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Bachelor of Science in Business Analytics

Bachelor's Degree Programme
(Full-time)

Bachelor of Science in Business Analytics


Overview

Register for our programme briefing session at the SUSS Open House on 25 Feb 2023 (Sat) to have your queries answered by our faculty on campus.

Meanwhile, do visit our Open House webpage at your own time to read our student and employer testimonials, or watch specially curated videos on our video wall to experience SUSS through our people.

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The Bachelor of Science in Business Analytics is a four-year direct honours programme. Students are required to complete a total of 200 credit units (cu), inclusive of the SUSS Core courses. The Core courses are first-year inter-disciplinary courses designed to hone students' conceptual, analytical and writing abilities along with their communication skills. Students are also required to complete a 24-week work attachment, an overseas experience and a community engagement. Singapore University of Social Sciences aims to produce graduates who are professionally competent, social-minded and self-directed learners.

The curriculum presented on this page is only applicable to students who enroll in the programme from the July 2023 semester onwards.

Students may pursue Analytics as a single major, or in combination with a minor(s) or second major.

Admission Requirements

Refer to general admission criteria for full-time undergraduate programmes.

There will be additional admission criteria to better target students who are aligned to the educational philosophy of our full-time programmes. This will be done through interviews and selection tests.

Financial Assistance

There are also various types of financial aid available to students who need financial assistance. Please click here for more details.

Programme Structure

Students pursuing the full-time programmes are required to complete 200 credit units (cu), which include:

Graduates are trained in the application of a broad array of analytics techniques such as visualisation, data mining, text mining, statistics, forecasting and optimisation using analytics software so that they can apply them in a broad spectrum of organisations and sectors, including government, healthcare and medicine, community, business, social services – essentially any organisation with a lot of data that require analytical insights.

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