Masters Of Science Business Analytics Programme

Training Provider: NATIONAL UNIVERSITY OF SINGAPORE
Course Reference: TGS-2015502744
S$58,500

About This Course

The NUS Master of Science in Business Analytics (MSBA) is a master's degree programme offered by the NUS Business Analytics Centre (BAC). It is designed and taught by award-winning academics from NUS Business School and NUS Computing. The master's degree programme aims to develop professionals with business analytics skills that will meet the growing demands of companies looking to improve their operations through data analytics.

Offered in Singapore for local and overseas students as a full-time (13 months) or part-time (2-year) programme, the NUS Master of Science in Business Analytics (MSBA) programme is designed to facilitate experiential learning, through a balance of intellectual academic rigor and hands-on applications. Students who underwent the NUS Masters of Science in Business Analytics (MSBA) programme will be well-equipped with skills such as machine learning to excel in the data-analytics field across various industries such as finance, retail, information technology, supply chain, and healthcare.

The Singapore-based master's degree programme boasts strong connection to industry partners in the business data analytics field across various sectors. Students pursuing or graduated from the NUS Master of Science in Business Analytics (MSBA) programme can interact with and learn from the leaders in this community to enhance their career prospects and competencies in the business analytics field.

Upon completion of the programme, NUS MSBA graduates will be able to use relevant data-driven techniques and tools to understand and resolve complex business analytics problems, a skill highly sought after across different industries and environments, both locally and internationally.

What You'll Learn

Students will complete 5 essential modules to build a cross-disciplinary foundation for Business Analytics and engage in rigorous study beyond the assumed disciplinary borders. This covers the interface between computer science, statistics, and other professional disciplines in the NUS Education framework. Students who know first-year undergraduate mathematics, specifically calculus and linear algebra and programming knowledge would have an advantage.
Essential Modules:
• Analytics in Managerial Economics
• Data Management and Warehousing
• Operations Research and Analytics
• Foundation of Business Analytics
• Advanced Analytics and Machine Learning

Electives Modules (From 5 Verticals)
In addition to essential modules, students are required to take three elective modules from at most two of the following vertical sectors.
These elective modules will help them delve deeper into understanding different analytic techniques required for specific industry sectors and build upon knowledge, concepts and skills learnt in essential modules. Through these elective modules, students innovate, devise, and refine techniques and tools to solve complex problems.
Students who aspire to be a Business Analytics expert in other vertical sectors beyond the five below may take relevant advanced modules from the respective participating faculties, subject to approval by the Academic Committee.
• Big Data Analytics Techniques
• Consumer Analytics
• Financial & Risk Analytics
• Healthcare Analytics
• Statistical Modelling

Entry Requirements

Please see course weblink for more information

Course Details

Duration 1430 hours
Language English
Training Commitment Full Time and Part Time
Total Enrolled New course
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.

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