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QS Rank:

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561

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Braunschweig University of Technology

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Lower Saxony

Germany

The MSc in Computational Sciences in Engineering at Braunschweig University of Technology is a carefully curated program designed to equip students with advanced knowledge and skills in the ever-evolving domains of computational science and engineering. This rigorous 24-month degree program combines theoretical foundations with practical applications, ensuring that graduates possess a robust understanding of computational methodologies relevant to real-world engineering challenges. The curriculum emphasizes critical thinking, innovative problem-solving, and the application of advanced computational tools, preparing students for impactful careers in industry and academia.

Students enrolled in this program will delve into a variety of specialized courses that cover essential topics such as numerical methods, data analysis, computational fluid dynamics, and machine learning. The program's curriculum is designed to adapt to the fast-paced advancements in technology and engineering, allowing students to engage with the latest trends and innovations in computational sciences. Additionally, students will have the opportunity to work on hands-on projects, enhancing their learning experience through practical exercises that mimic real-life engineering problems.

At the heart of the program is a commitment to research excellence. Braunschweig University of Technology boasts a world-class faculty with extensive expertise in their respective fields. Faculty members are not only dedicated educators but also active researchers, many of whom collaborate with industry leaders and governmental organizations. This dual role enriches the academic environment, fostering a culture of inquiry and innovation. Students can benefit from faculty mentorship, engaging in collaborative research projects that may lead to published works or patents, thus enhancing their academic credentials and professional profiles.

The program also places a strong emphasis on industry connections and practical experience through internships and collaborative projects with leading companies in the sector. With a network of partnerships spanning various industries, students have access to valuable internship opportunities that allow them to apply their knowledge and skills in real-world settings. These experiences not only enrich students' learning but also enhance their employability upon graduation in a competitive job market.

Upon completion of the program, graduates are well-equipped to pursue diverse career pathways. The program prepares students for roles such as Product Manager, Software Engineer, UI/UX Designer, Systems Administrator, Cybersecurity Engineer, Data Scientist, and IT Project Manager, among others. With a median base salary of approximately €69,529, graduates can look forward to lucrative career prospects in various sectors, including technology, finance, healthcare, and consulting. The program’s strong focus on practical skills and research ensures that graduates are highly sought after by employers.

Furthermore, the success stories of alumni from the MSc in Computational Sciences in Engineering program underline the program's effectiveness. Numerous graduates have gone on to secure prestigious positions in top-tier companies and research institutions worldwide. Their testimonials speak volumes about the quality of education and the transformative experience provided by the university. Alumni often return to share their experiences, providing current students with invaluable insights into the job market and career development strategies.

Each component of the program, from the comprehensive curriculum to the hands-on research opportunities, is meticulously crafted to provide students with a holistic educational experience. The MSc in Computational Sciences in Engineering is not just about gaining knowledge; it is about developing skills that will empower students to become leaders in their fields.

Why Study Computational Sciences in Engineering at Braunschweig University of Technology:

  • A comprehensive curriculum that integrates theoretical knowledge with practical applications in computational science.
  • Access to highly qualified faculty members who are leaders in their fields, providing mentorship and research opportunities.
  • State-of-the-art laboratories and resources that support innovative and impactful research.
  • Strong ties with industry partners, facilitating internships and job placements for graduates.
  • A diverse international student body, fostering a collaborative and inclusive educational environment.
  • High graduate employability rate thanks to a focus on practical skills and industry-relevant knowledge.
  • Alumni success stories that highlight the program’s effectiveness in launching successful careers.

To apply for the MSc in Computational Sciences in Engineering, prospective students must meet specific requirements. Applicants should possess a recognized undergraduate degree in a related field, such as engineering, mathematics, or computer science. The application process also includes submitting the following documents:

  • A completed application form.
  • Official transcripts from previous academic institutions.
  • A statement of purpose outlining the applicant’s motivation and goals.
  • A resume detailing relevant academic and professional experiences.
  • Proof of English proficiency through IELTS (minimum score of 6.5) or TOEFL (minimum score of 79).

With application deadlines set for May 31st for the Winter intake and December 15th for the Summer intake, prospective students are encouraged to prepare their applications early to ensure a smooth submission process. The program not only offers a solid academic foundation but also an immersive experience that prepares graduates to thrive in a rapidly changing world. Choose the MSc in Computational Sciences in Engineering at Braunschweig University of Technology and embark on a journey of knowledge, innovation, and achievement.

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Duration

24 Months

Ranking

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#729

US World and News Report

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#561

QS World University Rankings

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Intake

Winter ( Jan - Mar )

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Intake

Summer ( July - Sept )

Class Profile

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Class Size

20

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Average Age

20

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Average Work Experience

1 Years

Diversity

Europe:

10%

Africa:

1%

Others:

1%

Germany:

80%

Asia:

5%

North America:

2%

South America:

1%

Career Outcomes

Prospective Job Roles

Product Manager

Software Engineer

UI/UX Designer

Systems Administrator

Cybersecurity Engineer

UI Designer

Data Scientist

Business Analyst

IT Project Manager

Machine Learning Engineer

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • IELTS

    6.5

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  • TOEFL

    79

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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.

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Application Fee: 70

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    Transcript

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    Passport

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    Statement of Purpose

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    Resume

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    IELTS

  • intake

    Provisional Certificate

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    Degree Certificate

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    General LOR

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    General LOR

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    Semester wise Marksheet

Application Deadlines

Standard Deadline
WinterMay 31, 2025
SummerDec 15, 2024

Fees and Funding

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Overall Cost

$18,408 / year

Funding Options

Department Funding

External Sources - Scholarships

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