Bachelors Degree in International Tourism Management
The Bachelor's Degree in International Tourism Management at Dalarna University, Sw...
Masters Programme in Data Science
Borlange
INTAKE: Jan & Aug
Program Overview
The Master’s Programme in Data Science at Dalarna University provides an advanced education in the rapidly growing field of data science, emphasizing both theoretical knowledge and practical skills. This program is designed for students who wish to delve deep into the principles of data analysis, machine learning, and big data technologies. Students will gain expertise in handling large datasets, applying statistical methods, and using modern data science tools to solve real-world problems. The program prepares graduates for high-demand roles in industries such as technology, finance, healthcare, and research, where data-driven decision-making is crucial.
Curriculum: The Master's Programme in Data Science offers a comprehensive curriculum that spans core areas such as data mining, statistical analysis, machine learning, data visualization, and cloud computing. Students will develop proficiency in using programming languages such as Python, R, and SQL, as well as frameworks and tools like TensorFlow, Hadoop, and Spark. The curriculum is designed to combine both theoretical foundations and hands-on experience, with practical assignments, group projects, and industry collaborations. Students also have the opportunity to specialize in specific areas like artificial intelligence, data engineering, or data analytics based on their career goals. The program culminates in a thesis project, where students apply their learning to real-world data science problems.
Research Focus: Dalarna University emphasizes research excellence in the field of Data Science through its commitment to cutting-edge developments in artificial intelligence, machine learning, and data analytics. The university’s research initiatives explore innovative applications of data science in fields such as smart cities, healthcare, and digital transformation. Students in the Master’s Programme in Data Science will have the opportunity to engage with faculty members on ongoing research projects, gaining insights into the latest methodologies and tools. This research-driven approach not only enhances students' knowledge but also ensures they stay ahead of industry trends and technological advancements.
Industry Engagement: The Master’s Programme in Data Science at Dalarna University is closely connected to industry leaders, ensuring that students have access to real-world data science challenges. Through collaborations with tech companies, research institutions, and government agencies, the program offers students opportunities for internships, hands-on projects, and guest lectures by professionals in the field. These partnerships provide valuable networking opportunities and a direct link to industry demands, helping students build strong relationships that can lead to future career opportunities. Moreover, students work on real datasets during their coursework, which enhances their practical knowledge and prepares them for the dynamic challenges they will face in the workforce.
Global Perspective: The Master’s Programme in Data Science at Dalarna University is designed with a global perspective, recognizing the international importance of data science across various industries. The program attracts students from around the world, fostering a multicultural learning environment that encourages diverse ideas and approaches. Additionally, the curriculum incorporates international standards and best practices, ensuring that students are prepared to work on global data science challenges. Dalarna University also offers opportunities for exchange programs and collaborations with partner universities worldwide, further enriching the international experience and expanding students' global network.
Location
Borlange
Score
IELTS 6.5
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 Programme in Data Science from Dalarna University have a wide array of career opportunities, as data science continues to be a high-demand field across various industries. The program equips students with the technical skills and analytical expertise needed to excel in data-driven roles.
Data Scientist: Specializing in analyzing complex data sets to extract valuable insights, improve business strategies, and develop predictive models.
Machine Learning Engineer: Designing and implementing machine learning algorithms and systems that can analyze and make decisions based on large data sets.
Data Analyst: Analyzing data using statistical methods to help organizations make data-informed decisions, often working in sectors like finance, healthcare, or e-commerce.
Big Data Engineer: Developing systems to manage, store, and process massive amounts of data, ensuring that data flows seamlessly across platforms.
Business Intelligence Analyst: Using data to inform business strategies, identify trends, and assist in decision-making to optimize business performance.
AI Researcher: Conducting advanced research in artificial intelligence and machine learning to develop innovative algorithms and solutions.
Data Engineer: Building and maintaining the architecture required for collecting, storing, and analyzing data, ensuring data accessibility for data science applications.
Data Architect: Designing the structure and database systems for handling large-scale data, ensuring both functionality and security.
Quantitative Analyst: Specializing in financial data analysis, often working in investment banking, hedge funds, or financial consultancies.
Product Manager (Data-Driven): Managing data-focused product development, integrating data analysis to enhance product features, performance, and user experience.
