B.Tech in CSE (Data Science)
Engineering (B.E. / B.Tech)
Shortlisted by 2+ Students
Location: Noida
Duration: 4 YEAR
Regular / Offline
Average Fees: ₹ 5.29 Lakhs
Highlights The vision of department of data science (CSE) is to make leaders to meet the growing demand for data scientist and engineers both Nationally and Internationally. The program focuses on developing critical thinking and problem-solving skills to prepare students with the challenging requirements of industry.
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B. Tech in Computer Science & Engineering in the specialization of Data Science is a rapidly growing field that involves the analytical technique of extracting usable information from a pool of data for the benefit of businesses. Corporations require this valuable data for their strategic planning, forecasting, fraud detection, and decision-making amongst many other uses.
| rogram | Duration | Intake | Affiliation Approval |
|---|---|---|---|
| B Tech Computer Science & Engineering (Data Science) | 4 Years | 60 | Dr. A.P.J. Abdul Kalam Technical University, Lucknow (Course approved by AICTE) |
About Computer Science & Engineering (Data Science) Programme
Data science encompasses of statistics, scientific methods, algorithms, and other analytical tools that are used to assess structured and unstructured data. It is a multi-disciplinary field that includes to manipulate petabytes of data to gain insights from that data pool. Their function is to analyze, interpret, and store data by using their knowledge of computer science, statistics, and mathematics. The programme provides skill sets resulting in intelligent operations, effective business decisions, increased profit, and content customers. Hence why there has been an exponential rise in data science jobs in recent years. B. Tech Computer Science in Data Science is a four-year bachelor's course that gives an insight into just that and gives an excellent start to the career of a data scientist.
At ITS Engineering College, students will be able to get valuable insight, knowledge, and training exposure through our numerous learning opportunities so that students can leverage the requisite skills in the field of data science. The pedagogy is designed in a way for students to work in real-life corporate situations, thus helping them become corporate-ready. For this purpose, they will be given ample learning opportunities through workshops, competitions, technical activities, seminars, internships, and placements.
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