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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.

Publisert: Endret:
Facts
Duration

2 years/4 semesters

Number of study places

23

ECTS credits

120

Language of instruction

English

Study start

August every year

No tuition fees

Student med PC og robot. Foto: Elisabeth Tønnesen

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

Med en mastergrad i Applied Data Science er du etterspurt i nærmest alle bransjer, og dette studiet åpner for mange ulike typer jobber. Du kan jobbe i et IT-konsulentselskap, telekommunikasjonsbedrift, energibedrift, helseforetak, i annen offentlig sektor eller i en teknologiutviklingsbedrift som krever kunnskap og innsikt i håndtering og analyse av store datasett. Studiet er svært ettertraktet i framtidens arbeidsmarked, med utvikling av smarte løsninger som for eksempel i smarte byer, med smart energi og digitalisering. 

Fullført mastergrad i Applied Data Science gir grunnlag for opptak på PhD-studier innen informasjonsteknologi, matematikk og fysikk.

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.

En kandidat med fullført og bestått 2-årig mastergrad i Applied Data Science skal ha følgende samlede læringsutbytte definert i form av kunnskap, ferdigheter og generell kompetanse:

 

Kunnskap

K1: Avansert kunnskap innenfor data science, som omfatter databehandling, stordata, maskinlæring, datautvinning, statistikk og typiske programmeringsspråk for området, Python  og R. 

K2: Spesialisert innsikt i data analyse. 

K3: Inngående kunnskap om vitenskapelige teori og metoder i data science. 

K4: Anvende kunnskap om algoritmer for statistisk analyse, maskinlæring eller datautvinning på nye områder innenfor data science. 

K5: Analysere faglige problemstillinger med utgangspunkt i fjerde vitenskapens paradigme, 4Vene av stordata (volum, velositet, variasjon, variabilitet), data-drevet tilnærming, CRISP-DM (cross-industry standard process for data mining)

Ferdigheter

F1: Analysere og forholde seg kritisk til ulike informasjonskilder, datasett og dataprosesser; og anvende disse til å strukturere og formulere data-drevet resonnement. 

F2: Analysere eksisterende teorier, metoder og fortolkninger innenfor fagområdet og arbeide selvstendig med å anvende og evaluere ulike lagrings- og databehandlingsteknologier. 

F3: Bruke CRISP-DM og vitenskapelige metoder for å utvikle dataanalyseprogrammer på en selvstendig måte. 

F4: Gjennomføre en selvstendig, avgrenset datainnsamling, analyse og evaluering etter etablerte ingeniørprinsipper i tråd med gjeldende forskningsetiske normer. 

Generell kompetanse

G1: Analysere relevante etiske problemstillinger som følger av bruk av data og datautvinning. 

G2: Anvende sine kunnskaper og ferdigheter på nye områder for å gjennomføre avanserte arbeidsoppgaver og prosjekter relatert til databehandling, dataanalyse og optimalisering. 

G3: Formidle resultater av omfattende dataanalyse og utviklingsarbeid, og beherske Data Science-uttrykksformer.

G4: Kommunisere om problemstillinger, analyser og konklusjoner relatert til data-drevet forskning og utvikling, både med spesialister og til allmennheten. 

G5: Bidra til nytenking og i innovasjonsprosesser ved å innføre data-drevet tilnærming. 

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 requirement, documentation requirement and more

Important information

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

Application period: 20 April (only in 2022, 15 April is regular deadline)

(NB! The deadline for applicants who have residency in Norway and have foreign educational backgrounds 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

spørsmål og svar SOS

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.

Watch presentation from Open day, by Tom Ryen.

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

Utvekslingssemester 

3.semester

 

Opplegg for utvekslingen

Vi anbefaler studenter å reise på et utvekslingsopphold i utlandet som en del av studiet. Et utenlandsopphold gir deg mulighet til å tilegne deg en unik kompetanse innenfor ditt fagområde. I tillegg til språkkunnskaper, internasjonal erfaring og økte karrieremuligheter. Studenter bør velge en institusjon som UiS allerede har inngått avtale med for å sikre en best mulig gjennomføring av utvekslingsoppholdet. 

 

I 3. semester på masterprogrammet i robotteknologi og signalbehandling er det lagt til rette for et studieopphold i utlandet. Dette semesteret har 30 studiepoeng med valgemner. I utlandet må du velge fag som gir en tilsvarende fordypning innen ditt fagområde, og disse må være godkjente før du reiser ut. Det er også viktig at emnene du skal ta i utlandet ikke overlapper med emner du alt har tatt eller skal ta senere i studiet. Et tips er å tenke på din spesialisering og ditt interessefelt.

 

Flere muligheter

I tillegg til de faglig anbefalte lærestedene som er listet opp under, har UiS en rekke avtaler med universitet utenfor Europa som er aktuelle for alle studenter på UiS med forbehold om at de finner et relevant fagtilbud. Innen Norden kan alle studenter benytte seg av Nordlys- og Nordtek-nettverkene. Finn ut mer.

 

Kontaktperson 

Veiledning og forhåndsgodkjenning av emner: 

Sheryl Josdal 

 

Generelle spørsmål om utveksling: Utvekslingsveilederen i Digital studentekspedisjon

Student exchange
  • All countries

    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 og er på god vei til målet. Bli med på en del av reisen – bli utvekslingsstudent i Aachen!

    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.

    Grenoble Institute of Technology

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

    Lodz University of Technology

    Do you want to study at one of the best technical universities in Poland? Apply to Lodz University of Technology (TUL) and enjoy a 70 years long tradition and experience in Engineering education!

    Technical University of Munich

    The Technical University of Munich, also known as TUM, accounts for major advancements in the field of natural sciences. TUM is one of the best universities in Germany and has several awarded scientists and Nobel Prize winners. The Technical University of Munich strives for excellent teaching and research quality.

    The University of Adelaide

    Universitetet 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 landet. Universitetet er medlem av Group of Eight, en koalisjon av de åtte ledende universitetene i Australia.

    University of Pisa

    Study at one of Europe's oldest and most prestigious universities - founded as early as 1343.

    University of Twente, Enschede

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

  • Australia

    The University of Adelaide

    Universitetet 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 landet. 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 studer i de franske alper i Frankrikes beste studentby Grenoble!

  • 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 og er på god vei til målet. Bli med på en del av reisen – bli utvekslingsstudent i Aachen!

    Technical University of Munich

    The Technical University of Munich, also known as TUM, accounts for major advancements in the field of natural sciences. TUM is one of the best universities in Germany and has several awarded scientists and Nobel Prize winners. The Technical University of Munich strives for excellent teaching and research quality.

  • Italy

    University of Pisa

    Study at one of Europe's oldest and most prestigious universities - founded as early as 1343.

  • Netherlands

    University of Twente, Enschede

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

  • Poland

    Lodz University of Technology

    Do you want to study at one of the best technical universities in Poland? Apply to Lodz University of Technology (TUL) and enjoy a 70 years long tradition and experience in Engineering education!

  • 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.

Contact

Førstekonsulent
51831747
Faculty of Science and Technology

Faculty Administration TN

Kontor for utdanningsadministrative tjenester
professor
51832061
Faculty of Science and Technology

Department of Electrical Engineering and Computer Science
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

Research in the department is concentrated on these main areas.

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