1. Python Programming Fundamentals
Sessions 1–3- ›Syntax, control flow and core language fluency
← Higher Education
🐍Python & Software Engineering
From first script to shipped software.
From core language fluency to production-grade software practice: data structures, databases, APIs and version control, giving students the single most requested technical language across every industry NASCA works with.
- 30 sessions
- 10 modules
- Proficiency level
- Recommended: no prior programming experience required
- One academic year, 2 sessions a week at 1 hour each
- Institution-enrolled, live instruction
Quick answer
Python & Software Engineering is a proficiency programme from NASCA: 30 sessions, taught live by a NASCA instructor, closing with a NASCA × World STEM Federation certificate.
From first script to shipped software.
What you'll learn
- ✓
Write clean, correct Python using strong programming fundamentals and object-oriented design
- ✓
Apply core data structures and algorithms to solve real problems efficiently
- ✓
Work with databases, APIs and the web development stack
- ✓
Practise professional software engineering: version control, testing and applied industry projects
Skills you'll gain
- Python Programming
- Object-Oriented Programming
- Data Structures & Algorithms
- Python for Data Science
- Scientific & Numerical Computing
- SQL & Database Design
- Web & API Development
- Automation & Scripting
- Git & Software Testing
- Applied Software Projects
Tools you'll use
- Python
- NumPy / SciPy
- Pandas
- SQL (PostgreSQL / MySQL)
- Flask / FastAPI
- Git / GitHub
- pytest
Details to know
- •WSF-accredited, individually verifiable Proficiency certificate
- •Taught in English
- •Live instructor-led sessions, delivered inside your institution's calendar
Programme overview
A full-year Proficiency specialisation that moves students from first script to shipped software, ending where industry starts: version control, testing and a real application defended in front of faculty.
Applied learning project
In the final module students design, build and test a real software application, using version control and a proper testing suite, presented and defended as their capstone.
The curriculum
2. Object-Oriented Programming
Sessions 4–6- ›Designing with classes, objects and clean architecture
3. Data Structures & Algorithms
Sessions 7–9- ›The building blocks of efficient software
4. Python for Data Science
Sessions 10–12- ›Working with data programmatically
5. Scientific & Numerical Computing
Sessions 13–15- ›Computation for engineering and analysis
6. Database & SQL Programming
Sessions 16–18- ›Designing and querying real databases
7. Web & API Development
Sessions 19–21- ›Building and connecting real web services
8. Automation & Scripting
Sessions 22–24- ›Using Python to automate real workflows
9. Software Engineering, Git & Testing
Sessions 25–27- ›Professional practice: version control and test-driven development
10. Python Applications & Industry Projects
Sessions 28–30- ›A complete applied build, and the capstone
Earn a certificate
Complete all 30 sessions and the capstone to earn a WSF-accredited Proficiency certificate in Python & Software Engineering.
Offered by NASCA, accredited by the World STEM Federation.
Run Python & Software Engineering with your next cohort.
Tell us your department, cohort size and academic calendar. We quote after one conversation, not before.