Bachelor of Information Technology (BInfoTech)
Bachelor of Information Technology (BInfoTech)
Program Code
BIT
Program Faculty
Faculty of Sciences, Engineering and Technology
Academic Year
2022
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 requirements with a combined total of not less than 72 units, comprising:
- Core courses to the value of 45 units (including 18 units of elective courses);
- One major to the value of 27 units chosen from the following:
- 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 Applied Programming 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 3 units from the following:
Subject/Catalogue Course Title Unit Value ENG 3004 Systems Engineering and Industry Practice 3 ENTREP 3901 Tech eChallenge 3 MATHS 3025 Professional Practice III 3 and
Elective courses to the value of 18 units from the following:
Level I electives from any discipline (6 units)
Level II electives from any discipline (3 units)
Level III electives from any discipline (3 units)
Level I, II or III electives from any discipline (6 units)
Major
-
Cybersecurity Major
All of the following courses must be completed:
Subject/Catalogue Course Title Unit Value COMP SCI 2000 Computer Systems 3 COMP SCI 2207 Web & Database Computing 3 COMP SCI 3001 Computer Networks & Applications 3 COMP SCI 3004 Operating Systems 3 COMP SCI 3021 Industry Project in Information Technology 6 COMP SCI 3307 Secure Programming 3 COMP SCI 3308 Cybersecurity Fundamentals 3 TECH 1005 Cyber Security 3 -
Artificial Intelligence/Machine Learning Major
All of the following courses must be completed:
Subject/Catalogue Course Title Unit Value COMP SCI 2000 Computer Systems 3 COMP SCI 2207 Web & Database Computing 3 COMP SCI 3007 Artificial Intelligence 3 COMP SCI 3021 Industry Project in Information Technology 6 COMP SCI 3317 Using Machine Learning Tools 3 TECH 1006 Engineering Mechanics Technology 3 and
Courses to the value of 6 units 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