Postgraduate Diploma in Data Analytics
Post Graduate Diploma Program
Timings
- Weekdays (Monday to Friday) online 6:00 PM to 9:00 PM
- Weekend(Saturday ) - on campus 2:00 PM to 5:00 PM
- Weekend(Sunday) - on campus 9:00 AM to 5:00 PM
Programme Details
PG Diploma course in Data Analytics is ideal for all working professionals and prior programming knowledge is not required. It covers job-critical topics like data analysis, data visualisation, regression techniques, supervised learning and unsupervised learning in-depth.
Admission & Selection Process
Admission Process : The applicants must fill in complete information on the online application form and upload all required certificates (whatever is available) and photos.
Selection Process : The shortlisted candidates will be called for an interview. There are two rounds in the interview. Once the final interview is over, candidates have to pay their programme fee within 7 days and the mode of payment must be online. The dates of the interview will be communicated to the shortlisted candidates and will be announced on the website.
Eligibility
Eligibility for joining the PG Diploma in Data Analytics programme
- Graduates from any discipline are eligible to apply.
Syllabus
The syllabus for Postgraduate Diploma in Cyber Security is as follows:
Fee Structure
| Subject | Fee for the Year |
|---|---|
| Postgraduate Diploma in Data Analytics | ₹50,000 |
Note:
- Please note: if admitted, the fee must be paid in full within the time prescribed in the Admit Intimation.
- For all the students of PG Diploma programmes of the Department of Advanced Computing, the fees are to be paid in two installments.
The Management / University does not collect any type of Capitation fees / Donation other than the fees mentioned above.
Important Dates
To be communicated later
Programme Objectives
- To make the students learn the process of working with data in large scale.
- To make the student understand the existence of data with its wilderness and make use of it.
Programme Outcomes
Students will be industry-ready with the following knowledge:
- Mathematical foundation, statistical, programming and machine learning theories for analytics
- Programming skills to implement the analytics and machine learning concepts
- Knowledge of data preprocessing including ETL, data modeling, analytics, SQL,Implementation in Python and R
- Basic concepts of economics, accounts, ethical aspects of data analytics and so on
Potential Career Options
Will be updated soon..
Documents Required
Selected candidates must first update the following documents on their admission portal before the interview. The admitted students must submit the original documents at the Admin Office:
- Class 10th Certificate (High School) and Marks Card
- Class 11th Certificate and Marks Card
- Class 12th Certificate (Senior Secondary School) and Marks Card
- Undergraduate Marks Cards and Convocation Certificate
- Transfer Certificate from last qualified institution
- Migration Certificate if the candidate is outside Karnataka state
- Two passport-size photographs and one stamp-size photograph in formal dress with a white background
- Two Photocopies of the Online Payment Receipt
- Valid ID proof such as Aadhaar Card / PAN Card / Voter ID Card
- Letter of Undertaking.pdf
Candidates belonging to any of these categories -PIO / OCI / SAARC / FOREIGN NATIONALS-must submit the following documents:
- Photocopy of Passport and Visa Details
- Copy of PIO / OCI card (whichever is applicable and available at the time of admission)
- Certificate of Medical Fitness from an approved medical practitioner accredited by the Medical Council of India
- Resident Permit (If available)