Masters Program in Business Intelligence

Borlange

 

INTAKE: Jan & Aug

Program Overview

The Master’s Program in Business Intelligence at Dalarna University, Sweden, is designed to prepare students for careers in the rapidly evolving field of data analysis and business intelligence. This program focuses on equipping students with the technical skills and strategic insights required to leverage data for business decision-making. Students will explore various aspects of business intelligence, including data management, data visualization, and analytics, with a particular emphasis on the use of cutting-edge tools and technologies in data-driven business environments. The program combines theoretical knowledge with practical experience, making it ideal for individuals looking to pursue a career in data science, analytics, or business management.

Curriculum: The Master’s Program in Business Intelligence offers a dynamic curriculum that covers both the technical and managerial aspects of business intelligence. The program includes core subjects such as data mining, business analytics, database management systems, and machine learning, alongside more specialized courses like big data technologies, cloud computing, and artificial intelligence applications in business. Students also have the opportunity to engage in hands-on learning through practical assignments and case studies that simulate real-world business scenarios. The curriculum is designed to provide students with a solid foundation in both the theory and practice of business intelligence, equipping them with the skills to analyze and interpret complex data sets, ultimately aiding strategic decision-making processes.

Research Focus: Dalarna University’s Master’s Program in Business Intelligence emphasizes applied research, with a focus on innovative approaches to data analytics and business intelligence. Students have the opportunity to participate in research projects related to areas such as data visualization, predictive analytics, and the development of intelligent business systems. The university encourages students to explore new methodologies in data management, including the use of AI and machine learning in business applications. By engaging with current research trends, students will be well-prepared to contribute to advancements in the field of business intelligence, and to tackle the complex data-related challenges faced by modern organizations.

Industry Engagement: The Master’s Program in Business Intelligence at Dalarna University is closely aligned with industry needs, providing students with ample opportunities to engage with the business and technology sectors. Students will have access to a wide range of networking opportunities through internships, industry collaborations, and guest lectures from experts in the field. The program partners with companies and organizations to ensure that students gain practical, real-world experience in applying business intelligence tools and techniques. This strong industry connection not only enriches the learning experience but also helps students build valuable professional networks that can enhance their career prospects after graduation.

Global Perspective: Dalarna University is known for its global approach to education, and the Master’s Program in Business Intelligence is no exception. The program attracts students from all around the world, creating a diverse and multicultural learning environment that promotes the exchange of ideas and perspectives. The curriculum is designed to address global business challenges, preparing students to work in a variety of international contexts. Students will gain insights into how businesses use data to make decisions in different economic and cultural environments. Additionally, the university encourages students to participate in global internships or collaborative research projects, allowing them to broaden their understanding of business intelligence applications worldwide.

Pollster Education

Location

Borlange

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

SEK 150000

Postgraduate Entry Requirements

Application Fee: SEK 900

Academic Qualifications: Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 55% or equivalent.

English language proficiency:

  • IELTS: A minimum overall score of 6.5 or 7.0 with no individual component below 6.0.
  • TOEFL: A minimum overall score of 90.
  • PTE Academic: A minimum overall score of 62.

Dalarna University offers a range of scholarships to support international students pursuing higher education in Sweden. These scholarships aim to help students from outside the European Union (EU) and European Economic Area (EEA) by providing financial assistance to cover tuition fees and, in some cases, living expenses. 

Dalarna University Scholarships for Master's Students: These scholarships are awarded to international students based on academic merit and are intended to cover partial or full tuition fees. The scholarship does not cover living expenses, so students must plan for additional financial resources to cover their day-to-day costs in Sweden.

Swedish Institute Scholarships: While not directly administered by Dalarna University, students can apply for the Swedish Institute Scholarships for Global Professionals (SISGP). These prestigious scholarships are available to international students from selected countries and cover both tuition fees and living expenses.

Graduates of the Master’s Program in Business Intelligence from Dalarna University are well-prepared to pursue diverse and exciting career opportunities in the ever-evolving field of data analytics and business intelligence. The program provides students with the advanced skills needed to analyze data, interpret trends, and drive data-driven decision-making in organizations. 

Business Intelligence Analyst: BI analysts are responsible for gathering, analyzing, and interpreting large sets of data to help organizations make strategic decisions. They use BI tools to create reports, dashboards, and visualizations that provide actionable insights for decision-makers.

Data Scientist: Data scientists work with large data sets to develop models and algorithms, utilizing advanced machine learning techniques and statistical analysis to predict trends, optimize business processes, and make data-driven decisions.

Data Analyst: Data analysts focus on interpreting data to uncover patterns, trends, and insights that can improve business processes. They typically use tools such as Excel, SQL, and data visualization software to analyze and present data.

Business Analyst: Business analysts leverage data analysis and business intelligence tools to identify inefficiencies in organizational processes, develop solutions, and improve overall business performance.

Data Engineer: Data engineers build and maintain the infrastructure that allows data scientists and analysts to access and process data efficiently. They design data pipelines, develop databases, and ensure data quality.

Analytics Consultant: Analytics consultants provide expert advice to businesses on how to integrate data-driven decision-making into their strategies. They work across industries to help clients improve business operations through the application of business intelligence tools and analytics.

Machine Learning Engineer: Specializing in predictive modeling, machine learning engineers create algorithms and systems that enable machines to learn from data and improve their performance over time.


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