Why is upGrad’s PG Diploma in Data Science Program More Costly?
UpGrad’s PG Diploma in Data Science program is a comprehensive and powerful course with a multitude of off-the-chart benefits. Despite its higher cost, compared to the Applied Machine Learning course, it offers a robust, detailed, and well-rounded learning experience. Understanding the reasons behind its higher price point can help you make an informed decision about your investment in a high-quality education.
Key Features of upGrad’s PG Diploma in Data Science
upGrad offers an extensive 12-month online program that covers a wide range of topics with both depth and breadth. The curriculum is well-researched and enriched with input from experienced educators, ensuring an interactive and educational experience. The program includes:
Python Programming Bootcamp: A dedicated module to help you master Python, a fundamental skill in the world of data science. 14 Programming Tools and Languages: A comprehensive list of tools and programming languages designed to enhance your skills. 400 Content Hours with 6 specializations: Data Scientist Generalist Deep Learning Natural Language Processing Data Analytics Data Engineering Business Analytics 60 Industry Projects simulated as real-world scenarios, providing practical experience. 20 Live Learning Projects: Hands-on projects designed to prepare you for the workforce. Dedicated Student and Career Mentors: Personalized support throughout your program. Global Participation from 50 countries, offering a diverse learning network with fellow students and alumni. Multiple Hands-On Projects and Hackathons: Activities designed to enhance your practical skills and creativity.Upon completion, you receive a PG Diploma certification from IIIT-Bangalore, which is NASSCOM validated. Furthermore, you become an alumnus of IIIT-Bangalore, recognized by World Education Services (WES).
Key Features of Applied Machine Learning
Applied’s course is a more concise and focused program, covering 150 hours of content focused on Python, mathematics, data analysis, machine learning, and deep learning. The course includes:
70 Hours of Live Sessions, designed based on student feedback and industry requirements. Mentor Allocation: Provided after completing 50% of the course assignments.Upon completion, you receive a generic certificate without official recognition or additional support.
Comparing the Programs
Understanding why upGrad’s program is more expensive requires analyzing the value you receive:
Certification and Official Recognition: upGrad provides a NASSCOM Validated PG Diploma and IIIT-Bangalore Alumni recognition, both of which are officially recognized and hold significant value in the job market. Applied’s course, while valuable, offers a generic certificate that has less market value. Dedicated Mentorship: Personalized mentorship is available throughout upGrad’s program, offering ongoing support and guidance. Applied’s mentor allocation begins only after completing 50% of the course, with no regular support provided. Industry-Ready Specializations: upGrad’s 6 specializations ensure comprehensive skill development, preparing you for real-world challenges. Applied’s course covers a broader range with fewer specializations, potentially limiting your skill set. Placement Assistance and Industry Exposure: upGrad provides placement assistance and mentorship by industry experts, ensuring practical exposure to real-world scenarios. Applied’s course does not offer such comprehensive placement support.Therefore, it is crucial to evaluate both programs in-depth, considering the overall return on investment. The additional cost of upGrad’s course is justified by the comprehensive curriculum, official recognition, dedicated mentorship, and comprehensive skill development offered.
In conclusion, despite the higher tuition cost, upGrad’s PG Diploma in Data Science program offers more value with its structured curriculum, official recognition, and comprehensive support system. This robust offering makes it a worthwhile investment for those seeking a comprehensive and industry-ready education in data science.