Diploma in Applied AI and Analytics (DAAA - S30)

What You'll Study

DAAA-Multiple Pathways

Year 1

Module Code

Module Name

Total Hours

CC1001

Thinking Critically about the UN SDGs (TCU)

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30

CC1007

Collaboration in the Digital Age (CDA)

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15

CC2002

Data Fluency (DF)

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15

CC2003

AI and Its Impact (AII)

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15

CC3005

Problem Solving with Creative & Computational Thinking (PSCCT)

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15

MS0105

Mathematics

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60

MS0141

Statistics for Data Science

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45

SP108C

Education and Career Guidance

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30

ST0501

Front-End Web Development

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75

ST0503

Back-End Web Development

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90

ST0523

Fundamentals of Programming

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75

ST1510

Programming for Data Analytics

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75

ST1511

AI & Machine Learning

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75

ST2413

Fundamentals of Computing

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60

Elective 1

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45/60

Year 2

In year 2 semester 2, students can opt into an Industry Now Curriculum (INC). In lieu of attending module classes, students work in IT job roles such as software developers at the software student agency Project INC on curated real client industry projects to gain credits and gain exposure to the latest technologies. Students get to network with industry partners and master industry relevant skills through this Industry Project Learning Approach — Project INC.

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Module Code

Module Name

Total Hours

CC1006

Digital Communication for Impact (DCI)

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15

CC1008

Effective Writing for the Workplace (EWW)

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15

CC1009

Personal Branding and Career Agility (PBCA)

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30

CC1S10

Sustainable Innovation Project (SIP)

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45

CC3004

Persuasive Communication with Data Storytelling (PCDS)

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30

MS0240

Mathematics for AI

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60

ST1501

Data Engineering

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75

ST1502

Data Visualisation

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60

ST1504

Deep Learning

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75

ST1507

Data Structures & Algorithm (AI)

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60

ST1508

Practical AI

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60

ST1517

DevOps & Automation for AI

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75

Elective 2

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45/60

Elective 3

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45/60

Year 3

In Year 3, students can choose to continue their training in one of the following pathways:

Year-Long Internship Pathway

Module Code

Module Name

Total Hours

IH304Y/Z

Internship Programme

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44 weeks

ST3004

Infocomm Professional Seminar

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45

University Pathway

Module Code

Module Name

Total Hours

ST1516

Applied AI and Analytics Project

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240

ST3004

Infocomm Professional Seminar

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45

Computing Elective 1

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60

Computing Elective 2

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60

Computing Elective 3

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60

Note: For University Pathway, students to complete three Computing Electives administered by the university.

Industry Project Pathway

Module Code

Module Name

Total Hours

IC3004

Internship Programme

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22 weeks

ST1516

Applied AI and Analytics Project

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240

ST3004

Infocomm Professional Seminar

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45

Computing Elective 1

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60

Computing Elective 2

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60

Computing Elective 3

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60

Note: For Industry Project Pathway, students can choose to complete either 22-week internship or three Computing Electives from a curated list or from industry certification courses.

Common Core Curriculum

The Common Core Curriculum is designed to prepare students for a disruptive world that is ever-changing. Comprising critical human and emerging digital skills, the common core modules offer students an integral and inter-disciplinary learning experience to address the wicked problems of the world (framed by the United Nations’ Sustainable Development Goals). Through the Common Core modules, students will think critically about real-world problems, empathise with local and global communities and be challenged to effect change.

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Electives

The SP elective framework offers students options to pursue their passion and / or meet different career needs, and is an integral part of the holistic education we seek to provide to our students. The learning experiences of this elective framework help students in their development as self-directed, versatile, life-long learners, which are essential in today’s volatile and changing societal as well as occupational landscape.

Please note: Course structure subjected to change.