Overview
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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 harness interdisciplinary approaches and perspectives, and experiential learning to prepare graduates for complex and dynamic futures. By embracing change and leveraging disruption, graduates will make a positive impact on the world we live in. Students must also complete a 24-week work attachment, an overseas experience and a community engagement. Ultimately, the goal is to nurture graduates who demonstrate professional competence, social consciousness, and the motivation to learn for life.
Unique Features of the Programme
Our programme offers an immersive learning experience where real-world data and examples are seamlessly integrated into our applied learning approach. Each year, we host students from JCs and Polys for a hands-on training workshop, and take part in the Analytics and Visualization Challenge. If you are interested in joining us, please visit this page for more information.
Our current students have the opportunity to showcase their innovative applied projects at the annual Analytics Innovation Forums. Additionally, our vibrant Business Analytics Student Interest Group actively organises enriching workshops and activities that promote both learning and bonding. Don't miss out on their latest newsletters here.
Certification Opportunities:
- AI for Industry: Students can earn certificates from AI Singapore by completing the "AI for Industry" course. These certificates are recognized as 5 credit units of Major Elective within our programme. This exclusive opportunity is available only to students pursuing Business Analytics as their first major. More details are given in this file.
- Google Analytics Certification: Upon completing a Business Analytics Applied Project using Google Analytics, students can take the next step by sitting for the Google Analytics Certification exam. This certification not only validates your skills but also enhances your professional profile, setting you apart in the competitive job market.
- AWS Certified Machine Learning: Students also have the chance to earn the prestigious AWS Certified Machine Learning certification as part of their Major Electives, further enhancing their expertise and career prospects.
Here are some examples of how this can be achieved:
| Course Selection | Purpose | Possible Job Role |
|---|---|---|
| Information and Communication Technology (ICT) Second Major (60 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 Second Major (60 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 Second Major (60 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. |
| Financial Technology+ ICT Dual Minors (60 cu) | Combine analytics with two highly sought after skillsets. | Financial Data Analyst, ICT Analyst, Financial Technology (FinTech) Analyst, etc. |
| Marketing Minor (30 cu) + Free Electives (30 cu) |
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.
Programme Structure
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
Curriculum
| BUS105 Statistics | 5 CU |
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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.