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Master by Coursework – UTeM FAIX

Universiti Teknikal Malaysia Melaka · UTeM

Master by Coursework

Programmes designed to advance knowledge and skills, developing new professional expertise in specific areas of study.

Select a programme

Admission Requirements – Master of Computer Science / Master of Technology
i.A Bachelor's degree (Level 6, MQF) in Computing or related fields with a minimum CGPA of 2.50, as accepted by the HEP Senate;
OR
ii.A Bachelor's degree (Level 6, MQF) in Computing or related fields with CGPA 2.00–2.49, subject to thorough rigorous assessment by the HEP;
OR
iii.A Bachelor's degree (Level 6, MQF) in a Non-Computing field with a minimum CGPA of 2.00, subject to assessment and identification of prerequisite courses equivalent to computing working experience;
OR
iv.A Bachelor's degree (Level 6, MQF) in a Non-Computing field with a minimum CGPA of 2.00, subject to appropriate prerequisite courses;
OR
v.Other qualifications equivalent to a Bachelor's degree (Level 6, MQF) in Computing or related fields recognised by the Government of Malaysia must fulfil requirements in item i or ii.
🌐 English Requirement (International Applicants) Achieve a minimum of Band 4 in MUET or equivalent to CEFR (Low B2). Students who do not meet this requirement must enrol in English proficiency courses offered by the HEP.
Important notes
  • All requirements are subject to HEP Senate approval
  • Rigorous assessment is determined by the HEP
  • Prerequisite courses are identified based on the applicant's field of study

Tap any programme above to view full details.

MQA/FA5653
Master in Cyber Security
This programme is specifically designed to equip students with security elements in information and communication technology related to management, data and infrastructure.
Coursework
  • Research Methodology
  • Security Audit and Assessment
  • Secure Software Development
  • Security Management Practices
  • Cryptography and Data Security
  • Cyber Threat Intelligence
  • Systems & Network Ethical Hacking
  • Project I
  • Project II
Electives (Choose 3)
  • Intrusion Detection & Prevention
  • Computer Forensics
  • Public Key Infrastructure
  • Watermarking
  • Defensive Programming
  • Cloud Security
Duration
  • Full time
    • Min: 1 year  |  Max: 3 years
  • Part time
    • Min: 2 years  |  Max: 4 years
Tuition Fees
CitizenRM 8,710.00
Non-CitizenRM 22,065.00

*Fees for the minimum period of study. Non-citizen fees are exclusive of SST.

Detailed Fee Structure by Semester

LOCAL STUDENT
Structure Semester 1
RM		 Semester 2
RM		 Semester 3
RM		 Semester 4 Onwards
RM		 Full Fee
RM
Registration Fee280.00----
Semester Fee310.00310.00310.00310.00-
Tuition Fee3,750.002,250.001,500.00--
TOTAL PROGRAM FEE4,340.002,560.001,810.00310.008,710.00

*Fees for the minimum period of study.

INTERNATIONAL STUDENT
Structure Semester 1
RM		 Semester 2
RM		 Semester 3
RM		 Semester 4 Onwards
RM		 Full Fee
RM
Orientation Programme Fee110.00----
Registration Fee20.00----
Alumni Fee100.00----
Student ID Card50.00----
Activities Fee15.0015.0015.0015.00-
Charity Fee15.0015.0015.0015.00-
UTeM Services Fee280.00280.00280.00280.00-
Tuition Fee4,725.003,937.501,837.50--
Operational Fee3,625.502,942.00---
Administration Fee--3,787.50--
Examination Fee---2,500.00-
Total Program Fees8,940.507,189.505,935.00310.0022,065.00
6% Sales & Service Tax (SST)536.43431.37356.1018.60-
TOTAL PROGRAM FEE (6% SST INCLUSIVE)*9,476.937,620.876,291.10328.6023,388.90

*Fees for the minimum period of study. International student fees are exclusive of SST until calculated in the table above.

MQA/FA9613
Master of Technology in Data Science and Analytics
This programme is specifically designed to equip students with the core and utilisation of knowledge, technical skills, and the latest technology in the field of Data Science and Analytics.
Coursework
  • Research Methodology
  • Fundamental of Data Science
  • Big Data Management
  • Applied Statistical Methods
  • Applied Machine Learning
  • Big Data Analytics & Visualization
  • Modelling & Decision Making
  • Project I
  • Project II
Electives (Choose 3)
  • Special Topics in Applied Data Science
  • Manufacturing Analytics
  • Social Media Analytics
  • Geospatial Analytics
  • Healthcare Analytics
  • Tourism Analytics
  • Customer & Financial Analytics
  • Entrepreneurship
Duration
  • Full time
    • Min: 1 year  |  Max: 3 years
  • Part time
    • Min: 2 years  |  Max: 4 years
Tuition Fees
CitizenRM 11,910.00
Non-CitizenRM 30,465.00

*Fees for the minimum period of study. Non-citizen fees are exclusive of SST.

Detailed Fee Structure by Semester

LOCAL STUDENT
Structure Semester 1
RM		 Semester 2
RM		 Semester 3
RM		 Semester 4 Onwards
RM		 Full Fee
RM
Registration Fee280.00----
Semester Fee310.00310.00310.00310.00-
Tuition Fee4,200.002,400.00900.00--
Certification (IMTQN)1,600.001,600.00---
TOTAL PROGRAM FEE6,390.004,310.001,210.00310.0011,910.00

*Fees for the minimum period of study (1 year). The SST row is calculated at the standard 6% rate on the Program Fee.

INTERNATIONAL STUDENT
Structure Semester 1
RM		 Semester 2
RM		 Semester 3
RM		 Semester 4 Onwards
RM		 Full Fee
RM
Orientation Programme Fee110.00----
Registration Fee20.00----
Alumni Fee100.00----
Student ID Card50.00----
Activities Fee15.0015.0015.0015.00-
Charity Fee15.0015.0015.0015.00-
UTeM Services Fee280.00280.00280.00280.00-
Tuition Fee4,725.001,837.501,575.00--
Operational Fee8,893.006,862.00---
Administration Fee--3,000.00--
Examination Fee---2,500.00-
Total Program Fees14,208.009,009.507,247.50310.0030,465.00
6% Sales & Service Tax (SST)852.48540.57434.8518.60-
TOTAL PROGRAM FEE (6% SST INCLUSIVE)*15,060.489,550.077,682.35328.6032,292.90

*Fees for the minimum period of study. International student fees are exclusive of SST until calculated in the table above.

MQA/PA17473
Master of Technology in Data Science and Analytics
This programme is designed for recent graduates and industry practitioners with strong analytical and computing skills. It provides foundational and applied knowledge, equipping students with the ability to analyse big data, use advanced data science tools, and apply analytics techniques across various domains. Conducted through Open and Distance Learning (ODL), the programme offers flexible learning through online activities and scheduled sessions, making it suitable for working professionals. Graduates will be prepared for careers as data scientists, data analysts, and other professionals in the growing field of data science.
Coursework
  • Research Methodology
  • Fundamental of Data Science
  • Big Data Management
  • Applied Statistical Methods
  • Applied Machine Learning
  • Big Data Analytics & Visualization
  • Modelling & Decision Making
  • Project I
  • Project II
Electives (Choose 3)
  • Manufacturing Analytics
  • Social Media Analytics
  • Healthcare Analytics
  • Customer & Financial Analytics
  • Entrepreneurship
Duration
  • Full time
    • Min: 1 year  |  Max: 6 years
Tuition Fees
Full time
CitizenRM 25,110.00
Non-CitizenRM 43,410.00

*Fees for the minimum period of study. Non-citizen fees are exclusive of SST.

Detailed Fee Structure by Semester (Full-Time)

LOCAL STUDENT
Structure Semester 1
RM		 Semester 2
RM		 Semester 3
RM		 Semester 4 Onwards
RM		 Full Fee
RM
Registration Fee280.00----
Semester Fee310.00310.00310.00310.00-
Tuition Fee8,700.007,200.004,800.00--
Certification (IMTQN)1,000.001,000.001,200.00--
TOTAL PROGRAM FEE10,290.408,510.006,310.00310.0025,110.00

*Fees for the minimum period of study (full-time).

INTERNATIONAL STUDENT
Structure Semester 1
RM		 Semester 2
RM		 Semester 3
RM		 Semester 4 Onwards
RM		 Full Fee
RM
Registration Fee280.00----
Semester Fee310.00310.00310.00310.00-
Tuition Fee15,600.0012,600.008,400.00--
Certification (IMTQN)2,800.002,800.00---
Program Fee*18,990.0015,710.008,710.00310.0043,410.00
6% Sales & Service Tax (SST)1,139.40942.60522.6018.60-
TOTAL PROGRAM FEE (6% SST INCLUSIVE)*20,129.4016,652.609,232.60328.6046,014.60

*Fees for the minimum period of study (full-time). International student fees are exclusive of SST until calculated in the table above.

Faculty of Artificial Intelligence and Cyber Security
Universiti Teknikal Malaysia Melaka (UTeM)
[email protected] +606 229 2124
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