Singapore is fast developing into a globally competitive knowledge-based economy that thrives on the availability of information and knowledge. With the explosive growth in data, there is a growing demand for graduates who are able to harness the data for business decision making.
The BSc in Business Analytics equips students with the ability to apply appropriate analytics techniques so that business data can be transformed into valuable information. This in turn helps organisations to improve operational performance, enhance customer engagements, and identify new opportunities to steer the organisations forward.
The programme offers a balanced curriculum that covers essential business modules as well as data analytics. Armed with a solid foundation in business fundamentals and relevant data analytics skills, students are equipped to pursue a minor programme (e.g., Information and Communications Technology, Finance, Marketing, Accountancy, etc.) to further specialise in their chosen field.
The final-year students are required to complete a comprehensive project that puts their business analytics skills and knowledge into practical application. Hence, graduates acquire the ability to perform a broad range of tasks needed for data-driven businesses.
Unique Features of the Programme
The programme offers an immersive learning experience where real-world data and examples are used as part of the applied learning approach.
The programme offers an external course on “AI for Industry”, in collaboration with AI Singapore. Business Analytics degree students who have outstanding CUs under General Electives can consider applying for this course. Note that this scheme is exclusively offered to students taking Business Analytics as the first-major only. More details are given in this file.
The programme allows students to acquire technical and interpersonal skills in the analytics major. Additionally, the flexible structure of the programme allows students to deepen or broaden their course selections to suit their personal preferences, interests, and career aspirations. Students may select a complementary minor and/or free electives.
Here are some examples of how this can be achieved:
| Course Selection | Purpose | Possible Job Role |
|---|
Information and Communication Technology (ICT)
Minor (30 cu) | Learn business and quantitative skills in analytics with accompanying hard skillsets in ICT. | Data Engineer, Data Analytics Consultant, ICT Analyst,
Machine Learning Specialists, Technical Analyst, etc.
|
Finance
Minor (30 cu) | Learn business and quantitative skills in analytics and then deepen in financial technology. | Fintech Analyst, Risk Analyst, Blockchain Analyst, Fintech Product Consultant, etc. |
Marketing
Minor (30 cu) | Combine analytics with marketing to develop a diverse range of hard and soft skills for different industries and job roles. | Analysts in Digital Marketing, Customer Insights, Market Research, Products, and Sales, etc. |
| Free Electives (30cu) | Learn hard and soft skills in analytics and then deepen and broaden in other disciplines. | Marketing Analyst, Business Intelligence Analyst, Marketing Operations Analyst, etc.
|
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 a combination with a minor.