Diploma in AI and Machine Learning
The Diploma in AI and Machine Learning is a comprehensive two semester programme designed to equip students with the necessary skills and knowledge to thrive in the rapidly evolving field of artificial intelligence. Students will learn the fundamentals of machine learning techniques, data analysis, and programming languages commonly used in AI. The programme will also incorporate hands-on projects and real-world case studies to provide students with practical experience in applying AI and machine learning concepts.
- Introduce students to the key concepts and techniques of artificial intelligence and machine learning.
- Develop students’ programming skills in languages such as Python, R, and Java for building AI applications.
- Equip students with the ability to analyze and interpret data, and use it to make informed decisions.
- Provide students with practical experience through hands-on projects and case studies to apply their knowledge in real-world scenarios.
- Prepare students for the growing job market in AI and machine learning by providing them with the necessary skills and knowledge in this field.
21st Century Skills
Among the 21st Century skills for the programme are:
- creativity;
- information literacy;
- flexibility;
- social skills;
- problem solving;
- innovation skills; and
- critical thinking.
For candidate to be admitted into this programme, he/she must have a minimum of three credit passes in any subjects of SSCE/High School Certificate.
Iconic University charges modest fees that give learners the chance to pay per semester only. Nigerian candidates seeking admission will pay an application fee of N5,000 and $10 would be paid by international applicants.
Semester Fees:
Semester Fees are charged based on the human development index (HDI) of country of residence.
Nigerians |
|
Very High Development Countries |
$800 |
High Development Countries |
$600 |
Medium Development Countries |
$400 |
Low Development Countries |
$300
|
Other countries |
$300
|
Click here to see list of countries based on HDI
Note: This schedule is only applicable to Spring Semester 2024/’25 academic session.