专业名称：电子信息工程（中外合作办学）
专业代码：080701H
对应英方专业：计算机科学（人工智能）/Computer Science (Artificial Intelligence)

培养目标

本专业面向智能汽车、机器人等前沿产业发展需求，整合广西科技大学与爱丁堡龙比亚大学两校优质教育资源，致力于培养具有国际视野、扎实专业基础和卓越实践创新能力的人工智能领域高素质人才。选择本专业，即站上未来科技发展的核心赛道。

学科方向与国际平台

爱丁堡龙比亚大学地处英国科技创新重镇——爱丁堡，其计算机科学（人工智能）专业聚焦人工智能、数据科学、智能软件、机器人与自主系统等前沿方向，为学生提供高水平、国际化、实践导向鲜明的培养平台。

学术实力与科研支撑

本专业依托爱丁堡龙比亚大学在计算机科学领域的雄厚学术实力与科研优势。在英国2021年研究卓越框架（REF 2021）评估中，该校计算机科学学科的研究实力位列苏格兰第3、全英前30，且研究影响力成果100%获得最高等级4*评价。英方授课教师科研实力位列世界前2%。

核心课程

课程体系系统涵盖以下核心内容（标注*者为外方授课课程）：

程序设计基础

电路分析基础

模拟电子技术

数字电路与逻辑设计

程序设计原理

面向对象软件开发

算法与数据结构*

数据分析*

软件工程方法*

人工智能*

高级网络技术*

交互式数据可视化*

高级机器学习*

人工智能优化*

学制与学位

学制：四年

中方学位：工学学士学位

外方学位：计算机科学（人工智能）理学荣誉学士学位

教学条件与科研平台

联合学院为学生提供优质的教学与科研环境。学生可对接爱丁堡龙比亚大学人工智能与机器人研究中心（CAIR）的资源，依托先进的实验设施与科研环境，了解人工智能、机器人及智能系统的最新发展，拓展国际化学术视野与职业竞争力。

师资力量

本专业由两校联合授课。英方教师团队科研实力位居世界前2%，中方选派骨干教师及学术带头人共同参与教学，实现国际前沿理论与本土产业实践的深度融合。

就业与深造前景

根据爱丁堡龙比亚大学公布数据，该校本科毕业生就业或继续深造比例高达95%。毕业生可在人工智能应用开发、软件工程、数据分析、智能系统设计等领域广泛就业，也可继续攻读硕士、博士学位，从事更深入的学术研究或专业工作。

 

Programme Aims

This programme is designed to meet the development needs of frontier industries such as intelligent vehicles and robotics. By integrating the high-quality educational resources of GXUST and Edinburgh Napier, it aims to cultivate high-calibre talents in the field of AI with a global perspective, a solid professional foundation, and outstanding practical innovation capabilities. Choosing this programme means positioning yourself at the heart of future technological development.

Academic Direction and International Platform

Located in Edinburgh, a leading hub of technological innovation in the UK, Edinburgh Napier University offers a Computer Science (AI) programme that focuses on cutting-edge areas including AI, data science, intelligent software, robotics and autonomous systems. It provides students with a high-level, international, practice-oriented learning platform.

Academic Strength and Research Support

This programme draws on the strong academic strength and research advantages of Edinburgh Napier University in Computer Science. In the UK's Research Excellence Framework (REF 2021), the University's Computer Science discipline was ranked 3rd in Scotland and within the top 30 in the UK, with 100% of its research impact rated at the highest 4* level. Edinburgh Napier teaching staff are among the world's top 2% of researchers.

Core Curriculum

The curriculum systematically covers the following core areas (those marked with * are taught by ENU faculty):

Fundamentals of Programming

Introductory Circuits for Electrical and Computer Engineering

Analog Electronic Technology

Digital Circuits and Logic Design

Principles of Programming Languages

Object-Oriented Software Development

Algorithms & Data Structures*

Data Analytics*

Software Engineering Methods*

Artificial Intelligence*

Advanced Web Technologies*

Interactive Data Visualisation*

Advanced Machine Learning*

AI for Optimisation*

Duration and Degrees

Duration: 4 years

GXUST Degree: Bachelor of Engineering

ENU Degree: Bachelor of Science with Honours in Computer Science (Artificial Intelligence)

Teaching Facilities and Research Platform

Students have access to the resources of Edinburgh Napier University's Centre for Artificial Intelligence and Robotics (CAIR). With state-of-the-art laboratory facilities and a world-class research environment, students can keep abreast of the latest developments in AI, robotics and intelligent systems, enhancing their international academic perspective and professional competitiveness.

Teaching Faculty

The programme is delivered jointly by faculty from both universities. Edinburgh Napier teaching staff are among the world's top 2% of researchers, while GXUST selects leading academics to participate in teaching, ensuring a deep integration of international frontier theories and local industrial practice.

Career and Further Study Prospects

According to data published by Edinburgh Napier University, 95% of its undergraduate graduates are employed or pursue further study. Graduates of this programme can find employment in areas such as AI application development, software engineering, data analytics and intelligent system design. They may also choose to pursue master's or doctoral degrees for more advanced academic research or professional work.