Bachelor of Science Business Analytics
- Key Information
Course Name:
Bachelor of Science Business Analytics
University Name:
University of Southampton Malaysia
Campus:
Johor
Qualification:
Bachelor
Duration:
3 years
Intake:
September
IELTS:
6.0
Study Mode:
On-campus
Study Type:
Full time study
Program Mode:
Coursework
Yearly Tuition Fees
| Year | Fee |
|---|---|
| 1st Year | MYR 46,000 |
| 2nd Year | MYR 46,000 |
| 3rd Year | MYR 46,000 |
Other Fees
| Description | Fee |
|---|---|
| Visa Fee | MYR 1,630 |
| Personal Bond Fee | MYR 1,500 |
| Processing Fee | MYR 1,544 |
Campus
Johor
Qualification
Bachelor
Duration
3 years
Intake
September
IELTS
6.0
Study Mode
On-campus
Study Type
Full time study
Program Mode
Coursework
Course Fee for International Students
Yearly Tuition Fees
| Year | Fee |
|---|---|
| 1st Year | MYR 46,000 |
| 2nd Year | MYR 46,000 |
| 3rd Year | MYR 46,000 |
Other Fees
| Description | Fee |
|---|---|
| Visa Fee | MYR 1,630 |
| Personal Bond Fee | MYR 1,500 |
| Processing Fee | MYR 1,544 |
Course Overview
The Bachelor of Science in Business Analytics at the University of Southampton Malaysia operates as a sophisticated pedagogical framework designed to ground scholars in the epistemological foundations and transformative methodologies of systemic data governance and organizational stewardship. This program facilitates an intellectual transition to executive-level technical proficiency by synthesizing rigorous theoretical inquiry with applied quantitative praxis, ensuring that candidates can navigate the multifaceted complexities inherent in transforming raw data into strategic business intelligence. To address the high-fidelity demands of the global digital economy, the curriculum is strategically engineered to bridge the technical divide between traditional business management and advanced mathematical modeling. A pivotal feature of the program at the University of Southampton Malaysia is its focus on algorithmic insight and consumer intelligence, fostering a sophisticated command of the mathematical skills required to extract value from diverse data sources, including the internet and social media. By integrating technical expertise with a focus on heuristic critical analysis, the curriculum prepares students to architect data-driven strategies that optimize customer understanding and drive organizational innovation. Through intensive study of core modules tailored to individual academic backgrounds, the program emphasizes the development of the “hard skills” required for high-level predictive modeling and decision-science. The curriculum ensures that graduates are equipped to utilize evidence-based approaches to catalyze growth within a high-velocity commercial landscape. Ultimately, the program serves as a critical mechanism for professional and technological advancement, establishing the foundational competencies and analytical mindset necessary for graduates to thrive as business analysts and contribute meaningfully to the evolution of the global data-driven economy.
Curriculum
Programme Structure
| Year | Themes | Key Modules |
|---|---|---|
| Year 1 | Data Science & Business Foundations | Business Analytics Programming (SAS), Predictive Analytics I (Regression), Prescriptive Analytics I, Analytics Implementation (Spreadsheets/Databases), and Introduction to Accounting, Management, and Marketing. |
| Year 2 | Forecasting & Decision Modeling | Predictive Analytics II (Forecasting), Prescriptive Analytics II (Simulation), Financial Econometrics, Operations Management, Portfolio Theory and Financial Markets, and Problem Structuring Methods. |
| Year 3 | Advanced Optimization & Applied Practice | Prescriptive Analytics III (Optimisation), Analytics in Action I & II, Final Project, Knowledge Management & Ethics, Risk Management, and Strategic Operations Management. |
Field of Research
N/A