BScData Science in Business
| Study location | Hungary, Veszprém |
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| Type | Bachelor, full degree studies |
| Nominal duration | 8 semesters |
| Study language | English |
| Awards | BSc (Data Scientist in Business) |
| Course code | Economic Science |
| Entry qualification | High school / secondary education (or higher) The entry qualification documents are accepted in the following languages: English / Hungarian. Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. You must take the original entry qualification documents along with you when you finally go to the university. |
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| Language requirements | English 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. |
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| Other requirements | At least 1 reference(s) should be provided. |
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| More information |
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Overview
The aim of the programme is to train professionals with the methodological, IT and business skills required for data analysis and modelling, who are able to combine and apply these skills in independent problem solving and after acquiring the necessary knowledge and practical experience to map problems in new business areas into data analysis problems. They are prepared to continue their studies at Master’s level.
Programme description
Data is power! The exciting world of Big Data is waiting for you!
BSc in Data Scientist in Business is for you if you…
• are interested in data science, statistics, programming and business decision-making;
• want to gain knowledge and skills that are in high demand in the job market and that will help you in your future career;
want to know…
• how to use data to solve business problems,
• how to apply cutting-edge analytical methods and tools, and
• how to communicate results effectively and persuasively;
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;
• and develop data-driven solutions to support decision making in real business situations.
analysis problems.
Entry requirements:
Secondary school completion certificate, 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.
Entrance exam:
Yes
Type of entrance exam:
oral
Entrance exam location:
online
Entrance exam description:
After submitting all the necessary application documents online, the applicant takes a professional entrance examination (interview) via MS Teams organised by the Admission Committee of the Faculty of Business and Economics. The interview assesses the background knowledge, language skills and motivation of the applicants. The results are measured on a scale of 1-100 and the applicant have to score at least 56 points to get admitted.
Specialisation year available:
No
Contact:
Ms Tünde Vajda
Programme administrator
vajda.tunde@gtk.uni-pannon.hu
Programme structure
The programme structure is available on the website of the Faculty of Business and Economics: www.gtk.uni-pannon.hu/wp-content/uploads/2024/09/BSc_DSB_2024.jpg
Career opportunities
With 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 include:
• Business Analyst: a business analyst helps companies understand and solve their problems, improve their processes and products, and exploit business opportunities. Their tasks include collecting data, modelling data, analysing data, presenting results and developing recommendations.
• 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, and 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.
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