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Master of Science in Applied Data Science

Applied Data Science is a two-year Master's programme that aims to increase the ICT competence of engineers from different fields.

Facts
Duration

2 years/4 semesters

Number of study places

15

ECTS credits

120

Language of instruction

English

Study start

August every year

No tuition fees

Applied Data Science students will learn to extract relevant information from a compilation of large datasets from different sources. The ability to create, manage and exploit data has become one of the most important challenges for practitioners in most disciplines, sectors, and industries.

Students with expertise in Applied Data Science will be highly sought after in the future labor market, where they will contribute to the development of smart solutions and digitization.

The new study comes in the wake of Big Data and the need to find useful information in them. Analysis, understanding, and use of these data require interdisciplinary skills and knowledge. Applied Data Science creates opportunities for students from different engineering backgrounds who want to focus more on digitization and data analysis.

For students with a bachelor's degree in computer science or similar, we recommend the master's program in Computer Science, specialisation Data Science.

Applied Data Science is crucial for creating smart solutions, such as the development of smart cities, smart energy, smart healthcare. Applied Data Science specialises in information retrieval, data recovery and further in-depth study of statistics.

The Master's programme has a practical profile, where after specialisation in statistics and computer science you use algorithms on real data sets.

UiS has a strong research focus on analysis of large datasets, Cloud solutions, and machine learning.

University of Stavanger offers and encourages the student to take a preparatory summer course in programming and system administration. The first part is web-based and taken in June/July and the second part is 5 days on-campus in the first half of August. More information about the summer course: Preparatory course offer.

UiS is offering break rooms, reading rooms and computer rooms especially reserved for the master students. There is also a student organization for these students, ISI, which is arranging both academic and social gatherings.

You may also be interested in:

Applied Data Science part-time

Computer Science, master

Career prospects

With a Master in Applied Data Science you can get a position in almost all industries. Some examples of businesses where you can find employment are: Consulting companies, telecommunications companies, energy related businesses, hospitals and other public agencies. Specialisation in Data Science provides a basis for work in data analysis and development of data processing systems for the whole data lifecycle. It builds knowledge and skills in advanced statistics, data mining, machine learning and processing of large data volumes

Completed master’s degree in Applied Data Science provides the basis for admission the PhD programme in Information technology, mathematics and physics.

Learning outcomes

All study programmes at the UiS have a set of defined learning targets. Read more about the learning outcome for this study programme.

After having completed the master’s programme in Applied Data Science, the student shall have acquired the following learning outcomes, in terms of knowledge, skills and general competences: 

Knowledge 

K1: Advanced knowledge within Data Science, which includes data processing, data, machine learning, data extraction, statistics and typical programming languages for the area, including: Python and R.

K2: Specialized insight into data analysis.

K3: In-depth knowledge of scientific theory and methods in Data Science.

K4: Apply knowledge about algorithms for statistical analysis, machine learning or data extraction in new areas within data science.

K5: Analyse professional issues based on the fourth science paradigm, 4Vs of big data (volume, velocity, variety, and variability), data-driven approach, CRISP-DM (cross-industry standard process for data mining).  

Skills 

S1: Analyse and relate critically to different sources of information, datasets and data processes; and apply these to structure and formulate data-driven reasoning.

S2: Analyse existing theories, methods and interpretations within the subject area and work independently in applying and evaluating different storage and data processing technologies.

S3: Use CRISP-DM and scientific methods to develop data analysis programs in an independent way.

S4: Conduct independent, limited data collection, analysis and evaluation according to established engineering principles in accordance with current research ethical standards.  

General Competence 

G1: Analyse relevant ethical issues arising from data usage and data recovery.

G2: Apply their knowledge and skills in new areas to carry out advanced tasks and projects related to data processing, data analysis and optimisation.

G3: Communicate results of comprehensive data analysis and development work, and master Data Science expressions.

G4: Communicate on issues, analyses and conclusions related to data-driven research and development, both with specialists and to the general public.

G5: Contribute to new ideas and innovation processes by introducing data-driven approaches. comprehensive data analysis and development work, and master Data Science expressions.  

Academic requirements

A Bachelor's degree in engineering or equivalent is required.

The degree must include at least:

  • 10 ECTS credits in informatics/computer sciences/an introductory course for engineers including programming
  • 30 ECTS credits in mathematics/statistics/calculus

If you have completed studies/courses outside the University of Stavanger, you must upload course descriptions that have clearly defined curriculum (learning outcomes). The course names and codes on the course descriptions must match the transcript of records. If you do not provide course descirptions, you might risk your application to not be prioritized.

Admission to this master's programme requires a minimum grade average comparable to a Norwegian C (according to ECTS Standards) in your bachelor's degree.

Application and admission

How to apply?

English requirements, documentation requirements and more

Important information

Only Nordic citizens and applicants residing in Norway can apply to MSc in Applied Data Science.

Application period: 1 February - 15 April

(NB! The deadline for applicants with foreign educational background is 1 March.)

Contact

For inquiries regarding admission, send an email to masteropptak@uis.no

Study plan and courses
Already a student? Find the full study programme description and study plan here

Frequently asked questions

What is the main difference between the three master's programs?

The difference between ADS (Applied Data Science) and DS (Data Science) is that in ADS, students receive more basic training in programming and databases that students in DS (and CS (Computer Science)) already have. Otherwise, there is a large overlap between ADS and DS. DS and CS have the same admission basis, while ADS has a different admission basis.

What is the difference between ADS / DS and CS (Reliable and secure systems)?

Specialization: Reliable and secure systems

The specialization in reliable and secure systems teaches you the management, design and programming of computer systems. The ability to integrate knowledge and skills in security, reliability and scalability together with algorithm theory and statistics is necessary to respond to challenges in computer systems in all industries.

Specialization in reliable and secure systems provides a basis for work with the development and planning of commercial computer systems for various purposes. You gain knowledge and skills in network security, reliability of distributed systems, simulation and modeling.

What do you learn in the specialization Data Science?

The specialization in Data Science teaches you to extract relevant information from a compilation of large data sets from different sources. The ability to create, manage and utilize data has become one of the most important challenges for practitioners in almost all disciplines, sectors and industries.

Specialization in Data Science provides a basis for work in data analysis and development of data processing systems for the entire data life cycle. You gain knowledge and skills in advanced statistics, data mining, machine learning and processing large amounts of data. The study will be highly sought after in the future labor market, with the development of smart solutions such as in smart cities, with smart energy and digitalisation.

Student exchange

By going on exchange to one of our partner institutions abroad as part of your studies, you will have an opportunity to get a unique education. In addition to improving your career opportunities, you grow as a person and gain the ability to greater reflect on the topics you study as part of your degree. All about exchange

Exchange semester

3rd semester  



Exchange scheme

Applicants admitted to the program are recommended to go on an exchange semester abroad as a part of their studies. UiS regards this exchange as a highly positive component of the program which will increase your employability. Students should select from their study programme’s recommended universities.



Recommended semester abroad is 3rd semester. This semester has 30 ECTS elective courses. When studying abroad you must select courses that provide an equivalent specialization in the subject area. These courses should not overlap with the courses you have already completed. We recommend that you also take into account your field of interest.



More opportunities 

In addition to the recommended universities listed below, UiS has a number of agreements with universities outside Europe that are applicable to all students at UiS, provided that they find a relevant subject offering. 

Within the Nordic region, all students can use the Nordlys and Nordtek networks. Find out more



Contact person

Guidance and pre-approval of topics:

Seyfi Akinci



General information about exchange: Exchange guide in Digital student service desk

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Student exchange
  • All countries

    Grenoble Institute of Technology

    Bli Erasmus+-student og studér i de franske alper i Frankrikes beste studentby Grenoble!

    University of Pisa

    University of Twente, Enschede

    Opplev Europa og det internasjonale studiemiljøet i Nederland. University of Twente er UiS sitt partneruniversitet i ECIU-nettverket og tilbyr utvekslingsmuligheter for mange studenter ved UiS. University of Twente er et moderne og innovativt campus-universitet som satser stort på entreprenørskap og har mer enn 9000 studenter.

    Lodz University of Technology

    University of Seville

    University of Seville er et av de best rangerte universitetene i Spania, med over 65 000 studenter. Universitetet er kjent for sin forskning innen teknologi og vitenskap.

    Aachen University of Technology

    Er du på utkikk etter en spennende mulighet i Tyskland er RWTH Aachen University det naturlige valget! Universitetet streber etter å bli det beste tekniske universitetet i Tyskland innen 2020 og er på god vei til målet. Bli med på en del av reisen – bli utvekslingsstudent i Aachen!

    Technical University of Munich

    California State University-Los Angeles

    California State University, Los Angeles (Cal State LA) er en del av det anerkjente California State University, som er USAs fjerde største universitet.

    The University of Adelaide

    Universitetet i Adelaide ligger i Adelaide, Australias femte største by. Med sine 1.2 millioner innbyggere er Adelaide en trygg, kosmopolitisk by som er betraktelig rimeligere å bo i enn flere sammenlignbare byer i Australia. Universitetet er medlem av Group of Eight, en koalisjon av de åtte ledende universitetene i Australia.

  • France

    Grenoble Institute of Technology

    Bli Erasmus+-student og studér i de franske alper i Frankrikes beste studentby Grenoble!

  • Italy

    University of Pisa

  • Netherlands

    University of Twente, Enschede

    Opplev Europa og det internasjonale studiemiljøet i Nederland. University of Twente er UiS sitt partneruniversitet i ECIU-nettverket og tilbyr utvekslingsmuligheter for mange studenter ved UiS. University of Twente er et moderne og innovativt campus-universitet som satser stort på entreprenørskap og har mer enn 9000 studenter.

  • Poland

    Lodz University of Technology

  • Spain

    University of Seville

    University of Seville er et av de best rangerte universitetene i Spania, med over 65 000 studenter. Universitetet er kjent for sin forskning innen teknologi og vitenskap.

  • Germany

    Aachen University of Technology

    Er du på utkikk etter en spennende mulighet i Tyskland er RWTH Aachen University det naturlige valget! Universitetet streber etter å bli det beste tekniske universitetet i Tyskland innen 2020 og er på god vei til målet. Bli med på en del av reisen – bli utvekslingsstudent i Aachen!

    Technical University of Munich

  • United States

    California State University-Los Angeles

    California State University, Los Angeles (Cal State LA) er en del av det anerkjente California State University, som er USAs fjerde største universitet.

  • Australia

    The University of Adelaide

    Universitetet i Adelaide ligger i Adelaide, Australias femte største by. Med sine 1.2 millioner innbyggere er Adelaide en trygg, kosmopolitisk by som er betraktelig rimeligere å bo i enn flere sammenlignbare byer i Australia. Universitetet er medlem av Group of Eight, en koalisjon av de åtte ledende universitetene i Australia.

Contact

51831276
Faculty of Science and Technology



Faculty Administration TN



Kontor for utdanningsadministrative tjenester
Førstekonsulent
51831747
Faculty of Science and Technology



Faculty Administration TN



Kontor for utdanningsadministrative tjenester
Førstekonsulent
51832061
Faculty of Science and Technology



Department of Electrical Engineering and Computer Science
professor
Our Department

Department of Electrical Engineering and Computer Science

Welcome to our department!

The department is responsible for teacing, research and development within electrical and computer engineering at UiS. As computer technology becomes increasingly important in society, so this department keeps growing in size and expanding its activities.

Relevant studies

The department of Electrical Engineering and Computer Science offers a growing range of studies, from bachelor to Phd level.

ICT research

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