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COURSE OVERVIEW

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The Postgraduate Diploma in Biostatistics (PGDBS) is a one-year advanced program designed to equip students with expertise in Biostatistical methods, data management and statistical computing. The curriculum focuses on the application of statistical techniques in clinical trials, Epidemiological research and healthcare analytics, preparing students for careers in healthcare, academia and government sectors.


Syllabus >
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PROGRAMME OBJECTIVES

  • Provide students with a strong foundation in Biostatistical methods for data analysis and decision-making in Public Health.
  • Develop skills in data management, statistical inference and Epidemiological research.
  • Equip students with expertise in using statistical software like Jamovi, R and SPSS.
  • Enhance students’ ability to design, analyze and interpret health studies.
  • Foster ethical research practices in biostatistics, machine learning and health informatics.

PROGRAMME HIGHLIGHTS

Comprehensive Curriculum: Covers topics such as survival analysis, regression modeling, clinical trials and systematic reviews.
Hands-on Training: Practical exposure to data analysis, machine learning and Public health informatics.
Software Proficiency: Training in Jamovi, R, SPSS and SAS.
Industry-Relevant Skills: Application of Biostatistical techniques in Public Health, clinical research and epidemiology.
Capstone Project/Dissertation: A research-based dissertation with viva voce assessment.
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Programme Curriculum

  • First Semester
    Course Code Course Name Periods

    per week

    		 Credits Hours per week
    L T P
    BST65 01 Fundamentals of Biostatistics 2 2 0 4 4
    BST65 02 Statistical Inference 2 2 0 4 4
    BST65 03 Design and Analysis of Clinical Trials 2 2 0 4 4
    BST65 04

     

    BST65 05

    		 Elective –I

    (Students will choose one of these Course)

    i. Data Management and Ethics in Biostatistics

    Or

    ii. Health Informatics and Data Science

    		 1 2 0 3 3
    Practical/Others
    BSL65 01 Survival Analysis 0 0 2 2 4
    BSL65 02 Regression Analysis 0 0 2 2 4
    —   Seminar 0 0 0 0 6
    —   Library 0 0 0 0 1
    —   Extra-curricular activities 0 0 0 0 1
    —   Self-Learning/ Out Reach activities 0 0 0 0 5
    TOTAL 7 8 4 19 36
  • Second Semester
     

    Course Code

    		 Course Name Periods

    per week

    		 Credits Hours per week
    L T P
    BST65 06 Systematic Review 2 2 0 4 4
    BST65 07

    &

    BST65 08

    		 Elective –II

    (Students will choose one of these Course)

    i.          Epidemiology and Public Health

    Or

    ii.          Health Economics and Outcomes Research

    		 1 2 0 3 3
    Practical/Others
    BSL65 03 Machine Learning for Biostatistics 0 0 2 2 4
    BSI65 01 Dissertation 0 0 12 12 24
    TOTAL 3 4 14 21 36
    Grand Total Credits 10 12 18 40  

PROGRAMME FEE AND SCHOLARSHIPS

PROGRAMME FEES SCHOLARSHIPS ADMISSION PROCESS
One-Time Fee Admission Fee ₹13,000
Year I Tuition Fee ₹60,000
Total Course Fee ₹73,000

Scholarship is available for eligible students

Admissions are conducted in two modes:

  1. Convener Quota: As per the Andhra Pradesh Private Universities Act, through the Government of Andhra Pradesh.
  2. University Quota: Based on the TAU entrance exam or recognized national-level exams.

EMPLOYABILITY AREAS

Graduates of the PGDBS program can pursue careers in:

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  • Healthcare & Clinical Research: Biostatisticians in hospitals, pharmaceutical companies and Public Health organizations.
  • Academia & Research: Research assistants, faculty members, or Ph.D. candidates.
  • Government & Policy-Making: Analysts in health departments, WHO, CDC and ICMR.
  • Data Analytics & Machine Learning: Roles in health informatics, AI-driven analytics and big data research.