Data-Intensive Analysis MScUniversity of St Andrews
Data-Intensive Analysis MSc
The MSc in Data-Intensive Analysis is an interdisciplinary course providing students with an understanding of how data is used to gain useful insights in all areas of scientific endeavour. The program has a substantive statistical component – both theory and practice – allied to computational data science and visualisation.
The MSc in Data-Intensive Analysis is a one-year taught program run collaboratively by the Schools of Mathematics and Statistics and Computer Science. The course consists of two semesters of taught modules followed by an 11-week project leading to the submission of a 15,000-word dissertation in August.
A part time version of this program is also available.
- A good 2.1 Honours undergraduate degree, plus evidence of some previous programming experience.
- English language proficiency.
The qualifications listed are indicative minimum requirements for entry. Some academic Schools will ask applicants to achieve significantly higher marks than the minimum. Obtaining the listed entry requirements will not guarantee you a place, as the University considers all aspects of every application including, where applicable, the writing sample, personal statement, and supporting documents.
For more information about admission requirements, please visit the university website.
Does this course require proof of English proficiency?
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Students take four compulsory modules.
- Introductory Data Analysis
- Advanced Data Analysis
- Knowledge Discovery and Datamining
- Applied Statistical Modelling using GLMs
Students choose four of the following optional modules.
- Computing in Statistics
- Software for Data Analysis
- Data-Intensive Systems
- Information Visualisation and Visual Analytics
- Masters Programming Projects
- Object-Orientated Modelling, Design and Programming
- Programming Principles and Practice
Scholarships & funding
Several scholarship options are available. Please check the university website for more information.
Teaching methods include
- practical classes
Many graduates continue their education by enrolling in PhD programs at St Andrews. The School of Computer Science is highly rated for its theoretical and practical research in areas such as AI, symbolic computation, networking, computer communication systems, human-computer interaction, and systems engineering, and offers research opportunities leading to a PhD in Computer Science.
Alumni of Computer Science MSc programs have gone on to work in a variety of global, commercial, financial and research institutions, including:
- American Express
- Barclays Capital
- Capricorn Ventis
- Hewlett Packard
- Hitachi Data Systems
- Royal Bank of Scotland, Tesco Bank, Lloyds
About this institute
University of St Andrews
The University of St Andrews is Scotland’s first University. As a 600 year-old institution, we are known across the globe for our world leading quality and depth of research. For six centuries some of the world’s brightest and most promising...
Why study at University of St Andrews
The University of St Andrews is situated in a truly beautiful location. Part of a seaside town it is a picturesque and inspirational location to pursue your studies, where you will have the thinking space needed to be your very best. As a smaller university our size is one of our greatest strengths with class sizes allowing for a close and individual learning experience and giving great access and support from your teachers.
Graduates of St Andrews are highly sought after by employers around the world due to our reputation for excellence. A qualification from St Andrews will help you reach your ambitions and kickstart your career.
Consistently ranked as the best student academic experience in the UK by students in the National Student Survey, your time as a student in St Andrews will be unique and rewarding, leaving you with a prestigious qualification, but also memories and connections to treasure for years to come.
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8,500 EUR-12,500 EUR