Experiential learning environments foster a great deal of innovative thought processes and deeply engaging ways to connect students with the professional world. Our school encourages Internship programs and field visits which many students opt for. Students engage with local businesses or individual firms that may be open to interns and help them work in a professional learning environment. Such programs have definitely helped our student community to demonstrate high levels of career readiness.
We have made it our priority to ensure that every student in Design and Mass Media has the opportunity to participate in internships, with a total of 480 internships available. Till date, 410 internships have been completed, with students receiving certifications.
Internships done by students have helped them with real-world experience in their chosen industries, giving them the opportunity to apply what they have learned in the classroom to practical situations.
Internships helped our students explore different career paths and industries, allowing them to make more informed decisions about their future career goals. By gaining exposure to different industries and job roles, students now have a better understanding of the skills and qualifications required for different career paths.
Internships helped our students with the opportunity to network with professionals in their chosen industry, that could lead to future job opportunities or mentorship relationships.
Internships helped students develop a range of skills that are essential for success in the workplace, such as communication, problem-solving, time management, and teamwork. By working alongside professionals in their field, students gained practical experience in these skills and develop their professional abilities.
Internships helped students with tangible work experience that they added to their portfolios and their resumes, making them more competitive candidates when applying for future jobs or educational opportunities.
Data Science equips students with the skills to analyze and interpret data, including statistical methods, data visualization, and predictive modeling, essential in the era of big data. This is another highly sought after subject due to increase in the demand for Data Scientists.