A gateway
to a new future
Description
Programme:
Undergraduate
Delivery method:
Face-to-face
Language:
Spanish/English
Credits:
261 ECTS
This Bachelor in Business Administration provides students with solid training in all areas of public and private sector organisations, on a national and international level. It is designed to prepare professionals for a career in business, providing them with the necessary skills and knowledge to succeed in management and advisory roles in all types of organisations and business areas. Students learn to identify and anticipate opportunities, allocate resources, organise information, recruit and motivate people, make decisions, reach goals and assess results. On top of this, the programme includes courses in Data Science for business (Artificial Intelligence, Machine Learning and Programming).
Data Science studies data and how to measure and harness them, in line with business objectives, to extract valuable information that is key to making the right business decisions and increasing efficiency and profits.
This minor is designed to train specialists in Data Science. It offers a multidisciplinary approach, combining programming, analysis and decision-making with excellent business, management and communication skills, since the goal is not only to extract the information, but also to be able to communicate it effectively.
Data are today’s gold. According to IBM, an average of 2.5 quintillion bytes of data is created each day. The amount of data stored by businesses and institutions is growing day by day and, in recent years, this growth is exponential. This makes it absolutely essential for companies to have experts who are capable of managing these data efficiently.
Curriculum
CUNEF Universidad Bachelor in Business Administration consists of 261 credits, distributed as follows:
- 60 basic credits (compulsory)
- 132 compulsory credits
- 42 optional credits
- 21 credits for the minor
- 6 credits for the Final Year Project
| COURSE | ECTS | TYPE |
|---|---|---|
| Business Economics | 6 | Basic |
| Mathematics I | 6 | Basic |
| Business History | 6 | Compulsory |
| Accounting Information Systems | 6 | Basic |
| Search, Processing and Use of Information | 6 | Compulsory |
| TOTAL CREDITS FALL TERM | 30 | |
| Decision-making under uncertainty | 3 |
| COURSE | ECTS | TYPE |
|---|---|---|
| Introduction to Economics | 6 | Basic |
| Mathematics II | 6 | Basic |
| Corporate Law | 6 | Basic |
| Principles of Financial Economics | 6 | Basic |
| Programming | 6 | Basic |
| TOTAL CREDITS SPRING TERM | 30 | |
| Data visualisation and descriptive statistics | 3 |
| COURSE | ECTS | TYPE |
|---|---|---|
| Microeconomics | 6 | Compulsory |
| Data Analysis | 6 | Basic |
| Financial Accounting | 6 | Compulsory |
| Financial Markets and Institutions | 6 | Compulsory |
| Organisational Design and Behaviour | 6 | Compulsory |
| TOTAL CREDITS FALL TERM | 30 | |
| R&Python programming for business and management | 3 |
| COURSE | ECTS | TYPE |
|---|---|---|
| Macroeconomics | 6 | Compulsory |
| Statistics | 6 | Basic |
| Corporate Finance | 6 | Compulsory |
| Business Management | 6 | Compulsory |
| Critical Thinking and Argumentation | 3 | Compulsory |
| Verbal and Written Communication Skills | 3 | Compulsory |
| TOTAL CREDITS SPRING TERM | 30 | |
| Data integrity and statistical inference | 3 |
| COURSE | ECTS | TYPE |
|---|---|---|
| Global Economic Environment | 6 | Compulsory |
| Operations and Logistics Management | 6 | Compulsory |
| Econometrics | 6 | Compulsory |
| Managerial Accounting | 6 | Compulsory |
| Data Analysis and Information Extraction | 6 | Compulsory |
| TOTAL CREDITS FALL TERM | 30 |
| COURSE | ECTS | TYPE |
|---|---|---|
| Financial Investment | 6 | Compulsory |
| Market Research and Analysis | 6 | Compulsory |
| Entrepreneurship and Innovation | 6 | Compulsory |
| Business Strategy and Analysis | 6 | Compulsory |
| Corporate Taxation | 6 | Compulsory |
| TOTAL CREDITS SPRING TERM | 30 | |
| Understanding the causes of things: regression analysis | 3 |
| COURSE | ECTS | TYPE |
|---|---|---|
| Corporate Strategy | 6 | Compulsory |
| Business Analysis and Valuation | 6 | Compulsory |
| Ethics and Social Responsibility | 6 | Compulsory |
| Internships or Elective Courses (Subject 16) | 12 | Elective |
| TOTAL CREDITS FALL TERM | 30 | |
| Time series forecasting for business and management | 3 |
| COURSE | ECTS | TYPE |
|---|---|---|
| Neural Networks and Deep Learning | 6 | Elective |
| Machine Learning | 6 | Elective |
| Text Mining | 6 | Elective |
| Visualisation Techniques | 6 | Elective |
| Final Degree Project | 6 | Compulsory |
| TOTAL CREDITS SPRING TERM | 30 | |
| Delivering insights through data-based storytelling: capstone Project | 3 |
Career Outcomes
Business Administration graduates are highly sought after in all types of national and international organisations, both public and private, for-profit and not for-profit.
Companies seek qualified professionals, and CUNEF Universidad Bachelor in Business Administration is designed to train managers and leaders for 21st century organisations, where data management is crucial.
The Curriculum covers a series of subjects that aim to prepare graduates to face the new challenges involved in today’s digital transformation, providing them with the necessary tools to manage, update and analyse vast amounts of information on products and consumers and make decisions based on that information.