Updated on: 29th Oct 2022
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Diploma in Applied Artificial Intelligence (T69) TP Course Overview

Diploma in Applied Artificial Intelligence (T69) TP Course Overview

COURSE TITLE: T69 Diploma in Applied Artificial Intelligence
INSTITUTE: Temasek Polytechnic
COURSE DURATION: 3 Years
FIELD OF STUDY: Information and Digital Technologies
CERTIFICATION OFFERED: Diploma in Applied Artificial Intelligence
ADMISSION TYPE: JAE, JPAE, Poly EAE, PFP, DAE

Course Description

We live in a world where almost everything is automated, and AI is no exception. In the future, AI will also be used to control robotics and machines. The rise of AI is also expected to have an enormous impact on healthcare with AI being used to predict a person’s health risks and set personalized goals for each patient. Artificial intelligence is already being used to streamline medical procedures like checkups and surgeries. By using AI to monitor patients and adjust procedures as needed, AI can drastically reduce the time it takes to get a patient from point A to B. We can now develop healthcare solutions that help frontliners in the fight against COVID-19.

In this course, you will learn how to develop chatbots, how to use artificial language processing technology to translate language from one to another, and how to use machine learning and deep learning algorithms to create unique solutions for businesses and industry.

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Minimum Entry Requirements

For N(A)-Level students seeking admission through PFP

SUBJECT GRADE
English Language (EL1)* 1-3
Mathematics (E or A)  1-3
Any one of the following subjects
  • Design and Technology
  • Food and Nutrition/Nutrition and Food Science
  • Science (Chemistry, Biology)
  • Science (Physics, Biology)
  • Science (Physics, Chemistry)
1-3
Any 2 other subjects excluding CCA 1-3

For O-Level students seeking admission through JAE

SUBJECT GRADE
English Language 1-7
Mathematics (Elementary/Additional) 1-6
Any 2 other subjects 1-6

*To be admitted, you must have also taken one of the listed subjects in the 2nd group of relevant subjects for the ELR2B2-C aggregate type. This subject will be used for ELR2B2-C aggregate computation.

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Course Modules

Year 1

TP Fundamentals (TPFun) Subjects

SUBJECT CODE SUBJECT CREDIT UNITS
LEA1011  LEA1011 Leadership: Essential Attributes & Practice 1  1
MCR1001 Career Readiness 1 1
CCS1006  Communication & Information Literacy  2
LSW1002  Sports & Wellness 2
CCS1008 Persuasive Communication 2
GCC1001 Current Issues & Critical Thinking 2
CGS1002  Global Studies 3

Diploma Subjects – Core Subjects

SUBJECT CODE SUBJECT CREDIT UNITS
CIA1C07 Logic and Mathematics 3
CIT1C19  User Experience and Interface Design  3
CIT1C18  Computational Thinking 4
CIT1C20 Coding and Development Project 4
CIA1C11 Data Visualisation and Analytics 4
CIA1C06 Database Application Development 4
CIT1C14 Data Structures and Algorithms 4
CCF1C02 IT Systems Security Essentials 4
CMC1C08 Network Technology  4

Year 2

TP Fundamentals (TPFun) Subjects

SUBJECT CODE SUBJECT CREDIT UNITS
MCR1002 Career Readiness 2 1
LEA1012 Leadership: Essential Attributes & Practice 2 1
LEA1013 Leadership: Essential Attributes & Practice 3 1
CCS1007 Workplace Communication 2
CGS1003 Managing Diversity at Work* 3
CGS1004 Global Citizenship & Community Development* 3
CGS1005 Expressions of Culture* 3
TGL1001 Guided Learning 3
CIN1001 Innovation & Entrepreneurship 2

* Students must choose one of these courses or TGL1001 Guided Learning.

Diploma Subjects – Core Subjects

SUBJECT CODE SUBJECT CREDIT UNITS
CAI2C01 Robotic Process Automation 4
CMC2C16 IoT Application Development 4
CIA2C14 Data Science Essentials 4
CAI2C02 AI and Ethics 4
CAI2C03 Deep Learning and Object Recognition 4
CAI2C04 Cloud Technologies  4
CAI2C05 Natural Language Processing 4
CIT3C15 Machine Learning for Developers  4

Year 3

TP Fundamentals (TPFun) Subjects

SUBJECT CODE SUBJECT CREDIT UNITS
MCR1003 Career Readiness 3  1
CSI3004 Student Internship Programme  16

Diploma Subjects – Core Subjects

SUBJECT CODE SUBJECT CREDIT UNITS
CAI2C06 AI for Advanced Manufacturing 4
CAI2C07 AI for Cybersecurity 4
CMP3101 Major Project 10

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Graduation Requirements

Cumulative Grade Point Average (CGPA) min 1.0
TP Fundamental Subjects  40 credit units
Diploma Subjects – Core Subjects  84 credit units
Total Credit Units Completed min 124 credit units

Internship

  • INTERNSHIP DURATION: 20 Weeks
  • INTERNSHIP TIMEFRAME: Year 2

Career Prospects

You can pursue the following career path after graduation:

  • Web Application Developers
  • Android Mobile App Developers
  • Data Analysts
  • AI/Machine Learning Engineers
  • Applications Developers
  • AI Engineer
  • Robotics Process Automation (RPA) Engineer
  • Software Engineer
  • Frontend Developer

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