University of Warwick - Data Analytics(워릭대 데이터분석학 석사)

 

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Course code : full-time

Start date : 26 September 2022

Duration : 1 year full-time

Qualification : MSc

Led by : Computer Science

Course overview

This course is designed for technically-minded graduates with a background in computer science, mathematics or the physical sciences.

It provides a distinctive perspective on data analytics that combines aspects of computer science, business, engineering and mathematics. Alongside the technical skills and expertise the course develops, this means that our graduates can pursue opportunities at the forefront of an emerging discipline that will continue to revolutionise science and industry for years to come.

 

General entry requirements

Minimum requirements

First Class Honours degree or a high 2:i undergraduate degree. The degree must be in Computer Science, Mathematics, Statistics, Physics, or another relevant quantitatively-focused degree.

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English language requirements

• IELTS overall score of 6.5, minimum component scores not below 6.0.

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Core modules(필수과목)

Dissertation Project in Data Analytics

The dissertation is intended to give you the opportunity to consolidate the knowledge that you have acquired during the first half of the MSc, and to undertake a research led project. You will be expected to carry out a significant development exercise, either in the form of a research project or a knowledge transfer project that is applying recent research and the advanced topics taught in the first half of the course.

Research Methods

The module aims to facilitate the acquisition of a range of research methods, ensure that you are aware of the legal framework within which research is conducted, and that you are sensitive to the social and ethical issues which affect Computer Science/Data Analytics research.

Foundations of Data Analytics

You will study techniques for how to go from raw data to a deeper understanding of the patterns and structures within the data, to support making predictions and decision making.

Foundations of Computing

The aim of the module is to equip you with a grounding in foundations of computing and to enable you to confidently undertake a taught masters programme in advanced computing topics.

Data Mining

The module will focus on foundational concepts underlying data mining and it will introduce you to algorithms commonly used in data mining tools. You will also explore application of these tools to real-world problems.

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Optional modules(선택과목)

Optional modules can vary from year to year. Example optional modules may include:

• High Performance Computing
• Algorithmic Game Theory
• Image and Video Analysis
• Agent Based Systems
• Sensor Networks and Mobile Data Communications
• Advanced Computer Security
• Social Informatics
• Natural Language Processing

 

MSc Data Analytics

Full Time

Overseas

£ 29,950