Diploma · 6 Months
Diploma in Data Analytics.
Data analytics course involves the examination, interpretation, and visualisation of raw data to uncover meaningful insights, patterns, and trends.
- Award
- Diploma
- Duration
- 6 Months
- Tuition (Ghanaian)
- GHC 8,000
- Intakes
- Every 2 months
Practical80% of learning is labs, projects and real scenarios.
Overview
About the diploma.
Through the use of statistical methods, algorithms, and visualisation tools, data analysis enables informed decision-making and helps extract valuable information from complex datasets across various fields such as business, science, and research.
- Level
- Career-focused diploma; move into work, or into a BSc, straight after.
- Campus
- Nima-Kanda and Spintex, Accra.
- Mode
- Weekday batch (two days a week, morning 10:00 AM – 12:00 PM or evening 6:00 PM – 8:00 PM) or weekend batch (Saturday 10:00 AM – 2:30 PM); four credit hours a week. One batch, not both.
- Intakes
- A new intake every two months: January, March, May, July, September and November.
What you’ll study
The syllabus.
Detailed syllabus PDF to follow. Ask admissions for the current module outline.
Modules
- Module 1 – Introduction To Data Analysis
- Module 2 – Excel For Data Analysis
- Module 3 – Database Management & SQL
- Module 4 – Microsoft Power BI
Projects and topics
- Interactive dashboard using Excel using Call Centre Data
- Building an Employee management system for a Company using SQL and MySQL Workbench
- Using COVID-19 pandemic Data for Insight Analysis and creating an Interactive Dashboard using Power BI
- Finding Patterns and Insight from E-commerce data using Power BI visualisation tools
Entry requirements
Who can apply.
Requirements
- Basic understanding of Computers and IT
- WASSCE or Certification in IT
- Laptop (minimum: i5 processor, 8 GB RAM)
Documents to bring
- A valid photo ID (Ghana Card, passport or student ID)
- Your results slip or certificate
- One passport photograph
Fees
Tuition, January 2026.
In Ghana Cedis. A minimum of 50% of tuition confirms your place; the balance can be paid in instalments. All fees & scholarships
| Fee | Ghanaian | Non-Ghanaian |
|---|---|---|
| Tuition (whole programme) | GHC 8,000 | GHC 10,000 |
| Application (form) fee, one-time | GHC 200 | GHC 600 |
Careers
Where it leads.
See where your skills can take you. These are typical gross monthly salaries in Ghana cedis, from our 2025–2026 research into the Ghanaian job market, raised by about 10% for the 2026 official pay rise. Real pay moves with experience, employer and the market.
| Role | Starting (0–2 years) | Experienced (5+ years) |
|---|---|---|
| Data Analyst | GHC 2,750 – 5,000 | GHC 6,000 – 10,000 |
| Business Intelligence Analyst | GHC 3,250 – 5,500 | GHC 6,000 – 11,000 |
| Finance & Data Analyst | GHC 3,250 – 5,000 | GHC 6,000 – 10,000 |
| Operations Analyst | from GHC 2,750 | |
| Reporting Analyst | from GHC 2,750 | |
How to apply
Five steps to a confirmed place.
Apply online or at either campus. Documents are reviewed once your application fee is received.
- 01
Register
Create an account and apply online.
- 02
Pay application fee
Pay the one-time application fee.
- 03
Submit documents
Once your fee is received, submit your documents.
- 04
Choose Payment Plan
Accept the recommended plan or choose your own.
- 05
Pay school fees
Once your documents and payment plan are approved.
Admission deadlines
Degree programmes (BSc)
- Session 1
- Opens first week of November · closes last week of March
- Session 2
- Opens first week of April · closes last week of August
Intakes
Diplomas & short courses
A new intake starts every two months.
Intake months: January, March, May, July, September, November.
Common questions
About this programme.
How to apply for the Data Analytics Course at SIIMT?
Apply online through the SIIMT application portal or at the Nima-Kanda or Spintex campus, pay the one-time application fee, submit your documents, agree a payment plan, and pay your fees. SIIMT then issues your admission confirmation and Student Portal login.
What are the prerequisites for this Course?
The entry requirements for this programme are: Basic understanding of Computers and IT; WASSCE or Certification in IT; Laptop (minimum: i5 processor, 8 GB RAM). See Entry requirements above for the documents to bring.
Is the Data Analytics Course suitable for beginners?
Yes, this Course is designed to accommodate beginners. It covers foundational concepts and gradually progresses to advanced topics. The curriculum is tailored to help students with varying levels of experience.
What career opportunities are available after completing the Data Analytics Course?
Typical roles include Data Analyst, Business Intelligence Analyst, Finance & Data Analyst, Operations Analyst and Reporting Analyst. The Careers section above shows typical monthly pay in Ghana cedis.
Can I pursue the Data Analytics Course part-time or online?
Yes. SIIMT offers part-time study: classes are held on campus, in a weekday batch or a weekend batch, so you can study alongside work. Online study is not offered. The days and times are under Overview.
How we teach
Taught the way the work is done.
Most of your time is spent doing: labs, projects and real scenarios, guided by practitioners who have done the work themselves.
- Industry practitioners
- Learn from lecturers with real-world experience.
- Updated syllabus
- A modern, industry-aligned curriculum for a changing world.
- Career support
- Guidance, mentorship and pathways to the job market.
80%of learning is practical: labs, projects and real scenarios.
Accreditation and recognition
SIIMT is accredited by the Ghana Tertiary Education Commission (GTEC) to offer undergraduate programmes in affiliation with the University of Cape Coast (UCC), registered with CTVET for technical and vocational education, and accredited at Tier 2 by Ghana’s Cyber Security Authority (CSA), with progression toward Tier 1 accreditation underway.
GTECAccredited- UCCAffiliated
- CTVETRegistered
- CSATier 2
Your next chapter starts here
Ready to take the next step?
Apply online, or speak to our admissions team at the Nima-Kanda or Spintex campus.
Nima-Kanda 057 080 1631
Spintex 057 644 4457
