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Precision Medicine Toolkit for Healthcare Analytics
Programme Code: SOM-PMTHA
Mode of Delivery
Online (Live)
Duration
2 days
Date / Time
- 21/06/2025 , 28/06/2025 Timing TBC
Registration opens 07 May and will close on 13 June. | To note: Due to limited training places granted by SSG, only 2 course placements will be allocated to Singaporean/PR learners.
Programme Highlights
By the end of this course, learners will be able to:
a. Leverage Python- and R-programming to extract, analyse, and visualize complex biomedical data, enabling evidence-based decision-making in Precision Medicine.
b. Develop proficiency in essential bioinformatics skills to navigate and interpret large-scale biomedical datasets in personalized healthcare.
c. Cultivate competence to design and implement novel algorithms and workflows to drive Precision Medicine applications.
Benefits of Attending
This module equips students with critical programming skills for the rapidly evolving field of precision medicine. Through mastery of Python, R, and Linux, students develop a comprehensive foundation in advanced data analysis, visualization, and manipulation techniques tailored specifically for biomedical applications. Building on this foundation, the curriculum integrates hands-on experience in managing large-scale datasets, applying sophisticated biostatistical methods, and developing reproducible research workflows.
As students hone their practical skills in bioinformatics, biostatistics, and command-line operations, they become adept at processing complex biomedical data using state-of-the-art computational tools.
Ultimately, this module arms students with programming expertise crucial for advancing personalized healthcare, while simultaneously paving the way for further studies in the Master of Science (MSc) in Precision Health and Medicine programme.
Who Should Attend
Clinicians, healthcare professionals and administrators, biomedical researchers, data scientists, professionals and students aspiring to enter precision medicine.
Trainer Profile
Dr Xavier Chee Wezen, Lecturer in Precision Medicine, Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore
View MoreCourse Agenda
Module 1: Fundamentals in precision medicine programming
Module 2: Precision analytics
Module 3: Rapid automation in biomedicine informatics
Pre-Requisites and Assessment
Applicants must hold a Bachelor’s degree or be in the final stages of completing one. Candidates with alternative qualifications and relevant experience may also be considered on a case-by-case basis, pending approval from the school.
Assessment: Project
Awards and Certification
All participants will receive a Certificate of Completion upon passing all assessment components and completing the course.
Course Fee
International Participants
Singapore Citizens1 39 years old or younger
Singapore Citizens1 40 years old or older eligible for MCES2
Singapore PR
Enhanced Training Support For SMEs3
Full Programme Fee
$2,100
$2,100
$2,100
$2,100
$2,100
Less: SSG Grant Amount4
–
$1,470
$1,470
$1,470
$1,470
Nett Course Fee
$2,100
$630
$630
$630
$630
9% GST on Nett Course Fee
$189
$56.70
$56.70
$56.70
$56.70
Total Nett Course Fee Payable including GST
$2,289
$686.70
$686.70
$686.70
$686.70
Less Additional Funding if Eligible Under Various Schemes
–
–
$420
–
$420
Total Nett Cost Fee Payable, Including GST, after additonal funding from the various funding schemes
$2,289
$686.70
$266.70
$686.70
$266.70
1) All self-sponsored Singaporeans aged 25 and above can use their SkillsFuture Credit to pay for the course fee.
2) Mid-Career Enhanced Subsidy (MCES): Singaporeans aged 40 and above may enjoy subsidies up to 90% of the course fee.
3) Enhanced Training Support for SMEs (ETSS): SME-sponsored employees (Singapore Citizens and PRs) may enjoy subsidies up to 90% of the course fee.
4) Learners must pass all assessment components to successfully complete the course and receive a Certificate of Completion. Learners may have to bear the full course fee if they fail to meet this requirement.
Application Deadline
Registration opens 07 May and will close on 13 June.
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