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| Application Deadline: | January 16 | ||
| Annual Tuition Fee: | Free - ≈ € 10,400 (non-EEA) | ||
| Location: | Linköping / Sweden / View location on map ▾ Hide location on map ▴ | ||
| Duration: | 24 months | Start Date: | August |
| Educational Form: |
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| Education Variants: |
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| Credits (ECTS): | 120 | ||
| Languages: | English | ||
Location of Linköping University
There is a rapidly increasing demand for specialists who are able to exploit the new wealth of information in large and complex datasets to improve analysis, prediction and decision making. The programme focuses on modern developments in the intersection of statistics, artificial intelligence and database management, providing the participants with unique competence in the labor market.
With the growth of computer capabilities, the databases are growing larger and becoming more complex, making traditional statistical methods less effective or even unsuitable. Data from economic transactions, individual health records, internet search, and environmental data are just a few examples of the content of enormous databases awaiting thorough examination.
In these data-rich environments, methods from data mining, statistical visualization, computational statistics and other computer-intensive statistical methods included in the programme have become increasingly popular for both governmental agencies and private sector.
Employment and career opportunities
There is a rapidly increasing demand for specialists able to analyze large and complex systems and databases with help of modern computer-intensive methods.
Do you know for example that the Barack Obama’s administration was looking for Data Mining analysts for the elections-2012?
Our master degree opens up the opportunity to obtain high-profile jobs as senior data analysts or other advanced positions in private companies or governmental institutions in, for example, the technological, financial or medical sectors.
Compared to the bachelor degree of the same subject, our master’s degree provides the opportunity to work with the development of methods and search for senior positions or jobs with a more analytical profile.
Students aiming for a scientific career will also find the programme an ideal background for future research. Many of the programme's lecturers are internationally established researchers in the fields of data mining, database methodology and computational statistics.
Contents
Our programme is designed for those students that retain basic knowledge of mathematics, statistics and computer science and have a bachelor degree in one of these areas.
Students who have finished the bachelor programme ”Statistik och dataanalys” at LiU will find our master’s programme to be the natural continuation of their studies where they can learn more about advanced data- (including text-) mining methods, databases, web programming and survey sampling, study Bayesian methods, learning systems in bioinformatics and many other interesting subjects.
The participants will be given an opportunity to learn:
- How to use classification methods to improve a mobile phone's speech recognition software ability to distinguish vowels in a noisy environment.
- How to improve directed marketing by analyzing shopping patterns in supermarkets' scanner databases.
- How to build a spam filter
- How to provide an early signal of a financial crisis by analyzing the frequency of crisis-related words in financial media and internet forums.
- How to estimate the effect that a new legislation on traffic has on the number of deaths.
- How to use a complex DNA micro array dataset to learn about the determinants of cancer.
- How interactive and dynamic graphics can be used to determine the origin of an olive oil.
The courses in Data Mining and Statistical Learning, Data mining: clustering and association analysis, Visualization and Bayesian learning constitute the core of the programme. In addition, each master’s student has the freedom to choose their complementary courses depending on the student’s background and interest. The set of complementary courses includes Computational Statistics, Database Technology, Health Statistics, Optimization, Web programming, a course in Text Mining and other courses covering different data analysis methods and application areas. Students in computer science with limited previous exposure to statistics are invited to a basic preparatory course in statistical theory.
While students are writing their master thesis, we help them to find a private or governmental company where they will be able to apply their knowledge to a real problem and meet people whose main task is advanced data analysis.
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.
More informationRequirements
- A Bachelor's degree (a Swedish kandidatexamen) or equivalent academic qualifications from an internationally recognised university. The university has to be listed in the latest edition of the International Handbook of Universities.
- Proof of skills in English. This is normally attested by means of an internationally recognised test.
- The specific requirements stated for each programme
A bachelor's degree awarded in India, Pakistan, Bangladesh or Nepal must in most cases be of four years or followed by a master's degree to meet the admission requirements.
Applicants who do not hold the required degree are eligible provided that they can prove 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 before the start of the programme must be sent in with the application. The degree certificate has to be presented by 15 October.
Specific requirements
A bachelor’s degree with at least 90 credits, i.e. 18 months of full-time study, in mathematics, applied mathematics, statistics or computer science. The undergraduate courses in mathematics should include both calculus and linear algebra. Undergraduate courses in basic statistics and computer science are also required.
Each applicant must enclose a Letter of Intent written in English, explaining why they want to study this programme, and a summary of their bachelor's essay or project. If applicants hold a degree that does not include a bachelor's essay or project, then their Letter of Intent should describe previous studies and any other academic activities related to the master's programme applied for.
Language tests in English
Applicants must have documented skills in English corresponding to the level of English in Swedish upper secondary education (English B). For applicants who have not studied in Swedish upper secondary education, skills in English are normally attested to by means of an international language test, such as:
- Test of English as a Foreign Language (TOEFL) - Paper-based score of 4.5 (scale 1-6) in the written test with a total score of 575 and Internet-based score of 20 (scale 0-30) in the written test with a total score of 90. NB! TOEFL Examinee Score Records are not accepted. All TOEFL tests must be sent straight from Educational Testing Service (ETS).
- International English Language Testing Service (IELTS) - Academic modules, an overall mark of 6.5 and no section below 5.5
- Cambridge ESOL Certificate of Proficiency in English/CPE or Certificate in Advanced English/CAE.
Additional Requirements
| Minimal degree required: | Bachelor's degree |
| Minimal amount of work experience | Not specified |
Language Proficiency
| IELTS Band: | 6.0 |
| Cambridge English: Advanced (CAE): | Grade C (Score: 60) |
| TOEFL Paper-based: | 575 |
| TOEFL Internet-based: | 90 |
Funding details
- Students who have applied for a master’s programme at Linköping University through the online national application website universityadmissions.se, and who have chosen a programme at Linköping University as their first priority (ranked as No.1 out of 4), and who are required to pay tuition fees. The scholarship is a tuition fee waiver of 50-100 %.
- This scholarship programme is not open for students from the following 12 countries: Bangladesh, Bolivia, Burkina Faso, Cambodia, Ethiopia, Kenya, Mali, Mozambique, Rwanda, Tanzania, Uganda and Zambia. Students from these countries may apply for a Swedish Institute Scholarship.
- To apply for a LiU International Scholarship, you must first apply for the programme(s) you wish to study at Linköping University using the online national application website, universityadmissions.se.
- More details on elegibility, etc and application form for the LiU International Scholarship.
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