Data Science and Analytics

Overview

Therefore, the objective of this Data Science and Analytics programme from University Sains Malaysia is to produce graduates who:

• have a deep understanding of the core concepts, practices and tools in the domain of Data Science and Analytics.
• have the knowledge and skills in collecting and consolidating data, data modelling and advanced analysis of data which can be applied in jobs across various sectors, especially the service, business, marketing, manufacturing and healthcare sectors.
• can act as high-power data (open source or industry standards) users in a variety of industries as well as have social, ethical and effective communication skills, and good leadership attributes.
• are innovative in the application and use of big data analytic tools in various fields or as researchers who are capable of making decisions based on the availability of comprehensive data as well as able to realise lifelong learning and pursue studies at a higher level in cross-disciplinary research involving ICT.

Programme Structure

Credit requirements: 44 units

At the end of this course, the students will be able to:

• Perform work collaboratively in a multi-ethnic environment with superior, colleagues, staff and supervisors.
• Analyse the needs and/or problems related to data analytics in the workplace.
• Identify suitable quantitative and analytical tools (including software, technology and technical know-how) to propose usable solution to complex, ambiguous, unstructured problem in real world setting.
• Practice effective communication in writing and orally the progress and achievement of the practicum.
• Display leadership behaviours such as initiative, focussed, and high-performance standards.