- info@el-aminuniversity.edu.ng
- +2348166355895
- 2 Eastern Bypass, Minna, Niger State
Welcome to the Department of Data Science and Analytics at El-Amin University! Our program is designed to empower students with the tools and knowledge to excel in Nigeria’s data-driven future. Through a blend of theory and hands-on experience, we prepare you to harness the power of data for impactful decision-making. Join us and lead the way in data innovation
To educate and empower students with the knowledge and skills necessary to excel in a data-driven world.
To create a first-class academic department that trains the next generation of students as data scientists who will solve these grand challenges and innovate through world-class research to take advantage of these opportunities.
The Department of Data Science and Analytics at El-Amin University offers a comprehensive program designed to equip students with the analytical and technical skills required to thrive in Nigeria’s growing data-driven economy. The curriculum covers key areas such as data mining, machine learning, big data analytics, and statistical modeling. Students learn how to interpret complex datasets, generate actionable insights, and use data to inform decision-making processes across industries like finance, healthcare, and telecommunications.
The program emphasizes practical, hands-on experience through projects, internships, and collaborations with tech companies and governmental organizations. This real-world exposure ensures that students are prepared to tackle local challenges, such as optimizing resource allocation, improving public services, and driving business innovation through data. Graduates of our program are well-positioned for careers in data science, business intelligence, and analytics, contributing to Nigeria’s digital transformation.
The Data Science programme is to provide students with a strong foundation in mathematics, statistics, computing, and information technology to extract knowledge from data. The objectives of the programme include equipping students with the skills to analyze complex real-life problems, play significant roles in data architecture, acquisition, analysis, and archiving, and uncover hidden information in various sectors.
The programme aims to train students to integrate data-driven IT solutions with business processes to meet the information needs of organizations effectively and efficiently. The rational and justification of the programme focus on addressing current challenges in Data Science, ensuring relevance to national needs, and preparing students to lead in the analytical world locally and internationally.
The Data Science and Analytics programme is designed to provide students with a strong foundation in data-driven decision-making, statistical analysis, and computational techniques for extracting insights from complex datasets. The first year introduces fundamental courses in mathematics, statistics, and programming, while subsequent years focus on advanced topics such as machine learning, data visualization, big data, and predictive analytics, preparing students to solve real-world problems through data analysis by their final year.
The Data Science and Analytics programme aims to equip students with the technical skills and analytical mindset necessary to collect, process, and interpret large datasets, enabling them to drive innovation in industries such as finance, healthcare, marketing, and technology. It prepares graduates for careers in data science, business intelligence, analytics consulting, and machine learning engineering, or for entrepreneurial roles in data-centric businesses.
Objectives of the Data Science and Analytics degree programme include providing students with a comprehensive understanding of data analysis techniques and tools, fostering problem-solving abilities through the application of statistical models and machine learning algorithms, developing practical skills in programming languages like Python and R, data management, and visualization, and cultivating transferable skills valuable in various industries. The programme also prepares students for advanced studies in specialized fields like artificial intelligence or data engineering and emphasizes the ethical considerations of data privacy and security. Unique aspects of the programme include fostering proficiency in handling big data technologies, encouraging hands-on experience through internships and capstone projects, and equipping graduates with the critical knowledge and tools needed to thrive in the fast-growing field of data science and analytics.
| Programme | UTME | Direct Entry | Remarks |
|---|---|---|---|
|
B.A Arabic |
Five credits at SSCE (or its equivalent) in Arabic, Islamic studies, Hausa, and two other Arts/Social Science subjects. |
Two ‘A’ level credit passes in relevant subjects one of which should be Arabic in NCE or ND with at least a merit level. |
UTME subjects are: Arabic, Islamic Studies, Hausa, and English subjects. |
|
B.A. Islamic Studies |
Five credit passes at SSCE (or its equivalent) in Arabic, Islamic studies, Hausa, and two other Arts/Social Science subjects. |
(a)Two ‘A’ level passes in relevant subjects. One of the advanced level subjects should be Islamic Studies. NCE or ND at merit level. |
subjects are: Arabic, Islamic Studies, Hausa, and English subjects. |
