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IGNOU PGDAST 2024 Solved Assignment-Post Graduate Diploma in Applied Statistics (MST, MSTE)

IGNOU PGDAST 2024 Solved Assignment-Post Graduate Diploma in Applied Statistics (MST, MSTE)

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Since 2011, has been dedicated to assisting IGNOU students in achieving top marks and A+ grades. Our comprehensive resources include solved assignments, exam notes, previous years' solved papers, sample papers, guess papers, and our exclusive All-in-One Exam Combo. With a focus on delivering high-quality academic support, is your trusted partner for success in your studies.

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  • Solved Assignments: Expertly crafted assignments that help you understand the course material and score high marks, especially for key courses like MST-001: Foundation in Mathematics and Statistics, MST-002: Descriptive Statistics, and MST-003: Probability Theory in the Post Graduate Diploma in Applied Statistics (PGDAST) program.

  • Exam Notes: Concise and precise notes tailored to help you prepare effectively for exams in essential subjects like MST-004: Statistical Inference, MST-005: Statistical Techniques, and MSTL-001: Basic Statistics Lab.

  • Previous Years' Solved Papers: Get insights into exam patterns and important questions from previous years, including those for core courses such as MST-001, MST-002, and MST-003, as well as elective courses like MSTE-001: Industrial Statistics-I, MSTE-003: Biostatistics-I, and their corresponding lab courses.

  • Sample Papers & Guess Papers: Practice with sample papers and guess papers designed to give you a competitive edge in courses like MST-001, MST-002, MST-003, and other relevant subjects.

  • All-in-One Exam Combo: A comprehensive package that includes all the essential resources you need for exam preparation, covering the complete curriculum of the PGDAST program, including compulsory and elective courses.

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Post Graduate Diploma in Applied Statistics (PGDAST) - School of Sciences (SOS)

The Post Graduate Diploma in Applied Statistics (PGDAST) at IGNOU is designed to provide learners with the knowledge and skills necessary for statistical applications in various fields such as rural and urban planning, data monitoring, natural resources management, industrial and business problem-solving, and social and agricultural development. Key objectives of the program include:

  • Providing core knowledge required for statistical applications
  • Acquainting learners with the use of statistics in applied sciences and industries
  • Offering computer-based exercises in selected areas of statistics
  • Equipping learners with skills for using appropriate statistical techniques in various fields

Programme Details:

  • Compulsory Core Courses:

    • MST-001: Foundation in Mathematics and Statistics (4 Credits)
    • MST-002: Descriptive Statistics (4 Credits)
    • MST-003: Probability Theory (4 Credits)
    • MST-004: Statistical Inference (4 Credits)
    • MST-005: Statistical Techniques (4 Credits)
    • MSTL-001: Basic Statistics Lab (2 Credits)
  • Courses for Industrial Statistics Specialization (Electives to be taken together):

    • MSTE-001: Industrial Statistics-I (4 Credits)
    • MSTE-002: Industrial Statistics-II (4 Credits)
    • MSTL-002: Industrial Statistics Lab (2 Credits)
  • Courses for Biostatistics Specialization (Electives to be taken together):

    • MSTE-003: Biostatistics-I (4 Credits)
    • MSTE-004: Biostatistics-II (4 Credits)
    • MSTL-003: Biostatistics Lab (2 Credits)

Total Credits: 42

Eligibility: Graduation in any discipline
Medium of Instruction: English

This program is ideal for working professionals and graduates aspiring for employment in industries such as software and pharmaceutical industries, National Laboratories, R&D Organisations, and Academic Institutions.

At, we support students enrolled in PGDAST with tailored resources that enhance their understanding and performance in these courses. Whether you need help with assignments, preparing for exams, or understanding complex statistical techniques, our materials are designed to help you excel.

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