The Master in Data Science program is designed to equip students with the advanced knowledge and practical skills needed to excel in the rapidly growing field of data science. This program focuses on data mining, statistical analysis, machine learning, and data visualization techniques, enabling graduates to extract meaningful insights from complex datasets. The curriculum integrates theoretical concepts with hands-on projects, allowing students to apply their learning to real-world challenges. Graduates will be prepared for diverse roles in various industries, leveraging data to drive innovation and informed decision-making.
The Master in Data Science program is structured over two years, with a curriculum designed to provide a deep understanding of data science principles and applications.
Graduates of the Master in Data Science program are well-positioned for a variety of roles in industries that rely heavily on data analysis and interpretation. The program aims to develop skills that are in high demand in the current job market.
International applicants are also required to meet the general admission requirements of the university.
Tuition fees are subject to change. Please refer to the official university website for the most up-to-date information. Living costs are estimates and can vary based on lifestyle.
The program is recognized by relevant professional bodies in Malaysia and internationally, ensuring the quality and relevance of the education provided.
You need a Bachelor's degree with a minimum CGPA of 2.75 in a relevant field. For English proficiency, an IELTS score of 6.0 or a TOEFL iBT score of 80 is required. Applicants with a CGPA between 2.50 and 2.74 may be considered with relevant work experience or publications.
The tuition fee for international students is MYR 60,000 per year. Estimated living costs are MYR 12,000 per year, though this can vary.
The Master in Data Science program is structured over two years, totaling 24 months.
Required documents include a completed application form, academic transcripts, degree certificates, English language proficiency test results (IELTS/TOEFL), a copy of your passport, a CV, and potentially letters of recommendation and passport-sized photographs.
Graduates are prepared for roles such as Data Scientist, Data Analyst, Machine Learning Engineer, Business Intelligence Analyst, Data Engineer, and Statistician.