/enri-thumbnails/careeropportunities1f0caf1c-a12d-479c-be7c-3c04e085c617.tmb-mega-menu.jpg?Culture=en&sfvrsn=d7261e3b_1)
/cradle-thumbnails/research-capabilities1516d0ba63aa44f0b4ee77a8c05263b2.tmb-mega-menu.jpg?Culture=en&sfvrsn=1bc94f8_1)
7e6fdc03-9018-4d08-9a98-8a21acbc37ba.tmb-mega-menu.jpg?Culture=en&sfvrsn=7deaf618_1)
Introduction
According to a 2024 Forbes study on AI trends, the global AI market was valued at $136.55 billion in 2022, expected to grow at a compound annual growth rate of 37.3% from 2023 to 2030, reaching $1,811.8 billion by 2030. Singapore is one of the fastest-growing markets for AI talent in Asia-Pacific, with AI talent hiring rising 14% faster than overall hiring in 2022 (EDB, 2023).
The hybrid learning approach combines online and in-person classes with project-based learning, providing flexibility for career switchers in today’s fast-paced digital economy. Delivered by expert instructors and NTU Faculty, the curriculum covers databases, Python programming, big data engineering, data analytics, and machine learning algorithms to meet the needs of Singapore's employers.
Graduates will gain the expertise and skills necessary for data analyst, data engineer, and data science roles. They will understand fundamental concepts in machine learning, AI, and data science, and be able to implement these principles practically. A portfolio of real-world projects will demonstrate their problem-solving abilities using advanced technologies.
Learners will engage in real-world case studies and capstone projects, addressing actual industry challenges. They will also have access to resources such as discussion groups, and mentorship from seasoned professionals.
In summary, this course offers an exceptional learning opportunity for those seeking a career in AI and data science, equipping learners with the knowledge and skills to thrive in these dynamic industries.
This course is offered on a full-time (3.5 months) and part-time (5 months) basis.
Upon successful completion of this course, learners will be awarded an Advanced Professional Certificate.
Due to high demand, applications for this course may close sooner than expected. Hence, prospective learners are advised to submit their application as soon as possible.
Course Availability
-
Date(s): 06 Jan 2025 to 01 Jun 2025
Time: Weekdays: 7:00PM to 10:00PM, Saturday: 10:00AM to 1:00PM (Part-Time)
Venue: Virtual (Online), NTU e-Learning Platform & NTU@one-north
Registration Closing Date: 16 Dec 2024
At the end of the course, learners will be able to:
- Analyse and manipulate data effectively using Python and SQL
- Create and manage databases for data storage and retrieval
- Conduct exploratory data analysis to extract meaningful insights
- Visualise data to communicate findings and trends
- Apply data science techniques to solve practical problems
- Deploy an ML model version via API or web app for inference or serving
| Module Title | Synopsis |
| Foundations of Data Science: Python and SQL | Learners will understand database basics, SQL, and Python libraries for data science, including data modeling, advanced SQL, data transformation with Numpy and Pandas, exploratory data analysis, and data visualisation. |
Scalable Data Solutions: Big Data Engineering Essentials | Learners will build and manage large-scale data pipelines and systems, covering data extraction, transformation, loading, data warehousing, architecture, and distributed data processing. |
Building Intelligent Systems: Machine Learning and Generative AI | This module focuses on developing and deploying machine learning models, covering paradigms, training, testing, deployment, and generative AI for unstructured data like image and text classification. |
| Certified AI Practitioner | Learners will explore AI, ML, and generative AI concepts and applications, including foundation model design, model training, finetuning, and prompt engineering, with real-world use cases across industries. |
Transforming Business with GPT: Hands-On Generative AI Applications | This module teaches creating applications using GPT API technology to improve business outcomes. Learners will understand GPT API at a team or organizational level, including working with, fine-tuning, deploying, and integrating GPT models in the cloud. |
| Full Stack Programming and Deployment of AI Solutions | Learners will develop and deploy full-stack web applications, covering front-end and back-end development, database management, API programming, cloud deployment, project management, and Web3 technologies, gaining hands-on experience with modern technologies. |
This course is designed for individuals who are seeking to diversify/expand their skills and/or intending to advance their careers in the rapidly growing fields of Data Science, Data Engineering, Machine Learning, and AI.
Applicants should have some related background that is relevant to the course:
- Employed full-time and seeking upskilling within the tech industry. (e.g. Data Scientist, Data Analyst); or
- Those with engineering degree/diploma; or
- Those with professional engineering experience.
Standard Course Fee: S$32,264
SSG Funding Support | Course fee | Course fee payable after SSG funding, if eligible under various schemes |
BEFORE funding & GST | AFTER funding & 9% GST | |
1 Singapore Citizens (SCs) and Permanent Residents (PRs) (Up to 70% funding) | $29,600 | $9,679.20 |
2 SCs aged ≥ 40 years old | $3,759.20 | |
3 SCTP Additional Course Fee Funding Support (AFS) (Up to 95% funding) | $2,279.20 |
• NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.
Dr Teoh Teik Toe
Dr Teoh is a Academic Director and Senior Lecturer at Nanyang Business School (NBS), teaching Business Analytics and AI subjects. His other roles include:
- Academic Director of the NBS Master of Science in Business Analytics
- Associate Director of NTU NBS AI Lab and NTU Information Management Research Centre
- Adjunct Professor at Henan University, Shandong Institute of Technology and Han Chiang University
Dr Teoh has published 4 books and more than 100 publications. Additionally, he has more than three decades of research experience in the areas of Big Data, Deep Learning, Cybersecurity, AI, Machine Learning and Software Development. He also possesses more than 25 years of teaching experience in AI, Data Science and Analytics, Statistics, Business, Finance, Accounting and Law.
Dr Teoh obtained his PhD in Computer Engineering from NTU, Doctor of Business Administration and Master of Business Administration from University of Newcastle, Master of Law from the National University of Singapore, and Bachelor of Laws and Master of Laws from University of London. He completed his post doctorate at Singapore University of Technology and Design.
Dr Teoh is a chartered holder of CFA, ACCA, CIMA, CA Singapore, Chartered Tax Practitioner, Associate Chartered Valuer and Appraiser and CPA Australia. Additionally, he is a member of Mensa International.
Zane Lim
Patrick Fong
Patrick is a Senior Consultant and Instructor at IVT Pte Ltd. He delivers namely cloud computing courses from Amazon Web Services (AWS) and is an expert in VMware products. He has attained many certifications such as AWS Certified Solutions Architect, DevOps Engineering and Machine Learning. Besides AWS products, Patrick is also certified in Servicenow and VMware products.
He was a mentor instructor to qualify new instructors onboarding for VMware and Dell EMC’s training team. With his vast experience from IT infrastructure products such as servers, enterprise storages and virtualisation coupled with years of consulting and project management experience, his trainings are unique and beneficial to students due to his real-life experiences in the field. In his 25 years of teaching and consultancy roles, he has delivered a myriad of courses and projects in Asia, Europe and South America.
Besides being a qualified instructor for AWS, VMware and Servicenow products, he holds an MBA from Heriot Watt University, Edinburgh Business School UK.
Related courses
- Foundations of Programming
- (SCTP) Advanced Professional Certificate in Software Engineering
- (SCTP) Advanced Professional Certificate in Data Analytics
- (SCTP) Advanced Professional Certificate in UX Design and Digital Product Management
- (SCTP) Advanced Professional Certificate in Digital Marketing
- (SCTP) Advanced Professional Certificate in Cloud Infrastructure Engineering
