University of Brunei Darussalam

What you'll study

The programme title indicates a blend of finance and data-analytics topics. The publicly available course page identifies the award as a Finance (Data Analytics) degree but does not list individual modules; students can expect study that bridges financial theory and data analysis methods relevant to the finance domain.

Entry requirements

• English proficiency: at least Credit C6 in GCE O Level English, or B in IGCSE English as a Second Language, or IELTS 6.0, or TOEFL PBT 550, or TOEFL iBT 60, or Band B2 in the UBD English Proficiency Test.
• Mathematics: at least Credit C6 in GCE O Level Mathematics or Grade B in IGCSE Mathematics. HND/Advanced Diploma candidates who passed a statistics or mathematics course with Merit or above may have the mathematics requirement considered met.
• GCE A Level: pre-2017 tariff minimums of 160 points (two A Levels) or 200 points (three A Levels) in relevant English‑medium subjects; UCAS Tariff equivalents of 64 points (two A Levels) or 80 points (three A Levels). Relevant subjects include Computer Science, Business Studies, Accounting or equivalent.
• International Baccalaureate: diploma or certificate with minimum 24 points, including at least 5 points in two relevant Higher Level subjects (or a 5,5,4 pattern for three Higher Level subjects) in areas such as Computer Science, Business Studies or Accounting.
• HND/Advanced Diploma: relevant HND or equivalent recognised by Senate may be accepted.
• Other qualifications: applicants with the first year of a bachelor degree from institutions recognised by Senate will be considered case-by-case.
• Work experience pathway: applicants with at least five years’ related work experience plus at least one GCE A Level pass or equivalent in a relevant subject may be considered.
• Meeting these entry criteria does not guarantee admission; places are limited and the Faculty may require entrance tests or interviews to assess suitability.

Career prospects

The programme prepares graduates for roles where financial knowledge and data-analytics capability intersect. Typical destinations include positions in corporate finance, financial analysis, risk assessment, fintech-related roles or any occupation that requires interpreting financial datasets; precise outcomes depend on individual electives, internships and further qualifications.

Scholarships & funding angle (general)

The course page references Undergraduate Fees & Funding and scholarship pages at the university; prospective applicants should consult the university’s central fees, funding and scholarships information for details on available support, eligibility and application procedures.