At a glance.
- College
- College of Family Physicians of South Africa
- Questions
- 526+
- Flashcards
- 219+
- Topics
- 25
CMSA-aligned · updated release over release
Know the format.
Everything below is pulled from the official CMSA documentation for this certification.
- Issuing body
- College of Medicine of South Africa
Upcoming sessions.
Imported from the CMSA’s published examination timetables. Always confirm the final date with the College before you plan.
- 01
1st Semester 2027
WrittenUpcoming2–3 Feb 2027
Exam parts, one section at a time.
The content is organised to match the official CMSA exam structure, so every minute of prep maps back to what you’ll be tested on.
- 01
Exit Examination
The exit examination consists of 2 online papers: an MCQ paper and a clinical data interpretation exam with multiple choice questions including media, laboratory results, and special investigations. No oral examination is required.
- 526
- Questions
- 219
- Flashcards
What you’re preparing for.
Written from the qualification’s own structure — exam parts, format, and the college that sets it.
The Dip HIV Man(SA) is the CMSA diploma in HIV management run by the College of Family Physicians of South Africa. The exit examination is written as two online papers — an MCQ paper and a clinical data interpretation paper covering media, laboratory results and special investigations.
Lorraine structures prep around that exact format, with question practice and flashcards that follow the syllabus the College examines against.
Other specialties.
Diploma in Allergology
College of Family Physicians of South Africa
- 818+
- Questions
- 344+
- Cards
- 13
- Topics
Diploma in Anaesthetics
College of Anaesthetists of South Africa
- 6,792+
- Questions
- 2,886+
- Cards
- 226
- Topics
Diploma in Child Health
College of Paediatricians of South Africa
- 1,754+
- Questions
- 688+
- Cards
- 17
- Topics
Start your Diploma in HIV Management of the College of Family Physicians of South Africa journey today.
Prepare for your Dip HIV Man(SA) certification with Lorraine’s adaptive learning engine.

