I nostri testimonials: Omid - Iran

Student of Complex and Data Driven Chemistry

"Choosing Padua felt like choosing a place where I could grow academically, professionally, and personally"

About myself 

I'm originally from Tehran, Iran, and I'm currently pursuing a Master's in Complex and Data‑Driven Chemistry at the University of Padua. My background is in Applied Chemistry, and over time I've become deeply interested in areas such as drug design, drug delivery, biological and physical chemistry, and the growing role of AI and machine learning in scientific research.

      Why did you choose the University of Padua and our degree programme in Complex and Data Driven Chemistry? How did you learn about our institution?   

I chose the University of Padua because it offered exactly the kind of academic environment I was looking for: a place where tradition and innovation coexist. Coming from a background in Applied Chemistry, I wanted to deepen my understanding of modern computational and data driven approaches that are transforming the chemical sciences. When I discovered the Master’s in Complex and Data Driven Chemistry, it immediately stood out as a unique and forward looking programme that aligned perfectly with my interests in drug design, drug delivery, physical chemistry, and the growing role of AI in scientific research.
I first learned about the University of Padua through academic networks, international rankings, and recommendations from professors who highlighted Padua’s strong reputation in both chemistry and interdisciplinary research. The more I explored the programme, the more I realized how well it matched my goals: a curriculum that integrates chemistry, data science, machine learning, and computational modeling, taught at one of Europe’s oldest and most respected universities. Choosing Padua felt like choosing a place where I could grow academically, professionally, and personally.

      What are the main features of your degree programme?   

The Master’s in Complex and Data Driven Chemistry is highly interdisciplinary, combining traditional chemical knowledge with modern computational and data centric tools. Some of its main features include:
• Integration of chemistry with data science - Students learn how to apply machine learning, statistical modeling, and computational simulations to chemical problems.
• Hands on computational training - Many courses include practical coding sessions, algorithm development, and real world data analysis.
• Research oriented teaching - Professors actively involved in cutting edge research bring current scientific challenges directly into the classroom.
• Interdisciplinary collaboration - The programme encourages teamwork across chemistry, physics, materials science, and computer science.
• Strong connection to industry and research centers - Students gain exposure to real applications, internships, and potential career paths.
• Focus on innovation - The curriculum prepares students for emerging fields such as AI driven drug discovery, computational materials design, and predictive modeling.
Overall, the programme equips students with both the chemical intuition and the computational skills needed to thrive in modern scientific environments.

      Is there any class/subject that has stood out to you so far?   

Several courses have been impactful, but one that truly stood out to me is Machine Learning for Chemistry. It was the first time I saw how algorithms, data patterns, and predictive models could directly support chemical research. The course bridged two worlds I care deeply about: chemistry and artificial intelligence. I also found Computational Chemistry particularly inspiring. It provided a strong foundation in molecular modeling, simulations, and quantum‑chemical methods, helping me understand how theoretical tools can complement experimental work. These subjects not only strengthened my technical skills but also shaped the way I think about scientific problems - more analytically, more creatively, and with a deeper appreciation for the power of data.

      What advice would you give to prospective students when it comes to preparing a successful application?   

My main advice is:
• Show genuine motivation. Explain clearly why you’re interested in data driven chemistry and how your background connects to the programme.
• Highlight interdisciplinary curiosity. The programme values students who are open to learning coding, statistics, and computational methods alongside chemistry.
• Strengthen your programming basics. Even a little experience with Python or R can make your transition much smoother.
• Demonstrate academic readiness. Good grades in chemistry, physics, or mathematics help show that you can handle the programme’s scientific rigor.
• Prepare your documents early. International applications require time, especially for visas and translations.
• Be authentic. The admissions committee appreciates clarity, honesty, and a clear sense of purpose.
A strong application is one that shows both your potential and your enthusiasm for this emerging field.

      What advice would you give to students thinking of studying in Italy?   

Studying in Italy is a wonderful experience, but it comes with practical steps that students should be prepared for:
• Start your visa process early. Gathering documents and scheduling appointments can take time.
• Apply for your permesso di soggiorno (residence permit) within 8 days of arrival. This is essential for staying legally in Italy.
• Learn some basic Italian. Even though many people speak English, knowing Italian helps enormously with daily life and bureaucracy.
• Understand the healthcare options. Many students register with the Italian National Health Service (SSN) for affordable and reliable coverage.
• Be patient with bureaucracy. Things may take longer than expected, but the university’s international office is very helpful.
• Embrace the culture. Italy offers incredible food, history, and lifestyle - studying here is as much a cultural experience as an academic one.
With preparation and an open mind, studying in Italy becomes a deeply rewarding journey.

      What do you do when you’re not studying? How do you like to spend your free time?   

When I’m not studying, I usually play guitar, sing. I also enjoy exploring Padua’s beautiful streets, historical sites, and lively piazzas. The city has a warm, student friendly atmosphere, so it’s easy to find places to relax or meet friends. I often spend time in cafés, parks, or the botanical garden, and I enjoy taking short trips to nearby cities like Venice or Verona.
I also like staying active - walking, cycling, or simply enjoying the outdoors. And of course, Italy’s food culture is a big part of the experience, so trying new restaurants or cooking with friends has become one of my favorite ways to unwind.
Balancing study with social life, culture, and personal interests has made my time in Padua both productive and enjoyable.