Bachelor of Computer Science in Data Science Nov 2019
MALAYSIA
3 years
February, July and October
RM40,820 Malaysian student
RM46,640 International student
2020 fees per year
Industrial training
CAREER PATHS
Graduates with data science skills are in high
demand. Possible careers could include:
• business intelligence analyst
• chief data officer
• data analyst
• data architect
• data mining engineer
• data scientist
• quantitative analyst
• quantitative researcher.
You'll be able to work in a wide range of
industries, such as:
• digital humanities
• consulting
• cybersecurity
• law
• scientific research
• marketing
• robotics
• engineering
• business analytics
• banking.
BACHELOR OF
COMPUTER SCIENCE
IN DATA SCIENCE
KPT/JPT (N/481/6/0817) 09/24 - MQA/PSA 12435
This is the era of big data and artificial
intelligence. Data science represents
a cutting-edge discipline which applies
scientific methods, mathematics,
algorithms and artificial intelligence to
extract and visualise intelligent insights
from huge volumes of data.
In the fast-progressing world of the Information
Age these insights, whether delivered via
autonomous integrated systems or in traditional
reports, have the potential to fuel innovation and
transform decision making. Data scientists deal
with the challenges of big data – its interpretation,
management and use – in fields as diverse as
marketing, information systems, engineering,
finance, arts, humanities, science and medicine.
Monash brings an enormous breadth of expertise
to bear on issues relating to big data. We have the
greatest collection of expertise in the theory and
practice of data analytics of any university in the
Asia-Pacific region. If you aspire to solve real-world
problems based on the information challenges of
big data, then specialising in data science will equip
you with the practical skills to excel in your chosen
career – whether as a data scientist, analytics
professional, big data architect, information
visualisation expert or chief information officer.
Learning outcomes
After completing this specialisation, you'll be able to:
• analyse problems, design algorithms to solve
them, and program efficient software solutions
• apply problem solving strategies to develop
efficient solutions.
Areas of study
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Mathematical statistics
Principles of data science
Business intelligence and data warehousing
Data analytics and visualisation
Big data
Deep learning and artificial intelligence.