Higher education of the future may not be planned or directed by the government. Though not all, many will comprise a variety of national and international private, autonomous, independent, for-profit, or not-for-profit institutions having their specific missions. The government would ensure students that they have the greatest number of educational opportunities of all types.
Moreover, to promote educational opportunities, there are various subsidies for universities. The advantages of subsidies in higher eduction are that there will be:
- Inclusiveness and equity enabling higher education for marginalized and socio-economically backward sections.
- University funding engages students with research and specialization aptitude to become a better contributor to the economy.
- It brings social mobility, increases human capital, and gains better benefits from demographic dividends.
If we consider various programs that have subsidies, data science programs are gaining traction recently. We find many data science funds programs initiated by various bodies to improve the capabilities of under-developed nations/universities and make efforts to make data science courses affordable to them.
The demand for data science professionals is booming everywhere across the globe and many professionals and students are aspiring to get into the domain. However, pursuing the certification comes with a fee structure that may not be affordable for many.
We at World data science (WDSI) have realized this gap and initiated grants for data science initiatives the universities take. This data science initiative reduces the cost burden for applicant-institutions and transfers the benefits to their applications. The grants help to fill the gap between the available resources and industry requirements.
The grant from WDSI is provided to the participating institutions and as such encourages more professionals to avail the courses. WDSI covers the costs that involve selection, procurement of teaching or learning platforms like printed guides, digital laboratories, certifications, guides, and many more.
Let’s learn more about WDSI here.
World Data Science Initiative (WDSI)
World data science shares the subsidies for universities directly like Private Universities, Public Universities, Data Science Education Consortia and Funded Data Science education projects.
The World Data Science Initiative (WDSIs) funds program is granting over USD 300 million worth to the institutions that meet the eligibility criteria as mentioned on the website. It is a unique funding initiative where the participants get the opportunity to pursue data science programs. The funds granted after scrutiny will enable the select universities or institutions to accredit their students with the advanced vendor-neutral data science standards in the world.
The benefits get released to accredited bodies so that they can configure the subsidy internally in their fee structure. The talent targets include data scientists, data architects, big data analysts, big data application developers, big data engineers, business analytics professionals, and business intelligence professionals across regions such as Africa, America, Australia, Europe, and Asia. To know more about the detailed geographical locations, deadlines for applications, scrutiny of applications, and other details, you can visit the website here.
To conclude, there are various data science funding programs like WDSI. For instance,
- The Harvard Data Science Initiative – supports data science research and methodology and its applications.
- Data and computational Research from Sloan Foundation “ supports the management and sharing of research code and data from acquisition through analysis.
There are various funding initiatives like support conferences, open-source software projects, travel support, university faculties, etc. For learners, there are means to study. It is how we avail the opportunities and move the career ahead to take a position in the competitive market.
If you are interested to join this elite network and carve your niche in the data science talent, contribute to your country and industry, then grab this opportunity and move ahead.
