Campuses and locations
The University of Newcastle is a multi-campus institution offering programs in a number of locations.
I am a prospective
student, looking to study at
Online
Duration1 year part-time up to 3 years maximum.1 year full-time.
Mode of deliveryOnline
Start datesSemester 1 (21 Feb 2022), Semester 2 (18 Jul 2022), Trimester 3 (22 Aug 2022),
Semester 1 (21 Feb 2022), Semester 2 (18 Jul 2022), Trimester 3 (22 Aug 2022),
FeesFind information about indicative course and program fees.AUD 18,760 (indicative annual fee, 2021)
Indicative annual fees are based on a full year full time load (80 units). Find out more about fees
Indicative annual fees are based on a full year full time load (80 units). Find out more about fees
English proficiencyIELTS overall minimum - 6.5, IELTS section minimum - 6.0 Find out more about IELTS.
Program Code40162
Study Data Science
The data science industry is constantly evolving, and the specialised knowledge is used around the world every day. Understanding data is vital to the success of any business and the science behind various data sets plays an important part in decision making through evidence-based research.
If you’re interested in updating your skills and staying on top of an ever-changing industry, the Graduate Certificate in Data Science will help you get there.
Equip yourself with the essential professional skills and knowledge to understand and engage with a variety of data generated from diverse industries and settings.
Your studies will incorporate understanding and analysing Big Data through statistical learning, classification, and dimension reduction methods to utilise the critical information within these enormous amounts of data.
Bringing together several key theories and technologies used in manipulating, storing, and analysing big data, you’ll also focus on visual explorations through formal analytical testing, modelling, and data mining methods.
While data exploration is important, scientific interrogation and evidence-based decision-making is critical. You’ll also learn to model real-world situations, think abstractly and manipulate, analyse, interpret, visualise and effectively communicate data.
Your studies will focus on the latest industry developments and you will acquire an understanding of data science, from the basic skills of data processing and visualisation to building sophisticated descriptive and predictive models.
Why study with us?
- Keep up with a fast-paced industry - 75% of the fastest growing occupations require Science, Technology, Engineering and Mathematics (STEM) skills.
- Learn from some of the best in the field – our data science experts are specialists in fields such as science, mathematics, statistics, engineering and information technology. These experts will challenge you and help you build on your skills, so you can take on more senior roles in the data science industry.
- Expand your career opportunities – apply the practical skills and knowledge that you gain during your studies to specialise in your current workplace, or up-skill to progress in your career path.
World top 200
?
for Statistics and Operational Research
What you will study
A Graduate Certificate in Data Science from the University of Newcastle will provide you with the specialised skills to extract and communicate information from data. If you’re already a data scientist, or working in a related industry, this program will expand your practical skills and give you knowledge of the latest developments in the industry.
You’ll focus on the following areas:
- Data Wrangling and Visualisation
- The Science of Data Interrogation
- Predictive Analytics
- Big Data
Analytical thinking and innovation, critical thinking and analysis, technology use, monitoring and control, technology design and programming and reasoning, problem-solving and ideation are all embedded within this degree, and are skills that have been identified as being in demand and emerging according to the World Economic Forum’s The Future of Jobs Report 2020.
Program plans
Download a program plan for further details on your degree's structure and what courses you will study.
These program plans are applicable to new students. Current students should refer to the program handbook to access the plan relevant to the year they commenced.
- 2018-2021 Program Plan 149.1 KB
Career
Career opportunities
At the beginning of 2017, Australia experienced a large spike in people looking for a new job, with data scientist jobs surging by 138 per cent in January compared to the average level of job searches over 2016. After being coined the sexiest job of the 21st century, the growth in the interest around these types of roles is driven by the enormous job potential within this field.
Be on the forefront of an emerging field where companies are recognising the importance of the value of data and how this can be integrated into business strategy. Study a Graduate Certificate in Data Science at the University of Newcastle and expand your career options to take on roles like:
- Data Scientist
- Data Analyst
- Data and Insights Expert
- Researcher
- Big Data Specialist
- Information Security Analyst
These are all emerging roles which have been identified as being in high demand in Australia according to the World Economic Forum’s The Future of Jobs Report 2020.
Study with us
Hear from our students
Listen to our students talk about their degree and life at the University of Newcastle.
How to apply
Applying for Graduate Certificate in Data Science
I am a prospective
student, looking to study at
Online
Before you get started
To ensure that the process goes smoothly for you, you should complete the following steps before applying:
- Review the program that you wish to apply for. Note the admission criteria, admission instructions, requirements & structure and any additional information listed.
- Review the program fees and costs.
- Check whether your postgraduate program has a Semester or a Trimester closing date. Please view the application closing date.
- If you are from a non-English-speaking background, you need to satisfy the University's English language requirements and ensure that you can provide evidence of your English proficiency if required.
You will be considered for entry based on criteria such as your undergraduate studies and/or equivalent prior learning and/or relevant work experience.
Other things to consider
Make sure you double check the special entry requirements, assumed knowledge or recommended studies for the degree:
Admission to the program will be available for applicants who have
- An AQF level 7 Bachelor degree or higher tertiary qualification OR
- An AQF Level 6 Advanced Diploma or Associate Degree in a cognate area plus a minimum of one year relevant experience, OR
- An AQF Level 5 Diploma in a cognate area plus a minimum of two years relevant experience, OR
- At least 5 years relevant professional experience
To be considered for admission based wholly or partly on professional experience, applicants must be able to demonstrate that their professional experience involves accessing/analysing/interpreting data.
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.
A background in Mathematics, Engineering, Science, Psychology, Computer Science, Health, Statistics and/or related field.
You can look at Uni prep for options to brush up on knowledge before you start.
Ok, great, let's go!
Applications to study are now open. Submit your application now.
Apply to study in Australia
Both students and education agents can submit applications online. This is our preferred way of application. You can save your application after you have started, and come back to it later.
Alternatively you may complete a paper-based application.
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.