Data Science

In our everyday lifestyle, smartphone cameras are used for face unlocking and apps like Google Translate facilitate image-to-text translation in no time. What do you think makes all of this possible? It is nothing but Computer Vision.

Other real world applications include self driving cars for easy navigation and obstacle detection, medical imaging like X-rays and CT scans for disease diagnosis, automated robotic systems in manufacturing and logistics and drone cameras for crop monitoring in agriculture.

Since Computer Vision is in itself a part of AI and is majorly dependent on machine learning fundamentals, some prior basic knowledge of AI is good to have. With basic knowledge of AI you can dive deep into the advanced and more complex understanding of Computer Vision concepts.

Having said that it is not a mandatory requirement for all online Computer Vision courses with certificate. Introductory courses do teach you the basics of AI and ML to provide a strong base before heading towards the world of difficult Computer Vision topics.

Computer Vision is basically a branch of AI that helps computers understand and interpret visual information from images, videos, and other visual inputs, just like any human would do. This means that you can artificially imitate human vision and derive meaningful data in no time. Some examples of Computer Vision applications include medical imaging in the healthcare sector, autonomous vehicles, crop monitoring and spatial analysis, and surveillance systems.

BTech in AI & ML or Data Science graduates from Universal AI University are eligible for positions like Data Scientist, AI Engineer, Machine Learning Specialist, and Business Analyst. Through hands-on project work and 2 internships, students are placed in the global tech-enabled industries. Problem-solving, innovation, and leadership development skills make the graduates highly placed in the employability list for technology, healthcare, finance, and research sectors.

Universal AI University's BTech in Data Science educates students in programming tools such as Python, R, and SQL for practical use. The syllabus emphasizes predictive modeling, classification, and data visualization for industries such as finance, healthcare, and marketing. Students go through internships, research work, and AI lab training for industry preparedness. The collaboration with LTIMindtree guarantees robust integration with the industry and career development.

IIT Guwahati offers a B.Tech in Data Science and AI program, but admission to this, is only through the JEE Advanced exam and  There is no direct admission  to the B.Tech in Data Science and AI at IIT Guwahati without appearing and qualifying in the JEE exams.Bsc Hona. In data Science and AI does not require JEE EXAM. You can take admission in B.Sc hons. On the basis of class 12th marks. 

The marking distribution of the GATE Data Science question paper is as follows -

• General aptitude - 15 marks
• Subject-based questions - 85 marks
• Total marks allotted - 100 marks

The GATE DA question paper marking scheme is as follows -

• Questions are either of 1 or 2 marks
• For 1-mark MCQ, 1/3 mark will be deducted for an incorrect response.
• For 2- mark MCQ, 2/3rd mark will be deducted for an incorrect response. 
• There is no negative marking for MSQs and NATs.