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Master Programme in Data Science

60 Credits, Programme, master's level
Being a student at the Master Programme in Data Science means engaging in an active search for knowledge, problem solving, and critical analysis based on a scientific approach. You will learn how to manage and analyze big data, as you will have a combination of knowledge and skills in data science.

This programme aims at developing your statistical, decisional, and analytical skills. It also equips you with hands-on skills in order to solve business problems, be innovative, support digitalization, and monetization. The objective is to prepare candidates to become data scientists and analysts ready to pursuing careers in both private and public sectors. It also offers “tailor-made form of education” via its flexibility and blended offering of in-class and online. Lastly, the program will act as a forum to link us to our industrial as well as academic partners in Sweden and European-wide.

Description

In this programme, students learn business intelligence, advanced data mining, data visualization, predictive analytics and data science programming. During the first round of courses, the students learn business intelligence and advanced data mining. During the second round, text analytics and visualization techniques. In the third, students learn predictive analytics and data science programming language and finally, they write their thesis on a data science topic. The programme equips students with knowledge and hands-on skills, with focus on supporting the decision making process in organizations. The educational methods vary between individual study, labs, group work, projects, case studies, seminars, and lectures.

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Labour market

The program prepares you to become a data scientist, data analyst; business intelligence consultant; and the other relevant job titles. In a nutshell, the programme’s profile enables you to work in managing and analyzing enormous amounts of data, since you will have a combination of knowledge and skills in data science.

Application
Master Programme in Data Science (Luleå, Normal teaching),
Luleå, Normal teaching, Autumn 2023

Startdatum 2023-08-28, w.35 2023
Luleå
Day-time, 100%
English
LTU-97001
2023-01-16
10
Entry requirements

Academic degree of at least 180 higher education credits, in the areas of Systems Science, Computer Science, Computer Engineering, Information Systems or equivalent. The degree shall include courses in programming and databases with a minimum of 7,5 credits each.

Good knowledge in English, equivalent to English 6

More information about English language requirements

Selection

The selection procedure is based on academic qualifications, quality and quantity aspects

Apply here

Application
Master Programme in Data Science (Varied, Distance learning),
Varied, Distance learning, Autumn 2023

Startdatum 2023-08-28, w.35 2023
Varied
Day-time, 100%
English
Compulsory: 0
As a distance student, you do not need to travel to Luleå at any time during your studies.
LTU-97002
2023-01-16
25
Entry requirements

Academic degree of at least 180 higher education credits, in the areas of Systems Science, Computer Science, Computer Engineering, Information Systems or equivalent. The degree shall include courses in programming and databases with a minimum of 7,5 credits each.

Good knowledge in English, equivalent to English 6

More information about English language requirements

Selection

The selection procedure is based on academic qualifications, quality and quantity aspects

Apply here

Do you want to know more about the programme?

The programme syllabus includes a description of the programme structure and its courses. The study schedule shows the order in which the courses in the programme are carried out. The qualification descriptor includes local and central requirements that must be met for a particular degree.

Frequently asked questions

Here you will find frequently asked questions about studying at Luleå University of Technology.

 

Q  Did you not find answers to your questions? 

At Universityadmissions.se, you can find answers to many questions regarding application, admission and eligibility. You can also contact us with general questions about studying at Luleå University of Technology and questions related to eligibility and admission.

 

Questions about the programme

For detailed questions about the contents of the programme, please do not hesitate to contact us. For questions about application, admission, eligibility, and fees, please see information above.

Ahmed Elragal

Ahmed Elragal, Professor

Organisation: Information systems, Digital Services and Systems, Department of Computer Science, Electrical and Space Engineering
Phone: +46 (0)920 493670