Post Graduate Diploma in Applied Statistics PGDAST
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 computer based exercises 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 computer based exercises in selected areas of statistics, and
- To equip learners with the skills of using appropriate statistical technique for applications in various fields.
Eligibility: Graduation in any discipline.
Medium of Instruction: English
Duration: Minimum 1 year and Maximum 3 years; offered in both January and July cycle of admissions.
Fee Structure: Rs.7,600/- 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) | Download |
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 | |
MSTE 2 | Industrial Statistics -II | 4 | to be taken | |
MSTL 2 | Industrial Statistics Lab | 2 | Together |
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.