
University of Hildesheim

Sohag
,Germany

Program Name
Master of Science in Data Analytics

Deadline
December 15th, 2023
Overview

The Master of Science in Data Analytics at University of Hildesheim is meticulously designed to equip students with the robust analytical skills necessary to thrive in the rapidly evolving field of data science and business intelligence. This comprehensive program provides a vibrant and engaging learning environment where students can explore various aspects of data analytics, from **applied statistics** and **data visualization** to advanced **machine learning** techniques. As industries increasingly rely on data-driven decision-making, our program aims to produce highly skilled professionals who can adeptly interpret and manipulate data to foster innovation and improvement across diverse sectors.
Throughout this program, students will delve deep into essential concepts related to **database management**, **data mining**, and **predictive analytics**. The curriculum is designed to balance theoretical knowledge with practical experience, ensuring that graduates are well-prepared for the challenges of real-world applications. Courses such as **Data Preparation**, **Data Mining Techniques**, and **Business Intelligence** are integral to the student's learning journey, allowing them to cultivate a well-rounded skill set essential for data-driven roles.
The unique curriculum is complemented by the faculty’s extensive expertise in various fields of data science. Our professors bring a wealth of experience from both academia and industry, providing students with insights that bridge theory and practice. Their teaching methodologies emphasize collaborative learning, critical thinking, and problem-solving, encouraging students to engage actively with the content and pursue innovative solutions to complex data challenges.
In addition to the rigorous academic framework, the University of Hildesheim fosters an environment rich in research opportunities. Students are encouraged to participate in ongoing research projects and collaborate with faculty on cutting-edge data analytics studies. Access to state-of-the-art laboratories, specialized software, and research centers positions students at the forefront of advancements in data science. Moreover, partnerships with leading tech companies provide students with the chance to apply their knowledge in real-world scenarios, enhancing their understanding and bolstering their resumes.
The industry connections and internship possibilities available through the program are a significant advantage for students. The university has established strong ties with various organizations across sectors such as finance, healthcare, and technology, which facilitates internship placements and job opportunities after graduation. By engaging with industry professionals and participating in internships, students gain invaluable insights into the workings of the business world and the role of data analytics in shaping strategic decisions.
Graduates of the Master of Science in Data Analytics program can expect a promising career trajectory across various domains. The analytical skills and technical knowledge acquired during the program equip graduates for roles such as **Data Scientist**, **Data Engineer**, **Machine Learning Engineer**, and **Business Analyst**. With an average starting salary of around 50,000 euros per year, graduates are well-positioned to capitalize on the demand for data professionals in today’s job market.
Alumni of the University of Hildesheim have gone on to achieve remarkable success in their careers, contributing to notable advancements within their respective fields. Many alumni have shared their experiences of how the program's comprehensive curriculum and experiential learning opportunities enabled them to transition smoothly into high-demand roles. Their testimonials reflect the program's effectiveness in fostering both professional growth and personal development.
Why Study Master of Science in Data Analytics at University of Hildesheim
- Comprehensive Curriculum: The program covers crucial aspects of data analytics, ensuring students have a well-rounded understanding of the field.
- Expert Faculty: Learn from experienced professors who have significant industry and research backgrounds in data science.
- Research Opportunities: Engage in innovative research projects that deepen your understanding and application of data analytics.
- Strong Industry Connections: Benefit from established partnerships with leading companies that provide internship and job placement opportunities.
- Promising Career Pathways: Graduates are well-rounded professionals ready to enter a job market with a high demand for data analytics skills.
- Diverse Career Outcomes: Take on various roles including Data Scientist, Data Engineer, Business Analyst, and more.
- International Diversity: Study among a diverse group of students, enhancing your global perspective and networking opportunities.
To be eligible for the Master of Science in Data Analytics program, prospective students must hold a bachelor's degree in a relevant field, such as computer science, mathematics, or business analytics. Furthermore, proficiency in English is essential, with a minimum IELTS score of 6.0 or a TOEFL score of 61. Applicants are also required to submit their academic transcripts, a resume, and an academic letter of recommendation as part of the application process.
The application deadlines for the program are as follows: for the winter intake, applications must be submitted by June 30, 2023, and for the summer intake, the deadline is December 15, 2023. Students are encouraged to apply early to secure their place in this sought-after program.
In conclusion, the Master of Science in Data Analytics at University of Hildesheim is an exceptional opportunity for individuals aiming to make a significant impact in the field of data science. With a robust curriculum, dedicated faculty, and strong industry connections, students will emerge from the program ready to tackle the complexities of data analytics in today’s digital landscape.

Duration
24 Months

Median Salary
$45,000

Intake
Summer ( July - Sept )

Intake
Winter ( Jan - Mar )
Class Profile

Class Size
25

Average Age
24

Average Work Experience
1 Years
Diversity
North America:
5%Africa:
1%Others:
2%Asia:
10%South America:
2%Europe:
20%Germany:
70%Career Outcomes

Median Earnings After Graduation
$45,000 / year
Prospective Job Roles
Statistician
Data Engineer
Data Visualization Specialist
Software Engineer
Research Scientist
Machine Learning Engineer
Marketing Analyst
Database Administrator
Data Analyst
Financial Analyst
Quantitative Analyst
Risk Analyst
Data Scientist
Business Analyst
Data Architect
Actuary
Analyst
Operations Research Analyst
Top recruiters
















Eligibility Criteria
English Proficiency Tests
IELTS
6
TOEFL
61
Application Requirements
Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.
Transcript
Academic LOR
Resume
Application Deadlines
Standard Deadline | |
---|---|
Winter | Jun 30, 2023 |
Summer | Dec 15, 2023 |
Fees and Funding
Funding Options
External Sources - Scholarships
Department Funding
Scholarships
Hildesheim University Scholarship
Hildesheim University Alumni Scholarship
Hildesheim University International Scholarship
FAQs
A student can complete Data Analytics at University of Hildesheim with in 24.
The deadline to submit an admission application for Data Analytics at University of Hildesheim is Application deadline Winter (Standard Deadline) - date - 30/06/2023 ,Application deadline Summer (Standard Deadline) - date - 15/12/2023
The Data Analytics at University of Hildesheim has 4 semesters.
The submission of these scores mainly depends on the type of degree/ course selected at the University of Hildesheim. For example, the GMAT test is required to take admission to an abroad graduate management program, the LSAT is required during an abroad Law School admission process, and more. Therefore, check University of Hildesheim requirements before submitting a score.
Data Analytics can help Indian/ international students gain: 1. Quality and Practical Education 2. Global Recognition 3. International Exposure 4. Amazing Job Opportunities 5. Experience of Lifetime and more
If a student fulfils all the eligibility criteria and admission requirements of University of Hildesheim, they can easily pursue Data Analytics. The basic eligibility criteria include the following: 1. A GPA above 3 2. Well-written Statement of Purpose 3. An impressive Letter of Recommendation 4. A Work Experience Certificate (if required) 5. A Statement of Financial Proof 6. Academic Transcripts 7. Valid Visa, etc.
An MS degree at University of Hildesheim can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official University of Hildesheim website to check the course/ degree duration.
One can apply for scholarships to pursue their international education at University of Hildesheim by: 1. Looking for country-specific scholarships by contacting the specific scholarship institutions. 2. Applying to or finding out if any subject-specific scholarships are available from the university website/ department.
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