Statistics: Machine Learning from a Regression Perspective
Course · 7.5 credits
With rapid advances in information technology, we have witnessed an explosive growth in our capabilities to generate and collect data in the last decades. How to analyse huge bodies of data so that they can be understood and used efficiently remains a challenging problem.
Machine learning refers to statistical model predictions that that improve through experience; as new data arrive, the model learns and adapts. The price that the supermarket can charge for advertisements depends critically on its ability to learn from the data which customers that are likely prospects for a particular supplier’s product. Similarly, the price that Google can charge for space for sponsored links is directly tied to their ability to correctly identify people likely to follow the link. That is where machine learning comes in.
This course teaches you the basics of machine learning and it does so by focusing on those methods that build in one way or another on standard regression analysis. Some of the topics covered are classification based on logistic regression, model selection using information criteria and cross-validation,shrinkage methods such as lasso, ridge regression and elastic nets, dimension reduction methods such as principal components regression and partial least squares,and neural networks. You will find that theoretical studies are interwoven with empirical applications to problems in business and economics, which you will carry out using the R software.
After the Course
When you have completed the course, you will learnt the basics of machine learning. If you want to learn more advanced techniques, you are can take STAN52 Advanced Machine Learning.
More information can be found at https://stat.lu.se/en/education/courses/
Closed for applicationsApplication opportunities
Department of Statistics
Tycho Brahes väg 1, 223 63 Lund
Box 7080, 220 07 Lund
+46 46 222 89 21
+46 46 222 89 06
pierre [dot] carbonnier [at] stat [dot] lu [dot] se
Requirements and selection
90 credits in Statistics with at least 7.5 credits in Regression Analysis or Econometrics, or the equivalent.
Seats are allocated according to: Previous college/university studies (APAV): 100 %.
English language requirements
Most of Lund University’s programmes require English Level 6 (unless otherwise stated under 'Entry requirements'). This is the equivalent of an overall IELTS score of 6.5 or a TOEFL score of 90. There are several ways to prove your English language proficiency – check which proof is accepted at the University Admissions in Sweden website. All students must prove they meet English language requirements by the deadline, in order to be considered for admission.
Check if there are any country-specific eligibility rules for you to study Master's studies or Bachelor's studies in Sweden.
How to apply
Lund University uses a national application system run by University Admissions in Sweden. It is only possible to apply during the application periods.
Step 1: Apply online
- Check that you meet the entry requirements of the programme or course you are interested in (refer to the section above on this webpage).
- Start your application – go to the University Admissions in Sweden website where you create an account and select programmes/courses during the application period.
Visit the University Admissions in Sweden website
- Rank your programme/course choices in order of preference and submit them before the application deadline.
Step 2: Submit documents
- Read about how to document your eligibility and how to submit your documents at the University Admissions in Sweden website. Follow any country-specific document rules for Master's studies or Bachelor's studies
Country-specific requirements for Bachelor's studies – universityadmissions.se
Country-specific requirements for Master's studies – universityadmissions.se
- Get all your documents ready:
- official transcripts and high school diploma (Bachelor's applicants)
- official transcripts and degree certificate or proof of expected graduation (Master's applicants)
- passport/ID (all applicants) and
- proof of English proficiency (all applicants).
- Prepare programme-specific documents if stated in the next paragraph on this webpage.
- Upload or send all required documents to University Admissions before the document deadline.
- Pay the application fee (if applicable – refer to the section below on this webpage) before the document deadline.
* Note that the process is different if you are applying as an exchange student or as a part of a cooperation programme (such as Erasmus+).
* If you have studied your entire Bachelor's programme in Sweden and all of your academic credits are in Ladok, you do not have to submit transcripts or your diploma when applying for a Master's programme. However, there may still be other documents you need to submit! See the link below.
* Svensk student?
Läs instruktionerna om att söka till ett internationellt masterprogram på lu.se
Full programme/course tuition fee: SEK 15 000
First payment: SEK 15 000
Citizens of a country outside of the European Union (EU), the European Economic Area (EEA) and Switzerland are required to pay tuition fees. You pay one instalment of the tuition fee in advance of each semester.
EU/EEA citizens and Switzerland
There are no tuition fees for citizens of the European Union (EU), the European Economic Area (EEA) and Switzerland.
If you are required to pay tuition fees, you are generally also required to pay an application fee of SEK 900 (approximately EUR 100) when you apply at the University Admissions in Sweden website. You pay one application fee regardless of how many programmes or courses you apply to.
*Note that there are no tuition or application fees for exchange students or PhD students, regardless of their nationality.
Scholarships & funding
Lund University Global Scholarship programme
The Lund University Global Scholarship programme is a merit-based and selective scholarship targeted at top academic students from countries outside the EU/EEA.
Swedish Institute Scholarships
The Swedish Institute offers scholarships to international students applying for studies in Sweden at Bachelor's, Master's, PhD and post-doctoral levels.
Country-specific scholarships and funding options
Lund University has agreements with scholarship organisations and funding bodies in different countries, which may allow applicants to apply for funding or scholarships in their home countries for their studies at Lund University.
- Scholarships/funding for students from Indonesia, Mexico, Colombia, Russia and Chile, among other countries
- US student finance
- Canada student finance