BSc in Business Analytics | Full-time Degree

Applications Open: 19 November 2022

Applications Close: 19 March 2023

Next Available Intake: July 2023

Programme Type: Full-time Undergraduate

Area of Interest: Business Administration

School/Department: School of Business

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.

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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.

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

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

60 cu of SUSS Core Courses
65 cu of Major Compulsory courses
15 cu of Major Elective
60 cu of Free Electives, Minor and/or Second Major

DOWNLOAD CURRICULUM PLAN (UP TO JANUARY 2023 INTAKE)

Module Types
COMPULSORY	ACC202 Financial and Managerial Accounting ANL201 Data Visualisation for Business ANL252 Python for Data Analytics ANL303 Fundamentals of Data Mining ANL307 Predictive Modelling ANL310 Business Analytics Applications and Issues ANL312 Text Mining and Applied Project Formulation ANL317 Business Forecasting ANL488 Business Analytics Applied Project BUS100 Business Skills and Management FIN203 Essentials of Financial Management MKT202 Marketing Management	65 cu
ELECTIVE	ACC353 Accounting Analytics ANL305 Association and Clustering ANL321 Statistical Methods ANL351 SAS Programming and its Application ANL355 Applied Operations Research BME363 Applications of Artificial Intelligence in Healthcare BUS102 Management in the Digital Age BUS107 Quantitative Methods BUS201 Contract and Agency Law BUS352 Operations Analytics BUS490 Contemporary Business Strategy ECO202 Economic Ideas and Models for Business ENG233 Internet of Things (IoT) HRM203 Human Behaviour in Organisations ICT133 Structured Programming ICT233 Data Programming ICT330 Database Management Systems MKT365 Social Media Metrics & Analytics MKT371 Customer Insights and Analytics MKT390 Marketing Research	Minimum 0 cu, maximum 15 cu
FREE ELECTIVE	GSP100 General/Free Electives	Minimum 0 cu, maximum 75 cu

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.

Bachelor of Science in Business Analytics

Bachelor of Science in Business Analytics

Overview

Admission Requirements

Financial Assistance

Programme Structure

Curriculum