Master of Technology in Enterprise Business Analytics Featured Image
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Master of Technology in Enterprise Business Analytics
at National University of Singapore

Queenstown, Singapore

  • Tuition Fee S$ 53,000
  • Country Rank#1
  • Duration12 Months
  • Score

Program Overview

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. It is best suited for professionals seeking to focus on the following - methodical data exploration and visualisation, diagnostic analytics, predictive modelling using statistical and machine learning techniques, text analytics, recommender systems, and big data engineering, etc.

 

The MTech EBAC programme prepares students for specialist, expert and leadership roles in enterprise business analytics to create business value through strategic use of data, analytics, models and frontline tools.

 

By contributing to more effective utilisation and management of data analytics, you can help your enterprise to focus on big decisions so that they gain better predictive ability that can translate to higher profits. Helping enterprises to build better and more effective models will lead to improved outcomes such as more attractive pricing, higher levels of customer care, better market segmentation, and highly-efficient inventory management and finally profit maximization.

 

Recognition:

  • Top student is awarded the IBM Medal and Book Prize
  • Best Project Prize

Graduates of the programme will be capable of undertaking tasks such as:

  • Discovering insights from data
  • Applying concepts and techniques to solve major business problems
  • Designing and customizing marketing campaigns through efficient targeting
  • Analysing sales channels
  • Optimising the marketing mix of their organisations
  • Improving decision-making to increase returns on investments for their organisations
  • Predicting the future profitability of their organisations
  • Automate production fault detection in manufacturing using predictive modelling

Learning outcomes:

  • Help enterprises move towards a stronger emphasis on computer tools and statistical and machine learning techniques to develop high-performance analytics capability
  • Translate massive and complex unstructured data (e.g.: text) into insights
  • Produce predictive models to solve a broad range of problems across various business functions and units
  • Contribute to the development of more effective business strategies and plans for sustainable growth and competitive advantage

Cost Of Studying At National University of Singapore

Interest rates as low as 8.9% *

250K+

Students Assisted

800Cr+

Loan Amount Disbursed

5000+

Loans Sanctioned