Bachelor of Information Technology (BInfoTech)
Bachelor of Information Technology (BInfoTech)
Program Code
BIT
Program Faculty
Faculty of Sciences, Engineering and Technology
Academic Year
2020
These Program Rules should be read in conjunction with the University's policies (https://www.adelaide.edu.au/policies).
Overview
The Bachelor of Information Technology will provide graduates with a foundation in the application of computer-based technologies and systems to meet individual and organisational information needs. The program will enable students to gain the knowledge and skills needed to use IT effectively and to use, develop and manage IT-based systems. IT is an area of continual growth as it drives innovation and assists us to solve problems in areas such as medical research, the environment, and business.
In this program, students will undertake core courses that will provide a solid foundation in IT, network, database, programming fundamentals, systems analysis, professional skills and project management. Students will then tailor their studies by choosing from a variety of elective courses as well as a major. A significant capstone project combines skills developed across the program.
The Bachelor of Information Technology is an AQF Level 7 qualification with a standard full-time duration of 3 years.
Conditions
Condition of Enrolment
Interruption of program: Students must apply for permission from the Faculty before taking a Leave of Absence. Any extension of the leave without approval will result in the loss of place in the program but an application may be made to be re-admitted to the program subject to the admission procedures in place at the time.
Academic Program Rules for Bachelor of Information Technology
There shall be a Bachelor of Information Technology.
Qualification Requirements
To qualify for the degree of Bachelor of Information Technology, the student must complete satisfactorily a program of study consisting of the following courses with a combined total of not less than 72 units, comprising:
Core courses to the value of 27 units
Elective courses to the value of 21 units
At least one major to the value of at least 24 units
Majors may be chosen from:
Cybersecurity
Artificial Intelligence/Machine Learning
Core Courses
-
Bachelor of Information Technology
Core
All of the following courses must be completed:
Subject/Catalogue Course Title Unit Value COMP SCI 1013 Introduction to Computer Systems, Networks and Security 3 COMP SCI 1014 Information Technology Project 3 COMP SCI 1015 Introduction to Programming for Information Technology Specialists 3 COMP SCI 2009 Programming for IT Specialists 3 COMP SCI 2208 Databases and Ethical Data 3 ENTREP 1020 Design Thinking: Problems to Practice 3 ENTREP 2003 Driving Decisions: Accounting and Finance 3 PROJMGNT 1001 Foundations of Project Management 3 and
Courses to the value of up to 3 units may be taken from the following:
Subject/Catalogue Course Title Unit Value ENG 3004 Interdisciplinary Professional Practice 3 ENTREP 3901 Tech eChallenge 3 MATHS 3025 Professional Practice III 3 and
Elective courses to the value of 21 units chosen from any undergraduate courses offered by the University that are available to the student.
Major
-
Cybersecurity Major
To satisfy the requirements for Cybersecurity Major students must complete courses to the value of 24 units.
Cybersecurity
All of the following courses must be completed:
Subject/Catalogue Course Title Unit Value COMP SCI 2000 Computer Systems 3 COMP SCI 2201 Algorithm & Data Structure Analysis 3 COMP SCI 3001 Computer Networks & Applications 3 COMP SCI 3004 Operating Systems 3 COMP SCI 3307 Secure Programming 3 COMP SCI 3308 Cybersecurity Fundamentals 3 COMP SCI 3021 Industry Project in Information Technology 6 -
Artificial Intelligence/Machine Learning Major
To satisfy the requirements for Artificial Intelligence/Machine Learning Major students must complete courses to the value of 24 units.
Artificial Intelligence/Machine Learning
All of the following courses must be completed:
Subject/Catalogue Course Title Unit Value COMP SCI 2000 Computer Systems 3 COMP SCI 2201 Algorithm & Data Structure Analysis 3 COMP SCI 3007 Artificial Intelligence 3 COMP SCI 3021 Industry Project in Information Technology 6 COMP SCI 3317 Using Machine Learning Tools 3 and
Courses to the value of up to 6 units may be taken from the following:
Subject/Catalogue Course Title Unit Value COMP SCI 3314 Introduction to Statistical Machine Learning 3 COMP SCI 3315 Computer Vision 3 COMP SCI 3316 Evolutionary Computation 3