The Bachelor of Applied Science in Data Analytics with Honours (MQA/FA 12425) is developed in line with UMP's vision, mission and educational goals to be a distinguished Technological University. The three and half year programme is designed to produce highly skilled and competent graduates in the field of Data Science who are capable to gain insights of the data and make effective decisions using Data Science and Analytics skills. Data Science is a new exponentially growing field that consists of a set of tools and techniques, and requires an integrated skill set from statistics, mathematics, computer science and the use of current technology in computer software or programming language. The Data Science elements are part of the main pillars of the Fourth Industrial Revolution (IR 4.0). The Industrial Revolution gives birth to new emerging technologies which includes automation, digitalization and artificial intelligence that bring forward new challenges in data science with the discovery of information from large volumes of data.

This Data Analytics programme are offered in two modes; Coursework and Industry (2u2i) modes. The curriculum comprises of 120 total credit hours’ industry-relevant courses which includes University Courses, Faculty Courses, Core Programme Courses, Elective Courses, Data Science Projects, and Industrial Training. For Coursework Mode, the students will undergo Industrial Training in Semester 7 after they have completed all the courses from Semester 1 to 6. Meanwhile, for Industry Mode (2u2i), the students will undergo Work Based Learning (WBL) through Block Release structure in Semester 6 and 7 after they have completed all the courses from Semesters 1 to 5.

Students will learn the architecture of Data Science and Analytics system through eight core areas of competencies including;

• Mathematical Skills
• Programming Skills
• Data Preparation and Data Visualization Skills
• Statistical Modelling Skills
• Machine learning Algorithms Skills
• Advanced Analytical Skills
• Managerial Skills
• Research and Practical Skills

Students will be equipped with an in-depth knowledge of Data Science and Analytics to become an expert analyst who will use the latest data management and analytics tools such as R, Python, Tableau, RapidMiner, and Knime. They will learn how to apply this expertise in the real world through final year project and internship program in any related industry in order to prepare for an exciting career ahead. Data Science and Analytics knowledge and tools are vital for the sustainability of science and technology advancement.