Data Science

The MSc involves intense coursework projects such as Capstone, Keystone and Lab-Based research projects which resembles actual challenges in the real world. These learning projects assist learners to implement the theoretical into the development of viable, scalable AI applications. The stages of the various projects do this in a sequential manner to allow learning as one goes on. Students graduate with experience to show in this structure.

The B.Sc. is a totally online degree, students are able to access the classes wherever they are in the world. The course is active and efficient due to live interactive sessions, recorded materials, and practical works. It also includes mentorship and support in order to make the students achieve success. Students will have time to learn in their own time and develop technical skills.

Applicants should have passed Class 12 with any recognised board irrespective of stream. They do not require prior knowledge in computer Science or coding. The course suits the people, who are called freshers, professional workers and those who want to change their career. It sets out to make the entry into the universe of AI and data Science easier.

The average tuition fee for Data Science courses is approximately INR 50,000 to INR 8 lakh, which differs on the basis of the course level, the college where you're planning to pursue the course, and the college's all-India ranking, reputation, and location. Besides the tuition fee, you also have to pay an extra amount for the hostel facilities, college application, exam fee, backlog fee (if applicable), caution money, lab fee, and other miscellaneous charges.

You can check the detailed Data Science courses fee structure on the official websites of the colleges you're targeting to have better clarity.

Pursuing full-fledged courses in Data Science after Class 12 can serve as a gateway to exciting earning opportunities in the IT and software industry, data analytics, finance, banking, healthcare, AI, cloud computing, etc. The data-driven and technologically advanced nature of the work field has resulted in a boom for data Science jobs. You can find some top career options after Data Science courses given below:

• Data Scientist
• Data Architect
• Statistician
• Machine Learning Engineer
• Data Analyst
• Business Intelligence Analyst

The college ranking surely plays an extremely important role when you're selecting the college for pursuing Data Science courses because a good college ranking speaks volumes of the excellent networking opportunities and placement records. But it is not the only important factor; rather, your focus should also be on the curriculum quality, practical opportunities, teaching faculty, and the course fee structure.

Only after assessing the college on these parameters should you make the final decision for admission.

Not at all. The syllabus for Data Science courses is not the same for all colleges; instead, it differs based on the course level and the college offering the course. The syllabus includes core subjects, programme electives, lab work, research projects, and internships. Each college follows a certain coursework structure and makes sure to provide the students with the best available tech resources and quality education for them to excel in this technologically advancing work industry.

The syllabus for Data Science courses after 12^th differs on the basis of the college/course provider offering the course and the course level. The curriculum includes core subjects, specialised programme electives, project work, lab sessions, and internships. Some of the main subjects are given here:

• Statistics and Numerical Methods
• Database Design and Management
• Data Exploration and Visualization
• Fundamentals of Data Science and Analytics
• Artificial Intelligence
• Data Warehousing and Data Mining
• Machine Learning Algorithms
• Deep Learning