The Master in Data Science (ODL) is an online program designed for professionals seeking to deepen their expertise in extracting knowledge and insights from data. This program equips students with the theoretical foundations and practical skills necessary to tackle complex data-driven challenges across various industries. It covers essential areas such as data mining, machine learning, statistical analysis, and data visualization, preparing graduates for advanced roles in the rapidly growing field of data science.
The program is structured to provide a comprehensive understanding of data science principles and applications.
Graduates of the Master in Data Science program are well-positioned for a variety of roles in the data-driven economy.
Candidates with other qualifications may be considered on a case-by-case basis.
Fees are subject to change. Please refer to the official UTP website for the most up-to-date information.
MQA/PSA 16962
The total tuition fees for the Master in Data Science (ODL) program are RM 25,500 for both domestic and international students. Please note that fees are subject to change and the most up-to-date information can be found on the official UTP website.
To be considered for the program, you need a Bachelor's degree in a relevant field with a minimum CGPA of 2.50. Alternatively, a Bachelor's degree with a CGPA between 2.00-2.49 along with at least 3 years of relevant work experience, or a recognized professional qualification with relevant experience may be accepted.
You need to complete the online application form on the UTP Admissions Portal, upload all required supporting documents, and pay the application fee. After careful review, submit your application before the deadline.
Graduates are well-prepared for roles such as Data Scientist, Data Analyst, Business Intelligence Analyst, Machine Learning Engineer, and Big Data Engineer in the data-driven economy.
The curriculum covers core areas including Introduction to Data Science, Data Mining and Warehousing, Statistical Methods for Data Science, Machine Learning, Data Visualization, Big Data Technologies, and Research Methodology, culminating in a Dissertation.