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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
The AI and Big Data in Global Health Improvement certification course teach the candidates how data sharing with the help of AI and Big Data can lead to global health improvement and patient safety. Its impact was quite apparent during the COVID-19 pandemic. This course will look at the advantages and disadvantages of exchanging healthcare data globally.
The AI and Big Data in Global Health Improvement certification by Futurelearn and Taipei Medical University are developed by industry experts who shall cover what the future of medical development, care, and accessibility look like when powered by Artificial Intelligence and Big Data. One will also be able to discover what kind of strategies are used by government agencies, and publishers so that they can access the different types of medical datasets.
The AI and Big Data in Global Health Improvement online course will also delve into the future of medical advancement, health care management, and more with the help of industry experts. You'll also learn about the methods that governments, funding bodies, universities, and publishers utilize to gain access to datasets.
The Highlights
- Course on AI and Big Data
- 4 weeks classes
- 2 hours sessions weekly
- Self-learned course
- The programme mode is online
- An initiative of certificate by FutureLearn
Programme Offerings
- 4 Weeks Course
- Online Course
- 2 Hours Weekly Sessions
- Certificate of completion
- Progress Mapping
- Global Classroom
- self paced course
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 10854 | yes | Futurelearn |
The AI and Big Data in Global Health Improvement certification fees are as follows:
AI and Big Data in Global Health Improvement certification options | Fees in INR |
Option 1 | ₹10,854 (one-time payment) |
Option 2 | ₹4,550 for one year |
Option 3 | Free trial (4 weeks) |
Note: Candidates will get the full benefits for option 2. For option 3, they won’t gain graded assessments, e-certification, or accessibility to other courses. For Option 1, which is a one-time payment, the candidates get all the benefits.
Eligibility Criteria
Educational Qualification
Any educational background in the field of healthcare is not mandatory for students of the AI and Big Data in Global Health Improvement certification by FutureLearn.
Work Experience
Having zero or even more years of working experience will be considered for admission to this online programme.
Certification Qualifying Details
For any of the candidates to be able to receive the certification related to their course being completed they have to show dedication for going through all the resources, and assessments available in the course.
What you will learn
After completing the AI and Big Data in Global Health Improvement certification syllabus, the candidates will become adept at the following:
- In the case of global pandemics, candidates can give a description of how big data is able to do a quality improvement of the available data.
- During global study trials, candidates will identify the importance of big data and artificial intelligence.
- For the improvement of healthcare, candidates will learn to prepare standardized methodologies using both big data and artificial intelligence.
- Candidates can learn about patient healthcare quality safety, and its improvement by using both artificial intelligence techniques, and observational health data.
Who it is for
All the people interested in possessing knowledge of the concepts of artificial intelligence, and big data that is applied in the global healthcare sector for its improvement can look forward to getting admission. The student database is bound to include researchers, students, and even healthcare professionals.
Admission Details
Here are some simple steps explaining how candidates can seek admission for this course:
Step 1: Any admission-related information can be found by visiting the course webpage.
Step 2: Then once students land up on the official website, they will be finding a button ‘Register’ to start with the admission.
Step 3: They will see a webpage for doing registration on the website.
Step 4: Fill in some of the fields requiring personal details for registration to hit submit.
Step 5: As the registration is complete, the candidates can decide which type they want to opt-in for, and then get confirmed admission.
Application Details
Candidates would have to fill in their personal details to generate a new profile on the FutureLearn website. For new profile generation regarding AI and Big Data in the Global Health Improvement certification course, they need no application form but a proper social media account like Facebook or even a Gmail account. If any of these accounts aren’t accessible then putting in some of the personal information on the form may help with the registration.
The Syllabus
Instructors
TMU Frequently Asked Questions (FAQ's)
A comparison between these two cannot be made as both of them are inter-connected branches of computer science. Both have their real-world applications.
There is no coding knowledge required for this programme.
Yes, of course, candidates can check out some details about the course content before signing up.
Taipei Medical University has hand-picked the course curriculum.
If candidates have older accounts on FutureLearn they can use it for signing in, and accessing the course.
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