The programme focuses on the development of analytical skills in the study of technologies applied to big data. Harnessing and analysing massive data creates significant value for organisations and it has become the basis for decision-making to achieve greater efficiency while spearheading constant innovation. During their studies, students will solve practical and real-world problems of companies utilising data sets in the presence of analytics experts.

On successful completion of the programme, graduates will also be awarded a degree from Lancaster University. Graduates are awarded three certificates: one from Sunway University, one from Lancaster University, and a Joint Certificate from SAS Academy, namely the SAS Joint Certificate in Advanced Techniques for Data Science and Predictive Analytics.

On top of that, The Alibaba syllabus, which focuses on the digital economy and e-commerce, has been incorporated into this programme. With the Alibaba collaboration, there are more opportunities and platforms that could aspire young entrepreneurs and start-ups to develop their business ideas.

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Distinctive Sunway Experience

In this programme, students will be awarded a SAS Joint Certificate in Big Data with Advanced Techniques in Data Science and an academic digital badge to validate their knowledge. As one of the Top 10 Most Prominent Data Science Institutes*, Sunway students learn innovative ways to use and leverage data to generate actionable outcomes across a variety of industries.

Python and R languages and the SAS tools are taught in the programme.
The collaboration with AWS and Alibaba GET enhance & provide students a 360 degree view of analytics knowledge and skills.

*Analytics Insight Magazine (January 2022)
 

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Programme Educational Objectives (PEO)

PEO 1 : Knowledgeable and technically competent in dealing with issues and challenges in the field of information systems (data analytics).    

PEO 2 : Demonstrate good interpersonal and leadership skills and effective in communication while working in a team of people within an organization / community.

PEO 3 : Solve advanced issues in the field of information systems (data analytics) using related technology and numerical tools in an ethical and professional manners.

PEO 4 : Demonstrate self-advancement and entrepreneurial skills in information systems (data analytics) field. 

Programme Learning Outcomes (PLO)

PLO 1 : Demonstrate knowledge of essential facts, concepts, principles, impacts and theories related to information systems (data analytics).    

PLO 2 : Demonstrate critical thinking in solving issues related to information systems (data analytics).

PLO 3 : Apply relevant theories, tools and techniques used by industry to solve information systems (data analytics) problems.            

PLO 4 : Perform as a good team player with the sense of responsibilities and accountabilities.

PLO 5 : Communicate effectively with peers, clients, superiors and society.    

PLO 6 : Use digital media and various digital solutions to support academic, and/or career development.

PLO 7 : Use quantitative and visual data to support academic, and/or career development.

PLO 8 : Demonstrate effective leadership, autonomy and manage responsibility in a team with accountabilities.                

PLO 9 : Engage in self-directed lifelong learning in academic, and/or career development.

PLO 10 : Demonstrate entrepreneurial competency when providing solutions relating to information systems (data analytics).        

PLO 11 : Demonstrate professionalism, and ethical consideration in accordance with ethical and legal principles.