Master in Data Science
Data Science (MCSD)
PROGRAMME SPECIFICATIONS
The Master in Data Science is a coursework programme offered on a full-time basis at the UTM Main Campus in Johor Bahru. The duration of study for the full-time programme is subjected to the student’s entry qualifications and lasts between one year to a maximum of four (4) years.
In our Master of Data Science program, candidates will not only learn to apply data science techniques but also gain deep insights into the underlying principles and methods. This comprehensive understanding empowers students to develop innovative solutions to emerging challenges in data science. Additionally, students will have the opportunity to tackle problems specific to various scientific disciplines, integrating domain knowledge with cutting-edge data analysis methods and tools.
Further Information
ASSOC. PROF. TS. DR. NOR ERNE NAZIRA BINTI BAZIN
Post Graduate Academic Manager
Faculty of Computing
Universiti Teknologi Malaysia
81310 UTM Johor Bahru, Johor, Malaysia
Email : pgam@utm.my
OR
Program Coordinator
DR. HASLINA BINTI HASHIM
Email : mds-fc@utm.my
Course Menu
Admission Requirements for Master’s in Data Science (MDS) Programme, Faculty of Computing (FC), Universiti Teknologi Malaysia (UTM)
1. General University Requirements
Applicants must meet one of the following criteria:
1.Bachelor’s Degree Holders
•Bachelor’s Degree in Computer Science or equivalent, or
•Bachelor’s Degree in Science, Technology, Engineering, Mathematics (STEM), or a related field recognised by the University Senate.
With the following academic achievement:
•CGPA ≥ 3.00: Direct admission.
•CGPA 2.75 – 2.99: Subject to internal evaluation.
•CGPA < 2.75: Must have at least 5 years of relevant working experience.
2.Diploma Holders
•Diploma in STEM or related fields from a recognised university.
•At least 5 years of relevant working experience.
•Pass APEL T-7 (Accreditation of Prior Experiential Learning).
2. Specific Requirements
For applicants with a Bachelor’s Degree in Social Sciences or equivalent:
•Must have a credit in Mathematics / Statistics at degree level, or
•Credit in Mathematics, or
•Pass with credit in Additional Mathematics at SPM (or equivalent high school level), and
•Fulfil additional prerequisites set by the university.
3. English Language Requirements
Applicants must meet one of the following:
1.MUET: Minimum Band 4.0.
2.IELTS / IELTS Online: Minimum Band 6.0.
3.TOEFL iBT / TOEFL Online: Minimum score of 60.
4.Cambridge English Qualifications (B2 First, C1 Advanced, C2 Proficiency, Linguaskill): Minimum score of 169.
5.Pearson Test of English (PTE) Academic: Minimum score of 59.
6.Certified Intensive English Programme (CIEP): Level 109 or higher.
Exemptions:
•International applicants from countries where English is the official language, or
•International applicants who have completed academic qualifications from institutions that use English as the sole medium of instruction.
For applicants who do not meet the above requirements:
•May enrol in the Intensive English Programme (IEP) at UTM Language Academy or the Certified Intensive English Programme (CIEP) at any ELS Language Centre in Malaysia (up to one year from the date of registration).
•Upon completion, applicants must sit for one of the English proficiency tests listed above and achieve the required minimum score before being admitted to the main academic programme.
4. Persons with Disabilities (PWD) Requirements
Only applicants with physical disabilities or paralysis as outlined by the Malaysian Public Service Commission (SPA) are accepted, provided they are able to use their hands for writing and typing.
| YEAR 1: SEMESTER 1 | |
Code | Courses |
| MCSD1113 | Statistic for Data Science |
| MCSD1013 | Business Intelligence and Analytics |
| MCSD1123 | Big Data Management |
| MCSD1043 | Research Design and Analysis in Data Science |
| MCSD1053 | Supply Chain Analytic |
| Faculty’s Elective Courses (Choose 1) | |
| MCSD1123 | Big Data Management |
| MCSD1103 | Data Visualization |
| MCSD1133 | Operational Research and Optimization |
| MCSD1143 | Supply Chain Analytic |
| MCSD1153 | Human Based Computing |
| YEAR 1: SEMESTER 2 | |
| Code | Course |
| MCSD2123 | Massive Data Mining and Streaming |
| MCSD2213 | Advanced Analytics for Data Science |
| Faculty’s Elective Courses (Choose 1) | |
| MCSD1123 | Big Data Management |
| MCSD1103 | Data Visualization |
| MCSD1133 | Operational Research and Optimization |
| MCSD1143 | Supply Chain Analytic |
| MCSD1153 | Human Based Computing |
| MCSD6215 | Master Project I |
| YEAR 2: SEMESTER 1 | |
Code | Courses |
| MECSxx80 | Dissertation III |
| MCSD6227 | Master Project II |
| Faculty’s Elective Courses (Choose 1) | |
| MCSD1123 | Big Data Management |
| MCSD1103 | Data Visualization |
| MCSD1133 | Operational Research and Optimization |
| MCSD1143 | Supply Chain Analytic |
| MCSD1153 | Human Based Computing |
