The Diploma in Data Science at Iconic University is a comprehensive and intensive two-semester programme designed to equip individuals with the necessary skills and knowledge to succeed in the rapidly growing field of data science. Through a combination of theoretical and practical courses, students will develop a strong foundation in data analysis, machine learning, and statistical programming. This programme aims to prepare students for careers in data-driven industries such as finance, marketing, and healthcare. Upon completion of this diploma, students will have the technical expertise to collect, analyze, and interpret large datasets, as well as the ability to communicate their findings effectively to stakeholders.

1. To provide students with a solid understanding of fundamental concepts and theories in data science, including data mining and machine learning techniques.
2. To equip students with practical skills in data manipulation, visualization, and analysis using industry-standard tools and software.
3. To develop students’ critical thinking and problem-solving abilities in the context of real-world data challenges.
4. To train students to effectively communicate complex data insights and findings to both technical and non-technical audiences.
5. To prepare students for successful careers in the data science field by providing them with hands-on experience and exposure to current industry practices and trends.

21st Century Skills

Among the 21st Century skills for the programme are:

1. creativity;
2. information literacy;
3. flexibility;
4. social skills;
5. problem solving;
6. innovation skills; and
7. 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. 

Click here to see list of countries based on HDI

Note: This schedule is only applicable to Spring Semester 2024/’25 academic session.