Data Analytics (M.Sc.)

• Bachelor’s degree in Computer Science, information technology, mathematics, statistics, data science, AI, or data analytics, or an equivalent degree programme in a related field
• Strong analytical, mathematical, and statistics competences, as well as good programming skills
• Sufficient English proficiency is required for the Degree Programme. This can be demonstrated by a certificate (TOEFL Computer-based Test – min. 61 points, IELTS – min. 6, or an equivalent certificate) or a German high school diploma. If you previously studied in English, a document from the respective university is required certifying that the program was conducted entirely in English. This document must be stamped and signed by the university.

Further information on admission requirements can be found at the following link (electronic bulletin): Admission and Enrollment Regulations

The International Master’s degree programme in Data Analytics is accredited by ACQUIN. 

Application for Admission
The international Data Analytics (M.Sc.) program currently has limited enrollment, which means that you must apply for admission. Applications and admissions are processed exclusively through the Faculty 4 application portal.

Admission Criteria
Admission is based on the following criteria:

• Overall Grade of your bachelor’s degree (53%),
• Number and grades of bachelor’s courses in the field of Data Analytics (including mathematics and programming, 35%),
• Previous research activities in the field of Data Analytics (6%)
• Previous practical experience in the field of Data Analytics (6%)

Application
Documents The following documents are required to apply for admission to the international Master’s degree programme in Data Analytics:

• Copy of your Bachelor’s, Master’s, or diploma certificate, including a transcript of grades (all documents must be in English or accompanied by an English translation)
• Language certificate for English (or equivalent)
• Resume
• If the Bachelor’s degree was earned in one of the following countries, please upload the APS certificate in one of the sections for English language certificates (we do not yet have a separate section for the APS certificate): China (excluding Hong Kong and Macao), Vietnam, Mongolia, India
   

Once you have received your admission letter, there are just a few steps left to complete your enrollment. The letter contains all the important information, including the enrollment deadline, a list of required documents, bank account details for paying the semester fee, and contact information for any questions you may have.
IMPORTANT: You must include your application number in all correspondence.

Further information on enrollment and the enrollment process

There are no tuition fees at German universities; only the so-called social contributions are paid as a semester fee. For more information, please visit the following link in our FAQ section: FAQ – Frequently Asked Questions

Applications must be submitted via a formal application for admission. You can find the application form and further information at the following link under the section "Changing Universities": Change of Major, Change of University & Second Degree
 

CampusCenter
The CampusCenter is the first point of contact for students and prospective students regarding all aspects of the university and academic life. The student staff at the CampusCenter can be found on the main campus of the University of Hildesheim in the Forum, 1st floor. 

Central Student Advisory Service (ZSB)
The Central Student Advisory Service offers a wide range of information and events related to Degree Programs as well as academic guidance. 

• Counseling Services Offered by the Central Student Counseling Service (ZSB)
• Events offered by the Central Student Advisory Service (ZSB) 

Academic Advising and Credit Transfer Counseling:
The Academic Advising Office answers specific questions about the structure and content of your degree program; the Credit Transfer Counseling Office answers questions regarding credit transfer:

• Academic Advising
   

There are plenty of good reasons to choose to study in Hildesheim—here are four of them:

• Located in the heart of Lower Saxony, the university is a manageable size with a current enrollment of 8,000 students. This allows for a personalized learning experience.
• Hildesheim offers a rich cultural scene that is recognized even beyond the region. Students can access these offerings at a particularly affordable price through the Culture Ticket.
• With over 170 international partnerships, the University of Hildesheim offers you a view beyond Hildesheim’s borders.
• The University of Hildesheim supports you throughout all phases of your studies with a wide range of services and counseling options. When choosing a program, take advantage of our trial study program “Studium Live,” organized by the student counseling service Anker-Peers, or the University Information Day. At the start of your studies, you’ll begin alongside all other first-year students during the orientation week.

For more information, please visit the following link: Campus Life
 

The two-year Master’s degree programme “Data Analytics – Fundamental Track” spans four semesters and comprises a total of 120 credit points (CP). In terms of content, the program is divided into a core methodology component (65%), an applied component (10%), and a Master’s thesis (25%). The program structure varies depending on whether the program begins in the summer or winter semester. Please note: “Method Specialization” and “Application” are placeholders; students can select courses from the available module catalog based on their interests.

• “Data Analytics – Fundamental Track” | at least 72 CP
  (6 lectures, 2 exercises, 3 seminars, and 3 project units in the areas of Machine Learning, Data Science, Data Analytics, Optimization Techniques, Planning and Optimal Control, and Data and Privacy Protection | typically 6 CP each)
• “Method Specialization” | at least 6 credits
  (the “Method Specialization” unit can be selected individually from the module catalog)
• “Application” | 12 CP
  (the two “Application” units in a given area can be selected individually according to the module handbook | typically 6 CP each)
• Final Examination worth 30 CP
  (Master’s thesis 27 CP and final colloquium 3 CP)

For detailed requirements and the currently available courses, please refer to the Master’s Examination Regulations and the Data Analytics (M.Sc.) Module Handbook

In the elective track, students may choose courses in Computer Science, Business Administration, Information Science, Computational Linguistics, and other fields explicitly designated as electives in the course catalog, as well as modules explicitly listed as soft skills in the course catalog. This allows for specialization in the following areas, among others:

• Computer Science/Software Engineering
• Business Administration and Information Systems
• Information Retrieval and Information Science
• Natural Language Processing
• Environmental Sciences
• Psychology
   

Study or internship experiences abroad provide a valuable addition to your academic program and can be flexibly integrated into your course of study. The European Union’s ERASMUS program promotes student exchange across Europe. In addition, we have partnerships with other international universities that facilitate study abroad opportunities. It is also possible to arrange a study placement abroad independently.

Detailed information can be found at the following links: 

• Faculty 4: Coordinators for Study Abroad and ERASMUS
• International Office: Pathways Abroad
   

Note: The versions of the regulations published in the University of Hildesheim’s Official Gazette are legally binding.

You can download the study and examination regulations for the Master’s degree programme in Data Analytics (M.Sc.) at the following link (Faculty 4): Regulations for International Master’s Degree Programs
 

The Master’s degree programme in Data Analytics (M.Sc.) is housed in Faculty 4: Mathematics, Natural Sciences & Computer Science. This faculty comprises a total of seven institutes, most of which are located on the Samelson Campus, within walking distance of the main campus.

For more information, please visit the department’s website via the following links: 

• Page for Prospective Students 
• About Faculty 4
   

Does the international Master’s degree programme in Data Analytics (M.Sc.) sound exciting, but isn’t quite the right fit? The international Master’s degree programme in Software Engineering (M.Sc.) offers an attractive alternative—depending on your individual interests and career goals:

• Software Engineering (M.Sc.): The focus is on the development and design of complex information systems as well as the processing of large amounts of data. The program is particularly aimed at individuals who wish to acquire methodological and algorithmic competences at an engineering level and specifically expand their existing programming knowledge. Core competencies are taught at both the technical and methodological levels—ranging from programming-related aspects to advanced analysis and design techniques, and extending to the coordination of large-scale software development projects. Thanks to the flexible elective options, graduates are able to set individual focuses, for example in the areas of machine learning, natural language processing, business administration and information systems, or environmental sciences.
   

The Master's degree in Data Analytics qualifies students for the following- exemplary - professional fields:

• Data Scientist
• Big Data Engineer
• Business Consultants
• Business Intelligence Analyst

Our graduates work in these areas in a wide variety of application fields and conduct research in data analytics and machine learning on challenging topics.

Scientific work and the teaching of the underlying skills are an integral part of the Master's degree program. Students have the opportunity to participate in research projects during their studies, so that a successful career in research and science can already be embarked upon during the Master's degree.

A follow-up doctoral degree at the Institute of Computer Science offers a wide range of opportunities for independent scientific work and innovative research.
Anyone considering a  doctoral degree will find excellent conditions and individual support at Faculty 4 of the University of Hildesheim.

Detailed information on doctoral studies, the application process and advice and support services are available on the websites of Faculty 4 and the Graduate Center of the University of Hildesheim:

• Graduate Center University of Hildesheim
• Doctoral Degree at Faculty 4

The Career Service of the Central Student Advisory Service provides support on the path from studying to working. It's worth taking a look at the job exchange: job advertisements for students and graduates are published here:

Career Service ZSB job board