If you have questions about course registrations, result registrations, exams, essays or similar you should contact relevant study administrator below. For questions about courses, course structure, your studies and similar you should contact the Department's study adviser. For specific questions regarding ongoing courses you should contact the relevant lecturer.   

Study Administrator, Azra Padjan (Basic and intermediate studies): 
E-mail: Azra [dot] Padjan [at] nek [dot] lu [dot] se (Azra[dot]Padjan[at]nek[dot]lu[dot]se)
Room: EC1:287
Phone: 046-222 8663

• Admission
• Course registration
• Results
• Exams

Study Administrator, Peter Schüller
E-mail: Peter [dot] Sch%C3%BCller [at] nek [dot] lu [dot] se (Peter.Schüller[at]nek[dot]lu[dot]se)
Room: EC1:286
Phone: 046-222 3608

• Essays
• Distance learning courses

Study Administrator and Programme Coordinator, Ulf Persson (Master level studies)
E-mail: Ulf [dot] Persson [at] nek [dot] lu [dot] se (Ulf[dot]Persson[at]nek[dot]lu[dot]se) 
Room: EC1:283
Phone: 046-222 4290

• Admission
• Course registration
• Results
• Exams

Study Adviser, PhD Mårten Wallette
E-mail: Studievagledare [at] nek [dot] lu [dot] se (Studievagledare[at]nek[dot]lu[dot]se)
Room: EC1:289
Phone: 046-222 8675

Assistant study director, PhD Karin Bergman
E-mail: Karin [dot] Bergman [at] nek [dot] lu [dot] se (Karin[dot]Bergman[at]nek[dot]lu[dot]se)
Office: EC1:269
Phone: +46 46 222 4974

Director of Studies, PhD Pontus Hansson
E-mail: Pontus [dot] Hansson [at] nek [dot] lu [dot] se (Pontus[dot]Hansson[at]nek[dot]lu[dot]se)
Room: EC1:288
Phone: 046-222 7914

• Overall responsible for the education, courses, teachers et cetera 

The Department of Economic uses web registration for courses via ladok in the student portal.

Web registration 
Your student account at Lund University is used for logging on to the student portal and to access the Ladok function – where you submit your course registration during the registration period.

Student account at LU

Information on how to submit a course registration

Web registration – conditionally admitted 
If you have a conditionally admission, i.e. if you are admitted to a course but not yet fulfil the stated prerequisites, you cannot submit a web registration. When you try to register a message will appear stating that registration is not possible. If you have a conditionally admission, you must contact the Department of Economics no later than the final registration day – in order to keep you place on the course (given that you fulfil the prerequisites when the course commences). 

If you are planning to take an exam on a course that you have previously been registered on, you must first re-register on that course in order to get access to the relevant Canvas page and the course information. You re-register for a course via ladok in the student portal. 

As a re-registered student you can participate in lectures if there are places available. Please note that it is your own responsibility to check with the lecturer for specific information (if any) for re-registered students.

Student portal at LU

Information about how to re-register

Schedules for courses you are registered on are available via Canvas. Schedules for all the courses at the Department are available via the schedule generator TimeEdit. You enter the course code for the specific course you want to schedule for.

TimeEdit

Literature lists

Literature lists Spring term 2024
Basic course: NEKA61-NEKA64.
Intermediate level courses: NEKGxx-NEKHxx.
Advanced level courses: NEKNxx-NEKPxx

MSc in Finance
MSc in Data Analytics and Business Economics

Literature lists Autumn term 2024
Basic course: NEKA61-NEKA64.
International Economics: SASE31.
Intermediate level courses: NEKGxx-NEKHxx.
Advanced level courses.

MSc in Finance
MSc in Data Analytics and Business Economics

Course curricula
If you are currently registered for courses at the Department of Economics, you can find the course curriculum for a specific course via the course page on Canvas. 

Current and older curricula are also available via Lund University course curricula system. You enter the course code for the curriculum you are looking for.

Search for syllabus

Registration for exams
If you are registered on a course for the very first time, you do not have to sign up for the first exam. In all other cases you must register for the exam.

You sign up for an exam via ladok in the student portal at least one week in advance. 

Examples of previous written exams
On the Canvas course pages you find a link to examples of previous written exams. The database contains exams from the previous two years. Please note, however, that those exams are not part of the course literature and should only be used as examples of written exams. 

Rules concerning written exams
There are a number of rules associated with written exams that you must follow in order to take the exam, see rules and regulations

During the term you can collect your written exam at the Exam Office, which is located in room EC1:237 (on the "mezzanine level" in the Atrium in EC1).

The Exam Office is open Mondays or Tuesdays at 10:30-12:30. On some occasions the exam office is open on other days as well - you will find all occasions in TimeEdit.

For questions, please contact the exam office: examoffice [at] nek [dot] lu [dot] se

Request for change of grade ENG.pdf

Data Support Network

The LUSEM Data Science Network was launched in spring 2023 with the goal to connect LUSEM students who are passionate about data science and to provide support in quantitative applications and software.

We believe in hands-on learning and strive to provide our members with practical, real-world experience. That's why we host a variety of workshops and events focused on different data science skills, from programming to data visualization to machine learning. Whether you're just starting out or looking to refine your skills, there's something for everyone.

In addition to our workshops, we also collaborate on projects that allow our members to apply what they've learned in a meaningful way. These projects are designed to be part of a professional's personal portfolio, showcasing their abilities, and demonstrating the impact they can make. By participating in these projects, members gain valuable experience working with real data and developing solutions to real-world problems.

Canvas Page: Data Analysis and Mathematics – help center
Here students can find a wide range of support material and lectures related to mathematics and data analysis, such as Python tutorials: https://canvas.education.lu.se/courses/23403

Data Science Lab 
The Data Science Lab is located in the LUSEM library, room B:307. Every week, a group of PhD students with expertise in quantitative applications and statistical software, such as Matlab, Python and Stata, gives labs that are open to all students at LUSEM.

We are a group of PhD students at LUSEM eager to assist you in your educational journey!

We have expertise in a broad range of quantitative applications and software, including Mathematics, Statistics, Econometrics, Quantitative Research Methods, Python, R, Excel, Java, Stata, MATLAB, Eviews, and Gretl.

We are available at the Data Science Lab in the LUSEM library room B:307 every Thursday at 14-16 to help you with your questions regarding research design and data analysis, for example for your Bachelors or Masters thesis. Just drop by!

If you have very specific questions, please email us first at supportdatalab [at] nek [dot] lu [dot] se (supportdatalab[at]nek[dot]lu[dot]se). Then we can connect you with a colleague who possesses the skills best suited to your specific needs and arrange a meeting. We look forward to hearing from you!

Lambda Data Society
Lambda is the premier student data science organization at Lund University. The group members are passionate about harnessing the power of data to drive innovation and impact. Therefore, the group collaborates on projects and organizes workshops and events. Lambda is open to all students at LUSEM, and always welcomes new members.

Welcome to Lambda Society, the premier student data science organization at Lund University.

We are a group of motivated individuals who are passionate about harnessing the power of data to drive innovation and impact. Our mission is to foster a community of learners and practitioners, to promote interdisciplinary collaboration, and to provide opportunities for all who are interested to grow their skills and make real-world contributions to the field.

Join us and be a part of this exciting journey!