Syllabus, duration, outcomes & jobs :

If you want a clinical-data career without leaving Bangalore, BCRI’s online Clinical SAS programming course is a practical starting point. You’ll learn Base and Advanced SAS, understand CDISC standards (SDTM, ADaM), and practice creating submission-ready outputs like TLFs. This guide explains exactly what’s covered, how it aligns to SAS certifications, and what roles you can target in Bengaluru’s growing clinical-trials ecosystem.

What is BCRI’s online Clinical SAS course? 

BCRI (Bangalore Clinical Research Institute) delivers a live online Clinical SAS programme that focuses on the tools and standards used in clinical-trial data preparation and reporting. The headline modules are Base SAS 9.4, Advanced SAS (macros and SQL), and CDISC standards (SDTM & ADaM). Delivery includes live interactive classes, class recordings, assignments/projects, and e-books/datasets for practice.

Who it’s ideal for. The programme is designed for life-science graduates—biotech, pharmacy, medicine—and working professionals who want to shift into clinical data management or statistical programming. If you can commit a few hours daily over a few months, it’s an accessible path to a regulated, in-demand niche.

Delivery & platform. Sessions are live (with two-way interaction) and supported by recordings so you can revise or catch up. BCRI’s broader portfolio (e.g., Online PG Diploma) indicates the institute has the necessary live-online infrastructure to run longer cohorts and assessments.

Duration & schedule. BCRI/partner promotions have historically cited ~3 months for the Clinical SAS online track; schedules and intensity can vary by cohort. Confirm exact dates and pacing with BCRI before enrolling.

Key takeaway: BCRI’s course is built around SAS + CDISC—the pair that powers submission-grade clinical data work—delivered in a live online format with project work and recordings.

Syllabus & hands-on skills you’ll gain 

The value of a Clinical SAS course lies in what you can produce—clean datasets, compliant structures, and reproducible TLFs. Below is a realistic breakdown of what you should expect to learn and build. 

Base SAS 9.4: your foundation 

You’ll start with data steps and procedures: 

• Import/export clinical datasets (CSV, Excel, SAS7BDAT). 

• Clean and transform patient-level data (missing data handling, formats/informats). 

• Explore data with PROC FREQ, PROC MEANS, and PROC UNIVARIATE; derive key variables (e.g., visit windows). 

• Merge & append study datasets; create subject-level analysis files. 

• Basic reporting (PROC REPORT, PROC TABULATE). 

Outcome: you’ll comfortably manipulate raw trial data into tidy structures ready for mapping to CDISC layers.  

Advanced SAS: macros & SQL for real-world speed 

Clinical programming is repetitive; you’ll use macro variables, macro functions, and macro programs to automate pipelines, plus PROC SQL for joins, summaries, and performant queries across large domains. Expect to write macros that parameterise TLF shells and generate outputs per population (ITT/PP/Safety). [1][2] 

CDISC SDTM: standardising study tabulations 

SDTM provides a common format for submission tabulations across domains (DM, AE, LB, VS, etc.). You’ll learn to map CRF-level raw data into SDTM structures using controlled terminology and to validate against define.xml and Pinnacle 21-like checks. Outcome: study-wide SDTM datasets with traceability.  

CDISC ADaM: analysis-ready data with traceability 

ADaM models (e.g., ADSL, ADAE, ADLB) link analyses to SDTM with clear traceability and derivation rules. You’ll create ADaM datasets suited for efficacy/safety outputs, ready for statistical procedures and TLF generation. ADaM is required by FDA/PMDA in submissions.

TLFs & submission artefacts 

You’ll practise building Tables, Listings, and Figures (TLFs) to statistical shells—e.g., adverse event summaries by SOC/PT, lab shift tables, and Kaplan-Meier plots for time-to-event outcomes—using SAS procedures. You’ll also learn the basics of Define.xml for submission metadata. 

Mini-project: end-to-end build 

A typical capstone ties it together: 

1. Raw → SDTM mapping (DM, AE, LB, VS). 

1. SDTM → ADaM derivations (ADSL, ADAE, ADLB). 

1. TLFs according to shells (safety & efficacy). 

1. Validation (double-programming checks/peer review). 

What you’ll have at the end: a small portfolio (SDTM/ADaM datasets, TLFs, and a README showing traceability) that you can reference in interviews.

How BCRI maps to SAS certifications 

The two credentials that matter most when aiming for CROs/biopharma roles: 

1. SAS Certified Specialist: Base Programming Using SAS 9.4 — validates your Base skills. 

1. SAS Certified Professional: Clinical Trials Programming Using SAS 9.4 — validates clinical-domain programming (SDTM, ADaM, TLFs, reporting).  

BCRI’s modules broadly align to these skill sets: 

Prep timeline. Many learners target Base within 6–10 weeks, then spend another 6–10 weeks on clinical content before scheduling the Clinical Trials exam. Pace varies by prior programming experience.

Tip: Use exam blueprints & sample questions on SAS.com, practise on study-like datasets, and rehearse common derivations (e.g., censoring rules, visit windows, treatment emergent flags). 

Outcomes: roles, salaries & employers in Bengaluru 

Roles you can target (entry to mid) 

• Clinical SAS Programmer / Statistical Programmer (focus on SDTM/ADaM/TLFs). 

• Data Analyst (Clinical) or CDM SAS Programmer (cleaning, listings, reconciliation). 

• Biostatistics Programming Associate (supporting statisticians with analysis datasets). 

Where these roles sit: CROs (e.g., IQVIA, Parexel, ICON, Labcorp), pharma/biotech affiliates, and analytics hubs. 

Why Bengaluru right now? 

• India’s trials market is expanding: multiple firms project robust growth (CAGR ~8–9%), with 2024 market estimates between USD 1.42–1.99B depending on methodology.  

• CRO expansion: Parexel announced plans (Feb 2025) to add 2,000+ roles in India over 3–5 years; it runs 100–150 trial sites nationally, including Karnataka.  

• Biopharma investment in Bengaluru: AstraZeneca allocated ₹166 crore (June 2025) to expand its Bengaluru operations, adding ~400 jobs and deepening analytics/clinical capabilities.  

• Active job boards: From IQVIA Bengaluru openings to nationwide listings for Clinical SAS Programmer, vacancy flow remains steady.

What this means for you: A Bangalore-based Clinical SAS skill set is aligned to growing local demand—in CROs, pharma GICs, and data/analytics functions that support clinical development.

Admissions, fees, and how to enroll 

Eligibility & prerequisites 

BCRI targets graduates/postgraduates in life sciences, pharmacy, or medicine. Comfort with basic statistics and spreadsheets helps; prior coding is not mandatory but accelerates learning.  

Fees & EMIs 

The accessed BCRI page doesn’t publicly list fees for the Clinical SAS course; contact BCRI for the current fee, EMI options, and cohort schedule. 

How to enquire/enrol 

• Address: 19/19 Chandrodaya Complex, 2nd Floor, 24th Main, Agara Sector 1, HSR Layout, Bangalore 560102. 

• Phone: +91-9403890582 | Email: info@bcri.in 

• Mon–Fri: 9:00 AM – 6:30 PM 

• Ask for a free demo or join a webinar to sample the teaching style.  

BCRI vs. alternatives (SAS Academy & others): Which one fits?

How to choose:

• If your priority is official SAS credentials with licensed environments and global brand signal, the SAS Academy route is compelling. [2][3] 

• If you want industry-specific mentoring, Bangalore context, and placement assistance through an institute ecosystem you can call or visit, BCRI is attractive. You can still sit the SAS exams after BCRI training.  

FAQs 

1) How long is BCRI’s online Clinical SAS course?
Recent promotions indicate ~3 months, but cohort schedules can vary. Confirm with BCRI’s counsellor.  

2) Do I need prior coding?
No. Basic computing and statistics help; the programme starts with Base SAS.  

3) Will I learn SDTM & ADaM?
Yes—these are core modules because they underpin submission-grade analysis datasets.  

4) Can I attempt SAS certification after this?
Yes. The curriculum maps to SAS Base and Clinical Trials Programming exam objectives; plan your prep accordingly. 

5) Will I get recordings?
BCRI cites class recordings for revision. 

6) What projects will I complete?
Expect an end-to-end mini-project mapping raw → SDTM → ADaM → TLFs with validation.  

7) What roles can I target in Bengaluru?
Clinical/Statistical Programmer roles at CROs, pharma/biotech, and analytics hubs; job boards show active postings.  

8) Is the market really growing?
Yes—India’s clinical-trials market shows ~8–9% CAGR in independent assessments; CROs are expanding; Bengaluru sees fresh investment.  

9) How do I contact BCRI?
Call +91-9403890582 or email info@bcri.in; address in HSR Layout, Bangalore. Ask for a free demo.  

 Final thoughts

If you’re a life sciences graduate in Bangalore aiming for a regulated data career, Clinical SAS remains the fastest and most employer-recognised route. BCRI’s live online delivery, SAS + CDISC focus, and local placement support make it a pragmatic choice. Pair the course with SAS certification prep, build a small portfolio of SDTM/ADaM datasets and TLFs, and you’ll be interview-ready for Bengaluru CROs. 

Next step: Book a free demo or call +91-9403890582 to confirm the next cohort’s start date, duration, and fees. [1]