A Programme for Fast-Paced Data Management
The sheer amount of data that is being produced each and every day is redefining our world: according to IBM, 90 percent of all current data has been created in the last two years alone. The collection and evaluation of this data can transform behaviours, business models, markets and every imaginable organisational structure. The Business Intelligence Programme at Dalarna University prepares you to be at the centre of this transformation working within private companies, public organisations and research institutions.
Our programme provides you with both hands-on training in the collection and interpretation of data as well as broad knowledge and an understanding of how data analysis is used for decision-making within organisations. You will gain a unique cross-disciplinary skill-set that will prepare you for jobs both in the present day and in the future.
Should you apply?
If you want to have an impact on data-driven decisions that affect the daily operations of companies and organisations, then you will find your calling in our Business Intelligence Programme. If you have previously received a degree in Statistics, Economics, Business, Computer Information Systems or IT from an internationally recognised university and if you have documented knowledge of English proficiency, then you are strongly encouraged to apply to our Business Intelligence Programme.
How To Apply
Applying to the Business Intelligence Programme is quick and easy. Just complete these two steps:
- Click on the blue "Apply" button (displayed above during the application period only) to create a user account and add the programme to your account in the online application portal.
- Submit the required documents to verify that you fulfill the entry requirements listed below. You can usually upload the required documents to your user account.
Entry Requirements (Academic Year 2018/2019)
Specific Entry Requirements
- Completed bachelor's degree comprising at least 180 credits (60 credits = 1 academic year full-time study), or an equivalent degree or currently completing the final year of studies leading to such a degree.
- The applicant's education must also include at least three of the following courses (or equivalent knowledge):
- Calculus for Advanced Statistics
- Introduction to Object Oriented Programming
- Data Analysis and Statistics
- Database Management
English Language Proficiency
The most common tests and important scores that are accepted are:
- IELTS (academic training), 6.5 (with no part of the test below 5.5)
- TOEFL (Internet-based): 90 (with a minimum of 20 on the written part)
- TOEFL (paper-based): 575 (with a minimum of 4.5 on the written part)
Please check the University Admissions information on English Language Proficiency to see if you are required to submit a TOEFL or IELTS result.
270 000 SEK (total)
*EU/EEA Citizens are not required to pay tuition fees.
Tuition fees are paid in one-semester installments and the first payment (67 500 SEK) must be paid no later than June 1. This allows for reasonable processing time for a residence permit application.
If you have any questions about tuition fee payments, please e-mail firstname.lastname@example.org.
There are a number of scholarships available for successful applicants to the Business Intelligence Programme who are not EU/EEA citizens.
For more information about scholarships, please visit our webpage about international student scholarships or contact email@example.com.
- How to submit an application
- Required documents for application
- Scholarships for international students
This programme is a two-year master's degree in Business Intelligence. All courses are taught in English.
The programme comprises 120 credits (1 credit = 1 ECTS) and commences at the beginning of September, which is the start of the autumn semester. After passing all courses, including the thesis work, you will be awarded the degree Master of Science (120 Credits), Main Field of Study: Microdata Analysis.
There are two streams offered in the programme - BI for Analytics and BI for Managers.
Courses listed with an A are only for the Analytics stream: courses listed with an M are only for the Manager stream.
Semester 1 (Autumn)
Elective courses: (You will take two of the following courses.)
- Mathematics for Microdata Analysis
- Introduction to Object-Oriented Programming
- Data Analysis and Statistics
- Intermediate Microeconomics
- Database Systems for Master's Programme in BI
- Probability Theory and Markov Processes (A)
- Knowledge Management (M)
- Economics of Leadership
Semester 2 (Spring)
- Statistical Computing with R (A)
- Advanced Microeconomics (M)
- Artificial Intelligence
- Data Collection and Data Quality
Semester 3 (Autumn)
- Generalized Linear Models (A)
- Econometrics (M)
- Data Mining
Elective courses (Choose two courses)
- Intelligent Agents for Distributed Problem-Solving (A)
- Statistical Modelling and Inference (A)
- Spatial Data and GIS (A)
- Multi Agent Systems (M)
- Introduction to Artificial Neural Networks
- Economic Geography
Semester 4 (Spring)
- Master Thesis in BI
The Master's Programme in Business Intelligence from Dalarna University will prepare you for work in an expanding global industry as well as for further studies at the PhD level, including Dalarna University's PhD Programme in Microdata Analysis.
Possible future positions for our graduates are as follows:
- Data Warehouse Developer
- Growth Trends and Peak Business Periods Analyst
- BI Manager
- Architect and Developer in Business Intelligence
- Marketing Database Analyst
Business Intelligence: a Career for the 21st Century
The short- and long-term outlook for graduates of Dalarna University's Business Intelligence Programme is extremely favourable. Restaurants, professional sports teams, retail giants, e-commerce sites and banks are just a few examples of the organisations already implementing BI to improve their organisation so that they can be the leaders in their particular field or industry. Not least, The Harvard Business Review writes that Data Scientists have "the sexiest job of the 21st century", while the US Department of Labor predicts strong growth in the number of positions in the next decade for individuals with a skill set in BI.