Bachelor of Information Technology (Big Data and Analytics) 36 months Undergraduate Programme By Federation University Australia |TopUniversities

Bachelor of Information Technology (Big Data and Analytics)

Programme Duration

36 monthsProgramme duration

Main Subject Area

Computer Science and Information SystemsMain Subject Area

Programme overview

Main Subject

Computer Science and Information Systems

Degree

Other

Study Level

Undergraduate

This course specializes in collection and management of huge volumes of data. Big data serves important purpose in not only business, but also health, education, and government, to make informed decisions. Through this course, students will study areas such as information and data analysis, allowing them to discover and quantify patterns using statistics, statistical inference, regression analysis, and machine learning. Students will be introduced to the appropriate methods and tools that are applied to retrieve, transform, organize, visualise, and analyse data. Students will develop technical knowledge in a range of topics including statistics, statistical inference, high performance computing, and visualization. This course includes final year projects which allow students to put their learning into practice as they analyse large data sets. This degree is professionally accredited by the Australian Computer Society (ACS).

Programme overview

Main Subject

Computer Science and Information Systems

Degree

Other

Study Level

Undergraduate

This course specializes in collection and management of huge volumes of data. Big data serves important purpose in not only business, but also health, education, and government, to make informed decisions. Through this course, students will study areas such as information and data analysis, allowing them to discover and quantify patterns using statistics, statistical inference, regression analysis, and machine learning. Students will be introduced to the appropriate methods and tools that are applied to retrieve, transform, organize, visualise, and analyse data. Students will develop technical knowledge in a range of topics including statistics, statistical inference, high performance computing, and visualization. This course includes final year projects which allow students to put their learning into practice as they analyse large data sets. This degree is professionally accredited by the Australian Computer Society (ACS).

Admission Requirements

60+
6+
169+
50+
24+
50+

Scholarships

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