Bachelor of Applied Data Analytics

Program Overview

The Bachelor of Applied Data Analytics equips students with advanced data analysis, statistical inference, and decision-making skills. Specializing in areas like agriculture, economics, or public health, graduates are prepared for roles in government, consultancies, or corporations, where they can leverage data to drive organizational strategies and identify opportunities for growth.

Program Outline

Degree Overview:

For decision-makers, data is gold. But only if it can be interpreted accurately. All around the world, in every industry, employers are seeking true data analysts—professionals with not only statistical expertise but the ability to ‘see’ new solutions in oceans of numbers. Our new Bachelor of Applied Data Analytics will help you step into this critical role in one of seven specialist areas: agriculture, economics, environment, geosciences, physics, bioinformatics, or public health. The degree is unique in Australia in combining big-data analytics training with decision science. In addition to acquiring a firm grounding in data handling and management, you’ll gain high-level skills in:

• Advanced data analysis
• Statistical inference, including using machine learning
• Developing new models of complex problems
• Quantitative decision-making
• Applying data analysis to develop organizational strategies for sustainable success.
You’ll also undertake a significant research project in your final year. You’ll be well equipped to help organizations in your chosen area of specialization identify opportunities for improvement and growth. You could work in government, consultancies, or large corporations at home or abroad. Or perhaps you’ll apply your knowledge to drive decision-making in a venture of your own.

Outline:

The program is structured to provide students with a strong foundation in data analytics and decision science. Students will take courses in mathematics, statistics, computer science, economics, and business. They will also have the opportunity to specialize in one of seven areas: agriculture, economics, environment, geosciences, physics, bioinformatics, or public health. Each specialization will have its unique set of course requirements, and some specializations may require students to take additional courses outside of the program. The program’s core courses are designed to provide students with the knowledge and skills necessary to succeed in data analytics roles. These courses cover topics such as data collection, data management, data analysis, and statistical modeling. Students will also gain experience using a variety of software tools, including R, Python, and SAS. In addition to the core courses, students will take courses in their chosen specialization. These courses will provide students with in-depth knowledge of the data analytics methods and techniques used in their chosen field. The program culminates in a capstone project in which students will apply the skills they have learned to a real-world problem.

Assessment:

Assessments will be varied from course to course, the program also includes a capstone project within the third year.

Teaching:

The program is taught by a team of experienced faculty members who are actively involved in research in data analytics. Faculty members use a variety of teaching methods, including lectures, tutorials, and labs. The program also features a strong emphasis on hands-on learning, and students will have the opportunity to work on real-world data projects.

Careers:

Graduates of this program have gone on to roles such as:

• Bioinformatician;
• Business Data Analyst;
• Data Analyst;
• Scientific Data Analyst;
• Agricultural Scientist;
• Physicist;
• Public Health Scientist;
• Econometrician;
• Environmental Scientist;
• Financial Analyst