Informatics · Faculty of Engineering · UKWMS
Informatics, built for what comes next.
Two focused tracks — Artificial Intelligence & Data Science, and Software Engineering — taught in small cohorts, with laboratories, industry projects and research you join from the first year.
- Faculty established
- 1982
- Specialisation tracks
- 2
- Credits to graduate
- 144
- Lecturer to student ratio
- 1:12
Faculty of Engineering, UKWMS
AI & Data Science · Software Engineering
Eight-semester undergraduate degree
Placeholder pending official data
Specialisations
One degree. Two decisive paths.
The first four semesters are shared. After that you choose a direction — and you choose it after trying both, not before.
How we teach
Small, demanding, and close to real work.
01
Learn by building
Every semester ends in something that runs — a model, a service, a shipped product — reviewed the way industry reviews work.
02
Research from year one
Undergraduates join work in artificial intelligence, IoT, cybersecurity and applied machine learning, and co-author with their supervisors.
03
Taught by practitioners
Lecturers who publish, consult and ship. Class sizes stay small enough that they know your work by name.
04
Grounded in values
Pancasila and Catholic values shape how we teach technology: useful, honest, and answerable to the people it serves.
Research
Research you can join from your second year.
Four active groups, from data science to cybersecurity. Undergraduates co-author — they are not fetching data.
News
Latest from the department
News could not be loaded right now. Please try again later.
Facilities
Laboratories that actually get used.
An integrated computing lab, a software engineering studio, and a networking and IoT bench — open outside timetabled classes, not only during practicals.
- Integrated Computing Laboratory40 seats
- AI & Data Science Workspace24 seats
- Software Engineering Studio24 seats
- Networking & IoT Bench28 seats