An online Bachelor of Data Science (or Data Analytics) degree can set you up for job success. Graduates come away with the foundation skills for an interesting and rewarding career.
- Fantastic job opportunities are available for data science and analytics professionals.
- You can major in data science and analytics as part of an online information technology or computer science degree.
The best programs provide solid preparation for a future career as a data scientist. You develop technology skills broadly while building key strengths in data analysis.
Why a Data Science Degree?
Getting a data science degree is one of the single most powerful ways to boost your value in the job market. Data analysis skills are in demand, across both specialist and general professional roles.
Useful skills
An ability to extract human-level information and insights from data is what you'll learn by studying data analytics at university. That's an amazing skill to have.
To keep up with the explosion of big data across all industries, college and universities have debuted dozens of data analytics programs during the past few years. They teach students how to find patterns, predictions, stories and meaning in massive, messy sets of data. ~ Matthew Neal
The world is generating vast quantities of digitised information – at an accelerating rate. Profit opportunities from data analysis are enormous and continue growing.
Extracting meaning out of data requires mathematical talent, but also the training in statistics, modelling and programming you get from a data science and analytics degree.
Not just data analysis
What you can do with a data science degree is broader than many people imagine.
The value of data comes not from the difficulty or brilliance of the computations performed, but in how information and insights influence human decision-making. Professional roles and opportunities for people skilled in data analysis extend into communication, advisory and leadership fields.
What You'll Learn: Subjects
In an undergraduate data analytics program, you build foundation skills by studying subjects such as:
- using different kinds of programming to solve problems
- the tools for doing big data analytics
- using the R language for statistical analysis
- structuring data to make it suitable for problem solving
- modelling methods for predicting behaviours and outcomes
- how to present data to be visually appealing.
These skills should be reinforced and developed after you graduate by working as a data analytics professional.
Complementary topics
Data analytics / science is available as a major within a broader program. The field is commonly studied as part of a computer science or IT degree. To become job-ready, try to include business intelligence and analytics in your program.
Data Science and Analytics Degrees
The best online bachelor degrees for analytics / data science prepare students for future roles as data scientists.
The university programs give you the opportunity to become familiar with and build proficiency in data-centric problem solving. Data science training is complemented by general studies of information technology and computer science.
Australia's best degrees are available 100% online. Each university also has a strong track record in distance learning.
Deakin Bachelor of Computer Science
Deakin University's Bachelor of Computer Science has a strong data analytics focus. Core units include data science concepts, data capture technologies, data structures and algorithms, artificial and computational intelligence, and data mining and machine learning. As well, you can choose business and mathematics electives from other Deakin University cloud programs. The course is organised into 3 semesters annually, and is available both online and at Burwood Campus in Melbourne.
UNE Bachelor of Computer Science (Data Science)
You can major in Data Science as part of the University of New England's Bachelor of Computer Science. The course is available both online and at Armidale in New South Wales. To qualify for the major, students are required to complete 6 core units: programming paradigms, parallel and distributed computing, artificial intelligence, algorithms in machine learning, statistical modelling and experimental design, and statistical learning.
Data Analytics Careers – Job Ad Snippets
Snippets from jobs ads. Random sample.
Junior Data Analyst (Internship) – Hello Fresh
This role is a fantastic opportunity for a recent graduate or someone part way through their studies with a numerical and analytical background. On a daily basis, you will responsible for extracting and analysing data, drawing actionable insights to enable decision-making on the key questions facing all areas of operations.
Data Insights Analyst – HotelsCombined
We are looking for a passionate Data Insights Analyst who is commercially minded and approaches work with a ‘start-up’ attitude. Working within our Product team, this is a great opportunity to put your deep data and analytical talents to use and have some fun along the way. In this role you will discover actionable insights into user behaviour, enabling us to continually improve our core products.
Data Scientist / Analyst – Airservices Australia
A typical application is the analysis of aircraft delays into major airports, to identify causal factors and provide intelligence on where to invest efforts to reduce delay and deliver tangible outcomes for our airline customers.
Data Analyst – Domain
As a Data Analyst in our SEO (search engine optimization) team, you will leverage your deep experience in data analysis and data mining to drive significant organic search traffic and user engagement growth for our network of websites.
Data Analyst – Energy Strategic Partners
The Data Analyst is responsible for tracking and analysing trends and performance of each supplier in areas such as pricing and products, as well as reporting internal supplier KPIs e.g. Sales performance, supplier mix and quality metrics such as go-live and compliance levels.
Data Scientist – Nearmap
Want to do petabyte scale deep learning and ship product to real customers? At Nearmap, we're growing our data science team, and we’re after a data scientist / machine learning engineer who’s got enough experience to just come in and get stuck in.
Data Scientist – Allianz
You will use your analytical and machine learning skills to help the business make smarter decisions to improve processes. Apply data mining techniques, doing statistical analysis and creating predictive modelling that can be used to drive and improve business processes.
Data Scientist – Westpac Group
We are looking for Data Scientists. Through the application of data mining, predictive analytics and machine learning techniques they will support teams across the bank. The ideal candidate is adept at using large data sets and streaming data to find opportunities to help optimise portfolio performance, identify customer needs and test the effectiveness of different courses of action.
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Bachelor of Information Technology
