M.Sc. In Computer Science- Big Data and Artificial Intelligence

Berlin

 

INTAKE: April & Oct

Program Overview

The M.Sc. in Computer Science with a specialization in Big Data and Artificial Intelligence at SRH Berlin University of Applied Sciences offers an in-depth study of cutting-edge technologies related to managing and extracting insights from large datasets, as well as the development and application of AI algorithms.

Curriculum: The curriculum covers foundational courses in computer science along with specialized modules focusing on big data technologies, machine learning, data mining, deep learning, natural language processing, and AI applications. Students delve into programming languages, statistical modeling, and advanced data analytics tools used in the industry.Students engage in practical projects, workshops, and lab sessions, gaining hands-on experience in handling massive datasets, building predictive models, and implementing AI algorithms.

Research Focus: The program encourages research in areas like data science, AI ethics, algorithm development, neural networks, data security, and the societal impacts of AI. Students have the opportunity to explore research projects aligned with their interests under the guidance of experienced faculty members.Access to specialized research tools and methodologies enables students to contribute to the advancement of AI and big data fields through their research initiatives.

Industry Engagement: SRH Berlin University collaborates with tech companies, research institutions, and industry experts, fostering connections that facilitate internships, workshops, guest lectures, and industry projects. Partnerships provide students with practical exposure to real-world applications of big data and AI technologies.Students often work on industry-relevant projects, allowing them to apply their knowledge and gain insights into the practical challenges and opportunities within the industry.

Global Perspective: The program integrates a global perspective by addressing the global implications of big data and AI technologies. Modules cover international trends, ethical considerations, and the diverse applications of these technologies across different industries and cultures.The diverse cohort of students and opportunities for international collaborations enhance the multicultural learning environment, preparing graduates for global roles in the ever-evolving field of big data and AI.

Pollster Education

Location

Berlin

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

Euro 13600

SRH Berlin University of Applied Sciences sets clear and transparent entry requirements for international students, ensuring a fair and accessible admissions process. 

Academic Qualifications: Prospective international students applying for postgraduate programs are typically required to have attained a minimum academic score of 60% or above in their previous educational qualifications. This criterion serves as a benchmark for assessing a student's academic capability for admission consideration.

English Language Proficiency:

  • IELTS Requirements: An overall IELTS score of 6.5 is mandatory for admission to postgraduate programs at SRH Berlin University of Applied Sciences. Additionally, there should be no individual band score less than 5.5 in the IELTS test.
  • TOEFL iBT Requirements: For applicants opting for TOEFL, the minimum overall score required is 89 with no sub-score falling below 17 in each section.            
  • PTE (Pearson Test of English): Overall score of 58 with a minimum of 42.

SRH Berlin University of Applied Sciences provides various scholarships and financial aid options to support international students in their academic pursuits.

1. Diversity Scholarship: This scholarship aims to promote diversity within the student body. It is awarded based on various criteria, including academic excellence, extracurricular activities, and personal background.

2. Social Engagement Scholarship: Awarded to students who have demonstrated significant involvement in social projects, volunteer work, or community service, emphasizing their social causes.

3. Merit-Based Scholarships: SRH Berlin offers scholarships based on academic merit, rewarding outstanding achievements in previous studies or academic records.

4. Need-Based Financial Support: Financial aid options are available to students facing economic challenges, assisting them in managing tuition fees and living expenses.

5. Sports Scholarships: For students excelling in sports, the university offers scholarships to support their athletic endeavors while pursuing higher education.

6. Country-Specific Scholarships: SRH Berlin may provide scholarships tailored to students from specific countries or regions, encouraging international diversity and academic exchange.

Graduates of the M.Sc. in Computer Science with a specialization in Big Data and Artificial Intelligence have a wide array of career opportunities in various sectors leveraging advanced data and AI technologies.

Data Scientist: Graduates can pursue roles as data scientists, analyzing complex datasets, creating predictive models, and extracting valuable insights to drive informed business decisions.

Machine Learning Engineer: Careers in machine learning engineering involve developing and implementing machine learning algorithms and systems, particularly in areas like recommendation systems, natural language processing, or computer vision.

AI Researcher: Graduates can work as AI researchers, conducting advanced research in artificial intelligence, exploring innovative algorithms, and contributing to the development of AI applications.

Big Data Engineer/Architect: Positions as big data engineers or architects involve designing and implementing large-scale data processing systems, managing data pipelines, and ensuring data reliability and scalability.

Business Intelligence Analyst: Careers in business intelligence entail interpreting data to identify market trends, customer behaviors, and providing insights to support strategic business decisions.

AI Ethicist: Graduates can specialize in AI ethics, working on ensuring responsible and ethical AI development, addressing biases, and ethical considerations in AI applications.

Data Analyst: Roles as data analysts involve examining data sets to identify trends, develop visualizations, and generate reports that aid in understanding business performance.

AI Product Manager: Graduates can pursue careers as AI product managers, overseeing the development and launch of AI-powered products and ensuring alignment with market demands.

Cybersecurity Analyst: With the proliferation of data, graduates can specialize in cybersecurity, ensuring the protection of valuable data and systems against potential threats.

AI Consultant: Graduates can work as AI consultants, providing expertise to companies in implementing AI solutions tailored to their business needs.


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