The World Data Science Initiative enables universities worldwide to get accredited according to cutting-edge international standards. It enables universities to introduce world-class programs in data science, artificial intelligence, and machine learning for a subsidized fee. This initiative invites universities to become proud institutional members of the largest-ever global 4IR talent development campaign. Together with hundreds of universities and technology schools across continents, WDSI is working to build a worldwide Data Science and AI talent force. WDSI aims to grant over USD 300 million worth of subsidies to promising institutions in Africa, Asia and Latin America. This support will help them catch up with the latest standards and best practices in education, learning and research in 4IR technologies.
WDSI is the world’s biggest-ever project that is driving expansion and enrichment of the knowledge infrastructure of universities. It is creating large pools of certified technology talent on campuses. Since WDSI’s launch in January 2020, over 250 higher-education institutions from 28 countries have shown interest in getting accredited under the WDSI subsidy program and joining the growing WDSI network of world-class technology educators. Many of these institutions are also working on setting up centers of big data and/or AI excellence on their campuses. These centers offer global programs in various data science, AI, and machine learning streams.
For universities that do not offer Data Science and AI programs yet, WDSI is an opportunity to start world-class right away. This initiative helps universities get accredited and students get certified on subsidy. WDSI brings together technology schools, universities, data science educators, researchers, professors, education regulators, and education project bodies of multilateral aid consortiums. This is all to boost the development of next-gen data scientists, data technologists, and data science professionals around the world – especially in countries that are industrializing and growing now.
In today’s world, knowledge is power. This is why big data, artificial intelligence, and machine learning are critical for growth in any field. To empower this growth, nations need their own workforces of skilled data analytics, AI technologists, engineers, professionals, and experts. WDSI’s main idea is to create an umbrella of global standards that institutions can use to benchmark their curricula, methods, and approaches.
This Initiative helps universities, engineering, and business schools get accredited by leading global standards bodies in 4IR digital technologies. Selected institutions even get assistance in setting up Centers of Excellence in big data and artificial intelligence. Under WDSI, smaller institutions are equipped to offer programs on the world’s most advanced vendor-neutral knowledge frameworks. Thus, they become world-class Data Science and AI education providers.
Most institutions join this Initiative as beneficiaries of grants and subsidies that cover 40-70% of the costs of accreditation, content, and knowledge. WDSI provides your institution with an opportunity to join this elite worldwide network. You can help create a new legion of world-class talent in the latest digital technologies for your country and industry.
Click here to check details and apply!It is critical for universities to ensure that their academic learning systems are up-to-date and teach skills that match what industries and employers need. WDSI helps universities and technology educators get accredited on the finest international standards in data science, artificial intelligence, and machine learning. This makes them dynamic and agile – qualities that are needed to teach their students the latest and contribute meaningfully to the local industry.
The potential of technology to power our growth is determined by the quality and size of our talent pools. Getting students interested in technology from a young age on campuses is the best way to secure our future. WDSI helps universities and technology educators adopt future-ready curricula and teaching-learning approaches in frontier 4IR tech domains. This helps turn big tech ideas into even bigger results for the biggest impacts.
The World Data Science Initiative is set to help universities around the world rapidly adopt cross-platform knowledge frameworks, certifications, and best practices. This is ensured by accreditation on the most advanced global standards in data science and artificial intelligence. The improved post-accreditation academic systems of institutions are prepared to give students training that aligns with what industries need. This readies students for top jobs in their countries and regions. The WDSI talent development targets are listed below:
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*Figures based on an exhaustive WDSI analysis of leading global studies on data science talent needs
Data Science and artificial intelligence technologies power a variety of things: from modern machines and factories to governance delivery and scientific research. 4IR technologies speed up and refine decision-making in complex environments. They give organizations the ability to stay informed and intelligent in real-time and do things right the first time. Data science drives artificial intelligence and machine learning, making automation affordable and enabling it to increasingly influence our quality of life and service delivery.
Meteorological, environmental, and disaster management bodies around the world use advanced data science models and systems to predict natural calamities and save countless lives. Healthcare uses data science to predict and control contagious diseases. Environmentalists use big data technologies to track climate change, clean up oceans, and re-grow forests. Energy companies use AI and big data analytics to optimize hydrocarbon exploitation and accelerate their shift to green energy.
The fact is that technologies around data science and AI are key to boosting economic development in numerous industries and making life better on the planet. Practically all sectors of the modern world economy, from IT and Communications to Agriculture and the Manufacturing Supply Chain, respond brilliantly to data science-led interventions.
If the world needs Data Science and AI for growth, then Data Science needs top-quality professionals to drive it. Nations need to build their own pools of skilled AI engineers, data analysts, data scientists, data technologists, and data science leaders. This will enable them to unlock not only the great potential of modern technologies but also the energy of human ideas and creativity.
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