New Delhi: The iHUB DivyaSampark of IIT Roorkee has collaborated with Imarticus Learning to launch a certificate programme in Data Science and Machine Learning (ML). This five months-long program is going to begin on June 30, 2022. Aspiring candidates can submit the online application form through the official portal, i.e. imarticus.org.

Along with the instructors from IIT Roorkee, professors from IIT Guwahati and IIT Ropar will also supervise the course. The programme will provide a strong foundation in Data Science and ML to the learners.
After successfully completing the programme, learners will be able to explore career opportunities in the field of Data Analysis, Data Science, Business Intelligence, Data Analytics Consultation and so on.
At the end of the course, participants will be able to receive certificates issued by iHUB DivyaSampark at IIT Roorkee, Department of Science and Technology and Imarticus Learning under the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS). Candidates interested in IIT Roorkee Admission 2022, can apply now through the official portal of Imarticus Learning.
Check the detailed highlights, eligibility, selection process, application process and dates in this article below!
IIT Roorkee Data Science & ML Course Admission 2022: Highlights
Name of Institute |
IIT Roorkee |
---|---|
Academic Year |
2022-23 |
Courses Offered |
Certificate Course in Data Science & ML |
Course Duration |
5 Months |
Programme Fee |
INR 1,00,000 |
Application Status |
Ongoing |
Commencement of Class |
June 30, 2022 |
Class Timings |
Saturday & Sunday |
Mode of Application |
Online |
Course Details & Registration Link |
|
Official Website |
iitr.ac.in |
IIT Roorkee Data Science & ML Course Admission 2022: Course Details
Before applying to the course, interested candidates should take note of the following details:
- The course is designed by the authority for early and middle-level professionals for acquiring knowledge in Data Science and Machine Learning with Python for Data-driven decision making.
- The programme will be delivered via online mode and live sessions.
- Applicants interested in building their start-ups will receive support from the institutes as well.
IIT Roorkee Data Science & ML Course Admission 2022: Eligibility Criteria
Here are the eligibility criteria prescribed by the institutes:
- Aspiring candidates should be from an early or mid-level professional background, looking for developing a career in Data Science and ML
- Professionals, aspiring to build careers in fields such as retail, healthcare, supply chain, etc.
- Anybody who is interested in learning Data Science and Machine Learning.
Note: Participants are not required to have any prior experience in Python programming for applying to the course.
IIT Roorkee Data Science & ML Course Admission 2022: Selection Process
Candidates will be selected in the following process:
- Interested participants first need to send a confirmation regarding their interest in the course.
- Then they will be conducted by the authority and they have to submit the proof of their academic and professional excellence.
- Shortlisted candidates will be further conducted by the authority regarding admission.
IIT Roorkee Data Science & ML Course Admission 2022: How to Apply?
Candidates should take note of the following steps before applying to the programme:
Step 1-Visit the official application portal of Imarticus Learning.
Step 2- Register yourself after filling in the required details, such as Mobile Number, Email Id etc.
Step 3- Now, log in with your registration credentials and fill in all details in the Application form.
Step 4- Pay the application fee and submit the Application form.
Step 5- Applicants must also take a printout of the form for all future needs.
Read More:
- IIT Delhi Offers Certificate Course in Design Thinking and Innovation 2022; Last Date to Apply is May 13
- Jain University, Bangalore Launches B.Tech in Artificial Intelligence & Data Engineering from 2022-23; Apply Now
To get the latest educational news and updates, follow us on Google News!
Comments