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Malene Rohde from South Africa was willing to go anywhere in the world for the right postgraduate degree, building on her experience in engineering and finance. But she found exactly what she was looking for at Amsterdam Business School: the MBA in AI, Data & Analytics. The programme’s clear focus on cutting-edge business technology has made her move to the Netherlands more than worthwhile.
Malene Rohde

‘I studied industrial engineering in South Africa, then joined First National Bank in Johannesburg as a business process engineer. After a while, I realised that I wanted to further my education. Because of my background, I was aware of the evolving field of data science, AI and machine learning, and was keen to know more. 

I started looking around, but couldn’t decide between a Master’s in data science, very focused, or something exploring the broader field of data analytics and AI. Then I came across this MBA in Amsterdam. I was willing to go anywhere in the world, but I realised right from the start that this was a good fit for me. And it gave me an opportunity to come to the Netherlands to gain some global work experience and advance my career. 
    
The programme is so unique. I haven’t seen anything else like it, and I searched globally. It really hits that sweet spot where you create practical solutions, but you’re also always thinking about the business side, the legal aspects and so on. That’s so important to end up with impactful outcomes.’

Having now completed the first half of the 2-year part-time programme, beyond the curriculum itself, another aspect has proven just as valuable for Malene. ‘Our group consists of about 20 people, and we’re such a diverse class. First of all, the gender ratio is quite balanced – not exactly 50:50, but nearly so. I think that helps dispel the whole idea that AI and data science are male-dominated. That’s a stereotype we should get away from. I don’t think women are any less inclined to venture into this industry. Really, there’s space for everyone. 

It’s crucial in AI and machine learning that the people building the models be as diverse as possible, so that we have multiple perspectives. Data in itself is not biased, but the people behind it introduce their own biases into the models. In that respect, the diversity of our group has been a really positive contributing factor. The age range is wide, 27-46, and we come from 12 countries on 4 continents. People working in very technical jobs and others in more business-focused roles, in various industries.

In the classroom, we have real and honest discussions about everything. We challenge each other with all our different perspectives. Everyone is so open to sharing their experience, and it’s all taken well. We learn from each other, and I think all of us have discovered different standpoints. There’s never a one-size-fits-all position or solution. And we started out as classmates, but have become friends. These are going to be connections for life.’
 
What about the move to a new country? ‘That was definitely challenging, yet also very rewarding. At first, you don’t know anyone or anything. I felt outside my comfort zone all the time. Even going to the supermarket, I knew nothing. But I can honestly say that the transition happened very quickly. Being part of an international MBA group means that everyone feels the same way. We had that point of connection, which made adjusting much easier. But yes, getting used to a different culture and ways of doing things definitely took some time.

Since it’s a part-time programme, I started applying beforehand for jobs and found one with Rabobank in Utrecht, as a risk model engineer. My studies have complemented that work. It’s great to see how the things I learn during the MBA can add value in industry.

To anyone thinking about this MBA, I would say: just do it. You’ll be glad you did. The world is changing rapidly, with an increase in digital transformations and the use of AI. It’s therefore really important that people equip themselves with skills that will be relevant and required in future. Above all, I would really encourage woman to go for it because there are so many opportunities available, whether you aspire to be a technical expert or a business-focused individual. The world is definitely going to change, so be part of it.’