Double Bachelor in Business Administration and Data Science

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Double Bachelor in Business Administration and Data Science

Apply now

Description

Programme:
Undergraduate
Delivery method:
Face-to-face
Language:
Business Administration in English, Data Science in Spanish
Credits:
366 ECTS

The Double Bachelor in Business Administration and Data Science aims to train data scientists who are capable of using their knowledge in the corporate environment, enabling graduates to better understand objectives and processes thanks to their training in Business Administration. The programme prepares students to contribute to all stages of any project that requires the use of big data applied to decision making.

A gateway
to a new future

The curriculum covers fundamental aspects of statistics, mathematics, computational techniques, data processing, finance, accounting, economics and business organisation. It also addresses critical areas such as machine learning, cloud processing and other technologies that enable the integration of intelligent models into the business and management areas of companies.

Plan de Estudios

CUNEF Universidad’s Double Bachelor in Business Administration and Data Science consists of 366 credits, distributed as follows:

  • 342 compulsory ECTS
  • 12 ECTS for Internships
  • 12 ECTS for the Final Degree Projects

Fall Term

COURSEECTSTYPE
Business History6Compulsory
Business Economics6Compulsory
Descriptive Statistics6Compulsory
Programming I6Compulsory
Linear Algebra6Compulsory
Search, Processing and Use of Information6Compulsory
TOTAL CREDITS FALL TERM 36

Spring Term

COURSEECTSTYPE
Accounting Information Systems6Compulsory
Introduction to Economics6Compulsory
Principles of Financial Economics6Compulsory
Programming II6Compulsory
Mathematical Logic6Compulsory
Calculus I6Compulsory
TOTAL CREDITS SPRING TERM 36

Fall Term

COURSEECTSTYPE
Financial Accounting6Compulsory
Corporate Law6Compulsory
Probability Calculus6Compulsory
Algorithm Analysis and Design6Compulsory
Calculus II6Compulsory
Databases (SQL Relational Model)6Compulsory
TOTAL CREDITS FALL TERM 36

Spring Term

COURSEECTSTYPE
Microeconomics6Compulsory
Financial Markets and Institutions6Compulsory
Organisational Design and Behaviour6Compulsory
Discrete Mathematics6Compulsory
Inferential Statistics6Compulsory
Databases (NoSQL Model)6Compulsory
TOTAL CREDITS SPRING TERM 36

Fall Term

COURSEECTSTYPE
Macroeconomics6Compulsory
Managerial Accounting6Compulsory
Corporate Finance6Compulsory
Cloud Storage6Compulsory
Machine Learning: Prediction6Compulsory
Time series6Compulsory
Critical Thinking and Argumentation3Compulsory
TOTAL CREDITS FALL TERM 39

Spring Term

COURSEECTSTYPE
Business Management6Compulsory
Econometrics6Compulsory
Web Application Programming6Compulsory
Cloud Computing6Compulsory
Machine Learning: Classification6Compulsory
Operational Research6Compulsory
Verbal and Written Communication Skills3Compulsory
TOTAL CREDITS SPRING TERM 39

Fall Term

COURSEECTSTYPE
Financial Investment6Compulsory
Entrepreneurship and Innovation6Compulsory
Global Economic Environment6Compulsory
Deep Learning6Compulsory
Geometry and Spatial Data6Compulsory
Evolution of Natural and Artificial Intelligence6Compulsory
TOTAL CREDITS FALL TERM 36

Spring Term

COURSEECTSTYPE
Business Analysis and Valuation6Compulsory
Corporate Taxation6Compulsory
Collaboration Tools6Compulsory
Visualisation Techniques6Compulsory
Agile Project Management6Compulsory
Optimisation6Compulsory
TOTAL CREDITS SPRING TERM 36

Fall Term

COURSEECTSTYPE
Business Strategy and Analysis6Compulsory
Corporate Strategy6Compulsory
Data-Driven Logistics6Compulsory
Natural Language Processing for Marketing6Compulsory
Data-Driven Financial Risk Assessment6Compulsory
Decision-Making Tools6Compulsory
TOTAL CREDITS FALL TERM 36

Spring Term

COURSEECTSTYPE
Ethics and Social Responsibility6Compulsory
Final Degree Project in Business Administration6Compulsory
Business Intelligence6Compulsory
Final Degree Project in Data Science6Compulsory
Internships12Compulsory
TOTAL CREDITS SPRING TERM 36

Career Outcomes

As data scientists with a degree in Business Administration, graduates will find that they are in high demand and have a wide range of businesses to choose from when they enter the job market. Data Science has become essential for almost any type of business, especially in areas such as finance, marketing, healthcare and the environment. The research study “Forecast: Enterprise Software Markets Worldwide, 2014-2021”, recently published by the consulting firm Gartner, shows that the global data market is growing dramatically and identifies data science as “the profession of the future”.