Business Intelligence

Business Intelligence at Dalarna University is a comprehensive and innovative master's program designed to equip students with the skills and knowledge necessary to analyze, interpret, and leverage data for strategic decision-making in modern organizations. This program combines theoretical foundations with practical applications, enabling students to understand the complex processes involved in data collection, transformation, and visualization to support business objectives. Throughout the program, students will explore core topics such as data analytics, data warehousing, business intelligence tools, and information management systems. The curriculum emphasizes hands-on experience using industry-standard software and programming languages, including SQL, Python, and specialized BI platforms, preparing graduates for the dynamic demands of the digital business environment.

The program features a multidisciplinary approach, integrating principles from computer science, statistics, and business management to provide a holistic understanding of how data-driven solutions can improve operational efficiency, customer insights, and competitive advantage. Students will engage in real-world projects, case studies, and collaborations with industry partners, which enhances their ability to analyze complex datasets and develop actionable insights. Additionally, the program fosters skills in communication and presentation, enabling graduates to effectively convey analytical findings to non-technical stakeholders.

Business Intelligence at Dalarna University aims to prepare students for careers in various sectors such as finance, marketing, healthcare, and manufacturing, where data-driven decision-making is increasingly vital. Graduates will be well-positioned for roles like business analyst, data analyst, BI developer, or data engineer, contributing to the digital transformation of organizations. The program is designed for students with a background in business, IT, mathematics, or related fields who are eager to deepen their understanding of data analytics and its application in real-world business contexts.

By drawing on Dalarna University’s strong links with industry and focus on applied learning, the Business Intelligence program ensures students gain relevant, practical skills alongside a solid theoretical foundation. Graduates will leave the program with the confidence and competence to analyze large datasets, design effective BI solutions, and support data-driven strategies that enhance organizational success in an increasingly data-centric world.

The Business Intelligence program at Dalarna University is designed to equip students with comprehensive knowledge and practical skills necessary for analyzing and interpreting complex data to support strategic decision-making within organizations. Throughout the programme, students will explore core concepts in data management, data analytics, and information systems, gaining a strong understanding of how to transform raw data into meaningful insights. The curriculum emphasizes both theoretical understanding and hands-on experience, utilizing industry-standard tools and technologies such as SQL, Python, and data visualization software to ensure graduates are well-prepared for the evolving field of Business Intelligence.

Students will delve into data warehousing, data mining, and advanced analytics techniques, learning how to model, analyze, and visualize data to improve business processes and competitive advantage. The programme also covers vital topics such as data governance, security, and ethical considerations related to data handling. Through a combination of lectures, case studies, and project work, students will develop problem-solving skills and the ability to communicate complex findings clearly and effectively to stakeholders at all levels of an organization.

The Business Intelligence programme at Dalarna University emphasizes practical application, with opportunities for internships and collaborations with industry partners to gain real-world experience. Graduates will be prepared for careers in roles such as Business Analyst, Data Analyst, Data Warehouse Developer, and BI Consultant, among others. The programme fosters a strong foundation in analytical thinking, technical proficiency, and strategic understanding, empowering students to contribute to the digital transformation and data-driven decision-making essential in today’s business environment. With a focus on innovation and ethical practice, the programme prepares graduates to meet the challenges of modern business landscapes and pursue continuous professional development in the dynamic field of Business Intelligence.

The programme in Business Intelligence at Dalarna University requires applicants to possess a relevant undergraduate degree or its equivalent, typically in fields such as information technology, computer science, business administration, or similar areas. Prospective students should demonstrate proficiency in English, with accepted tests including IELTS, TOEFL, or equivalent standards specified by the university. Prior knowledge in data analysis, database management, or programming may be advantageous but is not strictly mandatory. The programme emphasizes the development of skills in data collection, processing, and analysis to support strategic decision-making within organizations.

Applicants are expected to submit academic transcripts, a CV or résumé detailing relevant experience, and a personal statement explaining their motivation and suitability for the programme. Some scenarios may require an interview or additional documentation to assess the candidate's preparedness. The curriculum covers core topics such as data warehousing, business analytics, visualization tools, and the ethical considerations of data handling. Students will engage in practical projects, often in collaboration with industry partners, to apply theoretical knowledge in real-world contexts.

The programme is designed to enhance students' analytical skills, problem-solving abilities, and understanding of advanced information systems, preparing graduates for roles such as Business Intelligence Analyst, Data Analyst, or BI Consultant. Dalarna University promotes a collaborative learning environment, encouraging teamwork and innovation. Admission criteria are competitive, reflecting the programme's focus on capacity-building for the rapidly evolving field of data-driven decision-making. Successful applicants will also need to meet general university admission standards, including documentation and accreditation requirements.

Want to improve your English level for admission?

Prepare for the program requirements with English Online by the British Council.

• ✔️ Flexible study schedule
• ✔️ Experienced teachers
• ✔️ Certificate upon completion

📘 Recommended for students with an IELTS level of 6.0 or below.

Enroll in the course

The financing of the Business Intelligence program at Dalarna University is structured to accommodate the needs of both domestic and international students, offering various options to support their educational pursuits. For Swedish and EU/EEA students, funding opportunities primarily include government-funded student aid systems such as the Swedish study support (CSN), which covers tuition fees for degree programmes taught in Swedish or English, and provides loans and grants to assist with living costs. Students are encouraged to apply for CSN funding to ease financial burdens during their studies, with eligibility based on residency and other criteria established by the Swedish government.

International students outside the EU/EEA typically self-finance their studies, as they are generally not eligible for Swedish student aid. However, Dalarna University provides several scholarship opportunities aimed at international applicants, which can partially offset tuition fees. These scholarships are merit-based and limited in number, requiring applicants to demonstrate academic excellence and motivation. Additional funding sources for international students include private loans, sponsorships, or personal savings, depending on individual circumstances.

For students enrolled in the Business Intelligence program, tuition fees are clearly outlined on the university’s official website, and prospective students are advised to plan financially prior to commencing their studies. The cost of tuition varies based on the student status—domestic, EU/EEA, or international—and the specific requirements of the program. The university offers various financial support services, including guidance on applying for external financial aid, scholarships, and employment opportunities for students to supplement their income.

Part-time or flexible study options may also influence the overall financing strategy, allowing students to work alongside their studies to finance their education. Dalarna University collaborates with local and national employers to facilitate internships and work placements which can provide additional income and practical experience. Furthermore, students are encouraged to seek external grants and funding from organizations related to their field of study, industry, or country of origin.

The university’s financial support policies aim to ensure that students can access quality higher education regardless of their socioeconomic background. Detailed information about the application processes, eligibility criteria, and deadlines for various funding options is available on the university’s financial aid webpage. Overall, the financing of the Business Intelligence program is designed to be comprehensive, offering multiple pathways for students to finance their studies and achieve their academic and professional goals at Dalarna University.

The Bachelor’s Degree Programme in Business Intelligence at Dalarna University is designed to equip students with the skills and knowledge necessary to analyze complex data sets and derive actionable insights that can support strategic decision-making within organizations. The programme emphasizes the integration of business acumen with advanced analytical techniques, including data mining, data warehousing, and predictive analytics. Students will learn how to utilize modern tools and software solutions to process large volumes of data, helping enterprises optimize their operations, improve customer relations, and gain a competitive edge in the marketplace.

The curriculum covers a broad spectrum of topics, starting with foundational courses in business administration and computer science, progressing to specialized courses in data analytics, business intelligence tools, and database management. Throughout the programme, students will engage in practical projects and case studies that simulate real-world scenarios, fostering not only technical skills but also critical thinking and problem-solving abilities. The programme also emphasizes the importance of ethical considerations and data privacy, ensuring that graduates are prepared to handle sensitive information responsibly.

Dalarna University’s Business Intelligence programme incorporates teaching methods that promote active learning, including group work, seminars, and industry collaborations. This approach facilitates the development of teamwork and communication skills essential for professional success. Internships and collaboration with local businesses and organizations are integral parts of the programme, providing students with opportunities to apply their knowledge in real business contexts and build professional networks.

Graduates of this programme will be well-prepared for careers in data analysis, business analysis, consultancy, or roles within IT and business sectors that require advanced data skills. The degree also provides a solid foundation for further studies or specialization in areas such as data science, artificial intelligence, or digital transformation. Dalarna University strives to ensure that its Graduates are equipped to meet the technological and analytical challenges of modern enterprise environments, making them valuable assets in the evolving landscape of business intelligence and data-driven decision-making.