COURSE OFFERED

  • Master of Technology (Data Science and Analytics)
  • Master of Technology (Software and App Development)


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)

 


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:
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 CategoryNumber of coursesCredit Hours
University’s Course26
Core618
Project210
Elective26
Total1240

List of Courses:

No.Course’s CodeUniversity’s CourseCredit
1MPSW5013Research Methodology3
2MPSW5063Entrepreneurship3
No.Course’s CodeCore CourseCredit
1MTDS 5113Fundamental of Data Science3
2MTDS 5123Big Data Management3
3MTDS 5133Applied Statistical Methods3
4MTDS 5143Applied Machine Learning3
5MTDS 5153Big Data Analytics and Visualization3
6MTDS 5163Modelling and Decision Making3
No.Course’s CodeProjectCredit
1MTPU 5314Project I4
2MTPU 5326Project II6
No.Course’s CodeElective Courses (Select TWO only)Credit
1MTDS 5213Special Topics in Applied Data Science3
2MTDS 5223Manufacturing Analytics3
3MTDS 5233Social Media Analytics3
4MTDS 5243Geospatial Analytics3
5MTDS 5253Healthcare Analytics3
7MTDS 5263Tourism Analytics3
8MTDS 5273Logistics and Transportation Analytics3
9MTDS 5283Customer and Financial Analytics3

 


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 CategoryNumber of coursesCredit Hours
University’s Course26
Core618
Project210
Elective26
Total1240

List of Courses:

No.Course’s CodeUniversity’s CourseCredit
1MPSW5013Research Methodology3
2MPSW5063Entrepreneurship3
No.Course’s CodeCore CourseCredit
1MTMD5113Native Mobile Development I3
2MTMD5123Internet of Things Development3
3MTMD5133User Experience Design & User Interface Practice3
4MTMD5143Mobile Analytic3
5MTMD5153Mobile Testing3
6MTMD5163Mobile Back-end3
No.Course’s CodeProjectCredit
1MTPU5314Project I4
2MTPU5326Project II6
No.Course’s CodeElective Courses (Select TWO only)Credit
1 MTMD5213Agile Project Management3
2 MTMD5223Mobile App Architecture3
3 MTMD5233Native Mobile Development II3
4 MTMD5243Mobile Security and Privacy3