Master of Data Science
Borlänge, Sweden
DURATION
2 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
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EARLIEST START DATE
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TUITION FEES
SEK 300,000
STUDY FORMAT
On-Campus
Key Summary
Introduction
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 Data Science Program at Dalarna University prepares you to be at the centre of this transformation working within private companies, public organisations and research institutions.
Our program 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.
Admissions
Curriculum
The following courses are mandatory for getting a degree with a major in Data Science:
- Business Intelligence
- Statistical Learning
- Data Collection and Data Quality
- Economics of Leadership
- Machine Learning
- Master's Thesis (30 credits)
The following courses are also available within the Data Science program
- Data Analysis and Visualization
- Python- and R- programming
- Risk Analysis
- Data Warehousing
- Logic & Maths
- Spatial Data and Geographical Information Systems
- Internship
- Complexity and Operations Research Methods
Program Outcome
Upon completion of the program, students will graduate with a Degree of Master of Science (120 Credits), Main Field of Study: Microdata Analysis.
Program objective
On completion of the program, students shall be able to:
- Demonstrate critical thinking and theoretical awareness of knowledge within the field of micro-data analysis.
- Expand and develop new insights into the modelling and analysis of data to be able to independently design and implement robust analytical models in organizations within a given time frame.
- Manage complex and large amounts of data in an organisation so as to be able to integrate and incorporate Data Science into day to day decision making.
- Apply specialized theoretical and practical knowledge to be able to critically analyse, evaluate, synthesize and model data.
- Communicate methods, results, and knowledge using appropriate techniques to both specialists and laymen within an organization.
- Critically analyze and evaluate the relevant tools that an organization uses to better understand their business and to improve decision making.
- Demonstrate leadership, innovation and independence in situations where many factors interact.
- Review and reflect on the social and ethical issues, norms and relationships and act to ensure and execute them. Proper care must be ensured while handling sensitive and confidential data. Typical examples include customers in a bank, credit card information, and patient information and so on.
The Master's Program in Data Science from Dalarna University will prepare you for further studies at the PhD level, including Dalarna University's PhD Program in Microdata Analysis.
Program Tuition Fee
Career Opportunities
The short- and long-term outlook for graduates of Dalarna University's Data Science Program is extremely favorable. In the "The Future of Jobs Report" published in 2018, the World Economic Forum writes that "Four specific technological advances—ubiquitous high-speed mobile internet; artificial intelligence; widespread adoption of big data analytics; and cloud technology—are set to dominate the 2018–2022 period as drivers positively affecting business growth"
Dalarna University's Data Science Program will provide you with the practical and theoretical knowledge in machine learning, AI and big data analytics to make you an attractive candidate for a variety of job positions. 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