In a data-driven world, mathematics is fundamental to our way of life. Gain knowledge to address real-world challenges and be an innovator in your chosen field. Apply mathematical skills to develop the next generation of AI, secure sensitive data, predict market trends or engineer everything from bridges to skyscrapers and space craft.
With a Diploma in Mathematical Studies, you’ll learn to tackle the most pressing societal challenges. From AI and quantum computing to data science and financial modelling – mathematical skills are in high demand – and opportunities are vast.
With our Diploma in Mathematical Studies, it’s a step to becoming a specialist who can not only understand foundational theories – but can apply them to solve real-world problems.
Spanning a year, our comprehensive courses will expose you to topics including linear algebra, calculus, programming, discrete mathematics, research in mathematics, probability, geometry, and statistical practice.
You’ll be introduced to growing fields through subjects like critical evaluation in data science, and mathematical data science. You’ll also gain expertise in research. Guided by our expert staff, you’ll study mathematical reasoning and arguments to open-ended problems. Learn to contribute effectively and strategically to your future workplace by developing skills in communication through a discovery project.
By the end, you’ll be able to demonstrate skills for growth industries like banking or defence. You could step further into research. Either way, you’ll be ready to help advance human knowledge through mathematical prediction and innovation.
Apply fundamental mathematical concepts to current and future technologies. Decipher the data-driven world through data analytics and quantitative methods. Develop mathematical reasoning abilities for open-ended problems through a guided research project. Gain the building blocks for advanced studies in algebra and calculus to specialise in growth industries. Increase employability through technical and critical thinking. Learn communication and research skills to contribute strategically to your future workplace. Our Diploma in Mathematical Studies will provide you with the knowledge to thrive in our data-driven world, gaining insights into the cutting-edge technologies shaping our future.
You’ll study calculus, linear algebra and statistics. You’ll be introduced to fundamental mathematical structures such as functions, vectors, complex numbers and matrices. This knowledge is vital for many fields like data science, engineering and finance.
You’ll examine statistical theory, application and communication, and learn how to implement theory into software to interpret results. Explore the intricacies of discrete mathematics – including combinatorics, graph theory, and modular arithmetic – fundamental to both mathematics and computer science. Master essential techniques of calculation and mathematical proof, laying a solid foundation for further study and research.
Gain a deeper understanding of data analytics and quantitative methods to critically analyse data, interpret complex statistical models, and make informed decisions. You’ll learn to navigate the rapidly evolving field of data science, understanding its potential and limitations. Beyond data, you’ll investigate geometry, exploring a range of geometric concepts and the power of mathematical proof. The geometry course is ideal for aspiring mathematics educators and anyone seeking to develop strong logical and deductive reasoning skills.
This degree is part of a stackable set of qualifications, meaning your study choices are flexible. If your goals shift, you can exit after one year of study with a standalone Diploma or after two years with an Associate Degree.
You can also begin your studies with a shorter qualification like the Diploma, and continue on to complete the Associate Degree (two years) or full bachelor degree.
Complete 48 units comprising:
Complete 36 units comprising:
| Course name | Course code | Units | |
|---|---|---|---|
|
Course name
UG Common Core 1
|
Course code
AUXX1000
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Problem Solving and Programming
|
Course code
COMP1002
|
Units
6
|
|
|
Course name
Calculus 1
|
Course code
MATH1004
|
Units
6
|
|
|
Course name
Calculus 2
|
Course code
MATH1005
|
Units
6
|
|
|
Course name
Linear Algebra
|
Course code
MATHX104
|
Units
6
|
|
|
Course name
Probability and Statistics
|
Course code
STATX100
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
| Year 1 | |||
| Semester 1 | |||
 |
Course name
Problem Solving and Programming
|
Course code
COMP1002
|
Units
6
|
|
Course name
Calculus 1
|
Course code
MATH1004
|
Units
6
|
|
Course name
Probability and Statistics
|
Course code
STATX100
|
Units
6
|
|
Course name
|
Course code
-
|
Units
6
|
| Semester 2 | |||
|
Course name
UG Common Core 1
|
Course code
AUXX1000
|
Units
6
|
|
Course name
Calculus 2
|
Course code
MATH1005
|
Units
6
|
|
Course name
Linear Algebra
|
Course code
MATHX104
|
Units
6
|
|
Course name
|
Course code
-
|
Units
6
|
Complete exactly 12 units from the following:
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Discrete Mathematics
|
Course code
MATH1006
|
Units
6
|
|
|
Course name
Geometry
|
Course code
MATH1007
|
Units
6
|
|
|
Course name
First Steps in Mathematics Research
|
Course code
MATH1011
|
Units
6
|
|
|
Course name
Mathematics in Action
|
Course code
MATH1012
|
Units
6
|
|
|
Course name
Introduction to Mathematical Data Science
|
Course code
MATH1035
|
Units
6
|
|
|
Course name
Critical Evaluation in Data Science
|
Course code
MATHX106
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
| Year 1 | |||
| Semester 1 | |||
|
Course name
Problem Solving and Programming
|
Course code
COMP1002
|
Units
6
|
|
Course name
Calculus 1
|
Course code
MATH1004
|
Units
6
|
|
Course name
Probability and Statistics
|
Course code
STATX100
|
Units
6
|
|
Course name
|
Course code
-
|
Units
6
|
| Semester 2 | |||
|
Course name
UG Common Core 1
|
Course code
AUXX1000
|
Units
6
|
|
Course name
Calculus 2
|
Course code
MATH1005
|
Units
6
|
|
Course name
Linear Algebra
|
Course code
MATHX104
|
Units
6
|
|
Course name
|
Course code
-
|
Units
6
|
With a Diploma in Mathematical Studies from Adelaide University you’ll gain access to professional roles that span finance, technology, government, education, and research – giving you versatile career prospects.
You could use your problem-solving and technical skills in mathematical modelling and statistical analysis to work as a data analyst or data scientist, providing insights in areas like healthcare diagnostics. Perhaps becoming a Financial Analyst or Quantitative Analyst suits you. The finance industry offers opportunities in areas like portfolio optimisation, option pricing, and stock market prediction. Maybe you’ll further your studies, becoming a maths teacher to inspire the next generation of mathematicians.
Other potential careers might include:
The demand for mathematicians is soaring due to a surge in STEM-related fields – 70% of the fastest growing occupations will require STEM skills (Australian Mathematical Sciences Institute, 2021). Mathematics is becoming an indispensable tool for driving innovation. Industries across the board are increasingly reliant on data-driven decision-making. The rise in advanced technologies like artificial intelligence (AI) and big data has created a wealth of opportunities for mathematicians to apply their expertise. From quantum computing and cybersecurity to predictive analytics and financial technologies – mathematicians are at the forefront of progress.
Explore answers to some of our most frequently asked questions.
Adelaide University sets you up for success in your studies – and your social life. You’ll have access to work placement and internship opportunities, overseas study tours and exchanges, networking events with guest speakers and more. Our campuses are equipped with purpose-built facilities including lecture theatres, libraries, workshops, laboratories, and spaces that simulate real work environments. These are all supported by the latest technologies and a 24/7 online learning platform with personalised study information and resources.
You’ll have everything you need to live well and thrive during your studies, with health services on campus, gymnasiums, technology zones and modern student lounges. Get involved in campus sport or join our student clubs that will connect you to your passions – and the people who share them.
Adelaide also has a variety of accommodation options to suit your individual requirements and budget, with options ranging from dedicated student accommodation to private rentals. One of the world’s most liveable cities, Adelaide has lots of leafy parks, gardens and social hubs – and some of the highest living standards globally. No matter where you are in Adelaide, you’re only a short distance from beaches, vineyards, museums, art galleries, restaurants, bars and parklands. Visit the accommodation web page to find out more.
Student services
We’re here to support you on your student journey. Adelaide University offers a range of support services and facilities, including:
You’ll also have unlimited access to our dedicated student support hub. Visit in-person or online, or contact our friendly team by phone. We can assist you with anything study-related including enrolment, identification cards, timetables, fees and more.
You'll be studying at one of our renowned campuses, accessing cutting-edge facilities and contemporary study spaces.
Your courses will require a combination of different learning formats, including lectures, tutorials, workshops, seminars and practicals. Aside from your classes, you’ll also need to allocate additional time for independent study. This may include assignments, readings, projects and contributing to online discussion forums. As a rough guide, full-time studies may require 12-26 hours of class time and 14-18 hours of independent study per week.
During your studies at Adelaide University, you’ll complete a mixture of practical, professional and research-based learning. Your assessment types will vary depending on the degree you’re studying, but may include:
