Bachelor of Data Science

Overview

Duration
FULL-TIME 3 YEARS
Scholarship
YES
Fee
AU$38,400
Intake
FEBRUARY, JULY

Overview

  • Build in-demand skills, choose your area of study and follow your passion in the emerging and expansive field of data science.
  • RMIT's Bachelor of Data Science will develop skills in data analytics, statistics, computer science, machine learning, programming, mathematics, and data wrangling that will enable you to be central to business decision-making, corporate strategy and government planning.
  • You will gain strong problem-solving skills, and learn how to effectively communicate your work to technical and non-technical audiences, work independently or as a team, and factor in relevant standards, ethical and legal considerations to your projects.
  • Using cutting-edge technologies, you will learn how to analyse and manage large amounts of data from various sources and evaluate their insights and solutions. You will gain hands-on experience using Python and R programming languages.
  • Personalise your degree to suit your career aspirations, selecting from a wide range of majors and minors. Major in advanced data science, cyber security or enterprise systems. Specialise in AI, data analysis, cloud computing, mixed reality, software development and blockchain.
  • Gain industry experience and connections while you study through work integrated learning experiences. Opportunities include capstone projects, case studies and programming studios.

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Career

  • Data scientists are some of the most highly sought after and highly paid professionals in the world.
  • As a graduate of this data science degree, you will have the theoretical and practical knowledge needed to pursue an interesting and flexible data science career in a range of data-driven industries and organisations.
  • Jobs in this in-demand field are vast and may include:
  • Analytics specialist
  • Business intelligence developer
  • Data analyst
  • Data architect
  • Data engineer
  • Data miner
  • Data scientist
  • Machine learning engineer
  • Programmer
  • Research data scientist
  • Web analyst.

Entry 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 50)
  • Cambridge English: Advanced (CAE): minimum of 176 with no less than 169 in any component.

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