Master's Degree English 2 years · 120 ECTS

Data Science - Master

University of Stavanger · Stavanger, Norway
Official degreeListed in NOKUT
TuitionAsk an advisor
Duration2 years · 120 ECTS
Teaching languagesEnglish
DegreeMaster's Degree
Credits120 ECTS
Programme provider

University of Stavanger

Stavanger, Norway · Accredited programme

University profile
At a glance

Data Science - Master (Master's Degree) is taught at University of Stavanger, Stavanger. It lasts 2 years · 120 ECTS. Taught in English.

Program overview

Data Science students will learn to extract relevant information from a compilation of large datasets from different sources. Data Scientists are the experts needed to understand, apply, and improve data driven methods like machine learning and Artificial intelligence. The ability to create, manage and exploit data has become one of the most important challenges for practitioners in most industries. Students with expertise in Data Science will be highly sought after in the labor market, where they will contribute to the development of smart solutions and digitisation. This 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. This master programme creates opportunities for students from different engineering backgrounds who want to focus more on digitisation and data analysis. You can write your master thesis in collaboration with industry, and participate in innovation and research. UiS has a strong research focus on analysis of large datasets, Cloud solutions, and machine learning.

CityStavanger
Credit load120 ECTS

Admission requirements

Who can apply to this programme.

  • A Bachelor's degree in engineering or equivalent is required. The degree must include at least: 10 ECTS credits in programming + 10 ECTS informatics/computer science The equivalent of 25 ECTS credits in mathematics, 5 ECTS credits in statistics and 7,5 ECTS credits in Physics. In case programming and computer engineering subjects cannot be confirmed through the The Bologna Process Framework for Learning Outcomes, at least 50 credits in programming and computer engineering subjects will be required. If you completed your degree which is not confirmed throught the Bologna Process, a minimum of 50 credits in programming and computer engineering subjects is required. If you have completed studies/courses outside the University of Stavanger, you must upload course descriptions that have clearly defined curriculum (learning outcomes). 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.

Language requirements

Taught in English.

EnglishMain teaching language
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Required documents

A typical checklist for this degree level. Your advisor gives you the final list.

Passport or national identity document
Previous diploma or graduation certificate
Academic transcript
Proof of the teaching language, when the programme asks for it
Completed application form and a recent photo
CV and motivation letter
Recognition or equivalence of your degree, when the programme asks for it

Accreditation

The central catalogue records this programme as accredited.

Application journey

1Choose the programme

Review the verified facts and the requirements for this degree level.

2Check eligibility

SIT Connect reviews your education and language background.

3Prepare documents

Gather the documents in the list above.

4Send an application request

Send your details now. SIT Connect tells you when the next intake opens, before you formally apply.

Frequently asked questions

How long is Data Science - Master?

The official catalogue lists a duration of 2 years · 120 ECTS and 120 ECTS.

Which languages is Data Science - Master taught in?

Taught in English.

What is the tuition fee?

The tuition for this programme is not published yet. An advisor can tell you the current fee.

Can I apply now?

There is no active intake for this programme.

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