Statistics and Data Mining, MSc

Linköping University, Institute of Technology

Disciplines:

Computer Science & IT

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Quick facts

Country:	Sweden	Duration:	24 Months
City:	Linkoping	Start Date:	September
Educational Form:	Taught	Languages:	English
Education Variants:	Full Time
Application Deadline:	January 15
Annual Tuition Fee:	Free

Programme Description

The fast development of databases has lead to great opportunities for both industry and research. The programme in Statistics and Data Mining unites statistics and computer sciences and focuses on both the ability to find patterns and trends but also on retrieving information and knowledge from vast and complex data.

This programme - on the interface between statistics and computer science - will help students discover patterns and trends in large and complex datasets, and turn data into information and knowledge.

The compulsory courses include data mining and statistical learning, machine learning and knowledge discovery, survey sampling, visualisation and philosophy of science. Some of the courses are designed for professionals, while others are tailored for students aspiring to a research career in statistics and computer science.

Curriculum: Courses in statistics, computer science and mathematics are joined into a unique programme on the interface between statistics and computer science. The obligatory courses include: Statistics for learning and discovery, Machine learning and data mining, Survey sampling, Visualization and Philosophy of Science. A selection of advanced courses in statistics or computer science enables degrees with either of these disciplines as the major field. Some of these courses are designed primarily for professional work with data, while others are tailored for students aspiring to a research career.

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Teaching modesOrdinary courses have lectures, seminars, and computer exercises. The lectures are devoted to presentations of theories, concepts, and methods. The seminars comprise presentations and discussions of assignments. The computer exercises provide practical experience of data analysis and other methods taught in the programme. The Courses that are named projects have supervision only.

Examination

Ordinary courses yielding a minimum of 4.5 credits have one or more assignments and one written examination. Project courses and the master's thesis are examined through a written report and oral defence of that report.

GradesStudents are awarded grades according to the ECTS (European Credit Transfer System) grading scale A-FF.

Transfer of creditsThe Board of Undergraduate Education or person nominated by the Board decides whether or not previous education can be transferred into the programme.

You are normally required to take an English Proficiency Test if you come from a non-English speaking country.

Most European Universities recognise the IELTS test.

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Requirements

Minimum admission requirements for master's programmes taught in English include a degree from an internationally recognised university equivalent to a Bachelor's degree at a British university. The university has to be listed in the latest edition of the International Handbook of Universities/World List of Universities or Other Institutions of Higher Education*.

* European students within the EU/EES who do not hold such a degree are eligible provided they can show that they are registered for the last semester of a programme leading to such a degree. An official document stating that they are likely to be awarded the degree by the start of the programme must be sent in with the application.

Language requirements

Applicants to master's programmes taught in English must also prove that they have a very good command of English, both written and oral. This is normally attested by means of an international language test:
o Test of English as a Foreign Language (TOEFL), minimum score of 550 on the paper-based test, 213 on the computer-based test and 79-80 on the internet-based test.
o International English Language Testing Service (IELTS), minimum score of 6,0, no band lower than 5,0
o Cambridge ESOL Certificate of Proficiency in English/CPE or Certificate in Advanced English/CAE.

Students with previous studies at a university with English as the only language of instruction, according to the latest edition of International Handbook of Universities/ World List of Universities and Other Institutions of Higher Education, do not have to take any language test.

Selection

As the number of places on each programme is limited there is a selection procedure based on academic qualifications.

Official documentation

Please note that applications not supported by officially certified documents will not be processed. The documents must be stamped and signed by the issuing institution or a notary public, in the original language and in officially certified translations into Swedish, English, French or German, if the documents are issued in any other language. Linköping University checks the authenticity of documents with the issuing institution.

Specific requirements

Students entering the programme should have a total of at least 90 ECTS credits (1.5 years of full-time studies) in mathematics, applied mathematics, statistics and computer science. The undergraduate courses in mathematics should include both calculus and linear algebra. Basic undergraduate courses in statistics and computer science are also required.