CS vs. AI-ML Courses: Placement Analysis.
Engineering courses are one of the best placement providers in the country right now when it comes to college-level education. The baton is led by Computer Science Engineering, which has a track record of the maximum employment rate of graduates. It should be noted that only 3% of students who become engineering graduates actually land high-paying and quality offers. So, what causes this immense disparity? The difference lies in going for normal CS courses and specialized courses.
Specialized computer science courses focus on niche-oriented education that directs students towards a career in a more specified field of computer science rather than the general CS line of education. Specialized courses are available in various subjects, such as Machine Learning, Artificial Intelligence, & Data Science. So, how does the placement data of specialized CS courses rack up against the regular CS courses? Let’s find out!
A comparison of normal vs. specialized CS courses in terms of placements & pay packages.
Computer Science Engineering
Computer Science courses all across India are very popular, and most students opt for this subject when they apply for engineering courses. The average pay package of CS students at the start of their career is around 3-4 LPA according to industry standards. The average salary of CS graduates with experience in their field ranges from around 5-9 LPA. This is a market estimate based on data available from popular websites.
Specialized AI & ML Engineering
First of all, you should know specialized courses, by their nature, offer better-paying job opportunities for their students. Similarly, they are harder to get into as well. So, the starting salary for a fresher AI or ML engineer is around 5-6 LPA. The higher value is because of the more challenging course content of the specialized courses along with the extra effort students had to put in to complete the course with distinction in various subjects. The average salary of AI & ML engineers in India is over 10 LPA at around 12-13 LPA, according to estimated data from popular websites.
Why Are Specialised Engineering Courses Better Paying?
Niche Oriented Education
One of the key disadvantages of traditional computer science courses is that they focus on a lot of theoretical knowledge, which is great for academics but not as valuable for your work experience. So, to combat this problem, specialized courses have a more defined syllabus that is directed around a specific niche of computer science and tries to teach all the essential and some of the advanced skills you will need at your workplace when you start your professional career. This approach helps you learn more practical-oriented skills that will help you get better-paying jobs in better companies at better roles.
Harder Curriculum
Computer Science engineering is hard for some; for others, they are a cakewalk. Regardless of how you feel about the course, it still focuses on only one main subject, which is computer science and its surrounding concepts. What if you had to master statistics, pure mathematics, on top of your computer science course, too? Well, that is the reality of niche-oriented and specialized engineering courses. Often, students have to master over three subjects in their course study. This makes it harder to complete these courses with distinction, and students who are able to do that, are rewarded with better job offers and payscale.
Bottom Line
Another great advantage of studying specialized AI & ML courses is that they future-proof your career, as these industries are rapidly growing and expected to become some of the most important industries in the future. Excelling in these courses today will allow you to earn a fortune tomorrow when these industries become even bigger. So, if you are an engineering aspirant who wants to get better-paying offers along with future job security, be sure to get in touch with JIET DAT to learn more about their AI, ML, and Data Science courses that will help you achieve all the goals mentioned above.
