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新加坡国立大学-21秋-Master of Technology in Enterprise Business Analytics
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新加坡国立大学- Master of Technology in Enterprise Business Analytics
 
课程介绍:
 
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 
 
具体课程

  • Statistics for Business II
  • Data Storytelling
  • Data Governance & Protection
  • Managing Business Analytics Projects
  • Data Analytics Process and Best Practices
  • Statistics Bootcamp
  • Predictive Analytics – Insights of Trends and Irregularities
  • Text Analytics
  • Customer Analytics
  • Advanced Customer Analytics
  • Campaign Analytics
  • Feature Engineering & Analytics using IoT Data
  • Graph & Web Mining
  • Big Data Engineering for Analytics
论文和实习

A central element of the MTech programme is the project module. 

Student projects for MTech EBAC students will include intense full time engagement of 3 months with companies for full time students. For part-time students the internship engagement will be for 6-12 months. Students are allowed to conduct their project as a team-based internship if desired. The expected commitment for the project is 30 man-days per team member.

Objectives

  • Practise new technical skills in a real industry environment
  • Apply tools, methods and techniques learnt
入学要求
  • Bachelor's degree preferably in Mathematics, Statistics, Econometrics, Management Science, Operational Research, Science or Engineering and a grade point average of at least B
  • Proficiency in the English Language (written and spoken)*
  • Have passed an entrance test
    • NUS-ISS may, at its discretion, accept GRE general test in lieu of NUS-ISS entrance test in genuine cases e.g. a candidate lives in a country where NUS-ISS does not administer entrance tests or candidate had valid reasons that prevented him/her from attending the NUS-ISS entrance test when it was administered
    • A sample of the entrance test can be found here
  • Preferably two years relevant working experience
    • IT, engineering and scientific professionals would make ideal candidates
    • Candidates with highly relevant degrees in Mathematics, Statistics, Econometrics, Management Science, Operational Research or similar, with consistently good academic records may be granted a work experience waiver
  • Have received a favourable assessment at admissions interview conducted by NUS-ISS

职业方向

There is opportunity in Singapore in almost all industries which are rapidly working towards digital transformation and data analytics sits in the heart of it. What you learn in terms of analytics skills is not as important as what you do with it. It is the attitude and the ability to learn from mistakes, and to contribute back to the company that you work for that is likely to make more of a difference than specific analytics skills.

There are two main paths for advancement in analytics - either technical or managerial. Technical means you continue to deepen your technical area in a domain (Finance, Government, Manufacturing, Telecom, Transportation, Technology companies etc.) and you become an expert data scientist in those areas. The other is managerial, where you can focus on designing solutions for clients (internal or external) to achieve their organization goals in the areas of profit maximization, automation or digitization.

Our internship companies often tell us that if we can give them good students as interns, it is very likely they will get a job offer at the end of the internship.

As an MTech EBAC graduate, you will be prepared for specialist, expert and leadership roles in enterprise business analytics to create business value through strategic use of data, visualisation methods, modelling techniques and frontline tools.

Career Prospects

  • Business Analytics Manager
  • Data Scientist and Architect
  • Business Analyst
  • Optimisation Strategy Consultant
  • Business Intelligence and Performance Management Consultant
  • Enterprise Intelligence Manager
  • Market Intelligence Analyst
  • CRM Data Analyst
  • Risk Analyst
  • Marketing Analyst
  • Big Data Analyst

MTech alumni are pursuing their careers at these global organisations:

  • Accenture
  • Creative Technology
  • DBS Bank
  • Defence Science & Technology Agency
  • Deutsche Bank AG
  • Fuji Xerox Asia Pacific
  • HP Singapore
  • IBM Singapore
  • Infocomm Development Authority of Singapore
  • Inland Revenue Authority of Singapore
  • Jurong Port
  • Microsoft
  • Murex
  • NCS
  • NEC Asia Pacific
  • NTUC
  • OCBC Bank
  • Revolution Analytics
  • Singapore Telecommunications
  • Standard Chartered Bank
  • Starhub
  • ST Electronics
  • Tata Consultancy Services
 
 
学费: 50000-55000新币
 
 
 
 
 

 

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