Program start date | Application deadline |
2024-02-01 | - |
2024-07-01 | - |
Program Overview
RMIT University's Bachelor of Data Science equips students with in-demand skills in data analytics, statistics, computer science, and machine learning. Through a mix of lectures, seminars, and hands-on experience, students develop independent learning abilities and prepare for careers as data scientists, business intelligence developers, and other data-related roles. The program includes a capstone project with industry and a choice of majors and minors in data science fields.
Program Outline
Degree Overview:
The Bachelor of Data Science at RMIT University is designed to equip students with in-demand skills in data analytics, statistics, computer science, machine learning, programming, mathematics, and data wrangling. Graduates will be able to play a central role in business decision-making, corporate strategy, and government planning.
Outline:
Year 1:
- Core data science subjects: mathematics for computing, artificial intelligence, data science, programming, and cyber security
- Innovative programming bootcamp and studio subjects
Year 2:
- Choice of majors and minors in data science fields
- Data science case study
- STEM for sustainable development or cyber-physical-biological systems
Year 3:
- Capstone project with industry
- Machine learning or data mining subject
Assessment:
- Exams, tests, quizzes, essays, reports, assignments, projects, presentations, and laboratory assessments
Teaching:
- Focus on developing independent learning skills
- Mix of lectures, seminars, tutorials, workshops, and practical and laboratory classes
- Bootcamp2Studio model for hands-on experience and real-world skills
Careers:
- Data scientists
- Business intelligence developers
- Data analysts
- Data architects
- Data engineers
- Data miners
- Machine learning engineers
- Programmers
- Research data scientists
- Web analysts
Entry Requirements:
Prerequisites Victorian Certificate of Education (VCE) units 3 and 4: a study score of at least 20 in one of Maths: General Mathematics, Maths: Mathematical Methods or Maths: Specialist Mathematics or equivalent studies.
Language Proficiency Requirements:
To study this course you will need to complete one of the following English proficiency tests: IELTS (Academic): minimum overall band of 6.5 (with no individual band below 6.0) TOEFL (Internet Based Test - IBT): minimum overall score of 79 (with minimum of 13 in Reading, 12 in Listening, 18 in Speaking and 21 in Writing) Pearson Test of English (Academic) (PTE (A)): minimum score of 58 (with no communication band less than 5