Program start date | Application deadline |
2024-09-16 | - |
Program Overview
The BSc (Honours) in Data Science program provides a comprehensive foundation in data science concepts and techniques. Students develop skills in data modeling, programming, statistics, machine learning, and data visualization. The program prepares graduates for careers in data science, business intelligence, and related fields, with a focus on practical applications and industry-relevant knowledge.
Program Outline
Outline:
Year 1
Semester 1
- Computational Thinking
- The Computing Industry
- Problem Solving and Programming Concepts
- Discrete Mathematics
- Introduction to Data Science
Semester 2
- Introduction to Data Modelling & Databases
- Computing Systems
- Programming I
- Statistics I
Year 2
Semester 1
- Programming II
- Advanced Databases
- Data Visualisation
- Statistics II
Semester 2
- Linear Algebra
- Data Mining & Machine Learning
- IT Project Management
- Programming III
Year 3
Semester 1
- Data Architecture
- Scalable Data Analytics
- Advanced Machine Learning
Elective (One)
- Data Warehousing and Business Intelligence
- Artificial Intelligence
Semester 2
- Work Placement OR
- Academic Internship
Year 4
Semester 1
- Data Science Project
Electives (Two)
- Systems Modelling, Simulation & Optimization for Analytics
- Strategic Data Analysis
- Neural Networks and Prescriptive Analytics
- Text Analytics
Semester 2
- Data Science Project
- Data Governance, Security & Ethics
Elective (One)
- IoT Real Time Analytics
- Time Series and Financial Analytics
- Healthcare Analytics
Careers:
Graduates from the BSc (Honours) in Data Science go on to work with a variety of organisations including multinationals, financial services and professional services companies. Related data science roles include data scientist, business intelligence analyst, customer insight lead, risk analyst, knowledge engineer, and data programmer.