During this programme, you will get a comprehensive understanding of the fundamental aspects of data modelling, computational techniques and statistical analysis.

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

Summary

We are living through a time of immense digital transformation. In order to benefit society, science and businesses, we need to develop the right tools to extract the full value from the ever-increasing growth of digital data. This interdisciplinary two-year master’s programme will provide you with understanding of the state-of-the-art methods and algorithms of data science through hands-on experience with the latest tools and systems in the industry. After graduation, you will be qualified to work in a range of positions in data-centred projects as well as pursue PhD studies in data science.

Admission 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.

Selection:

credits 100%

About

Student in computer lab

Data Science is an emerging and multidisciplinary field that requires knowledge and skills in subjects such as computer science, mathematics and communication technologies. During this programme, you will get a comprehensive understanding of the fundamental aspects of data modelling, computational techniques and statistical analysis. You will apply these skills to real-world problems and build a portfolio of projects demonstrating solutions to current business and societal challenges. You will have the opportunity to conduct original and innovative research, working with industry partners and academia during the capstone project course and thesis work.

The programme is built around the international research environments at the Department of Computer Science and Media Technology. The teaching staff includes experts in artificial intelligence, data processing and analysis, software development for big data and cloud architectures, modern software methodologies, and data visualisation.

What career will you be prepared for?

Graduates will enter the workplace with solid skills in managing, modelling, visualising and processing big data in order to provide insights to meet the growing needs of a digitised society. After graduating from this programme, you will have developed competencies that are applicable across various sectors and application domains of data science such as computer science, technology, logistics, financial services, internet of things, transport, business analytics, healthcare, gaming and digital marketing and advertising analytics.

In addition, the programme will prepare you for postgraduate education in computational-based science and technology — especially focussed on data science — but also research and development work in related areas.

 

Interviews

Syllabus

Syllabus for students admitted autumn 2021

Programme Code:
TACAS revision 2
Swedish name:
Datavetenskap: Tillämpad data science, masterprogram
Language:
English
Date of establishment:
17 June 2019
Date of ratification:
25 August 2020
Decision-making body:
Faculty of Technology and Society
Enforcement date:
30 August 2021

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.

Organisation

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

Content

Courses

For programme with start Autumn 2021:
Autumn 2021 - Semester 1
Spring 2022 - Semester 2
Autumn 2022 - Semester 3
Spring 2023 - Semester 4

Learning outcomes

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

  • demonstrate knowledge and understanding of computer science, incorporating broad knowledge within the field as well as substantial, specialised knowledge within certain aspects of the field,
  • demonstrate in-depth insight into relevant research and development work; and
  • demonstrate in-depth knowledge of methodologies within computer science.
Competencies and skills
In order to complete master’s degree in Computer Science the student must:
  • demonstrate the ability to critically and systematically integrate knowledge and to analyse, assess and handle complex phenomena, issues and situations, even with limited information;
  • demonstrate the ability to critically, independently and creatively identify and formulate questions, to plan and execute – using appropriate methods – advanced assignments within specific deadlines and thus contribute to the development of knowledge, and to evaluate such work;
  • demonstrate the ability in both national and international settings to orally and in writing clearly describe and discuss his/her conclusions and the knowledge and arguments on which these are based, in dialogue with different groups; and
  • demonstrate the skills that are required to take part in research and development work or for independent work in other qualified activities.
Evaluation and approach
In order to complete a master’s degree in Computer Science the student will:
  • demonstrate the ability within computer science to make assessments in relation to relevant scientific, social and ethical aspects, as well as demonstrating awareness of ethical issues in research and development work,
  • demonstrate insight into the opportunities and limitations of the science, the role these play in society and the human responsibility for how this is used, and
  • demonstrate the ability to identify their own need for further knowledge and to take responsibility for their own knowledge development.

Degree

Master's Degree (120 credits).

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)

Other Information

The prerequisites for admission to each individual course are provided in the respective syllabi.
This document is a translation of a Swedish source text.

Contact

The education is provided by the Faculty of Technology and Society at the Department of Computer Science and Media Technology.

Further information

Studentservice TS - Malmö Universitet,
Radu-Casian Mihailescu, Programme Coordinator

If you have any questions or need further information about the programme, please contact Student Services at TSstudent@mau.se.

For specific admissions-related questions, please contact Admissions Office at admissions@mau.se or +46 40 665 75 00.

Application

30 August 2021 Day-time 100% Malmö Application code: mau-18003

National application round

Tuition fees

for non-EU students only

First instalment: 125000 SEK
Full tuition Fee: 250000 SEK

Application deadline 15 January

Apply

30 August 2021 Day-time 100% Malmö Application period for this offer starts 15 March 2021.

31 August 2020 Day-time 100% Malmö Schedule

Tuition fees

for non-EU students only

First instalment: 125000 SEK
Full tuition Fee: 250000 SEK