Despite the emergence of many trending technologies, data science holds a remarkable spot in the tech space. For over a decade now, data science jobs, courses, and careers have gained more traction than ever before. According to a report, the world needs more than 5 million data science professionals this year alone. With big data becoming the core of business functionalities, the need for data science professionals is anticipated to go to further extremes in the coming years. While the world is driving with the data science craze, India is no different. Starting from healthcare to education, finance, telecommunication, manufacturing, and retail, Indian companies in every sector are opening their doors to data science graduates who can perform well. A LinkedIn report suggests that the average salary of data scientists in India is at INR8,50,000. Although online courses are profitable and benefit students to an extend, post graduate data science courses hold a big spot in the job market. Students who have done post graduate data science courses and have passed out with a good percentage are getting red carper acceptance in MNCs. Owing to the growth in big data usage, Indian colleges are offering top data science courses to students. They take students through the basics of big data, data analytics, business analytics, etc. IndustryWired has listed top post graduate data science courses in India that aspirants should take up in 2021.
M.Tech in Data Science and Machine Learning at PES University
M.Tech degree in data science and machine learning offered at PES University takes students through python for data science, statistical foundations, machine learning, deep learning, big data analytics, and data visualization. The 2-year course will provide an in-depth understanding of data science tools and techniques widely used across many industry verticals. Resume building, mentorship from experts, mock interviews and access to job boards are some of the other features provided alongside the master’s course.
M.Sc Data Science at Vellore Institute of Technology (VIT)
With an inclusive thought to educate students from all over India including those from the local and rural areas, and from other countries, the M.Sc Course at Vellore Institute of Technology enlightens individuals with data science knowledge and improves their standard of living. Some of the key areas of the course include Matrix Theory and Linear Algebra, Statistical Interference, Regression Analysis and Predictive Models, etc. Only applicants from mathematics, statistics, data science, and big data background can take up the course.
M.Sc Data Analytics at Bharathiar University
The master’s degree provided by Bharathiar University will help students get a clear knowledge of mathematics, statistics, science, and computing to model software applications, configure software platform, and analyze real-time data in heterogeneous domains. Throughout the course, the students will be taken through a futuristic perspective on what they can do for the next five to seven years. Starting from applying data analytics skills to reaping the actual insights for an organization, the course teaches everything to students.
Artificial Intelligence (5-years Integrated Programme) at Vellore Institute of Technology (VIT)
This course is an integrated degree provided by VIT. With a collab of B.Tech and M.Tech in AI, this five-year course is designed to help students acquire the industry standards, saving six to twelve months. Besides exploring artificial intelligence and data science, students will be given alternative space to investigate on connected topics like computer vision, normal dialect handling, mechanical technology, programming examination, and computerized reasoning.
M.C.A at Bharathiar University
The M.C.A programme offered by Bharathiar University helps students progress their career productively in software industry, academia, research, entrepreneurial pursuit, government, consulting firms, and other information technology-enabled services. It covers the basics of information technology, computer science, and data science and big data as a whole. Besides, it also touches on various aspects of applying data science and other techniques to solve real-world issues.