Overview
Is a Master of Business Data Science for You?
The Master of Business Data Science programme aims to produce professionals with the skills and knowledge to delve into strategic data analytical aspects of business and its growth. In today’s rapidly evolving digital environment, the ability to interpret and leverage data is crucial. The programme prepares students for key analytical skills important in today's digital environment, such as business analytics, data analytics, machine learning engineering and data science. Graduates of this programme will be well-prepared to tackle real-world business problems, utilising a blend of theoretical knowledge and practical application.
Career Impact
Career Prospect
Graduates of the Master of Business Data Science can work in various roles in business, but it can also be typically narrowed to:
- Data analyst
- Business analyst
- Machine learning engineer
- Data scientist
- Entrepreneurs and technopreneurs
Career Organisation
Graduates can find employment opportunities in organisations such as:
- Banks/Financial services
- Consulting firms
- Business intelligence research centres
Course Structure
Course Description
The Master of Business Data Science programme aims to produce professionals with the skills and knowledge to delve into strategic data analytical aspects of business and its growth. The programme prepares students for key analytical skills important in today's digital environment, such as business analytics, data analytics, machine learning engineering and data science. The programme will leverage real-world business problems to engage in practical applications.
Semester 1
- Coding for Data Science
- Business Data Techniques & Analytics
- Research Methods for Business Data Science
- Data Management
Semester 2
- Applied Machine Learning
- Behavioural Science for Business Domain
- Data Mining and Statistical Methods
- Research Project 1
Semester 3
- Cloud Infrastructure and Services
- Data Storytelling and Analytics
- Natural Language Processing
- Research Project 2