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Data Science - Master's Programme

Programme, Master's (2nd cycle), 120 credits, DSCMA

Master of Science

Application

About the programme

Contact

Application

Autumn 2026, Location: Campus (Skövde), Pace: 100%

Application

Application code HS-41294 at universityadmissions.se

Programme Syllabus

Autumn 2026 – Swedish original (PDF)

Autumn 2026 – English translation (PDF)

When? Where? How?

Study period: 31 August 2026 - 4 June 2028

Location: Skövde, Campus

Pace of study: 100%

Courses (syllabus)

Find the complete course list in the programme syllabus.

Admission Requirements

A Bachelor's degree equivalent to a Swedish Kandidatexamen of 180 credits, and skills equivalent to 7,5 credits in Programming and 7,5 credits in Mathematics or Statistics.

A further requirement is proof of skills in English, equivalent of studies at upper secondary level in Sweden, known as English 6 or English level 2. This is normally demonstrated by means of an internationally recognized test, e.g., IELTS, TOEFL, or an equivalent.

Tuition fee

Total 310,000 SEK (first instalment 77,500 SEK)
EU/EEA Citizens are not required to pay tuition fees.

Selection

Credits awarded.

Language

The courses are conducted in English.

Autumn 2025, Location: Campus (Skövde), Pace: 100%

Application closed

Application

15 October 2024 - 15 January 2025

Application code HS-41265 at universityadmissions.se

Programme Syllabus

Autumn 2025 – Swedish original (PDF)

Autumn 2025 – English translation (PDF)

When? Where? How?

Study period: 1 September 2025 - 6 June 2027

Location: Skövde, Campus

Pace of study: 100%

Courses (syllabus)

Find the complete course list in the programme syllabus.

Semester 1, Autumn 2025

Artificial Intelligence A1N (PDF)

Introduction to Data Science A1N (PDF)

Data Mining A1N (PDF)

Semester 2, Spring 2026

Big Data Programming A1F (PDF)

Visual Data Analysis A1N (PDF)

Data Science Project A1F (PDF)

Admission Requirements

A Bachelor's degree equivalent to a Swedish Kandidatexamen of 180 credits, and skills equivalent to 7,5 credits in Programming and 7,5 credits in Mathematics or Statistics.

A further requirement is proof of skills in English equivalent of studies at upper secondary level in Sweden, known as English course 6. This is normally demonstrated by means of an internationally recognized test, e g IELTS, TOEFL or the equivalent.

Tuition fee

Total 270,000 SEK (first instalment 67,500 SEK)
EU/EEA Citizens are not required to pay tuition fees.

Selection

Credits awarded.

Language

The courses are conducted in English.

Data Science is the collective name for various kinds of methods that are used to analyse large quantities of complex data, also known as big data. Data science provides critical support to decision makers in many professions, allowing them to make decisions based on information specific to their particular circumstances.

About the programme

Data science is based primarily on the areas of informatics such as programming, data mining, artificial intelligence, and visualization. It is used in many application areas, such as business intelligence, the detection of anomalies in patterns of behaviour, analysis of services in cloud computing, and in bioinformatics and genetics.

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The focus of your studies

The programme focuses on three main areas: intelligent data analysis, programming and decision support. Example courses are artificial intelligence, data mining, programming, visual analytics and business intelligence.

The University of Skövde has a strong research profile in informatics. This means that after graduation there are excellent opportunities for you to continue your studies and pursue a doctoral degree. All of the teachers in the programme have experience in data science research and the majority are working on ground-breaking projects so that students are exposed to the latest trends in this important and exciting area.

Upon completion of your studies

The career opportunities are almost endless. With a degree in Data Science, you can work, for example, as a data analyst, a software developer, or a technical specialist. There is an extensive and increasing demand, nationally and internationally, for data scientists who master this subject and who understand all the links in the chain of processing, analysing, and extracting knowledge from big data. Glassdoor has ranked Data Scientist as the no. 1 job in USA, and 5 of the top 10 US jobs are related to Analytics, Big Data, and Data Science.