Course Details
Course Details
What You'll Learn
Topic 1: Bioinformatics Fundamentals and Biological Sequence Analysis
Topic 2: Protein Structure Analysis and Genomic Variant Detection
Topic 3: Transcriptomics, Genomics and Gene Expression Analysis
Topic 4: Machine Learning for Biological Pattern Discovery and Prediction
Topic 5: Bioinformatics Data Visualisation and Scientific Insight Communication
Assessment
- Written Exam
- Practical Exam
Course Info
Promotion Code
Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.
Minimum Entry Requirement
Knowledge and Skills
- Able to operate using computer functions
- Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
- Positive Learning Attitude
- Enthusiastic Learner
Experience
- Minimum of 1 year of working experience.
Target Age Group: 21-65 years old
Minimum Software/Hardware Requirement
Software: NIL
Hardware: Windows and Mac Laptops
SWDA (formerly SSG) Training Grant
SWDA TG is $15 per pax. Net fee after SWDA TG is $309.82. Absentee Payroll is not eligible.
Steps to Apply Skills Future Claim
- The staff will send you an invoice with the fee breakdown.
- Login to the MySkillsFuture portal, select the course you’re enrolling on and enter the course date and schedule.
- Enter the course fee payable by you (including GST) and enter the amount of credit to claim.
- Upload your invoice and click ‘Submit’
Get Additional Course Fee Support Up to $500 under UTAP
The Union Training Assistance Programme (UTAP) is a training benefit provided to NTUC Union Members with an objective of encouraging them to upgrade with skills training. It is provided to minimize the training cost. If you are a NTUC Union Member then you can get 50% funding (capped at $500 per year) under Union Training Assistance Programme (UTAP).
For more information visit NTUC U Portal – Union Training Assistance Program (UTAP)
Steps to Apply UTAP
- Log in to your U Portal account to submit your UTAP application upon completion of the course.
Note
- SWDA subsidy is available for Singapore Citizens, Permanent Residents, and Corporates.
- All Singaporeans aged 25 and above can use their SkillsFuture Credit to pay. For more details, visit www.skillsfuture.gov.sg/credit
- An unfunded course fee can be claimed via SkillsFuture Credit or paid in cash.
- UTAP funding for NTUC Union Members is capped at $250 for 39 years and below and at $500 for 40 years and above.
- UTAP support amount will be paid to training provider first and claimed after end of class by learner.
Appeal Process
- The candidate has the right to disagree with the assessment decision made by the assessor.
- When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
- If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
- If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
- If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
- If the candidate is still not satisfied with the decision, the candidate must notify the assessor of the decision to appeal. The assessor will reflect the candidate’s intention in the Feedback Section of the Assessment Summary Record.
- The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
- The candidate must lodge the appeal within 7 days, giving reasons for appeal
- The assessor can help the candidate with writing and lodging the appeal.
- he assessment manager will collect information from the candidate & assessor and give a final decision.
- A record of the appeal and any subsequent actions and findings will be made.
- An Assessment Appeal Panel will be formed to review and give a decision.
- The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
- The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
- Please click the link below to fill up the Candidates Appeal Form.
Job Roles
Job Roles
- Bioinformatics Analyst
- Data Scientist (Bioinformatics)
- Computational Biologist
- Biostatistician
- Genomics Data Scientist
- Bioinformatics Research Scientist
- Molecular Data Analyst
- Proteomics Data Analyst
- Genomic Data Analyst
- Clinical Bioinformatics Specialist
- Bioinformatics Software Developer
- Machine Learning Engineer (Life Sciences)
- Bioinformatics Consultant
- Biotechnologist
- Biomedical Data Scientist
- AI Engineer (Life Sciences)
- Big Data Analyst (Life Sciences)
- Research Associate (Genomics)
- Systems Biologist
- Healthcare Data Scientist
Trainers
Trainers
Dr. Alfred Ang is a technology innovator, educator, and researcher with more than 25 years of experience in data analytics, computational systems, and applied engineering. He holds a PhD in Electrical Engineering from the National University of Singapore, an MEng from NTU, and an MBA from Universitas 21 Global. As Founder and Managing Director of Tertiary Infotech Pte. Ltd., Dr. Ang has led R&D initiatives and training programs in data science, AI, and bioinformatics applications, contributing to Singapore’s talent development in high-technology and research sectors. His academic and industry background uniquely positions him to bridge the gap between theoretical bioinformatics concepts and real-world implementation.
In this course, Dr. Ang provides learners with a deep understanding of AI-driven bioinformatics analysis. His sessions focus on data preprocessing, visualization, and predictive modeling for genomics and proteomics research. Learners gain a comprehensive view of how AI-assisted analytical workflows support precision medicine, biomarker discovery, and computational biology innovation. Through his structured and research-oriented instruction, participants build the capability to conduct reproducible and insightful biological data analysis using modern AI techniques.
Review
Customer Reviews (7)
- might recommend Review by Course Participant/Trainee
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Course duration is too short to handle the heavy content (Posted on 2/28/2023)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - might recommend Review by Course Participant/Trainee
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More exercises and case studies/practical examples. (Posted on 6/26/2022)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment
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