Programming FundamentalsProgrammingExploratory data analysis
Fundamentals of computers and operating systemsDatabasesData structures+1
Infrastructure for data processingVisualization
Data Science SecurityDiscrete modeling and information theoryData Management+1
AlgorithmicsScalable Machine Learning techniques
Maths and foundations
Mathematics IPhysics IIPhysics I+4
ThermodynamicsStatistical models for decision-making II
Fluid Mechanics
Business and management
Industrial Business and EconomyFundamentals of business Management
Production and Logistic System DesignCost analysis and selection of industrial investmentsCompetitiveness and Innovation in Business+1
Production Planning and Stock ManagementAnalysis and marketing of technology-based products and servicesHuman resources management in industrial companies+1
Projects and labs
Project I: understanding data
Project II, data integration and preparation
Project III, data analysis
Projects
Thesis
Bachelor's Degree Final ProjectBachelor's Degree Final Project
Society, ethics and law
Professional, legal and ethics framework
Research methods
Quantitative methods for industrial organisation
Free electives
4 options
Year 1 · 11 modules
Programming Fundamentals
Programming
Exploratory data analysis
Mathematics I
Physics II
Physics I
Chemistry
Linear Algebra
Statistical models for decision making I
Discrete mathematics
Project I: understanding data
Year 2 · 13 modules
TECHNICAL DRAWING
Automatic Control Systems
Material Science
Production and Manufacturing Systems
Descriptive and predictive models I
Fundamentals of computers and operating systems
Databases
Data structures
Data acquisition and transmission
Thermodynamics
Statistical models for decision-making II
Industrial Business and Economy
Fundamentals of business Management
Year 3 · 15 modules
Circuit analysis
THEORY OF MACHINES
Elasticity and Strength of Materials
Heat Transfer
Work Study
Predictive and descriptive models II
Knowledge Representation and Reasoning
Infrastructure for data processing
Visualization
Fluid Mechanics
Production and Logistic System Design
Cost analysis and selection of industrial investments
Competitiveness and Innovation in Business
Digital Economy
Project II, data integration and preparation
Year 4 · 14 modules
Electronic Systems
Environmental Technology
Operation scheduling
Evaluation, deployment and monitorisation of models
Data Science Security
Discrete modeling and information theory
Data Management
Natural language and information retrieval
Production Planning and Stock Management
Analysis and marketing of technology-based products and services
Human resources management in industrial companies
Accounting and financial analysis for industrial organisation
Project III, data analysis
Quantitative methods for industrial organisation
Year 5 · 8 modules · 4 options
Continuous modelling and simulation
Optimization
Algorithmics
Scalable Machine Learning techniques
Projects
Bachelor's Degree Final Project
Bachelor's Degree Final Project
Professional, legal and ethics framework
4 elective options
How does the focus shift?
From maths and foundations to business and management
Share of modules by theme in each year. Our classification by module titles.
Year 1Year 2Year 3Year 4Year 5
Year 1
Year 2
Year 3
Year 4
Year 5
Specialist subjects
Maths and foundations
Data and computing
Business and management
Society, ethics and law
Research methods
Projects and labs
Thesis
Free electives
What are all the subjects?
All 65 modules
Year 1 · 11 modules · 72 ECTS
Module
Type
ECTS
Basic
9
Basic
6
Basic
9
Basic
6
Basic
6
Basic
6
Basic
6
Basic
6
Compulsory
6
Compulsory
6
Compulsory
6
Source: upv.es, checked 30 Oct 2026
Year 2 · 13 modules · 70.50 ECTS
Module
Type
ECTS
Basic
6
Basic
6
Compulsory
4.5
Compulsory
4.5
Compulsory
4.5
Compulsory
4.5
Compulsory
4.5
Basic
6
Basic
6
Compulsory
6
Compulsory
6
Basic
6
Basic
6
Source: upv.es, checked 30 Oct 2026
Year 3 · 15 modules · all compulsory · 78 ECTS
Module
ECTS
4.5
4.5
4.5
4.5
4.5
6
4.5
4.5
4.5
6
6
6
6
6
6
Source: upv.es, checked 30 Oct 2026
Year 4 · 14 modules · all compulsory · 76.50 ECTS
Module
ECTS
4.5
4.5
9
4.5
4.5
4.5
4.5
4.5
6
6
6
6
6
6
Source: upv.es, checked 30 Oct 2026
Year 5 · 12 modules · 76.50 ECTS
Module
Type
ECTS
Compulsory
6
Elective
4.5
Elective
4.5
Elective
4.5
Elective
4.5
Thesis
12
Compulsory
6
Compulsory
6
Compulsory
4.5
Compulsory
6
Compulsory
6
Thesis
12
Source: upv.es, checked 30 Oct 2026
The degree in facts
LevelGrado · EQF 6, ISCED 6Inferred
QualificationDoble grado en Ciencia de Datos + Ingeniería de Organización Industrial
Share here against the average of 6 similar programmes. Our classification by module titles.
More here than typical
Specialist subjects
25% here
10% typical
Less here than typical
Data and computing
24% here
40% typical
About the same as typical: maths and foundations, research methods, projects and labs, thesis, business and management, languages and communication, internship, society, ethics and law.
Which year differs most?
Year 1 stands out most
The same mix of themes, cut by year of study. Our classification by module titles.
Year 1
More maths and foundations 64% against 33% at most
Double Bachelor's Degree in Data Science + Industrial Organization Engineering is a bachelor's programme in computing and data at Universitat Politècnica de València in València, Spain. It takes 5 years. It carries 373.5 ECTS credits. Teaching is in Spanish, Catalan and English.
The institution publishes 65 modules, of which 4 are optional. By our classification of module titles, the largest themes are data and computing (24%), business and management (17%) and maths and foundations (17%).
How much does Double Bachelor's Degree in Data Science + Industrial Organization Engineering cost?
€17.34 / credit · 2026/27 · EU/EEA.
When is the next deadline or start?
Not found on official pages.
What language is it taught in?
Spanish, Catalan and English (Requires B2 level).
How long does it take?
5 years.
Where is it?
Universitat Politècnica de València, València, Spain.