School Leavers and Non-School Leavers can apply direct for this degree.
For more information about studying the Bachelor of Data Science / Bachelor of Mathematics
Program handbook
Description
The computing, mathematics and technology industries are at the forefront of new thinking, and are central to the way we work, learn, communicate, socialise and entertain ourselves. Through this program, you might mathematically model the way diseases spread to find a cure for malaria or search for algorithms to speed up computations. By studying the Bachelor of Data Science/Bachelor of Mathematics, you will develop core skills and content in data science and mathematics including data wrangling and visualisation, optimisation, mathematical modelling, complex analysis, predictive analytics, 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.
- Ethical Practice: You will have an understanding of the importance of standards of mathematical practice within the profession and broader community, an awareness of the importance of using appropriate mathematical and statistical models, the ability to validate the reliability of mathematical and/or statistical techniques and cognisant of their scope, and a commitment to keep up with developments in mathematics/statistics.
- Flexibility: You will be able to work in many different environments and have the capacity to both work independently as well collaboratively as part of a team.
- Responsiveness: You will be able to effectively communicate with the mathematical and broader community, using mathematical or statistical tools to assimilate and articulate mathematical/statistical concepts and arguments with clear and systematic reasoning in an appropriate form.
- Skills: You will be a problem-solver who will use their judgement and ability to form conjectures and test them using mathematical or statistical methods, reason formally from hypotheses to conclusions, develop mathematical/ statistical methods to solve problems, and will be experienced in the use of mathematical and statistical resources from the literature or in computational tools.
- Understanding: You will have the ability to formulate mathematical/statistical problems, validate mathematical/statistical models and to interpret their results, and apply and adapt mathematical or statistical knowledge to a wide range of situations.
- Knowledge: You will possess in-depth knowledge and skills in at least one area of mathematics to a depth sufficient for further study, research or employment as a mathematician or statistician or data scientist; with proficiency in the fundamentals of mathematics or statistics; and an awareness of areas of mathematics/statistics and understanding of connections between them.
Details
Information correct as at | Apr 28, 2024 9:15 pm | |||||
---|---|---|---|---|---|---|
Program code | 40277 | |||||
AQF level | Level 7 Bachelor Degree | |||||
Locations and UAC codes | ||||||
Mode of delivery |
| |||||
Duration |
| |||||
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 |
| |||||
Relevant University rules and policies |
| |||||
CRICOS Code | 105363M |
Click on the headings to show/hide sections of content. Hidden information will not be printed. Show all sectionsHide all sections
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
320 units
Program duration
4 years full-time or part-time equivalent up to 10 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/Bachelor of Mathematics requires students to pass courses totalling 320 units, as follows:
- 200 units of Core courses
- either the Pure and Applied Mathematics Major or the Statistics Major
- 20 units from the course list
- 50 units electives
Please note: Students must only complete courses that form part of the program. Electives include any unrestricted courses offered within the university.
Some core courses count towards each major:-
Pure and Applied Mathematics Major: MATH1120, MATH1800
Statistics Major: STAT1100, STAT1300
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
Courses that are currently unavailable are hidden by default. You can show them by adjusting the advanced course filters above, or clicking the 'show all' links below each section.
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 |
MATH1800 | Mathematical Modelling |
| 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 |
MATH2310 | Calculus of Science and Engineering |
| 10 units |
MATH2340 | Linearity and Continuity 1 |
| 10 units |
MATH2350 | Linearity and Continuity 2 |
| 10 units |
STAT2020 | Predictive Analytics |
| 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
Choose 20 units from the Course List. Pure and Applied Math major students will complete STAT2300 plus 10 units. Statistic major students must complete INFT3800 and may double count up to 10 units towards their major. | |||
---|---|---|---|
Code | Title | Term / Location | Units |
STAT2300 | Statistical Inference |
| 10 units |
INFT3800 | Professional Practice in IT |
| 10 units |
STAT3030 | Generalised Linear Models |
| 10 units |
STAT3040 | Forecasting with Linear Time Series Models |
| 10 units |
Majors
Pure and Applied Mathematics
Compulsory | |||
---|---|---|---|
Complete the following compulsory courses. | |||
Code | Title | Term / Location | Units |
MATH1120 | Mathematics for Engineering, Science and Technology 2 |
| 10 units |
MATH1800 | Mathematical Modelling |
| 10 units |
MATH2242 | Complex Analysis |
| 10 units |
MATH2800 | Ordinary Differential Equations and Applied Linear Algebra |
| 10 units |
Course List | |||
---|---|---|---|
Complete 40 units from the following directed courses. | |||
Code | Title | Term / Location | Units |
MATH3120 | Algebra |
| 10 units |
MATH3170 | Number Theory |
| 10 units |
MATH3205 | Applied Fourier Analysis |
| 10 units |
MATH3700 | Partial Differential Equations |
| 10 units |
MATH3820 | Numerical Methods |
| 10 units |
Statistics
Compulsory | |||
---|---|---|---|
Complete the following compulsory courses | |||
Code | Title | Term / Location | Units |
STAT1100 | Data Wrangling and Visualisation |
| 10 units |
STAT1300 | Fundamentals of Statistics |
| 10 units |
STAT2000 | Applied Statistics and Research Methods |
| 10 units |
STAT2300 | Statistical Inference |
| 10 units |
STAT3030 | Generalised Linear Models |
| 10 units |
STAT3040 | Forecasting with Linear Time Series Models |
| 10 units |
STAT3100 | Systems Thinking for an Integrated Workforce |
| 10 units |
STAT3800 | Deterministic and Stochastic Optimisation |
| 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 / Bachelor of Mathematics
UAC Code , Program Code 40277
CRICOS Code , Program Code 40277
Select your study options
Student type
Degree duration
Study location
Admission info
Selection rank
Duration (FT)(PT)
Next start date
UAC Code
Program Code 40277
This criteria is based on a full-time domestic student attending Callaghan campus. Please select your criteria to personalise your study options and your circumstances.
Indicative fee1
Duration (FT)
Next start date
English proficiency requirements
IELTS overall minimum -
IELTS section minimum -
CRICOS Code
Program Code 40277
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.
Disclaimer Every effort has been made to ensure the accuracy of the information on this website. However, changes to courses and programs may occur. The University accepts no responsibility for any information supplied on this web site or any actions taken on the basis of the information. Users are advised to seek confirmation of the information from the relevant area of the University.
The University of Newcastle acknowledges the traditional custodians of the lands within our footprint areas: Awabakal, Darkinjung, Biripai, Worimi, Wonnarua, and Eora Nations. We also pay respect to the wisdom of our Elders past and present.