The Statistical Knowledge Industrial Project (SKIP), an initiative led by the Centre for Actuarial and Analytics Research (CAAARE) at the School of Mathematical Sciences, Sunway University, continues to strengthen the connection between academic learning and industry practice. Designed for students from the BSc (Hons) in Statistical Data Modelling programme, SKIP embeds authentic business challenges directly into the classroom, allowing students to apply statistical thinking, analytical tools, and communication skills in solving real organisational problems.

Stage 1: Programme Launch – Bridging Academia and Industry

The inaugural SKIP programme was launched with the goal of bringing industry collaboration into the student learning experience. Students were introduced to live business challenges provided by the Sunway Group and were tasked with developing data-driven strategies that could contribute to business and marketing decision-making. This initiative encouraged students to move beyond textbook learning, requiring them to adopt a multidisciplinary perspective that integrates analytics, creativity, and strategic thinking.

A key feature of the programme was the involvement of industry mentor Dr Shaun Chen Yang Ong from the Sunway Group Deputy President’s Office, who guided students throughout the project period. His monthly mentoring sessions provided valuable insights into real business operations, helping students align their analytical approaches with practical organisational needs.

The launch phase also emphasised collaboration, teamwork, and professional communication, setting the foundation for students to work effectively on complex, real-world datasets and business questions. By positioning industry challenges at the centre of the learning process, SKIP created an immersive experience that mirrors professional project environments.

Stage 2: Progress Check-ins – Refining Ideas Through Industry Feedback

As the programme progressed, students presented their interim findings during scheduled progress check-in sessions with their mentor. Each group shared updates on their analytical approaches, early results, proposed strategies, and future plans, receiving constructive feedback that helped refine their work.

These sessions highlighted how different teams approached similar challenges from diverse analytical perspectives, demonstrating the richness of statistical problem-solving methods. Discussions with the industry mentor also provided students with exposure to operational realities, encouraging them to think critically about feasibility, implementation, and the business relevance of their recommendations.

Beyond technical development, the progress stage strengthened students’ presentation skills, professional confidence, and ability to communicate insights clearly to non-technical stakeholders—competencies that are essential for future internships and employment. The structured feedback cycle ensured that students continuously improved their work while maintaining alignment with industry expectations.

Final Stage: Presentation and Industry Evaluation

After nearly four months of research, analysis, and mentorship, the SKIP journey culminated in a final presentation session held on 9 January. Students presented their completed analyses and practical recommendations to a panel comprising representatives from Sunway Super App and the School of Mathematical Sciences.

The presentations showcased the students’ ability to translate theoretical statistical knowledge into meaningful, actionable insights. Their work demonstrated creativity, analytical rigour, and a strong understanding of real-world decision-making contexts. Industry representatives commended the students’ dedication and professionalism, particularly noting the commitment shown despite participation in the programme being voluntary.

The success of the final stage reflected the effectiveness of sustained mentorship and structured project guidance throughout the programme. With support from both academic supervisors and industry partners, students were able to deliver outputs that combined technical depth with strategic relevance.

Preparing Industry-Ready Graduates

SKIP represents an important step in enhancing experiential learning within the School of Mathematical Sciences. By embedding real industry projects into the curriculum, the programme equips students with practical experience, problem-solving abilities, and industry-relevant perspectives that strengthen their professional readiness.

More importantly, SKIP demonstrates how collaboration between universities and industry partners can create meaningful educational opportunities that benefit both students and organisations. Students gain hands-on exposure to professional challenges, while industry partners receive innovative ideas and fresh analytical perspectives from emerging data talents.

As the programme continues to grow, the School of Mathematical Sciences looks forward to expanding industry partnerships and providing more students with opportunities to experience real-world analytics projects. Initiatives such as SKIP exemplify the University’s commitment to producing graduates who are not only academically strong but also equipped with the skills, confidence, and experience required to thrive in today’s data-driven economy.

Assoc Prof Dr Jason Ng Wei Jian & Sia Jye Ying
School of Mathematical Sciences
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