The Specialist Diploma in Biomedical Informatics and Analytics is jointly offered by Republic Polytechnic (RP) and Ngee Ann Polytechnic (NP). It aims to equip participants with the necessary tools and skillsets to perform biomedical informatics analysis, data preparation, statistical methods and data analytics. This course is relevant for adult learners looking to upgrade their skills and knowledge in biomedical informatics and data analytics. The knowledge and skills gained through this course would enable individuals to expand their job scope and take on new roles or tasks at their workplace, particularly in the biomedical science and healthcare sectors.
Upon completion of the programme, graduates will be able to:
- Demonstrate an understanding in the concepts and technologies involved in biomedical informatics and data analytics
- Analyse and interpret data to drive improvements in productivity and work processes
- Apply statistical models, methods and frameworks to transform experimental and clinical data into meaningful knowledge
- Apply tools and pipelines to process data in an efficient manner
- Assess and troubleshoot common errors in data analysis and workflows
- Apply quality control measures to maintain consistency when managing datasets
- Demonstrate ethical behaviour and maintain confidentiality of biological and healthcare data
Target Audience
- Individuals who are keen to embark on a career in the biomedical informatics and data analytic industries
- Working adults who wish to upgrade their skills and knowledge to support the growing needs of the biomedical informatics and data analytics industries
What is so unique about the course?
Through this programme, participants will gain a broad overview in the field of Biomedical Informatics. Participants will be equipped with skills and knowledge in data analytics and bioinformatics tools to support the biomedical research and healthcare industries.
How often do I need to attend the course?
Lessons are conducted via Home-Based Learning (HBL), eLearning and onsite for practical or project lessons. Lesson schedule for modules conducted at Ngee Ann Polytechnic will be announced at a later date. The course will commence in October 2022.
| Days of Lessons |
Duration |
| 2 to 3 week days |
6:00 pm - 10:00 pm OR
6.30 pm - 10:00 pm |
Saturday
(where necessary for practical or project lessons)
|
9:00am - 1:00pm OR
2:00pm - 6:00pm |
To be announced
Ngee Ann Polytechnic |
To be announced |
What will I get out of this?
Coming from a Molecular Cell Biology background, the lessons on Healthcare and Health Informatics were relevant to fill the gap in my knowledge of Biomedical Informatics. Advanced topics on bioinformatics like in-silico modelling was very relevant.
The Specialist Diploma in Biomedical Informatics and Analytics will be offered by RP in collaboration with NP. The course is comprised of two Post-Diploma Certificates (PDC). Each PDC is offered by a different polytechnic and comprises two modules each.
Participants will be awarded the Post-Diploma Certificate (PDC) upon successful completion of each certificate programme. The Specialist Diploma in Biomedical Informatics and Analytics will be issued upon meeting 50% of attendance requirement and passing the assessment criteria of both PDCs.
| Certification |
Modules |
Conducted by |
|
Post-Diploma Certificate in Biomedical Informatics (120 hours)
|
1. Fundamentals of Biomedical Informatics (60 hours)
2. Programming for Biomedical Sciences (60 hours) |
Republic Polytechnic |
|
Post-Diploma Certificate in Biomedical Analytics (120 hours)
|
1. Biomedical and Healthcare Data Sciences (60 hours)
2. Machine Learning for Biomedical and Healthcare Applications (60 hours)
|
Ngee Ann Polytechnic |
This includes self-learning hours in the form of e-learning, assessments, case study analysis and revision required by the module.
Module Synopses
1. Post-Diploma Certificate in Biomedical Informatics
This certificate aims to equip participants with practical skills and knowledge in biomedical informatics, such as utilising available platforms for retrieving relevant information from biomedical or healthcare-related sources. Participants will also learn about common programming languages, database structure and data security. Concepts emphasized in the modules are complemented by hands-on inquiry using relevant tools in the practical sessions.
Fundamentals of Biomedical Informatics
This module covers the key concepts, tools and techniques underlying biomedical and healthcare informatics. Participants will be introduced to bioinformatics, database structure and standards and apply these concepts to retrieve data for biological and clinical research. Data security concepts, compliance and regulation of data collection, and patient data management such as electronic health records will be covered.
Programming For Biomedical Sciences
This module will introduce participants to computer programming using the Python programming language. Core programming constructs will be covered and these will be taught with different case studies that are related to biological and clinical settings. Whilst Python will be the main language used, this module will also provide a basic introduction to the R language.
2. Post-Diploma Certificate in Biomedical Analytics
This certificate aims to equip participants with the knowledge and skills required to resolve complex data-science problems in various biomedical and healthcare sectors, and skills to communicate insights gained using various analytical tools. Data science is an emerging field that involves the use of novel mathematical and statistical tools to collect and analyse large datasets to derive insights that facilitate decision-making.
Biomedical and Healthcare Data Sciences
This module provides insights to participants in the area of data science and data analytics. Participants will learn fundamental statistical methods, database knowledge, perform data preparation and apply programming to derive insights from large dataset.
Machine Learning for Biomedical and Healthcare applications
This module covers fundamental concepts in the areas of AI that encompass machine learning. Participants will learn about basic data mining and predictive analysis tools and use existing tools for contextual applications. Participants will also be equipped with the skills and understanding of the use of machine learning in data collection and interpretation.
Please click on the "Register" button to view the updated course schedule and fees on the Skills Training & Enhancement Portal (STEP).
Applicants should possess at least a local diploma qualification or equivalent in Life Science, Health Sciences or Biomedical Engineering from recognised institution.
Applicants who do not meet the entry requirements may be considered for admission to the course based on evidence of at least 5 years of relevant working experience or supporting evidence of competency readiness. Suitable applicants who are shortlisted will have to go through an interview and/or entrance test. The Polytechnic reserves the right to shortlist and admit applicants.
Please click on the "Register" button to view the updated course schedule and fees on the Skills Training & Enhancement Portal (STEP).