SYLLABUS

MASTER'S DEGREE IN BUSINESS ANALYTICS, IA & MACHINE LEARNING

The syllabus and structure of the Master’s degree have been designed by UFV in collaboration with prestigious professionals working in technology companies, in the areas of Business Analytics, AI, and ML, as well as business areas.

BOOTCAMP

The two-week bootcamp is designed to provide students with relevant and practical content. It will allow the student to participate and lead the learning and data processing projects that will be developed throughout the univermaster’s degree

INTEGRATION BASICS

SUBJECT NAME
LINUX BASICS
INFRAS VIRTUALIZATION (MV & CONTAINERS)
REPOSITORIES & SOFTWARE LIFECYCLE
SW INSTALLATION REQUIRED

BBDD AND SQL BASICS

SUBJECT
ENTITY RELATIONSHIP
DATABASE TYPES
DATABASE ELEMENTS
SQL (LMD, LDD, LCD)

CORE ANALYTICAL PROGRAMMING

SUBJECT NAME
BASIC PROGRAMMING STRUCTURES
REPOSITORY AND SOFTWARE LIFE CYCLE
PYTHON + SPARK

MASTER'S DEGREE IN BUSINESS ANALYTICS ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

SUBJECT	TYPE	ECTS
Introduction to Business Analytics / Economic Analytics	BT	2
Legal Analytics	BT	1
Ethics, Data and People	BT	3
CDO, Data Governance and Data management	OB	2
BigData Architecture and Cloud	OB	6
Data Engineering	OB	5
Data Analytics	OB	12
Reporting and Visualization	OB	3
Storytelling & BigData Business Case	OB	2

SPECIALIZATIONS

The choice of specialty is associated with the student’s previous university studies and training. It will be indicated at the time of the reservation of the place

IA AND MACHINE LEARNING

Specialization aimed at candidates who have completed their university studies in the areas of engineering and/or mathematics

MANAGEMENT ANALYTICS

Specialization aimed at candidates who have completed their university studies in all areas of knowledge

SPECIALIZATION IN ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING (18 ECTS)*

COURSE	TYPE	ECTS
Introduction to Artificial Intelligence	OPT	3
Machine Learning in the business world	OPT	3
Natural Language Processing	OPT	3
Robotics	OPT	3
Future of AI and its business application	OPT	3
Professional Application Project	OPT	3

SPECIALIZATION IN MANAGEMENT ANALYTICS (18 ECTS)*

COURSE	TYPE	ECTS
Human Resources Analytics	OPT	3
Marketing Analytics	OPT	3
Financial Analytics	OPT	4
	OPT	3
Commercial Analytics	OPT	2
Professional Application Project	OPT	3

Courses Master in ARTIFICIAL INTELLIGENCE, BUSINESS ANALYTICS, & MACHINE LEARNING. Syllabus.

Name: UFV - Universidad Francisco de Vitoria - Universidad Privada en Madrid
Address: Ctra. Pozuelo-Majadahonda KM 1.800. 28223 Pozuelo de Alarcón, Madrid, Madrid, 28223 Pozuelo de Alarcón
Telephone: +34-917091400
Price range: 400€ - 1.440€

* Opening subject to a minimum number of students

The syllabus and academic conditions published on this website are for information purposes only and do not constitute a contract between the student and UFV. UFV reserves the right to make modifications, updates or changes to the syllabus, as well as to the academic and enrolment policies, at any time and without prior notice. These modifications may affect, among others, for example, the number of credits required for enrolment and, therefore, their cost. The opening of the programme and/or specialisation shall be subject to verification of the degree and the existence of a minimum quorum of students. If neither verification nor the minimum quorum is obtained, the programme and/or speciality will not be opened. The UFV will publish, in each case, the corresponding updated information in order to guarantee maximum publicity and transparency.