{"id":9436,"date":"2019-04-15T15:40:24","date_gmt":"2019-04-15T07:40:24","guid":{"rendered":"https:\/\/comp.utm.my\/old\/?page_id=9436"},"modified":"2021-11-01T15:22:31","modified_gmt":"2021-11-01T07:22:31","slug":"master-of-science-data-science","status":"publish","type":"page","link":"https:\/\/comp.utm.my\/old\/master-of-science-data-science\/","title":{"rendered":"Master of Science (Data Science)"},"content":{"rendered":"

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Master of Science (Data Science)<\/strong><\/span><\/p>\n

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PROGRAMME SPECIFICATIONS<\/strong><\/p>\n

The Master of Science (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\u2019s entry qualifications and lasts between one and half (1 1\/2) years to a maximum of four (4) years.<\/p>\n

The coursework programme is offered based on a 2-Semester per academic session. In this programme, the candidate will learn not only to apply data science, but they will acquire insight into how and why methods work so they will be able to construct solutions to new challenges in data science. Furthermore, student will also be able to work on problems specific to a scientific discipline and to combine knowledge domain with the latest data analysis methods and tools.<\/p>\n

General Information<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
1.\u00a0\u00a0 Awarding Institution<\/td>\nUniversiti Teknologi Malaysia<\/td>\n<\/tr>\n
2.\u00a0\u00a0 Teaching Institution<\/td>\nUniversiti Teknologi Malaysia<\/td>\n<\/tr>\n
3.\u00a0\u00a0 Programme Name<\/td>\nMaster of Science (Data Science)<\/td>\n<\/tr>\n
4.\u00a0\u00a0 Final Award<\/td>\nMaster of Science (Data Science)<\/td>\n<\/tr>\n
5.\u00a0\u00a0 Programme Code<\/td>\nMECDA1AJA<\/td>\n<\/tr>\n
6.\u00a0\u00a0 Professional or Statutory Body of Accreditation<\/td>\nMalaysian Qualification Agency<\/em> (MQA)<\/td>\n<\/tr>\n
7.\u00a0\u00a0 Language(s) of Instruction<\/td>\nEnglish<\/td>\n<\/tr>\n
8.\u00a0\u00a0 Mode of Study (Conventional, Distance Learning, etc)<\/td>\nConventional<\/td>\n<\/tr>\n
9.\u00a0\u00a0 Mode of Operation (Franchise, Self-govern, etc)<\/td>\nSelf-governing<\/td>\n<\/tr>\n
10. Study Scheme (Full Time\/Part Time)<\/td>\nFull Time<\/td>\n<\/tr>\n
11. Study Duration<\/td>\n\n

Minimum : 1 year 6 months (3 semesters)
Maximum : 4 years (8 semesters)<\/p>\n<\/td>\n<\/tr>\n

Type of Semester<\/td>\nNo. of Semesters<\/td>\nNo. of Weeks\/Semesters<\/td>\n<\/tr>\n
Full Time<\/td>\nPart Time<\/td>\nFull Time<\/td>\nPart Time<\/td>\n<\/tr>\n
Normal<\/td>\n3<\/td>\n–<\/td>\n8<\/td>\n–<\/td>\n<\/tr>\n
Short<\/td>\n\u00a0<\/td>\n–<\/td>\n\u00a0<\/td>\n–<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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Course Classification<\/strong>\u00a0<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n
No.<\/td>\nClassification<\/td>\nCredit Hours<\/td>\nPercentage (%)<\/td>\n<\/tr>\n
i.<\/td>\nUniversity Courses<\/td>\n3<\/td>\n6.66<\/td>\n<\/tr>\n
ii.<\/td>\nCore Courses<\/td>\n21<\/td>\n46.67<\/td>\n<\/tr>\n
iii.<\/td>\n\u00a0Elective Courses<\/td>\n9<\/td>\n20.00<\/td>\n<\/tr>\n
iv.<\/td>\n\u00a0Master Project<\/td>\n12<\/td>\n26.67<\/td>\n<\/tr>\n
\u00a0<\/td>\nTotal<\/strong><\/td>\n45<\/strong><\/td>\n100<\/strong><\/td>\n<\/tr>\n
Total Credit Hours to Graduate<\/strong><\/td>\n45 credit hours<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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SKILLS<\/strong><\/p>\n

Offered to Students
Upon graduating from the MSc (Data Science) programme, you will have solid knowledge of the central concepts, theories, and research methods of data science as well as applied skills. In particular, you will be:<\/p>\n