UNN School of Computer and Data Science


Year Established

2020


Staff Strength

5


Platform Courses

3



About this School



The field of computing keeps growing at a rapid pace. Basic computer skills are no longer enough. Today, there is a huge demand for ever more complex, smart and robust computer applications. For one to take advantage of these emerging computer technologies their is need for adequate knowledge of digital computing far beyond the fundamentals.

 

The University of Nigeria undertands this and decided to take a step further in perparing her students for the digital world of tomorrow. The school offers students key courses in emerging and advanced areas of digital computing such as Artificial Inteligence, Cryptocurrencies, Machine learning, Digital forex trading and so much more. These courses, taught by professionals in their respective fields are packed with knowledge. They have been specially crafted to make grasping these advanced topics much easier under a very short period of time. 






All School Courses


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UNN Online Course

Forex Trading

UNN School of Computer and Data Science

Forex trading is the means through which one currency is changed into another. When trading Forex, you are always trading a currency pair – selling one currency while simultaneously buying another to enable you to build yourself an unlimited income.

Start Time: Started

UNN Online Course

Cryptocurrency

UNN School of Computer and Data Science

A cryptocurrency is a digital or virtual currency designed to work as a medium of exchange. It uses cryptography to secure and verify transactions as well as to control the creation of new units of a particular cryptocurrency.

Start Time: Started

UNN Online Course

Artificial Intelligence

UNN School of Computer and Data Science

Artificial Intelligence is a field of computer science that works on machine to learn from its experience and simulate intelligence to perform human like task. This certification course involves in-depth knowledge on various researches.

Start Time: Started