Distance Master's Programme in Decision analysis and Data science

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Introduction

We run into decision problems almost everywhere, and a proper handling of them is fundamental for a well-functioning society. Decisions that are not thought through and made by gut feeling often lead to unfavourable consequences. In this programme you will learn how to handle decision situations in a systematic way so that preferred consequences are probable. You will be made familiar with all the stages in decision making, from selecting, gathering and processing background information, structuring of the problem and assessing the consequences to making the actual decision based on rational principles. Programme outline The programme has two tracks: data science or decision and risk analysis. In the first year you will learn about both subject areas and in the second year you will specialise in either one. The data science track covers how to extract knowledge from data by, for example, machine learning, big data analytics, data mining and time series. In terms of the decision making process, this is the beginning, where the bases for decisions are found. The decision and risk analysis track focuses on the later stages such as finding, evaluating and choosing alternatives but also how to deal with uncertain factors such as subjective values and future outcomes. You will also learn to spot the difference between rational and irrational arguments for decisions. Career After having completed the programme you will be qualified to assess and handle risks as well as form strategies. Moreover, you will be able to provide decision makers with well-founded advice in tricky situations. Apart from academia and Ph.D. studies, graduates may pursue careers in a variety of organisations such as large and mid-size corporations, banks and financial institutes, public sector agencies and non-governmental organisations. More information about the programme Credits: 120Study pace: 100%Language: EnglishStudy form: DistanceDuration: 2 yearsBegins: Autumn Read more about this programme on our website http://dsv.su.se/SBDSO Qualification requirement A Bachelor’s degree or a degree equal to 180 credits including an essay project of at least 15 credits or equivalent. A minimum of 15 credits within programming or mathematics. Language proficiency Swedish upper secondary school course English B or: IELTS (International English Language Testing Service)- Academic Module: Overall minimum score of 6.5 (with no section below 5.5). TOEFL (Test of English as a Foreign Language) Paper Based: Overall minimum score of 575 (with minimum score 4.5 in the written test) Internet-based: Overall minimum score of 90 (with minimum score 20 in the written test) University of Cambridge and Oxford: Certificate in Advanced English or Diploma of English Studies Selection The selection of students is based on grades of academic courses. This means that you don’t submit recommendation letters or motivation letter when applying to this specific programme. Application The application is done online at: www.universityadmissions.se Note! Application deadline for all applicants is January 15th.

About the School

Stockholm University, Department of Computer and System Sciences (DSV)

Stockholm University is among the top 100 universities in Europe and is one of the largest universities in Scandinavia. The Department of Computer and Systems Sciences (DSV) is part of the Faculty of Social Sciences at Stockholm University and has a strong partnership with The Royal Institute of Technology (KTH). DSV puts great emphasis on providing quality university education through its excellent faculty and its innovative learning environment. Read Less

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Distance Master's Programme in Decision analysis and Data science

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About the School

Stockholm University, Department of Computer and System Sciences (DSV)

Stockholm University, Department of Computer and System Sciences (DSV)

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