Undergraduate degree Bachelor of Data Science / Bachelor of Mathematics
I am a prospective
student, looking to study at
Newcastle
UAC code489793 - Newcastle
LocationNewcastle
Duration4 years full-time or part-time equivalent up to 10 years maximum.4 years full-time.
Mode of deliveryFace to Face
Start datesIntake in 2022, Intake in 2022,
English proficiencyIELTS overall minimum - 6.0, IELTS section minimum - 6.0 Find out more about IELTS.
CRICOS CodeCRICOS code: 105363M
Program Code40277
Selection Rank
N/A
Entry requirements

Admission to our undergraduate degree programs usually requires successful completion of a senior secondary school qualification similar to the Higher School Certificate (HSC), the highest educational award in New South Wales schools.

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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Details

Information correct as at11 May 2021 8:25 pm
Program code40277
Locations and UAC codes
Mode of delivery
  • Face to Face
Duration
  • Australian students - 4 years full-time or part-time equivalent.
  • International students - 4 years full-time.
Selection Rank
LocationSelection RankMedian

This program is new for 2021, there is currently no commencing student profile available.

Find out more about Selection Ranks

Assumed knowledgeHSC Mathematics Advanced or equivalent
Recommended studiesHSC Mathematics Extension 1 or equivalent
Term typeSemesters
Fees
    Relevant University rules and policies
    CRICOS Code105363M

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    Admission information

    Admission requirements

    Admission to this program is available to Australian students, residents and international students. Admission information for Australian students and residents is available online here. Admission information for international students can be found here. During the admission process adjustment factors may be applied to your Selection Rank. Please visit our website to see if you are eligible.

    Minimum English language proficiency 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.


    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:

    • 210 units of Core courses
    • 110 units from either the Pure and Applied Mathematics Major or the Statistics Major as follows

    The Pure and Applied Mathematics Major is comprised of the following 110 units:

    • 20 units of Compulsory courses
    • 40 units of Group A Directed courses
    • 10 units of Group B Directed courses
    • 40 units of Electives

    The Statistics Major is comprised of the following 110 units:

    • 50 units of Compulsory courses
    • 60 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.

    Some core courses count towards each major:-

    Pure and Applied Mathematics Major: MATH1120, MATH1800

    Statistics Major: STAT1100, STAT1300, STAT2300


    Program structure

    Students are advised to read their program handbook information in conjunction with the program plans for course sequence/enrolment advice. Please refer to the Program Plan for the year that you commenced, or transitioned into, this program - Program Plans are available above.

    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 Courses

    Complete the following core courses.

    CodeTitleTerm / Location Units
    COMP1140Database and Information Management
    • Trimester 1 - 2021 (Singapore)
    • Semester 2 - 2021 (Callaghan)
    • Semester 2 - 2021 (Central Coast)
    10 units
    MATH1110Mathematics for Engineering, Science and Technology 1
    • Semester 1 - 2021 (Callaghan)
    • Semester 1 - 2021 (UNCIE)
    • Trimester 3 - 2021 (Singapore)
    • Semester 2 - 2021 (BCA Singapore)
    • Semester 2 - 2021 (Callaghan)
    10 units
    MATH1120Mathematics for Engineering, Science and Technology 2
    • Summer 2 - 2021 (Callaghan)
    • Trimester 1 - 2021 (Singapore)
    • Semester 1 - 2021 (Callaghan)
    • Trimester 3 - 2021 (Singapore)
    • Semester 2 - 2021 (Callaghan)
    10 units
    MATH1510Discrete Mathematics
    • Semester 2 - 2021 (Callaghan)
    10 units
    MATH1800Mathematical Modelling
    • Semester 2 - 2021 (Callaghan)
    10 units
    SENG1110Object Oriented Programming
    • Semester 1 - 2021 (Callaghan)
    • Semester 1 - 2021 (UNCIE)
    • Semester 2 - 2021 (Callaghan)
    10 units
    SENG1120Data Structures
    • Semester 1 - 2021 (Callaghan)
    • Semester 2 - 2021 (Callaghan)
    10 units
    STAT1100Data Wrangling and Visualisation
    • Semester 1 - 2021 (Callaghan)
    10 units
    STAT1300Fundamentals of Statistics
    • Semester 2 - 2021 (Callaghan)
    10 units
    COMP2230Algorithms
    • Semester 2 - 2021 (Callaghan)
    10 units
    INFT2150Business Analysis
    • Trimester 2 - 2021 (Singapore)
    • Semester 2 - 2021 (Callaghan)
    • Semester 2 - 2021 (Central Coast)
    10 units
    MATH2310Calculus of Science and Engineering
    • Trimester 1 - 2021 (Singapore)
    • Semester 1 - 2021 (Callaghan)
    • Trimester 2 - 2021 (Singapore)
    • Semester 2 - 2021 (Callaghan)
    10 units
    MATH2340Linearity and Continuity 1
    • Semester 1 - 2021 (Callaghan)
    10 units
    MATH2350Linearity and Continuity 2
    • Semester 2 - 2021 (Callaghan)
    10 units
    STAT2020Predictive Analytics
    • Semester 2 - 2021 (Callaghan)
    10 units
    STAT2300Statistical Inference
    • Semester 2 - 2021 (Callaghan)
    10 units
    COMP3260Data Security
    • Semester 1 - 2021 (Callaghan)
    10 units
    COMP3330Machine Intelligence
    • Semester 1 - 2021 (Callaghan)
    10 units
    COMP3340Data Mining
    • Semester 2 - 2021 (Callaghan)
    10 units
    COMP3851AComputer Science and Information Technology Work Integrated Learning Part A
    • Trimester 1 - 2021 (Singapore)
    • Semester 1 - 2021 (Callaghan)
    • Semester 1 - 2021 (Central Coast)
    • Trimester 3 - 2021 (Singapore)
    • Semester 2 - 2021 (Callaghan)
    • Semester 2 - 2021 (Central Coast)
    10 units
    COMP3851BComputer Science and Information Technology Work Integrated Learning Part B
    • Trimester 1 - 2021 (Singapore)
    • Semester 1 - 2021 (Callaghan)
    • Semester 1 - 2021 (Central Coast)
    • Trimester 2 - 2021 (Singapore)
    • Semester 2 - 2021 (Callaghan)
    • Semester 2 - 2021 (Central Coast)
    10 units

    Pure and Applied Mathematics Major

    Compulsory Courses

    Complete the following compulsory courses.

    CodeTitleTerm / Location Units
    MATH2242Complex Analysis
    • Semester 2 - 2021 (Callaghan)
    10 units
    MATH2800Ordinary Differential Equations
    • Semester 1 - 2021 (Callaghan)
    10 units
    Group A Directed Courses

    Complete 40 units from the following directed courses.

    CodeTitleTerm / Location Units
    MATH3120Algebra
    • Semester 1 - 2021 (Callaghan)
    10 units
    MATH3170Number Theory
    • Semester 2 - 2021 (Callaghan)
    10 units
    MATH3205Fourier Analysis
    • Semester 1 - 2021 (Callaghan)
    10 units
    MATH3700Partial Differential Equations
    • Semester 2 - 2021 (Callaghan)
    10 units
    MATH3820Numerical Methods
    • Semester 1 - 2021 (Callaghan)
    10 units
    Group B Directed Courses

    Complete 10 units from the following directed courses.

    CodeTitleTerm / Location Units
    INFT3800Professional Practice in IT
    • Semester 1 - 2021 (Callaghan)
    • Trimester 2 - 2021 (Singapore)
    10 units
    STAT3030Generalised Linear Models
    • Semester 2 - 2021 (Callaghan)
    10 units
    STAT3040Forecasting with Linear Time Series Models
    • Semester 1 - 2021 (Callaghan)
    10 units

    Statistics Major

    Compulsory Courses

    Complete the following compulsory courses.

    CodeTitleTerm / Location Units
    STAT2000Applied Statistics and Research Methods
    • Semester 1 - 2021 (Callaghan)
    10 units
    STAT3030Generalised Linear Models
    • Semester 2 - 2021 (Callaghan)
    10 units
    STAT3040Forecasting with Linear Time Series Models
    • Semester 1 - 2021 (Callaghan)
    10 units
    STAT3100Systems Thinking for an Integrated Workforce
    • Semester 2 - 2021 (Callaghan)
    10 units
    STAT3800Deterministic and Stochastic Optimisation
    • Semester 1 - 2021 (Callaghan)
    10 units

    Additional information

    All students can access free academic skills and support provided by Academic Learning Support through the Pathways and Academic Learning Support Centre.

    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 Faculty 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.

    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.