Nus Business Analytics Recommended Timetable
Nus overseas colleges noc business analytics.
Nus business analytics recommended timetable. Faculty of arts social sciences. Business decisions are often made under uncertainty. An nus education provides a strong technical foundation across all areas of computing meaning that your business analytics training will be bolstered by strong general computer skills.
The nus master of technology in enterprise business analytics programme mtech ebac is specifically designed to meet the industry demand for data scientists who can help organisations achieve improved business outcomes through data insights. Dsc2008 business analytics data and decisions most companies today have plenty of data. The programme comprises 8 modules to be completed in two regular semesters alongside a one year 13 month capstone professional consulting project.
Functional core 8 acc1701 accounting for decision makers 9 bsp1702 legal environment of business. The corresponding maximum candidature periods are 2 years and 4 years respectively. The nus business analytics centre bac was established in 2013 in collaboration with ibm to develop the skills and knowledge of professionals in business analytics.
School of continuing and lifelong education. However creating intelligence and gleaning real insights from this data is what continues to elude organisations competing on analytics. Count tr3201 entrepreneurship practicum 8 mcs partially in lieu bt4101 bsc dissertation 4 out of 12 mcs and replace one business analytics programme elective at level 3000 4 mcs.
School of design environment. Accordingly a business analytics degree from nus will provide you with the skills and expertise needed to build a career in today s fastest growing and most. Nus graduate school for integrative sciences and engineering.
The new science of winning. Analytical core 4 dao1704 decision analytics using spreadsheets 5 dao2702 business analytics models applications 6 bsp1703 managerial economics 7 bsp2701 global economy. This course has been designed to equip analytics professionals and managers with an understanding of data analytics process and best practices ii so that their analytics activity downstream will be more credible and useful.