Academic Overview
The Bachelor Degree in Digital Economics and Statistics is an interdisciplinary programme designed to equip students with the knowledge and practical skills required to apply economic theory, statistical analysis, mathematics, data analytics, digital technologies, and quantitative methods to support data-driven decision-making in government, business, research institutions, and international organizations.
Admission & Eligibility Requirements
HOLDERS OF FORM 6 (ADVANCED CERTIFICATE OF SECONDARY EDUCATION) AND OFP PROGRAMME.
Two principal passes in the following subjects: Advanced Mathematics, Physics, Chemistry, Biology, Accountancy, Agriculture, Geography, Economics, Computers, Commerce, Business Studies, Education, Food & Nutrition and Computer Science. If one of the principal passes is not in Advanced Mathematics, a Subsidiary pass in Basic Applied Mathematics or a minimum of ‘’D’’ grade in Mathematics at O-Level is required or Foundation Programme of the OUT with a minimum GPA of 3.0.
HOLDERS OF ORDINARY DIPLOMA/EQUIVALENT QUALIFICATIONS
Diploma or Full Technician Certificate (FTC) in Statistics, Computing and Information Technology, Computer Science, Information Technology, Accounting, Transport Finance, Taxation, Banking and Finance, Custom and Tax Administration, Business Information Technology, Procurement, Insurance and Risk Management, Business Management, Business Administration, Development Planning, Community Development, Engineering, Education (Mathematics, Biology, Physics, Chemistry, Information and Communication Technology, Geography or Agriculture), Science and Technology, Health related programmes or Economics with an average of “B’’ or a minimum GPA of 3.0
Research Centre
Career Scope
Graduates of this programme can pursue careers in government institutions, financial organizations, research institutions, technology companies, international organizations, and private businesses. They may work as Digital Economist, Economist, Statistician, Data Analyst, Data Scientist, Business Intelligence Analyst, Financial Analyst, Planning Officer, Data, Visualization Specialist, Consultant in Digital Economy and Data Analytics.