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MSc in Business Analytics

   
 

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Why MSc Business Analytics

​As organisations integrate digital technologies into their business models, the relevance of business analytics has never been greater. Serving as a bridge between the business and technology functions, business analysts play a critical role in guiding businesses through digital disruption, analysing and utilising data to drive digital transformation, redefine the customer experience and deliver profitable business outcomes. In the hands of a skilled business analyst, data can be turned into a competitive advantage.



The MSc Business Analytics (MSBA) is designed to close the gap between technical and business know-how for more effective use of data in the workplace, whether in the areas of management, accounting, marketing, finance, communications or administration.​

Participants are prepared for a future of data-driven decision-making with a cutting-edge programme possessing the following unique points:

Strong Industry Connections and Engagement:

The MSBA enjoys wide support and engagement from the industry, with many leading industry partners shaping the curriculum to industry realties and needs. Our Industry partners provides project and internship opportunities, greatly increasing the likelihood of our students securing employment after graduation.

Developed with Future-Focused Content:

The MSBA’s first-of-its-kind curriculum features cutting-edge modules such as Analytics and
Machine Learning in Business that provide an understanding of technologies that will impact business environments in the future.

Applied Learning

​Using real world data provided by industry partners, the MSBA imparts knowledge to our students through a hands-on approach. This approach grounds MSBA students in the realities of the industry and enables them to switch from classroom to workplace effectively and quickly.

Enhanced by NTU's Established Strengths

The MSBA is developed in collaboration with NTU’s SCSE (School of Computing Science and Engineering) and SPMS (School of Physical and Mathematical Sciences). This allows participants to take cross-listed modules to customise the depth of learning in areas of particular interest.
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