School Leavers and Non-School Leavers can apply direct for this degree.
For more information about studying the Bachelor of Data Science
Program handbook
Description
Data is everywhere and is exponentially growing in its creation. Data Scientists create and use various tools and frameworks in order to analyse for patterns in data, then communicate their findings to others. The University of Newcastle’s Bachelor of Data Science will allow you to develop core skills in data science including data wrangling and visualisation, programming, data security, and applied artificial intelligence including machine intelligence.
Program learning outcomes
On successful completion of the program students will have:
- Expertise: You will be a data scientist who can draw on a body of knowledge that spans data science, data analytics, data architecture, data engineering, and data wrangling, to apply yourself across a range of professions, projects, and problems.
- Awareness: You will be to apply your learning and skills to create new understandings of the world and real world issues that lay at the intersection of many traditional and emerging disciplines.
- Tenacity: You will be a problem solver and an innovator who can identify, draw upon and manage resources to take a project from concept to completion.
- Perception: You will be a critical thinker who has keen insight and a broad perspective of the world to find solutions to complex problems.
- Responsiveness: You will be a person who has the flexibility to work in many different environments, to harness collective knowledge within local and global professional networks, to communicate effectively, to work with people and have an appreciation of others.
- Integrity: You will be a professional who can apply your skills and knowledge of data science to the highest ethical standards responsibly and honestly.
Details
| Information correct as at | May 5, 2024 10:50 am | |||||
|---|---|---|---|---|---|---|
| Program code | 40276 | |||||
| AQF level | Level 7 Bachelor Degree | |||||
| Locations and UAC codes | ||||||
| Mode of delivery |
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| Duration |
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| Selection Rank |
This program is new for 2022, there is currently no commencing student profile available. | |||||
| Assumed knowledge | Mathematics Advanced | |||||
| Recommended studies | HSC Mathematics Extension 1 or equivalent | |||||
| Term type | Semesters | |||||
| Fees |
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| Relevant University rules and policies |
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| CRICOS Code | 105362A |
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Admission information
Admission requirements
Eligibility for admission to this program is based on applicants meeting the minimum selection rank, or satisfying the requirements for an approved admission scheme.
The University of Newcastle accepts a range of qualifications to determine eligibility for admission. These include, but are not limited to, Australian or overseas senior secondary qualifications (such as the HSC), prior tertiary studies, prior TAFE/VET studies, and completed enabling programs.
For further information on the pathways that are available to you, please refer to:
Enrolling in mathematics - Maths placement test
Your degree includes either compulsory or optional courses in maths. To maximise your likelihood of academic success, it is recommended that you select the course which matches your existing knowledge and understanding of maths concepts.
Answer a few questions now to find out what mathematics you should enrol in.
English Language Requirements
All Applicants must demonstrate that they meet the University’s English proficiency requirement. Further information regarding English language proficiency requirements can be found at the English Language Proficiency for Admission Policy here.
- IELTS Overall Minimum: 6
- IELTS Sub Test Minimum: 6
Credit transfer
If you wish to apply for credit for studies completed at another institution, or if you are changing programs within the University and wish to transfer your credit to the new program, visit the University's credit website for more information on applying for credit.
Academic requirements for program completion
Total units required
240 units
Program duration
3 years full-time or part-time equivalent up to 8 years maximum.
International students studying this program on campus are required to enrol full time to comply with their student visa requirements and complete their study in the standard minimum program duration. International students requiring enrolment advice should review the program plan corresponding to the semester and year of commencement and can contact their Program Advisor at ProgramAdvice@newcastle.edu.au
Program requirements
The Bachelor of Data Science requires students to pass courses totalling 240 units, as follows:
- 170 units of Core courses
- 10 units from the 2000 Level course list
- 10 unit from the 3000 Level course list\
- 50 units of Electives
Please note: Students must only complete courses that form part of the program. Electives include any unrestricted courses offered within the university. In addition the program must include:
- No more than 100 units at 1000 level.
- At least 40 units at 2000 level.
- At least 60 units at 3000 level.
Program planner
Current students program planner
Current students can plan their program using Program Planner.
Prospective student degree planner
If you're a prospective student considering studying this degree take a look at My Degree Planner to see what your study journey will look like.
Program structure
Students can plan their program using Program Planner. It is recommended students review the program handbook in conjunction with using Program Planner.
Advanced course filters
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Core
Complete the following core courses to fulfil the requirements of this program. | |||
|---|---|---|---|
| Code | Title | Term / Location | Units |
| COMP1140 | Database and Information Management |
| 10 units |
| MATH1110 | Mathematics for Engineering, Science and Technology 1 |
| 10 units |
| MATH1120 | Mathematics for Engineering, Science and Technology 2 |
| 10 units |
| MATH1510 | Discrete Mathematics |
| 10 units |
| SENG1110 | Object Oriented Programming |
| 10 units |
| SENG1120 | Data Structures |
| 10 units |
| STAT1100 | Data Wrangling and Visualisation |
| 10 units |
| STAT1300 | Fundamentals of Statistics |
| 10 units |
| COMP2230 | Algorithms |
| 10 units |
| INFT2150 | Business Analysis |
| 10 units |
| STAT2020 | Predictive Analytics |
| 10 units |
| STAT2300 | Statistical Inference |
| 10 units |
| COMP3260 | Data Security |
| 10 units |
| COMP3330 | Machine Intelligence |
| 10 units |
| COMP3340 | Data Mining |
| 10 units |
| COMP3851A | Computing and Information Sciences Work Integrated Learning Part A |
| 10 units |
| COMP3851B | Computing and Information Sciences Work Integrated Learning Part B |
| 10 units |
Course List
Complete 10 units from the following course list. | |||
|---|---|---|---|
| Code | Title | Term / Location | Units |
| MATH2340 | Linearity and Continuity 1 |
| 10 units |
| SCIE2001 | Professional Employment Skills |
| 10 units |
| STAT2000 | Applied Statistics and Research Methods |
| 10 units |
Course List
Complete 10 units from the following course list. | |||
|---|---|---|---|
| Code | Title | Term / Location | Units |
| INFT3800 | Professional Practice in IT |
| 10 units |
| STAT3030 | Generalised Linear Models |
| 10 units |
| STAT3040 | Forecasting with Linear Time Series Models |
| 10 units |
Electives
| Electives 50 unit requirement | |
|---|---|
Complete 50 units of electives to fulfil the requirements of the program. Electives can be used to extend and complement your core studies with more courses in the same field of study, or from areas that might be of interest to you. Electives can be chosen from all courses available at the University that do not have any other conditions (such as a course requisite) applied to them. | 50 units |
Additional information
Through the Pathways and Academic Learning Support Centre, students can access a free suite of NUPrep preparation courses as well as Academic Learning Support.
Aboriginal and Torres Strait Islander students can draw on the assistance and support provided by the Indigenous Student Support and Development service through the Wollotuka Institute.
International students
All International Students enrolled in the program will be provided with an orientation to familiarise them with the rules, expectations, facilities and services offered by the University. Please visit our International Students website to find out more about the support services available to international students.
Additional support
AccessAbility provides advice and reasonable adjustments to Students with a medical or health condition or disability. If you require adjustments to undertake your program, contact the Student Support Advisors - AccessAbility before semester or early in the semester. They will work with the College or School to ensure that this happens in a timely manner.
Please note: All students must fulfil the inherent requirements of the programs and courses they are undertaking. While reasonable adjustments can be made, these adjustments cannot compromise academic integrity. It is the student's responsibility to check all the requirements of courses, and consider the effects of any medical condition or disability on their ability to complete course requirements. More information is available online.
Bachelor of Data Science
UAC Code , Program Code 40276
CRICOS Code , Program Code 40276
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Program Code 40276
This criteria is based on a full-time international student attending Callaghan campus. Please select your criteria to personalise your study options and your circumstances.
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