Being an analytics focused platform, we receive queries about various analytics courses available, suggesting the interest of our young readers in wanting to make a career in analytics. A portion of these queries have been for suggestions of courses abroad. So Analytics India Magazine brings its readers a list of top analytics courses being offered in Asia.
It been only 4-5 years since universities started offering courses in the field of Analytics. But today, considering the demand from the industry, a number of universities in India and world-wide are launching courses in Business Analytics and its various streams to supply a pool of trained business analytic professionals.
Through this article we explore some of the top analytics course options available in Asia other than India and what different do they have to offer its audiences. These foreign universities allow the students to explore the field of analytics from a global view-point and are not confined to a country’s analytics industry.
So let’s have a look at the various aspects of these Asian university courses in Analytics. Please note that this is not a ranking and all universities are listed in alphabetic order.
This programme is designed to provide students with knowledge and applied skills in data science, big data analytics and business intelligence. It aims to develop analytical and investigative knowledge and skills using data science tools and techniques, and to enhance data science knowledge and critical interpretation skills. Students will understand the impact of data science upon modern processes and businesses, be able to identify, and implement specific tools, practices, features and techniques to enhance the analysis of data.
A two-year part-time program which focuses on data analysis skills and explores core areas of applied and business statistics. Hong Kong, China. The programme is organised by the Department of Statistics at the Chinese University of Hong Kong. It focuses on data analysis skills and explores core areas of applied and business statistics. This is a part-time taught programme that is based primarily on coursework. Students must complete a minimum of 8 electives. Each course consists of a three-hour lecture each week throughout a term of 14 weeks. Classes are held on weekday evenings or Saturday afternoons. The expected completion time is two years.
The HKU-Ivey Executive Leadership Program in Data Analytics and Big Data (DABD) will enable executives to use data to drive their operational and strategic decision-making and create more value for their businesses.
The Specialist Diploma in Business & Big Data Analytics, jointly offered by School of Information Technology and School of Engineering, is targeted at Business Intelligence (BI) practitioners and IT professionals who wish to
- Upgrade their analytical skills from simple BI reporting to more advanced data analytics techniques;
- Learn how analytics are applied across industries and business domains; and
- Develop competence in implementing infrastructure to support big data.
This course provides participants with an opportunity to obtain a Specialist Diploma in the areas of business analytics and big data analytics. The knowledge and skillsets gained from this course will prepare graduates for a career as a data analytics practitioner across a wide spectrum of industries.
The aim of the proposed Master of Science in Analytics (MSA) programme is to provide graduate students with robust training in analytics skills. In addition, the MSA programme will be a pioneering effort in graduate level cohort-based learning in Singapore in line with the Blue Ribbon Committee (BRC) recommendations at NTU. The programme is interdisciplinary and will involve faculty from the School of Physical & Mathematical Sciences, School of Computer Engineering, and Nanyang Business School.
The MSA is an intensive 1-year programme by course work, which provides solid foundations in statistics, optimization, and data analysis, as well as exposure to software systems, practical applications, and case studies. The programme aims to attract both fresh graduates and working adults who have degrees in quantitative majors in science and engineering.
National University of Singapore (NUS) has established a Business Analytics Centre (BAC) to support the development of Business Analytics (BA) professionals and experts. BAC is jointly hosted by a unique partnership between two globally ranked schools – the NUS Business School and the NUS School of Computing – and the global IT giant IBM; it offers a degree programme in Master of Science in Business Analytics (MSBA) to address the acute global talent shortage of trained Business Analytics experts.
The program candidates must hold a bachelor’s degree or its equivalent. The University offers help with the validation of the diploma for the Russian education system. An applicant receives a personal conditional offer upon successful evaluation of the application package.
All students must have proven English language proficiency before enrolling and must provide an English Language Proficiency Certificate. Applicants who are graduates of bachelor’s programs, on which the official language of instruction was English, are exempt from providing a language certificate.
Available in both full time (12 months) and part time (24 months) coursework, this course is Co-designed by leading global and regional sector firms from hospitality, tourism, supply chain, retail, healthcare, public sector and telecommunications. It promises a robust and systematic understanding across processes, operations, data, technology solutions and management supervision. It is aimed at professionals with a background in Computer Science, Information Systems, IT, Engineering or the Sciences.
The Data Sciences Program (DSP) started on October 2015 as one of the “International Priority Graduate Programs (PGP) – Advanced Graduate Courses for International Students – ” supported by the Ministry of Education, Culture, Sports, and Technology (MEXT).
DSP consists of a 5-year graduate program combining 2-year master’s and 3-year doctor’s courses.
This programme is a response to these changes in the economic and technological environment. It aims to transform business students into multi-talented professionals, standing in-between their core field of expertise, such as management, finance, and marketing, and information technologies.
The programme mixes advanced modules in finance, marketing or management to provide a deep understanding of the most up-to- date methods for data-processing (machine learning, big data analysis) and data management. Our teaching philosophy is practice-oriented. With this in mind, after an intensive 12-month period of study you will complete your training with a six- month internship within a company.