Looking for the best free online courses in Biomedical Sciences? This article contains a list of well-researched free online courses in Biomedical Sciences with certificates in 2022.
If you are looking to begin a career or transition into biomedical sciences, you will find all you need to know in this article. From what biomedical sciences entail to where biomedical scientists work.
Continue to read to learn all you need to know.
Biomedical Sciences
Biomedical Sciences is the study that primarily focuses on the areas of biology and chemistry relevant to healthcare. It covers three general areas of specialty:
- Life sciences
- Physiological sciences
- Bioengineering
Careers in this field are mostly research and lab-based and they aim at advancing medical knowledge.
Since you are already reading about biomedical sciences, you may also like to read about Biomedical Engineering Salary in the US.
Free Online Courses in Biomedical Sciences with Certificates in 2022
We have carefully compiled a list of some of the best free online courses in Biomedical Sciences for you. It is easy to choose through these courses as each course contains the details of what the course entails.
Also, you can choose to enroll and complete more than one course from the list. Even better, all of the courses on our list are free and they come with shareable certificates that participants et rewarded with upon course completion.
Why don’t you get right in to find which courses best suit your interests!
1. Biomedical Visualization
This course is offered by the University of Glasgow, a university focused on academically transforming lives since 1451 and also doubles as one of the top 100 universities in the world.
This course, designed for learners at all experience levels, aims at exploring the structures as well as the functions of the human body. This also includes the terminology used.
In addition, the course demonstrates the visualization techniques used in technology for imaging and displaying data relevant to the body.
Furthermore, this course offers training in animations and as well evaluates the applicability of the various types of reality. By the end of this course, you would have learned to use visualization in your discipline.
Also, you will gain/learn:
- The ability to define and describe anatomical terminology in relation to the human body
- The ability to be able to describe the various body systems, what comprises them, and how they relate to function.
- How to create 3D modeling and animations using industry-standard, open-source software (Blender).
- How to assess numerous visualization techniques as well as methods, and be able to apply them to areas of biomedical science.
The course covers the following:
- Introduction to Visualisation and the Human Body
- 3D Models and Animation
- Virtual Reality and Augmented Reality
- Extended Reality: The Realities and The Future
Course Provider: Coursera
Duration: Approximately 22 hours to complete
Cost: Free
Certificate: Yes
While you are still here, you may also like to read about the Top 10 Free Online Medical Schools.
2. Advanced Reproducibility in Cancer Informatics
This course is offered by Johns Hopkins University, a university dedicated to educating students as well as cultivating their capacity for lifelong learning. Also, to foster original and independent research as well as deliver the impacts of discovery across the globe.
This course aims to familiarize learners with the tools that help to enhance productivity as well as replicability in cancer informatics.
Also, it offers hands-on exercises that will help to demonstrate how to get familiarized with the tools such as code review, GitHub, GitHub actions, and Docker.
Basically, this course is designed for learners in the biomedical sciences as well as researchers who utilize informatics tools in their research.
In addition, it equips the learners with an in-depth knowledge of the capabilities of reproducibility tools as well as how they can be applied to their already existing analyses scripts and projects.
Course Syllabus:
- Defining Reproducibility
- Version control with GitHub
- Code review – as an author
- Launching Docker
- Modifying a Docker image
- Modifying a Docker image
- Automation as a reproducibility tool
Course Provider: Coursera
Duration: Approximately 10 hours to complete
Cost: Free
Certificate: Yes
3. Precision Medicine
This course is designed for students with bachelor’s degree level training as well as for professionals who deal or are expected to deal with precision medicine.
This includes primary care physicians, public health policy and decision-makers, cancer and non-communicable diseases specialists, other first-line healthcare professionals, biomedical researchers, and drug developers.
The course aims to provide learners with the core knowledge as well as the tools to help them gain an in-depth understanding of the essentials and practical implications of precision medicine. Also, its opportunities as well as challenges.
In addition, it expires prison medicine era diagnostics, genetic counseling, treatment selection, public health interventions as well as biomedical research. Also, it deals with data science as well as ethical issues.
Course Syllabus:
- Monogenic Diseases
- Complex Diseases
- Cancer
- Health and Prevention
- Pharmacogenomics and Drug Development
- Research
Course Provider: Coursera
Duration: Approximately 28 hours to complete
Cost: Free
Certificate: Yes
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4. Data Science in Stratified Healthcare and Precision Medicine
This course is offered by the University of Edinburgh, a university founded in 1583, and has since remained at the forefront of innovation in both education and research.
The course aims to explore the different types of data and computational techniques involved in stratified healthcare as well as precision medicine.
It offers hands-on experience of working with data as well as the opportunity to directly learn from experts in the field of successful case studies.
Course Syllabus
- Sequence processing
- Network modeling
- Probabilistic modeling
- Machine learning
- Natural language processing
- Process modeling
- Graph data
Course Provider: Coursera
Duration: Approximately 17 hours to complete
Cost: Free
Certificate: Yes
5. Industrial Biotechnology
This course is offered by the University of Manchester, a university founded in 1824 and devoted to understanding world-class research, delivering outstanding learning and student experience as well as being socially responsible.
The university is home to nearly 40,000 students and it offers this course on Coursera.
This course aims to cover the core enabling technologies that underpin and aid biotechnology research. This includes enzyme discovery and engineering, biochemical and process engineering as well as systems and synthetic biology.
Basically, the purpose of this course is to give learners in-depth knowledge in these areas. In addition to this, the course also offers lessons on the broader issues pertaining to sustainable manufacturing. These include responsible research innovation and bioethics.
In addition, the course explores how these technologies translate into real-world applications which impact our everyday lives as well as the society at large.
By the end of this course, learners would have:
- Been able to understand enzymic function and catalysis
- Able to explain the technologies as well as the methodologies underpinning systems and synthetic biology.
- Able to understand the principles as well as roles of bioprocessing and biochemical engineering in industrial biotechnology.
- To give instances of industrial biotechnology products and processes as well their applications in agriculture, energy, the environment, fine chemicals, and healthcare.
- Been able to explain the diversity of synthetic biology applications as well as discuss the various ethical and regulatory challenges involved in this research.
- To hold an informed and insightful discussion of the key enabling techniques underpinning research in industrial biotechnology.
Course Syllabus
- Enzymes, Enzyme Discovery and Engineering
- Methods in Systems and Synthetic Biology
- Biochemical and Bioprocess Engineering
- Pharmaceuticals and Fine Chemicals
- Case Studies: Bioenergy and Biomaterials
- Case Studies: Glycoscience and Biotherapeutics
Course Provider: Coursera
Duration: Approximately 11 hours
Cost: Free
Certificate: Yes
Don’t fail to also read about the Top 10 Free Online Courses in Pharmacology with Certificates.
6. Case Studies in Personalized Medicine
This course aims to teach how advances in biomedicine hold the ability to revolutionize the development of drugs, drug treatments as well as disease prevention. Also, to answer the – ‘where are we now and what does the future hold’ questions.
This course will be delivered with a series of case studies to illustrate principles of how genetics are brought to bear on refining diagnoses as well as on personalizing treatment in common and unusual diseases.
Y the end of this course, the learners would have understood:
- How to choose from drug therapies focusing on genetic factors
- How genetic variants can contribute to human disease susceptibility
- Finally, how the functional consequences of the broad majority of genetic variants discovered by modern sequencing are unknown.
Course Syllabus
- Introduction to personalized medicine
- Studying genetic variation
- Case studies in personalized medicine
- Case studies in personalized medicine (ii)
- Personalized medicine in a system of care
- Final reflection activity
Course Provider: Coursera
Duration: Approximately 18 hours
Cost: Free
Certificate: Yes
7. Big Data, Genes, and Medicine
This course aims to teach exciting facts about human body biology as well as genetics, chemistry, and medicine that will be intertwined with the science of Big Data and skills to tackle the avalanche of data readily available.
It will explore the various steps involved in mastering Big Data analytics on real datasets. This will include Next Generation Sequencing data, in a biological and healthcare context, from preparing data for analysis through to completion, interpreting the results, visualizing them as well as sharing results.
By the end of this course, participants would have gained or sharpened the skills required to make them stand out as professionals and want to dive deeper into biomedical Big Data.
Course Syllabus
- Genes and Data
- Preparing Datasets for Analysis
- Finding Differentially Expressed Genes
- Predicting Diseases from Genes
- Determining Gene Alterations
- Clustering and Pathway Analysis
Course Provider: Coursera
Duration: Approximately 40 hours
Cost: Free
Certificate: Yes
8. Introduction to Systems Biology
This course aims to explore and introduce the participants to contemporary Systems Biology primarily focused on mammalian cells, their constituents as well as their functions.
These systems tend to underlie core subcellular processes such as transcription, signal transduction, motility, and electrical excitability. In turn, these processes would come together to exhibit cellular behaviors like secretion, proliferation as well as potential.
The course will develop several lines of reasoning to answer the following questions:
- What are the properties of subcellular and cellular systems?
- What are the mechanisms through which emergent behaviors of systems arise?
- Why do we need computation and simulations to understand these systems?
- What types of experiments inform systems-level thinking?
Course Syllabus
- Systems-Level Reasoning | Molecules to Pathways
- Pathways to Networks | Physical Forces and Electrical Activity in Cell Biology
- Mathematical Representations of Cell Biological Systems | Simulations of Cell Biological Systems
- Experimental Technologies | Network Building and Analysis
- Midterm
- Analysis of Networks | Topology to Function
- Strengths and Limitations of Different Types of Models | Identifying Emergent Properties
- Emergent Properties: Ultrasensitivity and Robustness | Case Studies
- Case Studies | Systems Biomedicine | Systems Pharmacology and Therapeutics | Perspective
Course Provider: Coursera
Duration: Approximately 19 hours
Cost: Free
Certificate: Yes
9 Foundations of Healthcare Systems Engineering
This course aims to teach about the current lack of synchronized, integrated, and efficient healthcare systems which have driven some improvements to healthcare delivery. Also, it explores the various types of systems as well as how they translate to the healthcare field for the right systems engineering process applications with exemplars.
By the end of the course, the participants would have learned to:
- Baseline the needs in healthcare delivery as well as articulate why and how the systems engineering approach can address the needs.
- Work out and measure the various system types, their attributes, and characteristics, with exemplars.
- Define the systems engineering approach as well as conceptualize how to solve healthcare system challenges with this approach.
- To trace and outline the different healthcare systems to the system types and begin systems engineering problem solving with exemplars.
Course Syllabus
- Healthcare Drivers
- System Types
- Systems Engineering Approach
- Healthcare Systems Engineering Approach Applications
Course Provider: Coursera
Duration: Approximately 6 hours
Cost: Free
Certificate: Yes
10. Network Analysis in Systems Biology
This course provides an introduction to data integration and statistical methods employed in conventional Systems Biology, Bioinformatics, and Systems Pharmacology research.
It explores the methods to process raw data from genome-wide mRNA expression studies (microarrays and RNA-seq) which includes data normalization, clustering, differential expression, enrichment analysis as well as network construction.
In addition, the course comes with practical tutorials for using tools as well as for setting up pipelines. Also, it covers the mathematics behind the methods applied within the tools.
Basically, the goal of this course is to enable the learners to use the methods in this course to analyze their data for their projects.
Course Syllabus
- Course Overview and Introductions
- Topological and Network Evolution Models
- Types of Biological Networks
- Data Processing and Identifying Differentially Expressed Genes
- Gene Set Enrichment and Network Analyses
- Deep Sequencing Data Processing and Analysis
- Principal Component Analysis, Self-Organizing Maps, Network-Based Clustering and Hierarchical Clustering
- Resources for Data Integration
- Crowdsourcing: Microtasks and Megatasks
- Final Exam
Course Provider: Coursera
Duration: Approximately 30 hours
Cost: Free
Certificate: Yes
Conclusion
If you took the time to go through the list of courses, we are sure you found something useful and we hope it serves the purpose for which you searched.
All the best!
FAQs Free Online Courses in Biomedical Sciences with Certificates in 2022
Is Biomedicine a good degree? Yes, biomedical science is a good degree. There has been an increase in demand for candidates with degrees in biomedical sciences which has led to lots of exciting opportunities for graduates and professionals.
Yes, it is hard to study biomedical sciences. This is the reason it leads to graduate-entry dentistry and medicine. However, this should not deter your dreams of becoming a medical scientist. If you work and study hard, you will be fine.
Biomedical Scientists work in pharmaceutical companies or academic institutions.
What jobs can you get with a Biomedical Science degree?
Analytical chemist
Biomedical, clinical, forensic, or research scientist
Biotechnologist
Crime scene investigator
Dental therapist
Environmental engineer
Genetic counselor
Medical chemist
Biomedical Sciences is the study that primarily focuses on the areas of biology and chemistry relevant to healthcare.
Biomedicine and biomedical sciences usually refer to the same thing.
Reference
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