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Massive amounts of data are collected every second via the internet, social media, sensors and networks all over the world. Skilled data analysts are in high demand as organisations increasingly rely on skilled specialists to unlock hidden patterns in big data to provide strategic advantage in the competitive business world. Throughout your data science degree you'll gain the necessary skills needed to transform this data into meaningful and persuasive insights that inform decision making, and graduate with skills that are in high demand by employers.
Undergraduate (your first degree)
An undergraduate degree is generally completed between two to four years, depending on the pattern of study and any recognition of prior learning you may have. Associate degrees, bachelor and bachelor with honours are all undergraduate degrees.
Postgraduate (further study)
A postgraduate qualification can be undertaken by students who have already completed an undergraduate degree or possess significant, demonstrable work experience. Postgraduate courses include graduate certificates, graduate diplomas, master’s and PhDs, as well as specialist programs for industry professionals.
Higher Degrees by Research (supervised research)
Research degrees are research based master’s or PhD programs that focus on a single area of expertise. They provide students the opportunity to carry out highly specialised research under expert supervision.
Skilled data science and analytics professionals are crucial to all industries and organisations are struggling to find people who can turn their data into insights and value, which in turn has created a high demand across the globe for data analysts.
As a graduate, you'll have the skills to be an industry-ready professional with core data analytics, commercial and personal skills which can be applied to a diverse range of business and technology-focused problems. This is highly valued by employers seeking greater efficiencies and competitive advantage through data insights. Typical roles can be found across business and scientific fields, as well as within governments, and include:
- analytics consultant
- analytics programmer
- analytics manager
- business analyst
- business intelligence specialist
- business strategist
- computer system analyst
- data analyst
- data analysis specialist
- data scientist
- data strategist
- information analyst
- information manager/information officer
- market research analyst
- management analyst
- market analyst
- project manager
- predictive modeller
- systems designer.
Deakin Webinar Series: Study data science, the new corporate currency
Do you have a passion for data? Discover how studying data science at Deakin equips you with the progressive knowledge needed turn big data into big insights.
Most of our IT courses are accredited by the Australian Computer Society (ACS), ensuring a high quality of education and providing you with international recognition as an ICT industry professional, so you stand out to future employers.
Deakin’s teaching and research staff are experts in their fields, with broad international links and connections with industry. Our courses are designed to take into account the needs of industry to ensure that what we teach is up-to-date and reflects what organisations need. You'll also have the opportunity to learn from professionals in the field through industry guest lecturers, and can contribute to research and development projects.
Industry placements provide you with an opportunity to immerse yourself in a professional workplace, developing your practical and job-ready skills that employers will regard highly. Developing these professional networks while you study opens up a world of possibilities.
We embrace advances in technology and encourage our students to get out of their comfort zone, and motivate them to achieve high standards in their studies.
Senior Lecturer, School of Information Technology
Research with us
Flesh out your own theories and ideas at a highly conceptual level. Research in this area can bring real value and practical benefits to your place of employment – not just academia. Research anything from examining big data through to data science and manipulation.
The Centre for Pattern Recognition and Data Analytics (PRaDA) focuses on the discovery of patterns in large-scale data and works within project areas as diverse as surveillance, social media and pervasive health while remaining grounded in real-world problems.
Research by the centre drives both the start-up iCetana, an innovative anomaly detection software, as well as TOBY PlayPad, a uniquely adaptive early intervention program for children with autism.
We're here to help
If you're dreaming of an exciting and rewarding career in data science, we'll help get you there.
What does a data science career look like in the era of AI?
If thinking about a career analysing big data, you’re no doubt aware that artificial intelligence (AI) is becoming more and more ubiquitous.
How Deakin’s Cloud Campus can help shape your future
Studying online gives you the flexibility to complete your studies around your current commitments.
Browse other disciplines within information technology
Choose an area that you're interested in and learn how Deakin's extensive range of study options and experiences can help turn your dreams into reality.
*2019 Student Experience Survey, based on undergraduate students
#ARWU Rankings 2019
^Australian Graduate Recruitment Industry Awards, 2017, 2018, 2019 winner
~According to the Voice Project IT Service Quality Support Benchmark Survey
^^Australian Graduate Survey 2010–2015, Graduate Outcomes Survey 2016–2019 (GOS), Quality Indicators for Learning and Teaching (QILT)
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