- are interested in data science, statistics, programming, and business decision-making.
- want to know…
- how to use data to solve business problems,
- how to apply cutting-edge analytical methods and tools,
- how to communicate results effectively and persuasively.
- would like to gain knowledge and skills that are in high demand in the job market and that will help you in your future career.
- you want the knowledge that will enable you to…
- identify business opportunities that require data-driven solutions,
- bridge the gap between business problems and analytical models,
- demonstrate professionalism in data analytics and data analysis tools,
- develop data-driven solutions to support decision making in real business situations.
Having a degree in Data Science in Business, you can find a job in many fields and sectors where data analysis and decision-support skills are in high demand.
Some examples of possible career paths:
- Business Analyst: a business analyst helps companies understand and solve their problems, improve their processes and products, and take advantage of business opportunities. Their tasks include collecting data, modelling data, analysing data, presenting results, and developing proposals.
- Data Analyst: a data analyst is like an investigator in the business world, looking for information hidden in large data sets. Their tasks include preparing data, visualising data, analysing data, using statistical and machine learning methods, interpreting, and communicating results.
- Financial Analyst: a financial analyst uses financial and accounting data to assess the performance and prospects of companies. Responsibilities include analysing financial statements, budgets, cash flow, investment portfolios and market trends, and developing financial plans and strategies.
- Process Analyst: a process analyst advises companies on how to improve their efficiency, competitiveness, and profitability. They are responsible for identifying business problems, analysing possible solutions, developing, and implementing solutions, and evaluating the business processes.
- Finished secondary school studies.
Language requirements:
- B2 level English language certificate (TOEFL/IELTS/ESOL/BEC/ECL/PTE/FCE/CAE/TELC/TOEIC/Euroexam), or
- Attestation of Language Proficiency in the case of former studies in English.
Place of training
Veszprém, Hungary
Financing
Self-funded.
The tuition fee is /semester
The tuition fee is /semester
Form of training
Full time
Study duration
8 semesters
Modules
Classification of the degree certificate
Data Science in Business
More information about the BSc in Data Science:
Full Professor
Building “A” 1st floor Room 116
Phone: +36 88 624 – 150
e-mail: kzst@gtk.uni-pannon.hu
Tünde VAJDA
International coordinator
Building “A” 2nd floor Room 223
Phone: +36 88 624 – 136
e-mail: vajda.tunde@gtk.uni-pannon.hu