The Accenture Data Science Scholarship is offered to one admitted student in the Barcelona GSE Master's Degree in Data Science. 

The scholarship includes:

  • All tuition fees for the master program
  • Industrial Practicum at the Accenture Analytics Innovation Center during the spring term

Selection criteria:

  • Outstanding academic background
  • Demonstrated interest in working as a data scientist in a consulting firm

Selection process:

  • All Data Science applicants will be considered for the Accenture Data Science Scholarship.
  • Finalists will be contacted with detailed instructions regarding additional materials and steps in the scholarship selection process.

Recipients of the Accenture Data Science Scholarship

Kinga Ritter '18

alumni

"I was always interested in Statistics and Economics, as recovering the reality from data, and understanding the forces forming our surroundings fascinated me. For me, it was essential to apply for a program that not only concentrates on cutting-edge technologies and methodologies but combines this toolkit with an economic framework."

Academic background

  • Bachelor in Accounting and Finance, Corvinus University of Budapest
  • Master in Economics, Central European University

Interview

1. How did you decide to get into the Data Science field?

Before joining the Barcelona GSE, I graduated in Economics at the Central European University, Budapest. I was always interested in Statistics and Economics, as recovering the reality from data, and understanding the forces forming our surroundings fascinated me. My work experience made it clear that there are lots of new challenges in the area of “big data”, and I wanted to engage in these. The Barcelona GSE Data Science Program is an amazing combination of understanding the theory and application of the methods we acquired.

2. As someone with a background in Economics and Finance, do you find it advantageous to do your Master's in Data Science at the Barcelona GSE?

I chose the Barcelona GSE as it uniquely combines social sciences with computing skills. For me, it was essential to apply for a program that not only concentrates on cutting-edge technologies and methodologies but combines this toolkit with an economic framework. The program not only develops my skills, but also creates a bridge between the different fields. Shifting between topics is always hard, and the services and support we receive from the faculty helps to figure out how to continue. After being here for a semester, I find my expectations to be fulfilled. The program not only prepares for a possible research path, but also teaches us to analyze real-life problems later.

3. Before the master's, you worked with data both as a researcher and in the private sector. How were these experiences different? Are there similar challenges between the two?

Doing research and working in the private sphere have a very different nature that is also reflected in their approach to handling data. The two areas have completely altering goals, the problems have different time-spans, urgency and magnitude so they usually use different toolkits as well. However, it is easy to pick similarities as well. My greatest challenge in both spheres was collecting meaningful data and preparing them to a format on which further analysis can be carried out. Interpreting and explaining the results to an audience, the importance of which according to my opinion is underrated, plays an essential role in both of them. Also both in business and academia, I was involved in many discussions about the applications of big data methods, and I think both of them are trying to figure out how to incorporate them in their work process.

4. The Accenture scholarship includes the possibility to conduct your industry practicum with Accenture. How do you anticipate that the Master will prepare you to add value that you may not have been able to do before the program?

During the past couple of months I have already experienced the transformation of my approach to data. I have not only deepened my knowledge in statistical inference, but became more computing-literate and learned many new technologies. I strongly believe that by the end of the program I will be able to carry out analysis on my own and pick the method and technology which is the most appropriate to the problem I am facing. Working with Accenture enables me to apply the newly acquired knowledge and skills on real world problems and combining this with the industry knowledge of the company prepares me for my future career.

Daniel Bestard '17

alumni

"Getting you hands dirty with data analysis makes you realise the hidden power of data. Data is worthless if there is no expert who can clean and analyse it in order to obtain useful information that can ease the decision making process of any institution."

Academic background

  • Bachelor in Economics, UPF
  • International Exchange Program of Statistics, UCLA
  • Master in Statistical Analysis, Ghent University

Read an interview with Daniel Bestard '17