我们的计算机科学学士以人工智能和机器学习课程为特色，在南澳大利亚其他地方都没有。它由世界一流的研究人员和教师授课，在计算机科学和工程领域排名世界第40位。

你要做什么?

根据你选择的专业，你将:

探索自动驾驶汽车、机器人视觉、机器学习和图像识别

学习如何保护网络、数据和软件系统免受攻击和非法访问

将先进的数据分析技术——如机器和深度学习——应用于大数据集

设计、制作和研究大型分布式软件系统，包括并行、移动和基于云的环境。

专业有:

人工智能

计算机科学

网络安全

数据科学

分布式系统和网络。

你也可以选择一个灵活的程序，从游戏和图形到计算机视觉和软件工程。

Core courses

Students must complete all of the following.

COMP SCI 1102 Object Oriented Programming

COMP SCI 1106 Introduction to Software Engineering

COMP SCI 2000 Computer Systems

COMP SCI 2103 Algorithm Design & Data Structures

COMP SCI 2201 Algorithm & Data Structure Analysis

COMP SCI 2207 Web & Database Computing

COMP SCI 3004 Operating Systems

Choice of approved Mathematics courses

Students must choose one of the following.

MATHS 1004 Mathematics for Data Science I or;

MATHS 1012 Mathematics IB

Choice of approved Professional courses

Students must choose one of the following.

MATHS 3025 Professional Practice III or;

ENTREP 3901 Tech eChallenge

Choice of project

Students must choose one of the following.

COMP SCI 3006 Software Engineering & Project

COMP SCI 3310 Software Engineering & Project (Artificial Intelligence)

COMP SCI 3311 Software Engineering & Project (Data Science)

COMP SCI 3312 Software Engineering & Project (Cybersecurity)

COMP SCI 3313 Software Engineering & Project (Distributed Systems & Networking)

Electives

Students must complete 13 courses from the following.

Level I Electives from any discipline (12 units)

Level II Electives from any discipline (6 units)

Level III Electives from any discipline (3 units)

Level I, II or III Electives from any discipline (9 units)

Level III Computer Science Electives (12 units)

Electives must include broadening electives to the value of 9 units from course areas other than Computer Science, Maths, Pure Mathematics, Applied Mathematics or Statistics.

Computer Science Electives:

COMP SCI 3001 Computer Networks & Applications

COMP SCI 3005 Computer Architecture

COMP SCI 3007 Artificial Intelligence

COMP SCI 3012 Distributed Systems

COMP SCI 3013 Event Driven Computing

COMP SCI 3014 Computer Graphics

COMP SCI 3305 Parallel and Distributed Computing

COMP SCI 3306 Mining Big Data

COMP SCI 3307 Secure Programming

COMP SCI 3308 Cybersecurity Fundamentals

COMP SCI 3309 Cybersecurity A Practical Application

COMP SCI 3314 Introduction to Statistical Machine Learning

COMP SCI 3315 Computer Vision

COMP SCI 3316 Evolutionary Computation

Academic Entry Requirements

More Information

Secondary School Qualifications Selection Rank (International) 70

International Baccalaureate (IB) 24

Hong Kong Diploma of Secondary Education (HKDSE) 17

United Entrance Certificate (UEC) [Malaysia] 25

General Certificate of Education (GCE) Advanced Level 6

Ontario Secondary School Diploma (OSSD) 65%

British Columbia Certificate of Graduation (Canada) 65%

Alberta High School Diploma (Canada) 74

ISC & CBSE [India] 65%

ISBE [India] 75%

SAT (in conjunction with American High School Diploma) 1120

AP (in conjunction with American High School Diploma) 6

Abitur 3.7

Thailand Certificate of Secondary Education 2.2

Bang Tot Nghiep Trung Hoc Pho Thong 7.5

STPM or Matrikulasi 2.67

Kuwait General School Secondary Certificate 70

The University of Adelaide College Foundation Program 70

Eynesbury Foundation Program 339

ANU Foundation Studies 59%

Monash Foundation Year 64

Trinity College Foundation Studies Program 70

UNSW Foundation Year 6.4

University of Sydney Foundation Studies Program 6.5

Western Australian Universities' Foundation Program (WAUFP) 54

University of Queensland Foundation Studies Program 4.0

Non-Go8 Foundation Score 70

SMA3 (in conjunction with National Final Examination Certificate) 80

Gao Kao (China National College Entrance Examination) 60%

KCSE (Kenya Certificate of Secondary Education) B+

Other Qualifications Students who don't meet the academic requirements or who have other qualifications from the South Pacific Islands, Japan, Korea, Philippines or Taiwan may be eligible to apply for a Pre-University Pathway to prepare for or gain entry into the University's undergraduate academic programs. For additional information see Pathway Programs

Prerequisites

Australian Year 12 SACE Stage 2: Mathematical Methods . IB: Mathematics: Applications and Interpretations (HL) or Mathematics: Analysis and Approaches (SL) MathTrackX is an online bridging program available as a recognised alternative to Mathematical Methods.

International Qualifications Mathematics

IELTS: Overall 6.5 Reading 6 Listening 6 Speaking 6 Writing 6

Application deadlines：

Semester 1 - February 2022    :         1 December 2021

Semester 2 - July 2022   :               31 July 2022

Trimester 3 - September 2022   :           11 September 2022

毕业生受到雇主的高度重视，在各种行业和领域都取得了成功。就业机会存在于:

管理、业务数据处理、计算机编程、计算机科学、工程设计、财务软件、游戏编程、图形编程、信息技术管理、互联网商务、网络管理与支持、质量改进、科学数据分析、系统分析、软件工程、系统支持，实时过程控制和用户界面编程。

潜在职业：

电子商务专家，信息和通信技术专家，网络工程师，计算机程序员，软件工程师，软件开发人员，游戏程序员，计算机科学家，计算机系统工程师，仪表工程师，互联网-网络程序员，IT经理，系统分析师