Overview

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Academic contacts

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Offerings

DUBAI-ISC-TJD-FACE2FACE-2025-2025
DUBAI-ISC-TMD-FACE2FACE-2026-2026
DUBAI-ISC-TSD-FACE2FACE-2025-2025
KAPLAN-SGP-TJA-MIXEDMODE-2025-2025
KAPLAN-SGP-TMA-MIXEDMODE-2026-2026
KAPLAN-SGP-TSA-MIXEDMODE-2025-2025
MURDOCH-S2-EXT-2023-2024
MURDOCH-S2-FACE2FACE-2025-ONGOING
MURDOCH-S2-INT-2023-2024
MURDOCH-S2-ONLINESCHD-2025-ONGOING

Requisites

Prerequisite

Other learning activities

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Learning activities

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Learning outcomes

1.

Evaluate and apply different data visualisation techniques in non-immersive and immersive environments.

2.

Perform data visualisation for AI, data exploration and discovery of hidden patterns in innovative ways.

3.

Utilise effective data storytelling technique.

4.

Articulate and implement the different interactive techniques, interactive analytics, and user interactions with data.

5.

Utilise non-real-time and real-time simulation of live-streamed and offline data.

6.

Design and develop interactive and collaborative/multi-user data visualisation tools using Python, C#, JavaScript D3.js, Unity3D, Unreal, WebGL, XR technologies and/or devices.

7.

Use suitable Software Engineering approaches during design and development.

8.

Work collaboratively and demonstrate effective teamwork ability. This skill is especially important for students who will be graduating and plan to work in the Information Technology industry. More importantly, collaborative work is a fundamental requirement for getting a job at the end of your degree.

Assessments

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