Department of Data Science:

Overview

Businesses and other organisations worldwide are accumulating enormous quantities of data for market research, disaster prediction, investment analysis, manufacturing and sales, customer management and behaviour analysis, security intelligence, policy development, artificial intelligence, healthcare development, among other applications. However, a widespread shortage of professionals with knowledge on how to harvest intelligence from these data persists. This in-demand group of professionals are data scientists with comprehensive analytical and technical skills that cover all aspects of handling and analysing data. By deriving key insights from data, they will be driving the decision-making of the future, supported by interdisciplinary teams. 

This curriculum is geared towards imbuing undergraduate students of Data Science with key competencies in Computational and Statistical Thinking; Mathematical Foundations; Model Building and Assessment; Data Curation, Knowledge Transference, Analytics, and Information Management.

Philosophy

The philosophy of the programme is to equip Data Science students with the foundations, methods, and implications of data science that extracts knowledge from data using techniques and theories from mathematics, statistics, computing, and information technology.

Objectives: The objectives of the B.Sc. Data Science programme are to:

1. provide students with the requisite skills needed to analyse real life problems that are computationally intensive and independently develop effective data-driven solutions for them;
2. imbibe students with the skills required to play significant roles in the four A’s of data:

architecture, acquisition, analysis and archiving; making them qualified for specialist Data Science jobs in the industry;

3. provide students with the necessary training and competency to dig out hidden information in the massive data of business, government, healthcare, schools, and other areas of data engineering, big data and data analytics; and
4. train students on integrating data-driven Information Technology solutions and business processes to meet the information needs of businesses and other organisations, enabling them to achieve their objectives in an effective, efficient way.

Admission requirements

4 Year Degree Programme

In addition to appropriate UTME-Score, a candidate must possess five Senior Secondary  Certificate (SSC)-credits passes including English Language, Mathematics, Physics and any other relevant Science subjects in not more than two sittings. 

3 Year Degree Programme:  

Direct Entry

A minimum of a credit at the University/National Diploma or NCE with other five Senior Secondary Certificate (SSC) credit passes in relevant Science subjects three of which must be in English Language, Mathematics, Physics.