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Data Science

Subjects: Data Science;Science;Technology

M.Sc. | Master of Science

Course description

Today, the science of gaining knowledge and insight from data has advanced so much that it stands as its own field: data science. This discipline merges computer science, mathematics, and various applied subjects you can choose from. The allure of these methods and their significance in business, technology, and research make the role of a data scientist one of the most sought-after jobs today. In data science, you delve into computer science, mastering algorithms and programming. You explore mathematics, focusing on statistics and probability. You also have the freedom to pick from applied subjects that align with your interests and career goals. The fascination with data science stems from its practical applications. Businesses rely on data scientists to make informed decisions. Technology companies use data insights to innovate. Researchers depend on data analysis to validate their findings. Being a data scientist means you are at the forefront of these advancements. You are not just crunching numbers; you are uncovering patterns, predicting trends, and driving progress. This role is not just a job; it鈥檚 a pivotal position in shaping the future. In summary, data science is a dynamic and essential field. It combines computer science, mathematics, and applied subjects, offering a pathway to one of the most exciting careers today.

Application Requirements

Language Requirements

Test of English as a Foreign Language (TOEFL), Internet-based Test/IBT www.ets.org 95 credits Cambridge English: Advanced (CAE) www.cambridgeenglish.org Grade B or higher Cambridge English: Proficiency (CPE) www.cambridgeenglish.org Grade C or higher International English Language Testing System (IELTS) www.ielts.org Band 6.5 or higher English Language Proficiency Report from TU Braunschweig鈥檚 Language Centre. At least two skills at B2 level and two skills at C1 level in the Language Centre鈥檚 English Language Proficiency Report

Qualification Requirements

To enter the consecutive Master鈥檚 degree programme in Data Science, applicants must: a) 1. hold a Bachelor鈥檚 degree or an equivalent qualification in a previous degree programme in data science, computer science, mathematics or a closely related field, awarded either by a German university or by a university in a Bologna signatory state or 2. hold an equivalent qualification from a previous degree programme in data science, computer science, mathematics or a closely related field, awarded by a foreign university; degree equivalency will be assessed according to the recommendations of the Central Office for Foreign Education (http://anabin.kmk.org, in German only), which is part of the Secretariat of the Standing Conference of Ministers of Education and Cultural Affairs

Document Requirements

(2) All copies of diplomas and certificates must be certified. Where originals are not issued in English or German, certified German or English translations must be included. Applications for admission under Paragraph 1, Sentence 2, must include the supporting documents listed below. a) Bachelor's degree certificate or, if this is pending, a certificate listing the student鈥檚 achievements (with credits), total number of credits earned and GPA to date, along with a list of all completed modules (e. g. Diploma Supplement, academic transcript etc.) b) proof of subject-specific qualifications as set out in Section 2, Paragraph 2, e.g. in the form of module descriptions, which must be submitted in the form of a written overview of no more than one page (A4 sized paper, Arial font, font size 10) with attached documents/copies. The applicant is responsible for proving that they have completed the required content in the respective fields as set out in Section 2, Paragraph 2 c) curriculum vitae d) proof of English language proficiency as set out in Section 2, Paragraph 3.