OVERVIEW

Imagine a career in an industry so new it's evolving even as you study. Discover a career where your skills make you a sought after, highly-paid professional leading an industry as it grows.

Data Analytics is where data science, statistics, AI and machine learning meet. Big data and analytics impact every organisation, from technology start-ups to multinational companies. You'll learn to analyse massive amounts of structured and unstructured data, provide insights, and use the data to innovate and create business solutions.

You will understand the entire data lifecycle, including the phases that define how information is created, gathered, processed, used, and analysed.

The unparalleled growth in data-driven technologies has created new career opportunities in health, science, finance, law, astronomy, geology and beyond.

This course opens the door to opportunities in smart technologies, like the Internet of Things, smart homes, robotics and deep learning applications.

CAREER PATHS

A career in data analytics will give you great job prospects.

Roles include:

The Bachelor of Data Analytics provides you with valuable knowledge in data analytic lifecycles and applying key industry tools.

Get ready for an exciting career in areas including smart technologies applications, such as the Internet of Things, smart homes, robotics and deep learning. You’ll develop practical skills and methodologies to think differently.

As smart technologies evolve, they create massive volumes of data. Managing, interpreting, storing and securing this data is a challenge to existing technologies. We expect there to be a growing demand for dedicated data analytics organisations and experts to service them. As a graduate of the Bachelor of Data Analytics you’ll have the foundations needed to thrive as the industry grows.

Specialised electives will prepare you for a career in emerging industries including smart technologies and advanced artificial intelligence. You’ll be ideally placed to drive business innovation.

In addition, you’ll learn theories and practices in deep learning, neural networks and advanced smart algorithms. This course will expose you to machine learning tools and technologies that you can apply to investigate real world data problems.

Additional specialisations and majors may be offered in the future.

These include:

The Bachelor of Data Analytics requires 18 Common Core units, a capstone Industry-based Project (attuned to major) (2 units) and electives (to be chosen from approved list) (4 units).

Each unit consists of 15 credit points. A full-time study load is 60 credit points per trimester. The degree will run for three years with 360 credit points (15 points x 24 units).

Data analysts are more than just the numbers people - they’re at the forefront of business strategy and decision making. Employers are demanding graduates who are innovative thinkers, who can work collaboratively and can problem solve to create cost effective business solutions.

That’s why we focus on meaningful group learning and building industry connections for all students in our industry projects.

These units are designed to provide you with real-world experience, working for an industry client.

• Develop vital soft skills, like leadership, communication and negotiation, when you communicate and collaborate with a team of your peers
• Conduct high level research, analysis and development
• Tackle complex real-world problems with technical and creative skills

• Demonstrate a coherent understanding of fundamental theories and practices in computing technologies, and possess the ability to apply skills and knowledge of a selected computing discipline to solve contemporary real?world problems.

• Design, develop and evaluate computing solutions in contemporary industry applications using available tools, technologies, and methodologies, with demonstrated understanding of business practices, ethics, and technological landscapes.

• Plan and deploy computing solutions for industry problems with demonstrated knowledge of industry best practice and business acumen.

• Investigate and recommend innovative computing solutions to complex industry problems, with the demonstrated ability to independently learn and critically analyse.

• Collaboratively lead a team of professionals to achieve synergetic goals and to effectively communicate processes and results to management and technical audiences.

• Identify and evaluate solutions to data analytics problems based on business requirements and to design and develop effective data analytics applications using available specialist tools and technologies.

• Plan and deploy data analytics solutions for complex industry problems with demonstrated skills and knowledge of data analytics tools, methodologies and data science lifecycles.

• Investigate and evaluate the performance of data analytics systems in consideration of the business context and industry best practices and to recommend appropriate solutions.

What skills will you gain?

With a Bachelor of Data Analytics you will gain core skills in:

• Data visualisation
• Data modelling
• Up to date software and programming, including Tableau, Python, R, SQL and NoSQL, MATLAB
• Statistical analysis and strategy
• Data driven decision making
• Leadership and strategy
• Critical thinking and communication.