Start date
February
July

Duration
3 year(s) full-time

Mode
On-campus/Online

Program Code
LBMH

Prerequisites
SACE Stage 2 Math Methods
More info

Assumed Knowledge
None

Fees
AUD$ 35,300 per annum (per 1.0 EFTSL) for students enrolled in 2023

English Language Requirements
  • IELTS total [6.0]
  • IELTS reading [6.0]
  • IELTS writing [6.0]
Equivalent English qualifications (PDF)

International Admission by Country
See full entry requirements

CRICOS Code
095006G

Degree overview

  • Prepare for a dynamic career in the growing field of data science.

  • Learn a uniquely balanced mix of mathematics, information technology and data science.

  • Join an exceptional cohort of students learning from educators dedicated to training to next generation of mathematicians and data scientists.

  • Gain access to a diverse range of researchers in statistics, data science and applied mathematics working together to discover, understand, interpret and apply mathematics to important industrial and social problems.

  • Develop the ability to solve complex problems quantifying and understanding data.

  • Gain real-world experience with a major project or completion of the Maths Clinic program working closely with an industry partner.

  • Study at a university with research in the field of mathematical sciences, applied mathematics and statistics ranked well above world-class1.

  • Pursue a career in industry across a range of sectors or consider building your expertise with a research degree. 

12018 Excellence in Research for Australia (ERA).

Snapshot

Snapshot

Information and data are being generated faster than ever before, with the trend driven by advances in computing power, exponential growth in internet use and increased cloud computing. Organisations can benefit significantly from the analysis of this data, resulting in growing demand for data science experts to inform and drive business decisions1.

This degree is designed to produce job-ready graduates to meet this industry need, and to fill the growing range of work opportunities in the market. Successful maths and data scientists draw on skills from a range of complementary disciplines, so this degree offers a balanced mix of mathematics, information technology and data science. In your final year you’ll have the chance to complete an industry-based project to experience real-world challenges and gain workplace experience.

You will graduate ready to work in a data science role in industry or the public sector. Because data science is also a tool that supports research across an increasing range of disciplines, you could also choose to continue with a Bachelor of Applied Science (Honours) (Mathematics), a Bachelor of Information Technology (Honours), or eventually a PhD.

Flexible study opportunities are available, you can study full-time or part-time.

If you think you might be interested in secondary school teaching, you can apply for the Bachelor of Mathematics (Data Science)/Master of Teaching (Secondary) – a direct pathway to postgraduate study.

1Deloitte Access Economics 2018

What you'll learn

What you Learn

In your first year you’ll study core subjects in maths and IT. You will focus on building your mathematical and programming skills with courses that include calculus, statistical methods, fundamentals of programming, and databases.

You will then move into your applied data science studies. You’ll study cross-disciplinary areas such as web development, data structures and mathematical communication, and mathematical modelling.

In your final year you’ll combine study and hands-on experience with courses in programming and networking, decision making and analytics. You will also complete either an industry-based Maths Clinic project or a major project to strengthen your abilities in research, analysis, and interpretation of data.

Degree structure

Course name Area and cat no. Units Reference  
FIRST YEAR
First Semester (Study Period 1, 2 or 3)
Calculus 1 MATH 1054 4.5
Statistical Methods MATH 1068 4.5
Problem Solving and Programming COMP 1039 4.5
Information Technology Fundamentals INFT 1016 4.5
Second Semester (Study Period 4, 5 or 6)
Calculus 2 MATH 1055 4.5
Linear Algebra MATH 1056 4.5
Object Oriented Programming COMP 1046 4.5
Data Driven Web Technologies INFS 1025 4.5
SECOND YEAR
First Semester (Study Period 1, 2 or 3)
Applied Probability MATH 2030 4.5
Data Structures Essentials COMP 2012 4.5
Linear Programming and Networks MATH 2014 4.5
Discrete Mathematics MATH 1043 4.5
Second Semester (Study Period 4, 5 or 6)
Mathematical Communication MATH 2024 4.5
Mathematical Modelling MATH 2031 4.5
Data Analytics using R COMP 2032 4.5
Big Data Concepts INFS 4020 4.5
THIRD YEAR
First Semester (Study Period 1, 2 or 3)
Analytics for Decision Making INFS 3075 4.5
Predictive and Descriptive Analytics INFS 3076 4.5
Visualisation for Data Science INFS 3078 4.5
Mathematics Clinic 1 MATH 3021 4.5 Note(s): 2
OR
Elective 4.5
Second Semester (Study Period 4, 5 or 6)
Text and Social Media Analytics INFS 3077 4.5
Business Intelligence and Analytics INFS 4018 4.5 Note(s): 3
University Elective 4.5 Note(s): 1,4
Mathematical Sciences Project MATH 3013 4.5
OR
Mathematics Clinic 2 MATH 3034 4.5

Study hours

For each course you study, you will need to allocate time for various classes such as lectures, tutorials, workshops, seminars and practicals. Plus you will need additional hours to study in your own time to complete assignments, readings and projects, as well as to contribute to online discussion forums (independent study). So as a general rule, if you are studying full-time you would need to allocate 12–26 hours of study when at university and 14–28 hours of independent study per week.

Assessment

Assessment

Your studies at UniSA will incorporate both practical, professionally-focused and research-based learning, so assessment types will vary. You can expect them to include:

  • group and individual projects
  • examinations
  • essays, assignments and tests
  • reports and project documentation

Global opportunities

Enrich your studies and your life – make overseas study part of your qualification. You may have the option to undertake an exchange, short-term program or study tour overseas while you study. We have links with universities worldwide, as well as a range of travel grants available to make going overseas much more accessible.

You can choose short-term or semester-long study from a range of universities and countries depending on your area of study and cultural interests.

Take a look at the global opportunities available.

Global opportunities

Why Bachelor of Mathematics (Data Science)

Why this Degree

This degree offers the opportunity to benefit from our strong industry partnerships, providing real-world experience and significant opportunities to learn in a cooperative environment and build important networks and connections. High achieving students will have the chance to work in the Maths Clinic to solve an industry problem for a sponsoring private, government or non-profit organisation. The Maths Clinic not only offers valuable experience, but a supportive academic setting to maximise your technical and professional skill development.

Many of your courses will be small, incorporating activities that encourage peer learning and develop cooperation and communication skills. Our degrees emphasise the development of critical thinking, creativity and hands-on learning.

Mathematics degrees at UniSA share many common courses, so if you wish to change to the Industrial and Applied Mathematics specialisation at the end of your first year you can receive credit for the courses you’ve already done.

Real-world connections

UniSA collaborates with over 2,500 companies worldwide – so you’ll have plenty of chances to get hands-on experience and make industry connections. Many of our graduates have been employed through work placements or internships.

We are home to a diverse range of researchers in statistics, data science and applied mathematics who work together to discover, understand and interpret data related to important industrial and social problems. Our group also seeks to develop new research strengths in mathematics and statistics and train the next generation of mathematicians and data scientists.

We also host regular University-wide employee master classes and employment expos, and alumni events in Australia and overseas.

Data Science

UniSA Data Science programs have been developed with industry partners, include the use of relevant programming languages and software platforms, and will prepare you for a career in this growing sector.

UniSA Video

Career outcomes

Your career

The growth and diversity of data available is allowing companies to integrate analytics into their daily operations, triggering the development of analytics roles in a broad range of sectors, and subsequently increasing demand for people with data science skills1. Graduates can consider the following careers:

  • big data visualiser: using visualisation software to analyse data, drawing implications and communicating findings; providing input on database requirements for reporting/analytics; acquiring, managing and documenting data (e.g. geo-spatial); creating visualisations from data or GIS data analysis
  • data scientist: understanding interfaces, data migrations, big data and databases; taking the lead in processing raw data and determining the best types of analysis; mining large volumes of data to understand user behaviours and interactions; communicating data findings to IT leadership and business leaders to promote innovation
  • big data researcher: extracting data from relational databases; manipulating and exploring data using quantitative, statistical and visualisation tools; selecting appropriate modelling techniques so predictive models are developed using rigorous statistical processes; maintaining effective processes for validating and updating predictive models
  • data miner: collecting data from numerous databases; helping businesses to make decisions about how data should be analysed in areas such as expenses, profitability, and for other important business decisions

1Deloitte analytics trends 2018

How to apply

To apply:

  • go to the top of this page and make note of the relevant SATAC code*, then click Apply
  • you will be redirected through to the SATAC website to continue your application

*There are two SATAC codes – one for this degree, and one for this degree packaged with the Master of Teaching. You can apply to study this degree on its own. However if you already know you would like to combine it with a Master of Teaching, you can apply for both together.

Alternative Pathways

There are a wide variety of pathways into studying Science and Mathematics at UniSA
Find an Alternative Pathway

Scholarships

Every year, over 2,500 UniSA students are supported in their studies through scholarships and grants worth millions of dollars. Check out the scholarships below. One of them may be perfect for you. Visit our scholarships page for more.

More scholarships

Your study experience and support

As a UniSA student, you will have unique access to work placement opportunities, overseas study tours and exchanges, networking events, internships, guest speakers and more.

Our campuses are equipped with state-of-the-art facilities including modern lecture theatres, libraries, workshops and laboratories, as well as spaces that simulate real work environments. These are all supported by the latest technologies and a 24/7 online learning platform. We have health services on campus, gymnasiums, technology zones and great student lounges. You will also gain access to a range of community clinics, which provide professional and cost effective services in areas of health, business, law and psychology. There are campus sport activities to keep you active, and if you are keen to explore the social side of university life, there are movies, cooking demonstrations, parties and lots more.

Adelaide also has a variety of accommodation options to suit different requirements and budgets. Options include dedicated student accommodation and private rentals. See our long-term accommodation pages, or explore our student accommodation by Scape on Bank Street in Adelaide’s lively cultural precinct, an ideal location for students. It is within easy reach of UniSA’s city and metropolitan campuses, Rundle Mall shopping, the Central Market, Chinatown, and the West End’s vibrant nightlife. It is also across the road from the Adelaide train station, and on bus and tram routes.

Student services

Student services

Our international student services provide you with all the support you need at university. We want you to succeed, and if you need help, we're here to assist. You can access a full range of support services, including:

  • career advice and mentoring
  • help with student visas and health cover
  • personal counselling
  • academic counselling
  • fees and finance help
  • common rooms
  • prayer rooms
  • security officers
  • accommodation services 
  • as well as services offered through our student association, USASA.

We also offer study support from our Learning Advisers face-to-face or online. They are here to help you develop academically and professionally during your studies, and can offer help with the English language too. When you become a UniSA student, you can also contact Campus Central for help with anything related to your degree. They will help you with your enrolment, ID cards, fees, timetables and more.

24/7 digital environment

Our learnonline facilities include a personal learning environment with virtual classrooms, lecture recordings, emails, learning support, administration, library access and results. The environment is available 24 hours a day, seven days a week, so you can tailor your learning to your life. We are continually investing in innovative digital technologies for a high-quality student learning experience.

Student services

Your campus

We have six campuses in metropolitan and regional areas, each with modern facilities including lecture theatres, libraries and laboratories, as well as spaces that simulate real work environments.

Location This degree is delivered at the following campus.

Your program director

As well as doing research in mathematics, I am also interested in improving the way mathematics is communicated to students and the public in general. My research interests include partial differential equations, analysis, and probability.

Dr Kevin White

Program Director

Enquire
Portrait image for Dr Kevin White
Portrait image for Dr Kevin White

Dr Kevin White

Program Director

Enquire

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