Overview
The Graduate Certificate in Predictive Analytics Lifecycle (GC PAL) is a graduate-level analytics certificate offered by the NUS-ISS at the National University of Singapore. Designed for analytics practitioners and aspiring data professionals seeking to advance toward a Master's degree, it equips learners with the end-to-end capabilities required to transform raw, complex data into production-ready predictive solutions.
Covering the full predictive analytics lifecycle - from data preparation and predictive modelling to data engineering and deployment - the programme provides both the technical foundations and practical skills needed to deliver scalable, enterprise-grade analytics and AI solutions. Participants will complete four modular courses over 16 training days, complemented by a hands-on Practice Module that reinforces learning through real-world application.
GC PAL is stackable towards the Master of Technology in Enterprise Business Analytics (MTech EBAC), providing a flexible pathway for professionals pursuing advanced qualifications in analytics and data science.
Key Takeaways
Upon completion of the programme, participants will be able to:
- Transform messy, multimodal data into high-quality, analytics-ready datasets.
- Translate business challenges into predictive analytics problems and develop effective regression and classification models.
- Leverage AI-assisted tools to accelerate data preparation, model development, and coding workflows while applying critical judgement to validate outcomes.
- Design dimensional data models and data pipelines that enable scalable, repeatable analytics and AI initiatives across the enterprise.
- Deploy machine learning models into production environments using APIs, CI/CD pipelines, and cloud-based infrastructure.
- Implement MLOps practices to monitor, maintain, and continuously improve model performance and business alignment.
Modular Courses
Practice Module Application
For Stackable students who want to apply for the Practice Module of the Graduate Certificate in Predictive Analytics Lifecycle, please click the button below to find out more details.
Apply Here
Fees & Subsidies
| Graduate Certificate in Business Analytics Practice |
Singapore Citizens
|
Permanent Residents
|
International/Others |
| Statistics Bootcamp II |
S$4,000 |
S$4,000 |
S$4,000 |
| Data Analytics Process and Best Practices II |
S$2,700 |
S$2,700 |
S$2,700 |
| Predictive Analytics - Insights of Trends and Irregularities |
S$4,500 |
S$4,500 |
S$4,500 |
| Text Analytics |
S$2,700 |
S$2,700 |
S$2,700 |
| Subtotal |
S$13,900 |
S$13,900 |
S$13,900 |
| NUS-ISS Subsidy |
S$5,560 |
S$2,780 |
- |
| 9% GST on nett course fee |
S$750.60 |
S$1,000.80 |
S$1,251 |
| Total nett fee payable, inclusive of GST |
$9,090.60 |
S$12,120.80 |
S$15,151 |
Note:
1. The Graduate Certificate (Grad Cert) fees above are valid from 1 July 2022 to 30 June 2025. NUS-ISS reserves the right to amend the fees without notice.
2. The subsidy applies on the start date of the first course of the Grad Cert. Full payment must be made for all courses under the Grad Cert before the start of the first course.
3. Participants who enrol for the entire Grad Cert must join the timetable for the through-train MTech programme. Participants who wish to have a more flexible timetable may opt to take the same courses under NUS-ISS Executive Education but will not be entitled to Grad Cert subsidies.
4. NUS-ISS subsidies are only for eligible self-paying participants.
5. The subsidy will be pro-rated by the courses taken in the Grad Cert. If a participant is given a waiver for a component course, the subsidy will be reduced in proportion.
6. Participants who have previously taken a course, whether in part or in full, but have not received a waiver for the course will not receive subsidy for subsequent attendance of the modular course. The overall subsidy for the Grad Cert will be reduced in proportion.
7. There is no subsidy for the Grad Cert Practice Module.
| |
Full Fee |
| Practice Module (10 Man Days) |
S$200 |
| 9% GST on nett course |
S$18 |
| Total fee payable |
S$218 |