Master in Artificial Intelligence (By Coursework & Project)
- Key Information
Course Name:
Master in Artificial Intelligence (By Coursework & Project)
University Name:
Universiti Tenaga Nasional (UNITEN)
Campus:
Putrajaya
Qualification:
Master
Duration:
1 years
Intake:
January, September
IELTS:
6.0
Study Mode:
On-campus
Study Type:
Full time study
Program Mode:
Mixed Mode
Yearly Tuition Fees
| Year | Fee |
|---|---|
| 1st Year | MYR 37,000 |
Other Fees
| Category | Fees |
|---|---|
| Application Fee | MYR 1,100 |
| EMGS Application Fee (Visa) | MYR 2,850 |
| Registration Fee | MYR 7,000 |
+University fees for this course do not include 6% tax (SST)
Campus
Putrajaya
Qualification
Master
Duration
1 years
Intake
January, September
IELTS
6.0
Study Mode
On-campus
Study Type
Full time study
Program Mode
Mixed Mode
Course Fee for International Students
Yearly Tuition Fees
| Year | Fee |
|---|---|
| 1st Year | MYR 37,000 |
Other Fees
| Category | Fees |
|---|---|
| Application Fee | MYR 1,100 |
| EMGS Application Fee (Visa) | MYR 2,850 |
| Registration Fee | MYR 7,000 |
+University fees for this course do not include 6% tax (SST)
Course Overview
The Master in Artificial Intelligence (By Coursework & Project) at UNITEN (Universiti Tenaga Nasional) is a cutting-edge program designed to transform computer scientists into AI Specialists. This program is structured to fast-track your expertise in the most disruptive technologies of our time. You will move beyond basic theory to master Advanced Machine Learning, Computer Vision (how machines see), and Natural Language Processing (how AI understands speech). With a heavy emphasis on Python Programming and Algorithms, you will gain the technical capability to build, train, and deploy real AI models. Crucially, the curriculum integrates AI Ethics, ensuring you are prepared to lead responsible AI initiatives in a corporate setting.
Curriculum
Programme Structure
| Category | Subjects |
|---|---|
| Semester I |
|
| Semester II |
|
| Semester III |
|
| Elective Subjects (Choose 3) |
|
| Notes |
The project spans Semesters II and III, with submission and evaluation in Semester III. |
Field of Research
N/A