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• In today's globalized business world, the ability to extract and analyze relevant information from large volumes of complex data provides a competitive edge to businesses in every market. In industry, there is a huge demand of skilled employees with strong analytical skills and command of current analytical technology to process this huge data into meaningful business information, cross-trained in the respective application domain for better collaboration in interdisciplinary teams.
• The International Master's Program in Data Analytics combines both, a deep and thorough introduction to cutting edge research in Machine learning, Big Data and analytical technology and complementary training in selected application domains.
• Data Analytics will provide students the knowledge and skills required for modeling and analysis of complex systems in application domains from business such as marketing and logistics as well as from science such as computer science and environmental science based on modern state-of-the-art Machine Learning methods.
• The program is designed and taught in close collaboration of experienced faculty and experts in machine learning and selected application domains.
• The Data Analytics program combines complex mathematical and statistical models and methods from machine learning with problems from an application domain using tools and techniques for processing Big Data.
• The programs is structured in a way that it builds on the core data modeling and data analytics knowledge with application on the large volume of real-world data using modern big data technologies such as the Apache Hadoop, Apache Spark, NoSQL etc.
• All participants of the program will get hands on experience of handling large scale real-world data on a state-of the art compute cluster and Amazon Web Services (AWS) Cloud Services.

• Winter semesters begins in October. • Summer semester begins in March/April. • Students requiring visa must apply accordingly.

The two year Master Program in Data Analytics comprises four semesters with a total of 120 CPs (credit points). Contentwise, the study program is structured into a methodological core (65%), an application area (10%) and a master’s thesis (25%).

• Program Structure for Winter Intake
• Program Structure for Summer Intake

• The Master's programme in Data Analytics is highly relevant for students aiming to pursue careers in research in an interdisciplinary field, data analytics, or a related industry.
• Students with a Bachelor's degree in Computer Science, Information Technology, Mathematics, or related fields are eligible to apply.
• Generally, students with a strong analytical, mathematical, and statistical base and good programming skills are more suited for this programme.
• Eligible admissions are prioritised according to the following criteria: overall mark of your Bachelor's (53%) amount and marks of Bachelor's courses related to Data Analytics (incl. mathematics and programming, 35%) prior research activities in data analytics (6%) prior practical activities in data analytics (6%)

• English language proficiency is required to undertake the International Master's programme in Data Analytics.
• Sufficient knowledge of English can be demonstrated by a certificate (TOEFL computer-based test score of 61 or above; IELTS band of 6 or above; or an equivalent certificate) or a German "Abitur".

• Application form
• Curriculum Vitae
• Educational Documents (transcripts/Mark sheets)
• Motivation letter
• Language proficiency certificate
• Work experience letter
• APS certificate for Chinese & Vietnamese applicants etc.
  Note: List of documents may change from time to time, please check on Course Website.

• Non-EU applicants:
  30 June for the following winter semester
  15 December for the following summer semester
• EU applicants:
  31 August for the following winter semester 
  ???????15 February for the following summer semester

Please refer this Link, for more information.

• Yes, Finding a part time employment is possible once you arrive in Germany. If you speak German, then it gets easy for you.
• You are permitted to work for certain number of hours e.g.20 hours/week with a valid study permit.
• Please check on your visa document, it is mentioned on it.

Please check with university after you get an admission.

• If you want to study in selected areas of science in a personal atmosphere and value both a good academic degree and a strong practical relevance, the University of Hildesheim is the right place to study.
• The university currently has over 8,700 students. Around 90 professors, around 470 scientists and over 270 people in administration, in the library and in technology work at the foundation university. The University of Hildesheim attaches particular importance to individual support.
• The range of subjects is organized into four subject areas: "Education and Social Sciences", "Cultural Studies and Aesthetic Communication", "Linguistics and Information Sciences" and "Mathematics, Natural Sciences, Economics and Computer Science". 
• Interdisciplinary centers, graduate schools and endowed professorships strengthen scientific research. Study commissions guarantee that students participate in quality management and in the further development of studies and teaching.
• The mission statement of the University of Hildesheim Foundation also includes special support for high-performing students. 50 scholarships within the framework of the Minerva College and another 50 Lore Auerbach scholarships are awarded. 
• The study grants support particularly committed students. The social fund provides students with unbureaucratic help in acute emergencies. 
• With over 560 student assistant positions, a wide variety of jobs are offered on campus. The mission statement of the University of Hildesheim is therefore succinctly summarized in three terms: profile university, foundation university and student university.