internships students are empowered.
Program Highlight
About Programs
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Master of Science in Statistics (24 Months)
Session: 2025 - 2026
Typical Program Structure
A 24-month M.S. Statistics program usually follows a structure split across three or four academic terms (e.g., two semesters plus a summer term, or three quarters plus a summer term).
- Duration: 24 Months (Full-Time)
- Total Credits: Varies by institution (e.g., 60-90 credits).
- Structure: Heavily focused on taught coursework and often culminates in a capstone project or dissertation completed over the summer.
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
Progress from Curiosity to Intelligent Decision-Making.
Each stage of the programme develops your analytical thinking, technical expertise, and problem-solving ability, preparing you to transform data into knowledge that informs better decisions and drives innovation.
Year One — Analytical Foundations
Build a strong foundation in mathematics, statistics, programming, and computing while developing the critical thinking skills essential for data science.
Year Two — Data Analysis
Learn how to collect, organise, clean, analyse, and interpret data using modern analytical tools and programming techniques.
Year Three — Predictive Intelligence
Explore machine learning, artificial intelligence, big data technologies, predictive modelling, and data visualisation while solving increasingly complex analytical challenges.
Year Four — Applied Data Science
Apply your expertise through practical data projects, analytical case studies, and real-world problem-solving that prepare you for industry, research, entrepreneurship, or postgraduate study.
Help Organisations Make Smarter Decisions.
Data scientists are transforming industries by turning information into competitive advantage. Whether your ambition is to improve healthcare, strengthen businesses, develop artificial intelligence, or influence policy, this programme prepares you for a future driven by data.
Learn from Experienced Educators
Our students learn from experienced academics, researchers, and data professionals committed to developing analytical thinkers capable of solving complex challenges through evidence-based decision-making.
Aliyu Ibrahim Usman
Librarian
Murtala Yusuf Forty Four
Bursar
Mrs. Ladi Ibrahim Thomas
Director of Business DevelopmentHear from Our Learning Community
Discover how students, lecturers, and data professionals are developing the analytical expertise, technical skills, and innovative mindset needed to transform information into meaningful insights that shape organisations and improve lives.
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?
Yes. Our flexible digital learning platform allows you to study from anywhere while enjoying a high-quality learning experience.
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.