Exceptional faculty research opportunities and strong career support at FAU

Paderborn University

8.5(2 Reviews)

University of Passau

7.7(1 Reviews)

University of Duisburg-Essen

7.9(10 Reviews)

Reason for choosing my college

• FAU has an excellent reputation in Data Science and Engineering, ranking as one of the top technical universities with well-established research facilities and industry connections, a strategic location in Bavaria with excellent career opportunities, and a comprehensive and cutting-edge Data Science curriculum.

Free University of Berlin

5.3(1 Reviews)

Deggendorf Institute of Technology

7.4(10 Reviews)

Reason for Rejection

• High competitive admission process for the Data Science programme, potentially more stringent selection criteria, stronger competition from global applications, potentially lower CGPA/academic scores, limited seats in the specific program.

• Curriculum Vitae (CV) Optimisation: Showcase academic achievements. Include research projects and internships; demonstrate leadership experiences
• Technical Portfolio Enhancements: Include coding projects; highlight programming language proficiencies
• Language Proficiency: Strong English language test scores (IELTS/TOEFL) - German language skills.

• Country selection- Germany:
  • World-renowned education system
  • Strong technological and research infrastructure
  • Excellent opportunities in data science and technology
  • No tuition fees to low-cost higher education
  • Robust industrial ecosystem and innovation culture
• Academic Reputation:
  • Ranked among top technical universities in Germany
  • Strong research-oriented academic environment
  • High employability
• Specific Program Attractions:
  • Comprehensive Data Science curriculum
  • Cutting-edge technological training
  • Interdisciplinary learning approach
• Location Advantages:
  • High quality of student life
  • Proximity to major tech companies
  • Strategic location in Bavaria
• Career Opportunities:
  • Strong industry partnerships
  • High employability in tech sectors
  • International career prospects

• Classes Schedule Details: Classes per week: 14-16 hours. Daily class timings: 8:30 AM- 4:30 PM. Average Class Strength: 25-100 students
• Indian Students in Course : Approximately 20% 
• Additional Study Time: 3 - 4 hours daily for assignments/self-study
• Daily Academic Breakdown: Lecture Hours : 6 - 7 hours Practical/Lab Sessions: 2–3 hours

• Faculty-to-student Ratio : 1: 15 Highly Approachable Professors Strong Industry Connection
• Research: Oriented Teaching Methodology
• Notable Faculty members: Prof. Prof Dr Andreas Maier: who leads the Pattern Recognition chair. His extensive research background and strong industry connections greatly benefit students.

• FAU has fun clubs, sports, and more. The main site is in Erlangen.
• The place has libraries, a gym, a doctor, and a spot to chill. Big events like tech fests, fun fairs, and hackathons.
• Clubs like AI Club, Code team and start-up groups help students. Sports, music, and other skills are also part of life. The mix of work and fun makes FAU a great pick.

• Indian students often work in cafes, restaurants, supermarkets, delivery services and tutoring; their work hours are 20 per week.
• Getting a job can be competitive but manageable through university job portals, networking, and direct applications. On average, students get paid a minimum of 12 euros per hour in non-technical and both technical jobs.

• The university offers TA, RA, and DA roles, which provide students with both financial support and academic exposure.
• Typically, these roles pay around 12–15 euros per hour. Off-campus opportunities include internships, retail jobs, and restaurant jobs with similar pay rates.
• International students can work up to 20 hours per week during the semester and full time during semester breaks.

• FAU has a strong reputation and graduates generally secure jobs within 6 months of completing their degrees.
• The employment rate would be around 75-90%, with salaries ranging from 45,000 to 60,000 euros per year, depending on the industry and experience level. Students find job through career fairs, university job portals, LinkedIn, and company collaborations.

• Students can choose between on-campus and off-campus housing. On campus housing is limited and competitive, with monthly rents ranging from 250 to 400 euros per month.
• Most students prefer off-campus, which costs around 350-500 per month depending on location and facilities.
• Finding accommodation is done through platforms like WG-Gesucht, Immobilieanscout24, and Facebook groups. Some challenges include high demand, limited availability and language barriers when dealing with landlords. It is advisable to start atleast 2-3 months before arrival.