EDUCATION DIRECTORY
PÅ SVENSKA
Malmö University

Programme syllabus

Autumn 2025

Programme syllabus, Autumn 2025

Title

Computer Science: Applied Data Science, Master's Program (Two-Year)

Swedish title

Datavetenskap: Tillämpad data science, masterprogram

Programme code

TACAS

Credits

120 credits

Language of instruction

English

Decision-making body

Faculty of Technology and Society

Syllabus valid from

2025-09-01

Programme establishment date

2019-06-17

Syllabus approval date

2024-05-07

Level

Master's level

Entry requirements

  1. Bachelor's degree or master's degree (at least 180 credits) in computer science or related topics such as mathematics, informatics, telecommunications, electrical engineering, or physics.
  2. At least 15 credits in programming.
  3. At least 7.5 credits in mathematics.
  4. The equivalent of English 6 at Swedish upper secondary level.

Programme structure

The programme deepens the students’ knowledge and skills in computer science and research methods in the field of data science — an emerging interdisciplinary subject at the borderlines between computer science, mathematics and communication. The students will study and apply methods and algorithms that are used by data analysts and engineers working at the forefront of research. The programme covers the entire data management process from data collection,,through to data processing and analysis and ultimately to visualisation and reporting of results. Students will use techniques within a variety of fields such as applied mathematics and statistics, machine learning and cloud services for large data sets. They will translate their knowledge into practice by tackling real-life, data science-related issues and challenges that arise in both the private sector and society at large. In this way, students will build up a repertoire of tools and systems and the ability to determine how to use them to solve specific problems.

Programme contents

Semester 1, Autumn 2025

Artificial intelligence for data science
DA631E, 15 credits (compulsory)
Main field of study: Computer Science
Statistical Methods for Data Science
MA660E, 7.5 credits (compulsory)
The course does not have a main field of subject.
Data and Society
DA630E, 7.5 credits (compulsory)
Main field of study: Computer Science

Semester 2, Spring 2026

Exploratory Data Analysis, Visualization and Storytelling
MA661E, 7.5 credits (compulsory)
The course does not have a main field of subject.
Data-Driven Methodologies for Software Development
DA635E, 7.5 credits (compulsory)
Main field of study: Computer Science
Advanced Machine Learning
DA633E, 15 credits (compulsory)
Main field of study: Computer Science
DA635E Data-Driven Methodologies for Software Development, is within the main field of computer science. The course is not compulsory for, but can be included in, the degree requirements for a Master of Science in Computer Science.

Semester 3, Autumn 2026

Capstone project in Applied Data Science
DA637E, 7.5 credits (compulsory)
Main field of study: Computer Science
Research Methods of Computer Science and Fundamental Computational Theory
DA658E, 7.5 credits (compulsory)
Main field of study: Computer Science
Big Data Analytics on Cloud Computing Infrastructures
DA636E, 15 credits (compulsory)
Main field of study: Computer Science
DA637E Capstone project in Applied Data Science, is within the main field of computer science. The course is not compulsory for, but can be included in, the degree requirements for a Master of Science in Computer Science.

Semester 4, Spring 2027

Master’s thesis in Applied Data Science (two year)
DA659E, 30 credits (compulsory)
Main field of study: Computer Science

Qualitative targets

Knowledge and understanding

In order to complete a master’s degree in Computer Science the student must:

Competencies and skills

In order to complete master’s degree in Computer Science the student must:

Evaluation and approach

In order to complete a master’s degree in Computer Science the student will:

Degree

Master's degree with a major in Computer Science (120 credits).

Master of Science in Computer Science (120 credits).

A Master of Science in Computer Science is achieved after the student has completed course requirements corresponding to 120 credits, of which all compulsory courses within the programme must be completed with at least a passing grade. In addition, the student must have completed a bachelor’s degree of at least 180 credits (or the equivalent qualification completed abroad)

Additional information

The prerequisites for admission to each individual course are provided in the respective syllabi.

A decision to discontinue a programme will result in the programme syllabus ceasing to be valid. However, students will have the opportunity to complete their studies within the nominal period of study(calculated from the last admission to the programme's first semester) andduring at least the following two semesters, known as the ’discontinuation period’.

This document is a translation of a Swedish source text.