BP340 - Bachelor of Data Science
Plan: BP340P23 - Bachelor of Data Science
Campus: City Campus
Overview
Program detailsPurpose of the ProgramArticulation and pathwaysEntrance requirementsExternal accreditation and industry linksStudent expenses and charges in addition to feesLibrary, IT and specialist resourcesProgram details
Award title: Bachelor of Data Science
Award abbreviation: BDataSc
Total credit points: 288
Career: UGRD
Duration: 3 years full-time or part-time equivalent
Location: Melbourne, City Campus
Owning school: Computing Technologies (175H)
Owning school URL: www.rmit.edu.au/about/schools-colleges/computing-technologies
ASCED code: 020199
CRICOS code: 110801G
Top of pagePurpose of the Program
The Bachelor of Data Science program is designed to give you broad and coherent theoretical and practical knowledge required to enter the workforce as a data scientist. By completing this degree, you will build a mix of skills in analytics, statistics and computer science that will enable you to be central to business decision-making, corporate strategy and government planning. It will prepare you for a career in data science, which drives economic growth, public policy and corporate strategy by using cutting-edge technologies to aid management analyse large data sets. In addition, ‘minor’ options are offered in the program, which provides you with flexibility to plan your own study, and consequently enable you to build your own ideal skill sets. Job titles for data scientists in this new field are very diverse, for example: analytics specialist, business intelligence developer, data analyst, data architect, data engineer, data miner, data scientist, research scientist and web analyst.
This degree provides an industry related experience through completion of a capstone project in COSC3043 Data Science Project, giving you hands-on, practical experience analysing data in a business setting. Working within a corporate environment, you will integrate the knowledge you’ve acquired throughout the program into a solid skills base to take into your professional life.
This program has been designed to meet the strong demand for skilled professionals in roles such as Data Analyst, Data Architect , Data Engineer, Data Miner, Data Scientist, and Research Scientist (pathway for higher qualifications such as PhD).
Subject to meeting the specified criteria, it may be possible to transfer with advanced standing into the four year BP348 Bachelor of Data Science (Professional), which includes an industry internship. More information is provided in the Work Integrated Learning section of this guide.
While most courses in the program are delivered on campus, others are delivered via a combination of predominantly online activities supported by some campus-based activities.
Top of pageArticulation and pathways
Articulation
Articulation agreements between RMIT programs enable students graduating from an RMIT qualification to achieve advanced standing in a higher level qualification.
Graduates from the RMIT AD006 Associate Degree in Information Technology program can articulate into BP340P23 Bachelor of Data Science with credit. Credit will be assessed consistent with the principles of the RMIT University Credit Policy. (Note: A standard year of full-time undergraduate study at RMIT University is 96 credit points).
For students transferring from another HE program, credit transfers will be considered on a case by case basis.
Pathways
On successful completion of the first two years of this program at a minmum GPA of 3.0, you are eligible to apply for transfer with advanced standing to the BP348 Bachelor of Data Science (Professional) that includes an additional year with internship.
Other 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. MC271 Master of Artificial Intelligence, MC242 Master of Analytics or MC004 Masters of Statistics and Operations Research to have higher level training in Data Science or related fields.
Acceptance into these programs would be subject to each programs' entry requirements.
Top of pageEntrance 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 one of: Maths: General Mathematics or Maths: Mathematical Methods or Maths: Specialist Mathematics, or equivalent studies.
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 pageExternal accreditation and industry links
External Accreditation
The Bachelor of Data Science is conditionallyprovisionally accredited at a professional level by the Australian Computer Society, which accredits Information and Communication Technology related programs that are offered by Australian universities, both onshore and offshore.
Industry Links
The School of Computing Technologies has 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 Industry Advisory 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 scholarship.
Top of pageStudent 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 pageLibrary, IT and specialist resources
Resources available from the Library
RMIT Library provides extensive resources, services and study space. All RMIT students have access to scholarly resources including course related material, books, e-books, journals and databases. Computers and group study rooms are available at each Library. One-on-one study support is available for assistance with assignment preparation, academic writing, referencing, maths and study skills. To contact Library staff for help, phone, email or chat via the Ask the Library service.
For recommended texts and databases relevant to your discipline, refer to http://rmit.libguides.com/compsci for computer science and http:// rmit.libguides.com/mathstats for mathematical sciences.
You can find more information on Library resources and services at: http://www.rmit.edu.au/library.
IT and Wireless
If you have a laptop or other wireless-enabled device you can connect to RMIT’s fast Wi-Fi. While on campus, no matter how you work or where you work, you’re able to connect, collaborate and create using this secure network.
In addition, with myDesktop, you can access your RMIT desktop and applications from home or wherever you have an internet connection.
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 https://www.rmit.edu.au/students.
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: http://www.rmit.edu.au/students/support-services/indigenous.
Top of page[Next: Learning outcomes]