The programme incorporates the elements of the Fourth Industrial Revolution (IR4.0) through the implementation of the 2u2i model, comprising 2.5 years of study at the university (university component) and 1 year of study in the industry (industry component). Students will also obtain the SAS Certificate known as “SAS Academic Specialisation in Data Analytics”. The programme curriculum is fully integrated to meet the growing demand for highly skilled data analysts who can analyse increasing volumes of data across various disciplines and transform them into actionable information for decision-making.
The programme also aims to address the high industry demand for business and data analysts. Graduates will be trained in the latest data analysis methods, concepts and tools used to understand data available in various forms through the development of their knowledge, skills and abilities. Students will have the opportunity to work with industry through four industry component courses in the form of Work-Based Learning (WBL), offered in their final year of study. This involves learning through projects in real-life industrial environments related to IR4.0.
The implementation of the 2u2i mode will expose students to practical learning and hands-on experience directly from relevant industry practitioners. Such training will add value to their qualifications and enhance their employability.
7 Semesters,
3.5 years
Linear Algebra, Topological Data Analysis, Predictive Analytics, Industrial Programming Languages, Survey Sampling Methods, Scientific Research, Multivariate Calculus, Probability and Statistics for Data Analytics, Applied Linear Statistical Models, Databases, Introduction to Machine Learning, Introduction to Data Science, Design of Experiments, Network Science, Bayesian Statistics, Multivariate Statistics, Data Structures and Algorithms, Data Visualization.
STPM LEAVERS (SCIENCE)
Obtain at least Grade C in Mathematics T at STPM level.
STPM LEAVERS (ARTS)
Obtain at least Grade C in Mathematics M at STPM level.
MATRICULATION / FOUNDATION LEAVERS (SCIENCE / ENGINEERING / ACCOUNTING)
Obtain at least Grade C in ONE (1) subject at Matriculation/Foundation level:
• Mathematics
DIPLOMA / EQUIVALENT HOLDERS
Possess a Diploma or other equivalent qualification recognised and approved by the University Senate
MALAYSIAN UNIVERSITY ENGLISH TEST (MUET)
Obtain at least Band 2.0 for results from Session 1, 2021 onwards, or Band 2 for results from 2020 and earlier, subject to the validity period at the time of application.
• Data Architect
• Data Analyst
• Data Banker
• Data Specialist
• Database Developer or Administrator
• Financial Analyst
• Business Analyst
• Data Quality Officer
• Data Security Researcher
• Data Manager
FURTHER INFORMATION
Prof. Dr. Muhamad Safiih bin Lola
Programme Head, Bachelor of Science (Data Analytics) (Hons.)
📧 safiihmd@umt.edu.my
📞 +609-6333247