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Master of Technology (Taught Course)

Course offered:

Duration of Study and Mode of Learning:

  • 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)


Master of Technology (Data Science and Analytics)

The Master of Technology (Data Science and Analytics) is aimed at recent graduates and industry practitioners from various academic discipline with strong analytic and computing skills or experience. The programme is designed to equip the students with fundamental and applied knowledge, technical skill, and current technologies in Data Science and Analytics area. These include the fundamental principles of data science, the capability to analyse a diversity of big data, the skills of using data science tools and applying the data analytics techniques to various domain, as well as the capability to present the analytics results to the intended audience. The programme’s delivery modes are through lectures, lab session, and industrial projects, emphasise on state-of-the-practice techniques, tools and technology, and recognised methodology through university-industry collaborations. Graduates from this programme will have career opportunities as data scientists, data analysts and many more.

Entry Requirement:

  1. 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:

No. Course’s Code University’s Course Credit
1 MPSW5013 Research Methodology 3
2 MPSW5063 Entrepreneurship 3
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
No. Course’s Code Project Credit
1 MTPU 5314 Project I 4
2 MTPU 5326 Project II 6
No. Course’s Code Elective Courses (Select TWO only) 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
7 MTDS 5263 Tourism Analytics 3
8 MTDS 5273 Logistics and Transportation Analytics 3
9 MTDS 5283 Customer and Financial Analytics 3

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Master of Technology (Software and App Development)

Master of Technology (Software and App Development) is designed to meet the demand for highly skilled mobile apps developer and content experts for platforms such as IOS and Android. The programme is meant to equip the students with content design alongside software development skills that can be applied especially in apps development. The programme’s delivery modes are through lectures, lab session, and industrial projects, emphasise on state-of-the-practice techniques, tools and technology, and recognised methodology through university-industry collaborations. Graduates from this programme will have career opportunities as mobile developer, mobile solution architect and many more.

Entry Requirement:

  1. A Bachelor’s Degree in computing or related fields from UTeM or any other institutions of higher learning recognised by the Senat with (minimum CGPA of 2.5 or equivalent).
  2. Other degree equivalent to Computer Science degree and 2 years of experience in related field which recognized by UTeM 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:

No. Course’s Code University’s Course Credit
1 MPSW5013 Research Methodology 3
2 MPSW5063 Entrepreneurship 3
No. Course’s Code Core Course Credit
1 MTMD5113 Native Mobile Development I 3
2 MTMD5123 Internet of Things Development 3
3 MTMD5133 User Experience Design & User Interface Practice 3
4 MTMD5143 Mobile Analytic 3
5 MTMD5153 Mobile Testing 3
6 MTMD5163 Mobile Back-end 3
No. Course’s Code Project Credit
1 MTPU5314 Project I 4
2 MTPU5326 Project II 6
No. Course’s Code Elective Courses (Select TWO only) Credit
1  MTMD5213 Agile Project Management 3
2  MTMD5223 Mobile App Architecture 3
3  MTMD5233 Native Mobile Development II 3
4  MTMD5243 Mobile Security and Privacy 3

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Further information or for admission: