IIDST’s pay-after-placement model to support careers in data science
In a ground breaking move to revolutionize the landscape of data science education and career advancement, the International Institute of Data Science and Technology (IIDST) announces the launch of its pioneering "Pay After Placement" model
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Mumbai, May 02: In a ground breaking move to revolutionize the landscape of data science education and career advancement, the International Institute of Data Science and Technology (IIDST) announces the launch of its pioneering "Pay After Placement" model.
Data science, with its ever-growing demand across industries, has become a sought-after career path for many aspiring professionals. However, barriers such as upfront program costs often hinder individuals from pursuing this promising field. Recognizing this challenge, IIDST has devised a unique solution to empower aspiring data scientists and bridge the gap between education and employment.
Under the Pay After Placement model, students enrolling in IIDST's data science programs will have the opportunity to defer entire program fee payments until after they secure employment in the field. This innovative approach not only removes financial barriers but also aligns the incentives of the institute with the success of its students. By prioritizing employment outcomes, IIDST ensures that students receive the necessary support and resources to thrive in their data science careers.
“We are thrilled to introduce the Pay After Placement model, which reflects our commitment to democratizing access to quality data science education," said Aakash Singh, CEO at IIDST.
This model not only provides financial flexibility to our students but also underscores our confidence in the value of our programs. We believe that by investing in our students' success, we can catalyze positive change in the data science ecosystem, he added.
IIDST's comprehensive data science curriculum, crafted by industry experts, equips students with the knowledge and skills needed to excel in a rapidly evolving field. From machine learning and statistical analysis to data visualization and big data technologies, the institute offers a robust educational experience tailored to the demands of the industry.