Double Bachelor in Business Administration and Data Science
Programme
- Double Bachelor
Delivery mode
- Face-to-face
Language
- English * / Spanish
Credits
- 366 ECTS
Double Bachelor in Business Administration and Data Science
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.
The 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).
A gateway
to a new future
The Bachelor in Data Science trains scientists capable of mining and handling massive amounts of information during every stage of the process. Students acquire the necessary knowledge and skills to design data searches, selecting specific data sources and variables of interest according to each problem or project. They also learn to process data using denoising, outlier detection and normalisation methods, and to propose hypotheses, provide answers and solve any prediction, planning and prevention issues that may arise during projects.
The curriculum addresses fundamental aspects of statistics, mathematics, databases, and programming. It also covers other areas that are essential for data scientists, including automatic learning techniques, such as Machine Learning or Deep Learning, or cloud technologies, such as Big Data, Cloud Services and Cloud Computing.
*Data Science in English pending approval from Madri+d Knowledge Foundation.
Curriculum
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
| COURSE | ECTS | TYPE |
|---|---|---|
| Business History | 6 | Compulsory |
| Business Economics | 6 | Compulsory |
| Descriptive Statistics | 6 | Compulsory |
| Programming I | 6 | Compulsory |
| Linear Algebra | 6 | Compulsory |
| Search, Processing and Use of Information | 6 | Compulsory |
| TOTAL CREDITS FALL TERM | 36 |
Spring Term
| COURSE | ECTS | TYPE |
|---|---|---|
| Accounting Information Systems | 6 | Compulsory |
| Introduction to Economics | 6 | Compulsory |
| Principles of Financial Economics | 6 | Compulsory |
| Programming II | 6 | Compulsory |
| Mathematical Logic | 6 | Compulsory |
| Calculus I | 6 | Compulsory |
| TOTAL CREDITS SPRING TERM | 36 |
Fall Term
| COURSE | ECTS | TYPE |
|---|---|---|
| Financial Accounting | 6 | Compulsory |
| Corporate Law | 6 | Compulsory |
| Probability Calculus | 6 | Compulsory |
| Algorithm Analysis and Design | 6 | Compulsory |
| Calculus II | 6 | Compulsory |
| Databases (SQL Relational Model) | 6 | Compulsory |
| TOTAL CREDITS FALL TERM | 36 |
Spring Term
| COURSE | ECTS | TYPE |
|---|---|---|
| Microeconomics | 6 | Compulsory |
| Financial Markets and Institutions | 6 | Compulsory |
| Organisational Design and Behaviour | 6 | Compulsory |
| Discrete Mathematics | 6 | Compulsory |
| Inferential Statistics | 6 | Compulsory |
| Databases (NoSQL Model) | 6 | Compulsory |
| TOTAL CREDITS SPRING TERM | 36 |
Fall Term
| COURSE | ECTS | TYPE |
|---|---|---|
| Macroeconomics | 6 | Compulsory |
| Managerial Accounting | 6 | Compulsory |
| Corporate Finance | 6 | Compulsory |
| Cloud Storage | 6 | Compulsory |
| Machine Learning: Prediction | 6 | Compulsory |
| Time series | 6 | Compulsory |
| Critical Thinking and Argumentation | 3 | Compulsory |
| TOTAL CREDITS FALL TERM | 39 |
Spring Term
| COURSE | ECTS | TYPE |
|---|---|---|
| Business Management | 6 | Compulsory |
| Econometrics | 6 | Compulsory |
| Web Application Programming | 6 | Compulsory |
| Cloud Computing | 6 | Compulsory |
| Machine Learning: Classification | 6 | Compulsory |
| Operational Research | 6 | Compulsory |
| Verbal and Written Communication Skills | 3 | Compulsory |
| TOTAL CREDITS SPRING TERM | 39 |
Fall Term
| COURSE | ECTS | TYPE |
|---|---|---|
| Financial Investment | 6 | Compulsory |
| Entrepreneurship and Innovation | 6 | Compulsory |
| Global Economic Environment | 6 | Compulsory |
| Deep Learning | 6 | Compulsory |
| Geometry and Spatial Data | 6 | Compulsory |
| Evolution of Natural and Artificial Intelligence | 6 | Compulsory |
| TOTAL CREDITS FALL TERM | 36 |
Spring Term
| COURSE | ECTS | TYPE |
|---|---|---|
| Business Analysis and Valuation | 6 | Compulsory |
| Corporate Taxation | 6 | Compulsory |
| Collaboration Tools | 6 | Compulsory |
| Visualisation Techniques | 6 | Compulsory |
| Agile Project Management | 6 | Compulsory |
| Optimisation | 6 | Compulsory |
| TOTAL CREDITS SPRING TERM | 36 |
Fall Term
| COURSE | ECTS | TYPE |
|---|---|---|
| Business Strategy and Analysis | 6 | Compulsory |
| Corporate Strategy | 6 | Compulsory |
| Data-Driven Logistics | 6 | Compulsory |
| Natural Language Processing for Marketing | 6 | Compulsory |
| Data-Driven Financial Risk Assessment | 6 | Compulsory |
| Decision-Making Tools | 6 | Compulsory |
| TOTAL CREDITS FALL TERM | 36 |
Spring Term
| COURSE | ECTS | TYPE |
|---|---|---|
| Ethics and Social Responsibility | 6 | Compulsory |
| Business Intelligence | 6 | Compulsory |
| Internships | 12 | Compulsory |
| Final Degree Project in Business Administration | 6 | Compulsory |
| Final Degree Project in Data Science | 6 | Compulsory |
| 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”.