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Diploma Program

Data Management and Programming

Program Objective

This program is designed to provide learners with a deep and practical understanding of clinical data management (CDM) processes, regulatory requirements, and industry tools used to manage clinical trial data. The curriculum integrates programming components like SAS, SQL, and Generative AI to prepare learners for data-driven roles in clinical research and drug development.

Duration: 6 Months
Mode: Online (Instructor-led) + Project

Level: Diploma – Industry-Ready

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Certification

  • Diploma in Clinical Data Management and Programming – IDDCR Global Institute

  • SAS Programming Essentials Certificate (optional)

  • Project/Internship Completion Certificate

  • Membership opportunities with CDM professional bodies (e.g., SCDM)

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Program Benefits

  • Industry-relevant training aligned with global CDM practices

  • Hands-on experience with real-world tools and datasets

  • Integration of traditional CDM with next-gen AI tools

  • Prepares learners for high-demand entry roles in CROs, pharma, and data analytics

  • Affordable path to enter global regulatory-compliant data roles

  • Opportunity for placement assistance and project-based internships

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Career Outcomes

Graduates of this program can pursue the following roles:

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  • Clinical Data Associate / Data Coordinator

  • Clinical Data Programmer

  • Clinical SAS Programmer (Entry-Level)

  • SQL Data Analyst – Clinical Domain

  • EDC Specialist / CDM System Analyst

  • Medical Coder – CDM Track

  • Data Quality Analyst (Pharma/BioTech)

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Assessment & Evaluation

  • Module-wise Quizzes and Assignments

  • Programming Exercises in SAS & SQL

  • Medical Coding Scenarios & CRF Evaluations

  • Capstone Project Submission

  • Final Viva Voce with Review Panel

  • Minimum 60% score and 75% attendance for certification

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Skills You Will Learn

  • End-to-end Clinical Data Management lifecycle

  • Hands-on experience with EDC and coding systems

  • Base SAS Programming for clinical datasets

  • SQL for clinical data querying and validation

  • Designing and reviewing CRFs and DMPs

  • Automating data programming using Generative AI

  • Understanding of ICH-GCP, 21 CFR Part 11, and CSV

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Eligibility

  • Graduates/Postgraduates in Life Sciences, Pharmacy, Biotechnology, Nursing, BPT, MBBS, BDS, Allied Health, or Statistics/IT

Turn your interest in data into a rewarding career

Clinical Data Management is the backbone of every successful clinical trial—and companies worldwide are seeking skilled professionals who can manage, clean, and program data with precision and confidence.

The Diploma in Clinical Data Management and Programming is your stepping stone into a high-growth, global career in clinical research. This program not only builds your foundation in CDM practices but equips you with hands-on skills in SAS, SQL, and even Generative AI—making you job-ready for the most in-demand roles across CROs, pharma, and biotech companies.

Course Contents

Module 1: Clinical Research Foundation

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  • Drug Development Process & Clinical Trial Phases

  • Protocols, CRFs, eCRFs, and Study Designs

  • Roles of Biostatistics in Clinical Trials

  • Regulatory Overview (FDA, EMA, DCGI)

  • ICH-GCP Overview

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Module 2: Clinical Data Management (CDM)

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  • CDM Lifecycle & Roles

  • Case Report Form (CRF) Design

  • Data Management Plan (DMP)

  • Query Management, Discrepancy Resolution

  • Data Validation, Cleaning, and Locking

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Module 3: Clinical Data Management Systems (CDMS)

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  • Overview of EDC Platforms: Medidata Rave, Oracle RDC, Inform

  • User Access & Audit Trails

  • Title 21 CFR Part 11 Compliance

  • Computer System Validation (CSV) Essentials

  • Hands-on Simulated EDC Exercise

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Module 4: Clinical Coding

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  • WHO Drug and MedDRA Dictionaries

  • Coding of Adverse Events, Medical History, Medications

  • Dictionary Maintenance and Auto-coding

  • Best Practices & Audit Readiness

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Module 5: Base SAS Programming for Clinical Data

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  • Introduction to SAS and Clinical Trial Data

  • Data Steps, PROC SQL, PROC SORT, PROC FREQ

  • Data Manipulation, Transformation, and Cleaning

  • Report Generation: Tables, Listings, Figures (TLFs)

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Module 6: SQL Programming for Data Queries

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  • Introduction to Structured Query Language

  • Writing Queries for Clinical Trial Databases

  • Joins, Aggregates, Data Extraction for Validation

  • Integrating SQL in CDM Environments

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Module 7: Generative AI for CDM and Data Programming

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  • Overview of Generative AI in Life Sciences

  • Using LLMs for Data Querying, Code Generation

  • Prompt Engineering for CDM Scenarios

  • Automating SAS Reports and Query Responses

  • Ethical Use and Data Integrity

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Module 8: Project / Internship

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  • Capstone Project with Simulated Clinical Data

  • Design CRF, DMP, Conduct Data Entry, Cleaning

  • SAS & SQL-based Data Processing Task

  • Generative AI-based Reporting Demonstration

  • Final Viva with Industry Experts

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Code the Future of Medicine

Develop in-demand expertise in EDC systems, SAS/R/Python programming, data validation, and regulatory compliance, crucial for the increasingly data-driven clinical research landscape.

Launch Your Career in the Data Management and Programming

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