ICRI Gurugram starts registration for BTech in Data Science; apply till May 15
ICRI Gurugram has started BTech in Data Science in partnership with IIT Jodhpur.
Divyansh | April 30, 2024 | 07:07 PM IST
NEW DELHI: Institute of Clinical Research India (ICRI) Gurugram has started the registration process for BTech in Data Science. Eligible candidates can apply for the ICRI BTech in Data Science programme on the official website, icriindia.com, till May 15. ICRI said the classes for the programme will start on September 1.
Students aspiring for admission into the programme should have secured at least 55% marks in Class 12 board exam. Selected students will have to pay a of Rs 2,20,000. The programme integrates computer science, statistics, and domain knowledge to enable students to collect, organise, and analyse large sets of data to extract meaningful insights.
The students will be trained in topics such as machine learning, data mining, data visualisation and predictive analytics and other essential subjects. They will be prepared to meet the increasing demand for skilled professionals in industries.
Kanishk Dugal, the COO of ICRI, said, "Inspired by our commitment to excellence, ICRI is proud to announce the launch of our esteemed B.Tech Data Science course. The commencement of the B.Tech in Data Science program marks a significant milestone for the ICRI School of Technology in collaboration with Sushant University, Gurugram campus.we ensure our students are well-prepared for a successful career in this thriving field."
Also read SRMJEEE counselling 2024 dates out; round 1 choice filling begins today for BTech admission
The programme is being provided as a partnership initiative between Indian Institute of Technology (IIT) Jodhpur. This certification encompasses comprehensive training in data science and artificial intelligence. Through a 40-hour programme consisting of projects, discussions led by industry experts, and participation in various startup panels, students are equipped with the necessary skills to excel in the burgeoning field of data science.
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