Entry Requirement
A Bachelor’s Degree (honours) in area focusing on numeracy skills including computing, engineering, mathematics, physical sciences and other fields that have sound statistical and computing background, with good grades (minimum CGPA of 2.5 or equivalent) from UTeM or any other institutions of higher learning recognised by the Senate.
Curriculum Structure
Course Category |
Number of courses |
Credit Hours |
University’s Course |
2 |
6 |
Core |
6 |
18 |
Project |
2 |
10 |
Elective |
2 |
6 |
Total |
12 |
40 |
List of Courses
University’s Course
No. | Course’s Code | Core Course | Credit |
1 | MPSW5013 | Research Methodology | 3 |
2 | MPSW5063 | Entrepreneurship | 3 |
Core Course
No. | Course’s Code | Core Course | Credit |
1 | MTDS 5113 | Fundamental of Data Science | 3 |
2 | MTDS 5123 | Big Data Management | 3 |
3 | MTDS 5133 | Applied Statistical Methods | 3 |
4 | MTDS 5143 | Applied Machine Learning | 3 |
5 | MTDS 5153 | Big Data Analytics and Visualization | 3 |
6 | MTDS 5163 | Modelling and Decision Making | 3 |
Elective Courses (Select TWO only)
No. | Course’s Code | Credit | |
1 | MTDS 5213 | Special Topics in Applied Data Science | 3 |
2 | MTDS 5223 | Manufacturing Analytics | 3 |
3 | MTDS 5233 | Social Media Analytics | 3 |
4 | MTDS 5243 | Geospatial Analytics | 3 |
5 | MTDS 5253 | Healthcare Analytics | 3 |
6 | MTDS 5263 | Tourism Analytics | 3 |
7 | MTDS 5273 | Logistics and Transportation Analytics | 3 |
8 | MTDS 5283 | Customer and Financial Analytics | 3 |
Project
No. | Course’s Code | Project | Credit |
1 | MTPU 5314 | Project I | 4 |
2 | MTPU 5326 | Project II | 6 |
Mode of Learning & Duration of Study:
- Full-Time
Minimum: 1 year (2 long semester and 1 short/special semester)
Maximum: 3 year (6 long semester and 3 short/special semester)
- Part-Time
Minimum: 2 year (4 long semester and 2 short/special semester )
Maximum: 4 year (8 long semester and 4 short/special semester)