Data Science in Business - Uni4edu

Data Science in Business

Közgáz Campus, Hungary

3300 / years

Bachelor's Degree48 months
Corvinus University of Budapest historic neo-renaissance main building on the Danube riverbank, students walking through the campus courtyard on a sunny day, Budapest cityscape in the background
Bachelor

Bachelor of Science in Data Science in Business

Corvinus University of Budapest

Data Science & Business Analytics

Duration4 Years (8 Semesters)
LanguageEnglish
FormatFull-time
Credits240 ECTS

Program Overview: BSc in Data Science in Business

The BSc in Data Science in Business at Corvinus University of Budapest is the first data science bachelor's degree accredited in the Central and Eastern European region. This practice-oriented program immerses you in data modeling and analytics, combining mathematics, statistics, IT, and business expertise to create real value from data.

Throughout the program, you will develop strong methodological, IT, and business competences through a blend of individual work and teamwork. The first two years emphasize mathematical and statistical concepts using tools such as Excel and R, alongside programming skills in Python and SQL, laying the foundation for artificial intelligence and machine learning applications.

With approximately 16 to 18 teaching hours per week and a mandatory 480-hour internship, the program ensures you gain both theoretical depth and hands-on experience. Partnerships with leading universities and companies provide real-world insights, preparing you for the fast-growing data science job market.

Key Program Highlights

  • First accredited Data Science bachelor's program in the Central and Eastern European region
  • Hands-on training with real company data using Python, R, SQL, and machine learning tools
  • Mandatory 480-hour professional internship with industry partners
  • AACSB and AMBA accredited business school ranked among the top 2% worldwide

Curriculum & Core Modules

The BSc in Data Science in Business curriculum spans eight semesters and is designed to build your expertise progressively. You begin with foundational mathematics and programming, advance to statistical modeling and machine learning, and culminate with applied business analytics projects and a thesis defense.

Mathematics and Linear Algebra

Core Foundation

Covers calculus, linear algebra, and optimization techniques that form the mathematical backbone for data analysis and modeling throughout the program.

Programming and Data Management

Core Foundation

Develops programming skills in Python and SQL, covering data structures, algorithms, and database management essential for handling real-world datasets.

Statistics and Probability Theory

Core Methodology

Introduces descriptive and inferential statistics, probability theory, and time series analysis, equipping you with the tools to draw meaningful conclusions from data.

Machine Learning and Artificial Intelligence

Advanced Core

Explores supervised and unsupervised learning algorithms, neural networks, and practical applications of AI in business contexts such as prediction and classification.

Business Economics and Corporate Finance

Business Core

Provides a solid grounding in microeconomics, macroeconomics, corporate finance, and business decision-making to contextualize data science within real business operations.

Big Data Architecture and Text Analytics

Advanced Specialization

Covers large-scale data infrastructure, big data processing frameworks, and natural language processing techniques including text mining and sentiment analysis.

Elective Modules

Data Science in Supply Chain Management Data Analysis of Financial Markets Panel Modeling and Advanced Econometrics Decision Techniques and Optimization

Admission Requirements

Admission to the BSc in Data Science in Business is competitive and open to international students who demonstrate strong academic performance, particularly in mathematics and analytical subjects. All applications and inquiries are handled through Uni4Edu to ensure a streamlined process.

Academic Requirements

  • Educational BackgroundCompleted secondary education (high school diploma or equivalent)
  • Mathematics ProficiencyStrong performance in mathematics at the secondary school level is expected
  • Entrance ExaminationApplicants must pass a university entrance examination
  • GPA RequirementContact Uni4Edu for current GPA or grade requirements
  • Age RequirementApplicants must be at least 18 years old by the start of the program

English Language Requirements

  • IELTSMinimum overall score of 6.0
  • TOEFL iBTMinimum overall score of 65
  • Duolingo English TestMinimum score of 100

Required Documents

Certified copy of secondary school leaving certificate and transcripts Valid English language proficiency certificate (IELTS, TOEFL, or Duolingo) Copy of valid passport or national ID Motivation letter outlining academic goals and interest in data science Medical certificate of satisfactory health condition

Application Deadlines

January 15 (for September intake) Stipendium Hungaricum Applicants
Self-Funded International Applicants
September Program Start Date

For personalized admission guidance, document verification, and application support, please contact Uni4Edu

Scholarships & Funding

Several scholarship opportunities are available to help fund your studies in the BSc in Data Science in Business at Corvinus University of Budapest. Uni4Edu can guide you through the application process for each funding option to maximize your chances of receiving financial support.

Stipendium Hungaricum Scholarship

Fully Funded (tuition, stipend, accommodation, insurance)

The Hungarian Government's flagship scholarship covers full tuition, a monthly stipend of approximately HUF 43,700, accommodation support of HUF 40,000 per month, and medical insurance. Available to students from eligible partner countries.

Corvinus Scholarship

Full or partial tuition waiver

Corvinus University offers its own merit-based scholarship program that can cover tuition fees for academically outstanding students. Contact Uni4Edu for eligibility criteria and application details.

Erasmus+ and Mobility Grants

Varies by home country and exchange duration

As a Corvinus student, you may access Erasmus+ mobility grants for semester exchanges at over 170 partner institutions across Europe, covering travel and living expenses during your exchange period.

For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.

Career Prospects for Data Science Graduates

Graduates of the BSc in Data Science in Business are exceptionally well-positioned in the job market. According to the World Economic Forum, the fastest-growing jobs by 2030 include big data specialists, AI and machine learning specialists, and data analysts. This program equips you with the interdisciplinary skills employers actively seek.

Top 5 Fastest-Growing Job Category Globally (WEF)
480+ Hours of Professional Internship Experience
170+ Partner Institutions for Global Mobility

Potential Career Roles

Data Analyst / Data Scientist Business Intelligence Analyst Machine Learning Engineer Big Data Specialist Financial Data Analyst BI Consultant

Industries & Employers Hiring Graduates

Big Four Consulting Firms (Deloitte, PwC, EY, KPMG) Major Banks and Financial Institutions Technology Companies and Startups Telecommunications Firms Pharmaceutical and Healthcare Companies E-Commerce and Retail Analytics Firms

Rankings & Recognition

Corvinus University of Budapest is Hungary's leading institution in business, economics, and social sciences. It holds prestigious AACSB and AMBA accreditations, placing it among the top 2% of business schools worldwide, and is consistently recognized in major international rankings.

QS World University Rankings
#1001-1200
2025
QS EECA Rankings
#68
2025
QS International Trade (Executive MBA)
#20
2025
QS Full-time MBA Rankings (Global)
#151-200
2026
SubjectRanking BodyRank
Business & Management StudiesQS World Rankings by Subject#351
Economics & EconometricsQS World Rankings by Subject#351-400
Social Sciences & ManagementQS World Rankings by Subject#350
International Trade (Master's)QS International Trade Rankings#81

How to Apply

Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.

1

Contact Uni4Edu

Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.

2

Prepare Your Documents

Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.

3

Submit Your Application

Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.

4

Receive Your Offer

Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.

Contact Uni4Edu

corporate@uni4edu.com
+90 5435286292
+44 7868736984
Apply Now

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