B.Tech

B.Tech (Computer Science and Engineering - Decision Science and Machine Learning) is an undergraduate engineering course that combines the fields of computer Science, data Science, and machine learning to provide students with a comprehensive understanding of decision-making and problem-solving in the digital age. The course focuses on teaching students how to apply various machine learning and statistical techniques to analyze large volumes of data and derive useful insights from it. The curriculum covers a range of topics, including Probability and Statistics data structures, algorithms, database management, artificial intelligence, and machine learning. Students pursuing this course will learn how to use various software tools and programming languages, such as Python, R, and MATLAB, to implement machine learning algorithms and develop predictive models. They will also learn about decision theory and how to make data-driven decisions using various decision-making techniques. Graduates of this programme can find employment opportunities in various industries such as healthcare, finance, e-commerce, and information technology. They can work as data analysts, machine learning engineers, data scientists, software developers, and in other related roles. Overall, the B.Tech (Computer Science and Engineering - Decision Science and Machine Learning) course is ideal for students who are interested in data Science and machine learning and want to pursue a career in this field.

Veermata Jijabai Technological Institute (VJTI) Mumbai offers lateral entry admission to its B.Tech programs, including Textile Engineering. The lateral entry admission is offered to diploma holders in engineering/technology and B.Sc degree holders.
The admission to the lateral entry program in VJTI Mumbai is based on the merit of the qualifying examination. The merit list is prepared based on the marks obtained in the qualifying examination.
As per the official website of VJTI Mumbai, the cutoff for the lateral entry admission to Textile Engineering in the previous years was around 70% or above for open category candidates. However, the cutoff may vary from year to year depending on several factors such as the number of applicants, the difficulty level of the examination, and the availability of seats.
It is important to note that the cutoff for lateral entry admission may differ for candidates from different categories such as SC/ST, OBC, and others. Candidates are advised to keep an eye on the official website of VJTI Mumbai for the latest updates on the cutoff and admission process.

Almost all engineering branches take you on a road full of opportunities, the real question is deciding which branch of engineering are you passionate about. After deciding what you love the most, you can consider parameters like salary, growth opportunities, industry environment and, future prospects. I will suggest to take CSE if you want immediate and good paid jobs in IT. In CSE field nowadays the field expanded so much that you have many options to choose your career in the CSE itself. Some of the famous fields in the CSE branch is Artificial intelligence, Machine Learning, Android Development, Automation, Data Science and much more you can say. The B.Tech degree in Computer Science and Engineering is focused on providing foundational knowledge and skills to the students.

There are several engineering specialties with considerable potential for income. The finest engineering discipline for the future, nevertheless, may be said to be computer Science engineering. Computer engineers are highly sought after in practically every industry due to the rise of software-driven technologies. Graduates with computer Science or related degrees have high work prospects in the future, when AI (Artificial Intelligence) and machine learning may have enormous potential for improvement. A computer engineer makes, on average, $2,24,524 year in base pay. With experience and qualifications, this number may increase significantly. Mechanical engineering and civil engineering are two more fields with room for future expansion.