拉筹伯大学数据科学专业选课指南

拉筹伯大学的数据科学硕士与很多工业及科研人员都有合作关系，学生可以选择生物信息学、大数据、云计算、分析科学作为主修专业，也可以选择商业分析作为辅修学习来拓展商业技能。

拉筹伯大学数据科学专业选课指南

核心课程

Academic Integrity Module

Database Fundamentals

Object-Oriented Programming Fundamentals

Number Systems and Linear Algebra

Probability and Statistics for Data Science

Calculus and Differential Equations

大数据与云计算专业课

Big Data Management on the Cloud

Computational Intelligence for Data Analytics

Data Exploration and Visualisation

Data Mining

Web Development on the Cloud

Analysis of Repeated Measures

meta Analysis

Models for Bioinformatics

Industry Project in Data Science

Industry Placement

Industry Based Learning

Statistics Thesis

Computer Science Thesis

大数据及云计算选修课程

Decision Support Systems

Advanced Databases

Bioinformatics Technologies

Data Warehouse Concepts and Design

Algorithms and Data Structures

Epidemiology and Research Methods

Epidemiology and Demography

Methods in GIS

Health Data Analysis A

Predictive Analysis

Visual Analysis

Customer Analytics and Social Media

Advanced Time-Series Econometrics

生物信息学专业课

Big Data Management on the Cloud

Bioinformatics Technologies

Data Exploration and Visualisation

Data Mining

Bioinformatics

Models for Bioinformatics

Industry Project in Data Science

Industry Placement

Industry Based Learning

Statistics Thesis

Computer Science Thesis

生物信息学选修课

Decision Support Systems

Advanced Databases

Data Warehouse Concepts and Design

Algorithms and Data Structures

Computational Intelligence for Data Analytics

Web Development on the Cloud

Epidemiology and Research Methods

Epidemiology and Demography

Methods in GIS

Health Data Analysis A

Visual Analysis

分析科学专业课

Big Data Management on the Cloud

Data Exploration and Visualisation

Analysis of Repeated Measures

meta Analysis

Models for Bioinformatics

Industry Project in Data Science

Industry Placement

Industry Based Learning

Statistics Thesis

Computer Science Thesis

分析科学选修课

Decision Support Systems

Advanced Databases

Bioinformatics Technologies

Data Warehouse Concepts and Design

Algorithms and Data Structures

Computational Intelligence for Data Analytics

Web Development on the Cloud

Bioinformatics

Epidemiology and Research Methods

Epidemiology and Demography

Methods in GIS

Health Data Analysis A

Predictive Analysis

Visual Analysis

Customer Analytics and Social Media

Advanced Time-Series Econometrics

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