IGNOU PGDAST Course Detail
Programme Description: POST GRADUATE DIPLOMA IN APPLIED STATISTICS
Programme Short Description: PGDAST
School Short Description: SOS
School Description: School of Sciences
Programme Description:
Statistical Techniques deal with acquisition, representation, analysis and interpretation of data. Statistics is an emerging field and the demand for statistics professionals is increasing by the day due to its potential applications in several fields such as rural and urban planning, data monitoring, natural resources management, management of industrial and business problems and social and agricultural development, etc. The PG Diploma in Applied Statistics Programme (PGDAST) has been developed to cater to the needs of working professionals and graduates aspiring for employment in industries (e.g., software, pharmaceutical industries), National Laboratories, R & D Organisations and Academic Institutions. The programme aims to provide the knowledge and hands-on training in selected areas of statistics and to acquaint the learners with the use of statistical tools in the analysis of industrial, social and business data.
Programme Objectives:
To provide learners with the core knowledge required for statistical applications
To acquaint learners with the use of statistics in applied sciences and industries
To provide hands-on training in selected areas of statistics, and
To equip learners with the skills of using appropriate softwares for statistical applications in various fields
Eligibililty
Graduate in any discipline from a recognised University.
Medium of Instruction: English
Duration: Minimum 1 year and Maximum 3 years; offered in both January and July cycle of admissions.
Fee Structure
Rs.7,200/- for full programme.
Programme Details
The 32 credits programme comprises 9 courses (7 theory courses and two practical courses) of which 6 courses are core (compulsory) and 3 courses are in the Industrial Statistics specialisation.
Course Code Title of the Course Credit Core (Compulsory)
MST 1 Foundation in Mathematics and Statistics 4 Core
MST 2 Descriptive Statistics 4 Core
MST 3 Probability Theory 4 Core
MST 4 Statistical Inference 4 Core
MST 5 Statistical Techniques 4 Core
MSTL1 Basic Statistics Lab 2 Core
Courses For Industrial Statistics Specialisation
MSTE 1 Industrial Statistics-I 4 Specialised Courses to be taken Together
MSTE 2 Industrial Statistics -II 4
MSTL 2 Industrial Statistics Lab 2
Special Instructions,
if any The following conditions apply in the first year when you enroll for the programme:
January Cycle: You will be allowed to appear in the TEE held in June of the same year for only the courses MST 1, MST 2, MST 3 and MST 4. You can appear in the exam for the remaining courses from MST 5 to MSTL 2 only in the month of December in the same year.
July Cycle: You will be allowed to appear in the TEE held in December of the same year for only the courses MST 1, MST 2, MST 3 and MST 4. You can appear in the exam for the remaining courses from MST 5 to MSTL 2 only in the month of June in the next year.
Programme Coordinator:
Dr. Manish Trivedi, manish_trivedi@ignou.ac.in, Ph. 011-29572825
LAST DATE OF ADMISSION 30th JUNE 2018
