Students
مصاريف
تاريخ البدء
2027-01-01
وسيلة الدراسة
مدة
حقائق البرنامج
تفاصيل البرنامج
درجة
الدورات
تخصص رئيسي
Data Analytics | Information Technology
التخصص
الأعمال والإدارة | علوم الكمبيوتر وتكنولوجيا المعلومات
لغة الدورة
إنجليزي
دفعات
تاريخ بدء البرنامجآخر موعد للتسجيل
2026-01-01-
2027-01-01-
2028-01-01-
عن البرنامج

نظرة عامة على البرنامج


ICT394 - Business Intelligence Application Development

Overview

To view overview information, please note that this section is dependent on selecting a specific offering.


Academic Contacts

To view unit coordinator information, please note that this section is dependent on selecting a specific offering.


Offerings

The following offerings are available for ICT394 - Business Intelligence Application Development:


  • DUBAI-ISC-TJD-FACE2FACE
    • Teaching period code: Trimester-TJD
    • Location: Murdoch University Dubai, UAE
    • Attendance mode: Face to Face
    • Start year: 2026
    • End year: 2026
    • Self enrol: No
  • DUBAI-ISC-TJD-FACE2FACE
    • Teaching period code: Trimester-TJD
    • Location: Murdoch University Dubai, UAE
    • Attendance mode: Face to Face
    • Start year: 2028
    • End year: 2028
    • Self enrol: No
  • DUBAI-ISC-TMD-FACE2FACE
    • Teaching period code: Trimester-TMD
    • Location: Murdoch University Dubai, UAE
    • Attendance mode: Face to Face
    • Start year: 2027
    • End year: 2027
    • Self enrol: No
  • DUBAI-ISC-TSD-FACE2FACE
    • Teaching period code: Trimester-TSD
    • Location: Murdoch University Dubai, UAE
    • Attendance mode: Face to Face
    • Start year: 2026
    • End year: 2026
    • Self enrol: No
  • DUBAI-ISC-TSD-FACE2FACE
    • Teaching period code: Trimester-TSD
    • Location: Murdoch University Dubai, UAE
    • Attendance mode: Face to Face
    • Start year: 2028
    • End year: 2028
    • Self enrol: No
  • KAPLAN-SGP-TJA-MIXEDMODE
    • Teaching period code: Trimester-TJA
    • Location: Kaplan Higher Education Academy Pte. Ltd
    • Attendance mode: Mixed Mode
    • Start year: 2026
    • End year: 2026
    • Self enrol: No
  • KAPLAN-SGP-TJA-MIXEDMODE
    • Teaching period code: Trimester-TJA
    • Location: Kaplan Higher Education Academy Pte. Ltd
    • Attendance mode: Mixed Mode
    • Start year: 2028
    • End year: 2028
    • Self enrol: No
  • KAPLAN-SGP-TMA-MIXEDMODE
    • Teaching period code: Trimester-TMA
    • Location: Kaplan Higher Education Academy Pte. Ltd
    • Attendance mode: Mixed Mode
    • Start year: 2027
    • End year: 2027
    • Self enrol: No
  • KAPLAN-SGP-TSA-MIXEDMODE
    • Teaching period code: Trimester-TSA
    • Location: Kaplan Higher Education Academy Pte. Ltd
    • Attendance mode: Mixed Mode
    • Start year: 2026
    • End year: 2026
    • Self enrol: No
  • KAPLAN-SGP-TSA-MIXEDMODE
    • Teaching period code: Trimester-TSA
    • Location: Kaplan Higher Education Academy Pte. Ltd
    • Attendance mode: Mixed Mode
    • Start year: 2028
    • End year: 2028
    • Self enrol: No
  • MALAYSIAKL-TJC-FACE2FACE
    • Teaching period code: Trimester-TJC
    • Location: UCSI College, Malaysia
    • Attendance mode: Face to Face
    • Start year: 2026
    • End year: 2026
    • Self enrol: No
  • MALAYSIAKL-TSC-FACE2FACE
    • Teaching period code: Trimester-TSC
    • Location: UCSI College, Malaysia
    • Attendance mode: Face to Face
    • Start year: 2026
    • End year: 2026
    • Self enrol: No
  • MURDOCH-S1-FACE2FACE-2025-ONGOING
    • Teaching period code: Semester 1-S1
    • Location: Murdoch
    • Attendance mode: Face to Face
    • Start year: 2025
    • End year: Ongoing
    • Self enrol: Yes
  • MURDOCH-S1-ONLINEFLEX-2025-ONGOING
    • Teaching period code: Semester 1-S1
    • Location: Murdoch
    • Attendance mode: Online Flexible
    • Start year: 2025
    • End year: Ongoing
    • Self enrol: Yes

Requisites

Prerequisite

  • ICT285: 3 cp, Databases
  • OR
  • ICT218: 4 cp, Databases

Learning Outcomes

  1. Evaluate and determine which common data sources are most suited for Business Intelligence in organizational contexts.
  2. Demonstrate practical skills in applying the processes associated with extraction, transformation, and loading (ETL) of organizational data.
  3. Design and implement a simple data warehouse environment.
  4. Determine and create the most appropriate visualization to communicate a particular analysis.
  5. Demonstrate proficiency at working collaboratively to design data models and create a functional self-service Business Intelligence environment to a given specification.

Unit Details

  • Unit version: 37
  • Version start date: 01/01/2026
  • Owning college: College of Science, Technology, Engineering, and Mathematics
  • Owning school: Information Technology
  • Credit points: 3

Unit Content

  1. What is Business Intelligence
  2. BI Lifecycle
  3. Data Warehouse Design
  4. ETL
  5. Data Warehouse Implementation
  6. OLAP
  7. Business Analytics
  8. Non- and Semi-Structured Data
  9. BI Visualization
  10. Self-service BI
  11. Visualization Best Practice
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