Why Graduate Certificate in Data Science (Applied)?
Transform raw data into actionable insights.
The world generates vast amounts of data every day. Organisations across all sectors are focused on gathering, analysing and leveraging this data to improve decision-making and foster innovation.
Our Graduate Certificate in Data Science (Applied) will put these highly sought-after skills in your professional portfolio.
This program is taught 100% online, giving you the freedom to study on your terms.
Overview
Learn fundamental data science skills while you keep working. Our flexible Graduate Certificate in Data Science (Applied) is taught 100% online and is designed to be completed in eight months of part-time study.
In this graduate certificate, you'll learn from content designed by practising industry-leading data scientists who are experts in their respective fields. Cover core topics in data science technologies and best practices to drive organisational change. Apply the principles of big data and data science analysis to tackle real-world challenges. Implement context-aware data analysis, machine learning, and optimisation techniques using industry-standard methods. Evaluate the social and ethical implications of data science to ensure responsible practice. Communicate data insights effectively using advanced analysis, presentation, and visualisation techniques.
You’ll emerge with a comprehensive skill set that combines technical expertise with critical thinking and ethical awareness, preparing you to lead data-driven initiatives across various sectors.
Key features
Learn fundamental data science skills including key mathematical and data modelling methods.- Develop understanding of the latest R and Python tricks from leaders in the data science field.
- Benefit from flexible learning with courses taught in intensive and blended mode.
- Study 100% online and at a pace that suits you.
- Obtain only the must-have data science skills to maximise your earning potential.
- Continue onto our graduate diploma or master’s program, or finish with a graduate certificate.
What you'll learn
Our 100% online Graduate Certificate in Data Science (Applied) provides you with freedom to study on your own terms. Designed to be completed over eight months of part-time study, this flexible online program will equip you to apply data science principles effectively and confidently in your chosen professional field.
You’ll complete four core courses, covering topics such as: data taming, modelling and visualisation, foundations of computer sciences – Python A; applied data science; and human and ethical factors in computer science.
This combination of courses is designed to help you gain a broad understanding of data science as an organisational process. Throughout, you’ll build sound working knowledge of the discipline’s technical practice alongside comprehensive skills in evaluating and applying best-practice analytics tools and techniques in real-world settings.
Your study will include real world-languages and tools, such as:
- Python: Known as the Swiss Army knife of the coding world, Python is the most popular and easy to use programming language that demands the highest salaries.
- R & RStudio: Our data certification will teach you to master the most powerful tools in R that will allow you to turn raw data into insights. Learn how to wrangle, analyse and visualise data using R in the course ‘Data taming, modelling, and visualisation’.
- NumPy: NumPy is an important linear algebra library in Python that data science and machine learning packages depend on. You will become familiar with how to build multidimensional arrays and high-level mathematical functions.
- Pandas: Pandas is another Python software library used for data manipulation and analysis. Discover how to explore, clean, transform, visualise and learning from data.
- Matplotlib: Matplotlib is used to create high-quality graphs, charts and figures – an essential component of data science.
All assessments and coursework are 100% online. Types of assessments include analysis, case studies, discussion board discussions, practical projects or quizzes.
What courses you'll study
Complete 24 units comprising:
- 24 units from Core courses
Complete exactly 24 units from the following:
| Course name | Course code | Units | |
|---|---|---|---|
|
Course name
Foundations of Computer Science - Python A
|
Course code
COMP5057
|
Units
6
|
|
|
Course name
Applied Data Science
|
Course code
INFO5044
|
Units
6
|
|
|
Course name
OL Human and Ethical Factors in Computer Science
|
Course code
COMP6029
|
Units
6
|
|
|
Course name
Data Taming, Modelling and Visualisation
|
Course code
INFO5043
|
Units
6
|
| Course name | Units |
|---|---|
| Year 1 | |
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
Career outcomes
You could help an organisation identify opportunities for improved customer relationships through better-targeted service offerings. You might help local educators or health providers analyse information and apply improvements from national and global trends. Perhaps you’ll help the Defence Force refine its deployment processes for international peace-keeping initiatives.
The tech giants like IBM, Amazon and Microsoft hire the most data scientists in the world. With access to massive volumes of data, they are well-placed to innovate AI, automation and machine learning to maintain their competitive advantage.
Insights from big data can lead to major financial benefits, revealing both untapped opportunities and hidden risks. Consultants and financial institutes hire data scientists to help serve clients, automate tasks and enhance cost efficiencies.
Data science jobs in the government sector are growing, as leaders continue to acknowledge the economic, environmental and social benefits that data can offer. Fraud detection, tax compliance, weather prediction, smart cities and intelligence all require specialist skills in data science.
Potential roles you could work in include:
- Management analyst
- Business data analyst
- Data analyst.
Industry trends
The need for data scientists is predicted to grow in an increasingly data-driven world. The projected job growth for data scientists is 27.7% in the next five years, making the career prospects promising (Randstad, 2024).
Your study experience and support
Studying 100% online with Adelaide University means joining a dynamic community of learners – all supported by dedicated teams committed to your success. From day one to graduation, you’ll have access to comprehensive academic, student and technical support teams to ensure you get the most out of your online learning journey.
Student support services
Need help with enrolments, managing your study load, or setting your academic goals? Our student support team is here to assist. They’re your first point of contact for advice and are available seven days a week, including out-of-hours and on weekends. Get the help you need – when it suits you.
As an online student, you’ll also have access to our specialised on-campus student support services. Whether you’re looking for career advice, health and wellbeing support, international student assistance, accessibility services, or something else, we’ve got you covered. Visit the Support webpage to explore the services available.
Online academic support
From understanding course content to tackling assignments, writing, and referencing, our expert academics are here to guide you. Available seven days a week, they’ll provide personalised support to help you progress through your studies.
Tech support
We’ve got your back when it comes to technology. Our IT support team is available 24/7 to resolve any tech challenges you might face. With fast response times and tailored solutions, we’ll ensure nothing stands in your way. You’ll also enjoy free access to software downloads required for your program.
Study hours
Adelaide University’s 100% online programs offer the flexibility to fit your lifestyle. You can engage with course materials at any time that works for you – there’s no need to log in at set times. To stay on track, we recommend setting aside 10 to 15 hours per week for each course, but you can adapt your schedule and your study load to suit your needs.
Assessment
All assessments, including exams (if required) are conducted 100% online – so you’ll never need to travel to submit an assignment or sit an exam. Depending on your program, your assessments might include:
- An industry-relevant project or case study
- An online presentation
- Essays and reports.
