College of Science and Computing
Data Science
Wellspring University offers a Bachelor of Science (B.Sc.) program in Data Science, which is typically a four-year (full-time) program designed to equip students with the necessary skills to analyze complex data and extract meaningful insights for decision-making.
📚 Programme Overview and Curriculum Focus
The B.Sc. Data Science program aims to provide a solid foundation that blends strong theoretical knowledge with practical, hands-on application in the rapidly evolving field of data.
The curriculum for Data Science is generally covers core areas essential for a career in the field, including:
Core Programming:
Proficiency in languages like Python and R.
Statistical Analysis & Modeling:
Deep understanding of statistical methods and machine learning algorithms.
Data Management:
Working with databases (e.g., SQL) and big data technologies.
Data Visualization:
Techniques for presenting data findings clearly and effectively.
Machine Learning and AI:
Principles and applications of artificial intelligence.
Data Mining:
Methods for discovering patterns in large datasets.
General Curriculum Structured
The curriculum is structured to incorporate the latest industry trends and best practices, ensuring graduates are globally competitive.
UTME & DE
🔑 Admission Requirements
Wellspring University admits qualified candidates through the Unified Tertiary Matriculation Examination (UTME) and Direct Entry (DE) channels.
1. UTME Entry (100-Level)
1. UTME Entry (100-Level)
- O’ Level Subjects: Candidates must have a minimum of five (5) credit passes in not more than two sittings in the Senior Secondary School Certificate Examination (SSCE) or its equivalent (WAEC, NECO, NABTEB). These subjects must include:
- English Language
- Mathematics
- Economics
- And any other two (2) relevant subjects from the Social Science (Geography, Government), Commercial (Accounting, Commerce, etc.), or Science (Agricultural Science, Biology, Computer Studies, Data Processing) categories.
- Note: This requirement, derived from the Department of Data Science’s page, emphasizes Economics, placing it under the College of Social and Management Sciences (CSMS) structure, unlike other programs like Computer Science which require Physics and Chemistry for the College of Science and Computing.
- UTME Subject Combination:
- English Language
- Mathematics
- Economics
- And any other subject from the Social Science, Commercial, or Science categories.
- UTME Score: Candidates must satisfy the minimum JAMB cut-off score as determined for the year of admission.
2. Direct Entry (DE) Admission (200-Level)
2. Direct Entry (DE) Admission (200-Level)
Candidates must meet the O’ Level requirements (as listed above) in addition to one of the following:
- A/Levels: Minimum of two Advanced Level passes in GCE/IJMB/JUPEB or its recognized equivalent.
- OND/HND: Ordinary National Diploma (OND) or Higher National Diploma (HND) from a recognized institution in Computer Science, Economics, Statistics, or other related disciplines.
- NCE: Nigeria Certificate of Education (NCE).
💰 Approximate Annual Tuition (Based on B.Sc. Economics)
Wellspring University admits qualified candidates through the Unified Tertiary Matriculation Examination (UTME) and Direct Entry (DE) channels.
| Level | Estimated Annual Tuition Fee (₦) |
| 100-Level | ₦600,000 |
| 200-Level | ₦ |
| 300-Level | ₦ |
| 400-Level | ₦ |
600
Details on Tuition & Fees
🚀 Career Opportunities
A B.Sc. in Data Science prepares graduates for one of the world's fastest-growing and most in-demand professions. Graduates are equipped with the analytical and technical skills to work across virtually every sector.
Potential career paths include:
- Data Scientist: Building predictive models and machine learning algorithms.
- Data Analyst: Collecting, processing, and performing statistical analyses on datasets.
- Business Intelligence (BI) Analyst: Using data to inform business strategy and operational efficiency.
- Machine Learning Engineer: Designing and implementing AI systems.
- Financial/Economic Analyst: Applying data skills in finance and economic forecasting.
- Data Consultant: Advising organizations on data strategy and implementation.