BP340 - Bachelor of Data Science

Go to Enrolment Program Structures Search

Plan: BP340 - Bachelor of Data Science
Campus: City Campus

Overview

Program details
Purpose of the Program
Articulation and pathways
Entrance requirements
External accreditation and industry links
Student expenses and charges in addition to fees
Library, IT and specialist resources

Program details

Award title: Bachelor of Data Science
Award abbreviation: BDataSc
Total credit points: 288
Career: UGRD
Duration: 3 years full-time, 6 years part-time
Location: AUSCY, City Campus
Owning school: Science (171H)
Owning school URL: www.rmit.edu.au/about/our-education/academic-schools/science/
ASCED code: 020199
CRICOS code:

*Top of page

Purpose of the Program

The Bachelor of Data Science program is designed for high school graduates with or without programming experience who want to become data scientists. It will prepare you for a career in data science, an emerging area driving economic growth, public policy and corporate strategy through management of very large collections of data to derive insights that ultimately benefit society. Job titles for data scientists in this new field are very diverse, for example: analytics specialist, business intelligence analyst, business intelligence developer, data analyst, data architect, data engineer, data miner, data scientist, research scientist and web analyst. 

In this program you will undertake a capstone project in the 12 credit point ONPS2186 Science Project 1 and 24 credit point course ONPS2669 Science Project. These capstone project courses provide you with hands on practical experience analysing data in a project environment. The emphasis is on understanding and working within a corporate environment and integrating all the skills and knowledge that you have acquired from your previous courses into a solid base to progress from into your professional life. 

This program is delivered on-campus requiring in person attendance. 

*Top of page

Articulation and pathways

There are currently no VET qualifications that provide a program pathway into the BP340 Bachelor of Data Science program. For students transferring from another HE program, credit transfers will be considered on a case by case basis.

Options for further study include; BH012 Bachelor of Science (Honours) in Computer Science or Mathematical Sciences to pursue a research training with a pathway towards a PhD, or MC061 Master of Computer Science, MC267 Master of Data Science, MC242 Master of Analytics or MC004 Masters of Statistics and Operations Research to have higher level training in Data Science or related fields.

*Top of page

Entrance requirements

Program entry requirements

Successful completion of an Australian Year 12 senior secondary certificate of education or equivalent.

For information on international qualifications and corresponding entry requirements that are equivalent to Australian academic entry requirements, see the Country equivalents web page.

Prerequisites

Victorian Certificate of Education (VCE) Units 3 and 4: a study score of at least 30 in English (EAL) or at least 25 in English other than EAL; Units 3 and 4: a study score of at least 20 in any Mathematics.

English language requirements

A minimum IELTS (Academic module) overall score of 6.5, with no band below 6.0; or equivalent.

For equivalents to English entry requirements, see the English equivalents web page.

*Top of page

External accreditation and industry links

Computer Science and Information Technology and Mathematical Sciences disciplines within the School of Science have substantial links with the industry, government and community both within Australia and internationally. Employers and industry professionals are members of our Industry Advisory Committees and those and others with Data Science expertise have contributed to the initial development and ongoing improvement of the program. Their involvement ensures that the program remains relevant to your needs as a graduate and the needs of graduate employers. The committee meets regularly and provides feedback on the currency of the program, the changing needs of industry and has input into the design of new programs. Our industry partners also actively contribute to the School through participation in Work-Integrated Learning (WIL) courses, seminars, marketing events, industry awards and scholarships. 

*Top of page

Student expenses and charges in addition to fees

Once you are enrolled as a student in this program you will need to allow for expenses other than university tuition fees.  Additional expenses may relate to the purchase of lecture notes, textbooks, stationery, consumables such as printer paper, fees levied by commercial internet service providers for internet access outside of the university campus, and other relevant costs.

*Top of page

Library, IT and specialist resources

Resources available from the Library

As a student enrolled in a program at RMIT University you can access the extensive services, facilities and study space provided by the Library. You can access books, journals and other course related materials, such as DVDs, past exams, newspapers and e-books. Through our document delivery service you can also request items from any library in the world.

Computers for study are available at every Library site, where you can access the Internet, myRMIT or Library e-resources. If you have a laptop you can access the RMIT wireless network in the Library.

Library staff can show you how to find information for your assignments or you can work through web-based tutorials or use our online Ask a Librarian service.

The Library is continually expanding our electronic collections to make it easier for you to get the information you need when you need it. All RMIT students have unlimited access to quality electronic resources such as, e-books, e-journals and newspapers.

You can find more information on Library resources and services at: http://www.rmit.edu.au/library including specific resources for computer science: http://rmit.libguides.com/compsci and mathematical sciences: http://rmit.libguides.com/mathstats.

 

Online learning tools and content

As a student in this program you may access online learning tools and content for your program and associated courses from the student portal, myRMIT http://www.rmit.edu.au/myrmit.

The Computer Science and Information Technology within the School of School also provides you with access to its specialised computer laboratories both for use during scheduled classes and outside scheduled class times. These laboratories provide access to a range of computer environments including a variety of database products under different operating systems.

 

Learning services available to you as a student at RMIT

RMIT provides a wide range of resources and opportunities to assist your learning and wellbeing so you can achieve your study and career goals.

Services are available face to face and online assisting with:

  • transition to tertiary study and learning
  • study skills, academic skills including literacy, mathematics and basic sciences if relevant
  • enabling assistance if you have a disability, long term medical condition or other form of disadvantage

which may impact on your learning

  • career development and employment
  • living and wellbeing (including advice on health, housing and financial matters)
  • opportunities for scholarships, leadership and study abroad
  • opportunities for participating in arts, sport, recreation, fitness activities as well as student activism and university governance

We also offer a friendly and supportive environment for Aboriginal and Torres Strait Islander students.

You can find more information at: www.rmit.edu.au/students.

*Top of page
 
 
[Next: Learning outcomes]