Monash University Malaysia

Overview of Bachelor of Computer Science in Data Science in Monash University Malaysia Malaysia

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 office

SUBJECTS

• Mathemathical statistics
• Principles of data science
• Business intelligence and data warehousing
• Data analytics and visualisation
• Big data
• Deep learning and artificial intelligence

LEVEL ONE
This level consists of mathematics and introductory computer science units.

Core Units

• Algorithms and programming fundamentals in Python
• Introduction to computer systems, networks and security
• Introduction to computer science
• Introduction to data science
• Discrete mathematics for computer science
• Continuous mathematics for computer science.

Elective Units
Select two units from the list below or from another school::

• Business and economics statistics
• Programming fundamentals in Java

LEVEL TWO

Core units

• Algorithms and data structures
• Theory of computation
• Modelling for data analysis
• IT professional practice and ethics
• Databases.

Elective units
Select any three units from the list below or from another school.

• Operating systems
• Object-oriented design and implementation
• Mobile application development
• Introduction to cyber security
• Introductory econometrics.

LEVEL THREE

Core units

• Data visualisation
• Data science project 1
• Data science project 2.

Elective units
You're required to complete three electives in your third year. You can select any unit from any school, but must complete at least two approved data science elective units from the list below:

• Data analytics
• Deep learning
• Business intelligence and data warehousing
• Big data management and processing
• Parallel computing
• Image processing
• Information and network security
• Intelligent systems
• Usability.

CAREER PROSPCETS

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.

ENTRY REQUIREMENTS

You will need the following entry scores for the Bachelor of Computer Science in Data Science: