Post Graduate Diploma In Applied Statistics (pgdast)
- Course Duration1 Year
- Course TypeDiploma
- StreamDiploma
- Type of courseDistance
Info.
PGDAST Admission 2023-24: PGDAST is a 1-3 years course that deals with studying statics and statical tools in analyzing social, business, and industrial data. In this course, the student learns statical techniques that deal with the representation, analysis and explanation of data. This is a vastly growing field due to its various applications in data monitoring, natural resources management, social and agricultural development, etc. Students interested in this field can opt for this course after graduation from any recognized institute with a minimum of 50% aggregate marks. IGNOU Admission 2023-24 Last Date is 20 October 2023 for PGDAST Course.
PGDAST Admission 2023-24 Latest Updates
- IGNOU has announced the last date is 20 October 2023 for the submission of TEE June assignment.
- Students can submit their Re-registration form by 20 October 2023.
- Students can apply for PGDAST Admission 2023-24 by visiting the official website.
- The last date is 20 October 2023 to apply for PGDAST Admission for July session 2023-24.
For other information, you can visit the below-stated pages
PGDAST Course Highlights:
Course Name | Post Graduate Diploma in Applied Statistics (PGDAST) |
Course Level | Post Graduate |
Duration | 1 Years |
University Name | Indira Gandhi National Open University |
Official Website | www.ignou.ac.in |
Location | Maidan Garhi, New Delhi, Delhi 110068 |
Course Fees | INR 6000 |
Eligibility | Graduation |
Average Starting Salary | 2 Lakh To 12 Lakh |
Employment Areas | - |
Job Types | - |
IGNOU PGDAST Study Material
Course Name | Course Code | Credits |
Compulsory | ||
Foundation in Mathematics and Statistics | MST-001 | 4 |
Descriptive Statistics | MST-002 | 4 |
Probability Theory | MST-003 | 4 |
Statistical Inference | MST-004 | 4 |
Statistical Techniques | MST-005 | 4 |
Basic Statistics Lab | MSTL-001 | 2 |
Optional & To be taken Together | ||
Industrial Statistics-I | MSTE-001 | 4 |
Industrial Statistics-II | MSTE-002 | 4 |
Industrial Statistics Lab | MSTL-002 | 2 |