WELCOME TO THE COURSE
Welcome to the course Quantitative Research Methods for the Social Sciences at USBE, department of Statistics. Before you can start the course there are things you must do, here you can read what, how and when. You can also read more about the course, the University and life as a student. See you in the spring!
You have been admitted for studies at Umeå University and you do not have to confirm your offer to keep your place.
If you do not want to keep your place you should decline your offer by logging in to 'My pages' on universityadmissions.se, and follow the instructions. You should click "I wish to decline this offer" next to the course you want to decline.
If you see "Reserve" next to your course in the Notification of selection results, this means that you've been placed on a waiting list for that course.
If you are in need of special support due to disability, you should apply for that in good time before you start your studies. Find more information about support for studying with disabilities.
As a new student, you need to activate your user account (your Umu-id) approximately two weeks prior to the start of the semester.
With your user account you can:
If you are a new student, you will automatically receive a user account when you are admitted, but you will need to activate it for it to function properly. You will not be able to activate it until approximately two weeks prior to the start of the semester.
Install MFA for a more secure login
To increase security and reduce the risk of unauthorised access to your information or account, students must enable multi-factor authentication (MFA) to log in to various systems, such as Canvas and the Student Web.
I want to activate my user account and install MFA
If you are an exchange student or tuition fee paying student, you will receive an email with instructions on how to activate your account.
If you are having problems activating your account or logging in, please contact our Servicedesk. You will find answers to common questions, and can submit enquiries.
In this course, you should self-register online in the study documentation system Ladok before the course starts. You can do this from January 13 to January 20.
If you are unable to register during this period, you must notify us in advance, in order to not lose your place on the course.
To be able to sign in and register online, you must first activate your user account (Umu-id).
The course website on Canvas you can find here.
The course starts with an introductory lecture.
Information about course content, teaching structure and examination can be found in the syllabus.
The platform Canvas
For this course, we use the learning platform Canvas. There you will find everything you need for the course, such as the schedule, instructions for exercises, list of participants and messages from the teacher.
To log in to Canvas you must have an active user account (Umu-id).
On Umeå University student website you will find important information and links related to your studies.
If you have general questions about your studies at Umeå University, you can use the contact form at the bottom of this page.
If you have specific questions or concerns relating to the course, you are welcome to contact us at the department of Statistics.
Teacher/ coordinator:
Johan Svensson
Student Counselor:
Maria Karlsson
Study Administrator:
Katarina Kempe
Checklist for admitted students
Follow this simple list of things to complete your enrolment at Umeå University. It includes: how to secure housing, getting a residence permit (for citizens from outside the EU/EEA and Switzerland), tuition payment (if applicable), travel directions and more.
The Student web
The website for current students has all sorts of information about services, support, legal and practical matters at Umeå University. You can sign in to the learning platforms, see your schedule and course overview, get a study certificate, apply for a degree or sign up for an examination.
Recommended arrival times
International students are recommended to arrive at least a few days before the start of the regular semester, preferably prior to the Orientation. If you fail to arrive on time, you have to contact the study counselor as soon as possible, but no later than one week ahead of the course start, or you may not be able to register for the programme or course.
If you will have student housing through the Housing Office at Umeå University you will receive information about your arrival in your offer of housing.
Don't forget - Umeå has cold winters, so pack accordingly with a warm jacket, warm shoes, gloves and hat.
Orientation
Moving to a new country with an unfamiliar language, culture and customs can be a challenge. We would like to help you and ease that challenge so that you can focus on your studies. Therefore, we would like to offer you the possibility to take part in our Orientation, which begins a few days before the start of the semester (Autumn) or the same day as the semester starts (Spring).
Welcome Fair
Are you a new student at Umeå University? Visit the Welcome Fair – a perfect opportunity to learn what our university and Umeå can offer. The fair normally takes place in the beginning of each semester.
Get your UmU card
When you are on Campus Umeå, Umeå Arts Campus or Campus Örnsköldsvik, you will need a UmU card. The card has the following functions:
To get the card, you need to apply for it. Here’s how to apply for the UmU card.
Join a student union
There are three student unions at Umeå University:
They are actively involved so that fellow students have a high quality of education, good working environment, and fun leisure time.
Access to Microsoft Office 365
Students at Umeå University have free access to the programmes of Microsoft Office 365. This means that you have access to Teams, Word, Excel, Powerpoint, Whiteboard Forms, your student email and other services which can facilitate your studies and your collaboration with other students. To access Office 365 you need to activate your UmU-id.
Learn more about Office 365 and how to install it on your computer