Data Science For Economics (MBA)
Programme Info
The Executive Master of Business Administration (EMBA) programme in Data Science for Economics deals with using modern tools and techniques on vast volumes of data “Big Data,” to find unseen patterns, derive meaningful information, and make economic and business decisions. It trains and equips individuals on how to use data science for economics skills in managing big data, grow their businesses, predict returns on the market, and increase customer satisfaction.
Objectives
The EMBA programme in Data Science for Economics seeks to:
- Develop skills in handling big data and making predictions from such massive data.
- Promote programming skills in softwares like R, etc., and applying such knowledge to businesses.
- Emphasise another dimension to solving the problem of scarcity and increasing customer satisfaction.
Scope
The EMBA programme in Data Science for Economics cuts across various areas in business and industry, and is particularly relevant for the fields of Economics, Statistics and Mathematics. Students will complete relevant courses in business related areas in addition to project work in their areas of interest.
Entry Requirements
Candidates for the EMBA programme in Data Science for Economics shall have the following:
- Minimum of one year working experience in the industry.
- Bachelors’ degree or Higher National Diploma (HND) in any relevant discipline.
Admission is twice in a year: April and October.
Mode of Study
The mode of study for the EMBA programme in Data Science for Economics shall be by course work, organisational case studies, annual attendance of the School’s international conference, and case project report.
Duration
The duration for the Executive MBA programme in Data Science for Economics shall be four (4) semesters. This is a weekend programme which can be one (1) contact per month over a 5 month period for each semester.
Employment Opportunities
The EMBA programme in Data Science for Economics prepares students to their improve professionalism and data analytical skills for business practices and entrepreneurship development. The programme equally trains them to fill middle and senior level management positions in business, commerce, industry, and government. It is particularly relevant for careers in the financial, marketing and technological services sectors. With their education and training, they can set up their own businesses since the programme also emphasises self-employment and consultancy.