Bachelor of Science (Hons) in Business Intelligence System
Key facts
Qualification | Pre-U (Foundation, A-level, etc) |
Study mode | Full-time, Online |
Durasi | 1 year |
Intakes | Juli, Agustus |
Tuition (Local students) | Rp 60.409.821 |
Tuition (Foreign students) | Data not available |
Subjects
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Teknik
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Teknik Elektro
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Teknik Elektronika
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Teknik Sipil
Durasi
1 year
Tuition fees
Description | Local students | Foreign students |
---|---|---|
Tuition fee | Rp 60.409.821 | Data not available |
Miscellaneous fees | Data not available | Data not available |
Total estimated cost of attendance | Rp 60.409.821 | Data not available |
Estimated cost per year | Rp 60.409.821 | Data not available |
Estimated cost as reported by the institution. There may be additional administrative fees. Please contact for the latest information.
Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.
Admissions
Intakes
Entry Requirements
- Ijazah SMA dengan nilai rata-rata 7 – 9 ATAU
- Kualifikasi setara lainnya yang diakui oleh Pemerintahan Malaysia.
Mahasiswa dengan Diploma yang diakui dalam bidang terkait akan diberikan proses lebih lanjut ke program gelar.
Mahasiswa Internasional
Bagi yang bukan penduduk Malaysia, dimohon untuk merujuk ke Badan Kualifikasi Malaysia (Malaysian Qualification Agency’s (MQA)), Daftar Kualifikasi Luar Negeri dan yang setara dengan Sistem Pendidikan Malaysia (PDF) untuk mengetahui bila Anda memenuhi syarat untuk program ini.
Curriculum
- Communication Theory & Study Skills
- Fundamental of Computer System
- Mathematics for Computing
- Introduction to Business Management
- Principles of Economics
- Fundamental of Internet Technologies
- Data Mining Techniques
- Knowledge Management
- Artificial Intelligence