Master of Science in Artificial Intelligence
所属信息
基本信息
项目时长
1.5年学费估算
330,000（总学费）申请截止日期
-
秋季
-
常规
3.15
-
其他
申请信息
IELTS要求
6.00 L:5.50 R:5.50 S:5.50
W:5.50
工作经验要求
官网没有明确说明
Prerequisite
持有本大学的荣誉学士学位，或本大学或其他大学或类似机构的同等标准的资格。
具备线性代数、微积分、概率论、统计学入门和计算机编程方面的知识hold a Bachelor's degree with Honours of this University, or another qualification of equivalent standard from this University or another University or comparable institution acceptable for this purpose;
possess knowledge of linear algebra, calculus, probability theory, introductory statistics and computer programming
具备线性代数、微积分、概率论、统计学入门和计算机编程方面的知识hold a Bachelor's degree with Honours of this University, or another qualification of equivalent standard from this University or another University or comparable institution acceptable for this purpose;
possess knowledge of linear algebra, calculus, probability theory, introductory statistics and computer programming
适宜学生
数学系、统计与精算系和计算机科学系联合提供为期一个半学年的全日制研究生课程，授予人工智能科学硕士学位。该课程旨在为毕业生提供人工智能原理和实践方面的培训。候选人应具备线性代数、微积分、概率论、统计学入门和计算机编程等方面的知识。
特点
1 - 人工智能基础 - Foundations of artificial intelligence
2 - 人工智能中的优化 - Optimization in artificial intelligence
3 - 人工智能中的数值方法 - Numerical methods in artificial intelligence
4 - 人工智能中的统计 - Statistics in artificial intelligence
5 - 应用数据挖掘和文本分析 - Applied data mining and text analytics
6 - 计算智能与机器学习 - Computational intelligence and machine learning
7 - 深度学习 - Deep learning
8 - 高级数值分析专题 - Topics in advanced numerical analysis
9 - 人工智能与机器学习专题 - Topics in artificial intelligence and machine learning
10 - 高级概率论专题 - Topics in advanced probability theory
11 - 应用离散数学专题 - Topics in applied discrete mathematics
12 - 高级优化专题 - Topics in advanced optimization
13 - 计算统计和贝叶斯学习 - Computational statistics and Bayesian learning
14 - 数据科学编程 - Programming for data science
15 - 量化策略和算法交易 - Quantitative strategies and algorithmic trading
16 - 大数据分析 - Big data analytics
17 - 无人驾驶系统介绍 - Introduction to unmanned systems
18 - 量子计算与人工智能 - Quantum computing and artificial intelligence
19 - 交易和金融中的机器学习 - Machine learning in trading and finance
20 - 图像处理和计算机视觉 - Image processing and computer vision
21 - 人工智能和数据科学中的法律问题 - Legal issues in artificial intelligence and data science
22 - 人工智能项目 - Artificial intelligence project
2 - 人工智能中的优化 - Optimization in artificial intelligence
3 - 人工智能中的数值方法 - Numerical methods in artificial intelligence
4 - 人工智能中的统计 - Statistics in artificial intelligence
5 - 应用数据挖掘和文本分析 - Applied data mining and text analytics
6 - 计算智能与机器学习 - Computational intelligence and machine learning
7 - 深度学习 - Deep learning
8 - 高级数值分析专题 - Topics in advanced numerical analysis
9 - 人工智能与机器学习专题 - Topics in artificial intelligence and machine learning
10 - 高级概率论专题 - Topics in advanced probability theory
11 - 应用离散数学专题 - Topics in applied discrete mathematics
12 - 高级优化专题 - Topics in advanced optimization
13 - 计算统计和贝叶斯学习 - Computational statistics and Bayesian learning
14 - 数据科学编程 - Programming for data science
15 - 量化策略和算法交易 - Quantitative strategies and algorithmic trading
16 - 大数据分析 - Big data analytics
17 - 无人驾驶系统介绍 - Introduction to unmanned systems
18 - 量子计算与人工智能 - Quantum computing and artificial intelligence
19 - 交易和金融中的机器学习 - Machine learning in trading and finance
20 - 图像处理和计算机视觉 - Image processing and computer vision
21 - 人工智能和数据科学中的法律问题 - Legal issues in artificial intelligence and data science
22 - 人工智能项目 - Artificial intelligence project
