Bachelor of Computer Science in Data Science

Big data and artificial intelligence are prevalent in this day and age. Data science is a cutting-edge study that uses scientific methods, mathematics, algorithms, and artificial intelligence to extract and visualise intelligent insights from vast amounts of complex data. It is a separate but related field to computer science.
These insights have the power to spur innovation and revolutionise decision-making in the rapidly evolving Information Age. In domains as varied as marketing, information systems, engineering, finance, the arts, humanities, science, and health, data scientists tackle the problems of large data, including its interpretation, administration, and use.
Monash applies a wide range of knowledge to big data-related problems. A data science specialisation will provide you with the hands-on skills you need to succeed in your chosen field if you want to tackle real-world problems based on the information difficulties of big data. Get your foot in the door today because there is a significant talent shortage in the fields of data engineering and big data analytics worldwide.
 

Qualification Scores:

• Monash University Foundation Year (MUFY)*: 70%
• GCE A Level**: 9
• ATAR: 80
• Gaokao, China: 70%
• Hong Kong Diploma of Secondary Education: 18
• Indian School Certificate Examination: 70%
• All India Senior School Certificate Examination: 75%
• International Baccalaureate Diploma Program (IB Diploma Program): 28
• STPM, Malaysia: 8.5
• UEC, Malaysia: ≤4.2
• Program Matrikulasi (Matriculation Program), Malaysia: 2.67
• Ontario Secondary School Diploma: 81.6%
• Sri Lankan General Certificate of Education (Advanced Level): 11
• High School Diploma, Vietnam: 8.28
• UNSW Foundation Studies: 7.5
• Foundation in Science and Technology, Sunway College: 70%
• Foundation in Arts, Sunway College: ∆
• Diploma of Higher Education Studies (DHES): 60%
• Monash College Diploma Part 2***: 60%

*The undergraduate entry requirements published are for students who commence the MUFY program in 2024.

**The Malaysian Qualification Agency (MQA) accepts a minimum D Grade in A Level to be equivalent to the STPM Pass grade.

***The Monash College Diploma Part 2 entry requirements published are for students commencing their undergraduate destination degree in 2025.

Note: According to the MQA Program Standards, only Diploma applicants who completed a Diploma in Science and Technology or a Diploma in Computing fields can be considered for enrolment into a bachelor’s degree in computer science.

Prerequisite:

• Mathematics (Australian Year 12 Higher equivalent) is a formal prerequisite for the Bachelor of Computer Science in Data Science.  

English Language Requirements:

• IELTS (Academic)/IELTS One Skill Retake (Academic)/IELTS Online:
  • Overall score: 6.5
  • Listening score: 6.0
  • Reading score: 6.0
  • Writing score: 6.0
  • Speaking score: 6.0
• TOEFL iBT/TOEFL iBT Paper Edition:
  • Total Score: 79
  • Listening score: 12
  • Reading score: 13
  • Writing score: 21
  • Speaking score: 18
• PTE Academic:
  • Overall score: 58
  • Listening score: 50
  • Reading score: 50
  • Writing score: 50
  • Speaking score: 50
• C1 Advanced or C2 Proficiency:
  • Overall score: 176
  • Listening score: 169
  • Reading score: 169
  • Writing score: 169
  • Speaking score: 169

YEAR 1/LEVEL 1

Semester 1

• Introduction to programming
• Foundations of computing
• Introduction to computer systems, networks and security
• Elective

Semester 2

• Fundamentals of algorithms
• Introduction to data science
• Elective
• IT professional practice and ethics

YEAR 2/LEVEL 2

Semester 1

• Algorithms and data structures
• Databases
• Elective
• Elective

Semester 2

• Theory of computation
• Modelling for data analysis
• Data visualisation
• Elective

Summer semester

• Industry work experience

YEAR 3/LEVEL 3

Semester 1

• Data science project 1
• Data Analytics
• Technical elective unit
• Elective

Semester 2

• Data science project 2
• Technical elective unit
• Elective
• Elective