NUS and EMC Conducts Business Analytics Innovation Challenge Online, Amidst COVID Outbreak
With Singapore on Circuit Breaker mode, all schools and businesses are required to cease operations at least until 1 June. Yet, despite the new challenges, the NUS Business Analytics Centre adapts to it by hosting their first NUS-EMC Innovation Challenge online, allowing students to pitch data-driven solutions that help improve real world problems in the […]
Newly Appointed Deputy Directors for the NUS Business Analytics Centre
Two deputy directors for the NUS Business Analytics Centre were appointed, effective as of 1st November 2019. They are: Professor Huang Zhiyong Zhiyong is Associate Professor (Practice) of Computer Science Department, Assistant Dean (Industry Relations) and Director of C-TReND for computing translational research and development, School of Computing. He teaches modules in 3D modelling and […]
MSBA students win first runners up title at Chengdu 80 FinTech Competition 2019
A team of four Master of Science in Business Analytics (MSBA) students and two undergraduate NUS Computing exchange students won the first runners up prize at the Chengdu 80 Financial Technology (FinTech) competition held from 28 October to 3 November in Chengdu, China. MSBA students Jonathan Wagner, Hua Xiuping, Liu Tong and Chen Yanzhu, with […]
NUS MSBA Business Analytics Technical Evening (BATE) 2019
The 3rd run of Business Analytics Technical Evening (BATE) hosted by NUS Business Analytics Centre (NUS BAC), held at Sands Expo and Convention Centre saw over 400 attendees, four times more than its first run in 2015. The attendees included business analytics professionals from various industries, academics across faculties, alumni, graduating and current students of […]
MSBA alumni wins in Ernst and Young’s (EY) Better begins with you (BBWY)
Master of Science in Business Analytics (MSBA) alumnus, Zhang Kaixiang led a project stream team to emerge ASEAN Regional Winner, after a 6 month nomination judging process. His project team was also one of the global finalist out of 270,000 employees for Pursuing Innovation during the Ernst and Young’s (EY) Better begins with you (BBWY). […]
MSBA students excel at NUS Johnson & Johnson Analytics Innovation Challenge 2019
6 May 2019 – First year NUS Master of Science in Business Analytics students Shivam Bansal, Aditya Gupta, Harshil Parashar, and Wu Zheyu, won first place at the NUS Johnson & Johnson Analytics Innovation Challenge. The competition’s final presentation and award ceremony was held in NUS Computing on 30 March 2019. A total of 28 […]
MSBA students win top prize at MKE Hackfest 2018
5 December 2018 – Master of Science in Business Analytics (MSBA) students Aditya Gupta and Harshil Parashar won the first prize at the Maybank Kim Eng (MKE) Hackfest Finals on 8 November 2018. Aditya and Harshil beat six other teams to win a $3,000 cash prize and an internship opportunity with the bank. The Hackfest, organised by […]
MSBA students win first place at Chengdu 80 Competition
12 November 2018 – A team of five Master of Science in Business Analytics (MSBA) students and one undergraduate Business Analytics student won first place at the Chengdu 80 competition on 4 November in Chengdu, China. MSBA students Shivam Bansal, Yi Suqin, Ganeshkumar Sundararaj, Steven Tseng, He Shiyuan, and second year Business Analytics student Sung […]
Business analytics alumni win big at the 2017 CIKM AnalytiCup
Our Master of Science, Business Analytics (MSBA) alumni have achieved outstanding results in the CIKM AnalytiCup 2017, having emerged the champions in the competitions. Samarth Agarwal and Akshay Bhonde from AY2015/16 won first prize in the Lazada Product Title Quality Challenges from over 6,000 submissions, having developed a multi-layer modelling stacking framework to grade the […]
CFLD-NUS Business Analytics Innovation Challenge 2017
19 teams from the National University of Singapore (NUS) participated in the inaugural CFLD (China Fortune Land Development)-NUS Business Analytics Innovation Challenge 2017. The objective of the challenge was for students to design a solution combining innovative data sourcing and creative machine learning application to evaluate land prices in at least one of the following […]