BBA + Master in Data Science

Description

Program
Undergraduate + Graduate
Learning Option
Face-to-face
Language
Spanish and English
Credits
300 ETCS

BBA + Master in Data Science

The BBA + Master in Data Science is intended to train professionals capable of working in the fields of management, consultancy and appraisal at any type of organisation. These tasks are developed in the global area of the organisation, or in any of its functional areas: production, human resources, financing, marketing and commercialisation, investment, administration or accounting.

During their university course, students develop general and specific knowledge of the functioning of all the areas of the company depending on the missions and strategic direction of the company or organisation. Knowledge which is supplemented by developing the necessary skills while at university to identify and anticipate opportunities, assign resources, organise information, select and motivate people, reach decisions, achieve the targets that have been set, and evaluate results.

The Master in Data Science in its three specialisations (Finance, Marketing and Human Resources) is designed to train professionals interested in developing a professional career as managers of huge volumes of information in the activity of financial institutions. The aim is to provide the participants with the generic knowledge related to the technologies and tools used in the management of corporate information, and their practical application in the finance industry.

This is a practical programme, with learning opportunities applied to the challenges faced by companies concerning the management of new sources of information in constant growth. To do so, it combines basic courses in Big Data technologies, analysis and information management, with applied knowledge concerning the analysis and management of data for the financial, marketing and human resources sectors.

Qualification title:Bachelor in Business Administration + Master in Data Science

Centre Responsible: CUNEF

Academic year of launch: 2018-2019

Continuation norms and regulations

Minimum number of ECTS per enrolment and teaching period

Full-time students

First Year

Minimum ECTS: 60
Maximum ECTS: 60

Other Years

Minimum ECTS: 60
Maximum ECTS: 90

Part-time students

First Year

Minimum ECTS: 60
Maximum ECTS: 60

Other Years

Minimum ECTS: 30
Maximum ECTS: 90

Hallmarks

The Bachelor in Business Administration + Master in Data Science has the following hallmarks:

Programme intensity: this is an intensive programme that requires a full-time commitment by the students.
Two degrees in 5 years (300 ECTS).
Two professional placements abroad during terms 8 and 10.
All students complete the course with a high level of English, equivalent to C1 (they must demonstrate this level through an internal or external exam).
Mentors from the very first year who will accompany them during their time at the centre and whose mission it is to provide them with the resources to successfully develop their career within the institution and then during their professional placement.
It includes distinguishing elements, therefore the Degree in BAM + Master in Data Science has all the ingredients so that the road to success is clear and reinforced for students having studied at CUNEF.

Three specialisations

The syllabus for the Master in Data Science comprises the optional subjects that form each one of the three specialisations, which are taught in English:

Data Science in Finance and Insurance: the advantages generated by its application in the world of finance will allow the data scientist to better perform the segmentation of the client, analyse markets and trends, improve the predictive capacity when analysing and managing risk (credit and operational) and detect fraud and money laundering.
Data Science in Digital Marketing: the advantages generated by its application in marketing will allow the data scientist to understand the tastes and needs of consumers through the management and analysis of data that the company receives through the different means of communication and the promotion of its products. By carrying out searches, comparisons and visualisations, they will obtain advantages for their companies over other competitors
Data Science in Digital Human Resources: the advantages generated by its application in Human Resources will allow the data scientist to obtain valuable information on people required by the company and carry out a more analytical and strategic selection process as well as identify occasional problems and create strategies to remedy them, and also detect the level of satisfaction of the employees of the company and whether the opportunities for development are being taken advantage of or not.

Objectivs and skills

Objectives

The CUNEF Bachelor in Business Administration + Master in Data Science pursues the following teaching goals:

First of all, students acquire a sound knowledge of enterprises, how they work and how they relate to the national and international economic context.
They secondly explore in greater depth the methods and techniques of business administration and management, giving them a thorough knowledge of how every area of an enterprise operates and is organised, allowing them to perform management and consultancy tasks at any type of firm. The training required to hold senior positions at national and international company departments in industry, trade, banking, insurance, development cooperation, etc.
Thirdly, students acquire knowledge in the field of the quantitative methods needed in business practice: basic elements of linear algebra, calculus, financial mathematics, statistics and econometric models.
Furthermore, the participants also gain familiarity with the processes of decision-making, analysis and summary skills, communication and teamwork. They likewise develop the abilities required to apply knowledge in practice, to receive and convey information in other languages, and to use information and telecommunications technologies.
To supplement all this, students have the chance to complete their academic training with a practical placement at a company, through educational cooperation programmes and international training periods on exchange programmes established with a wide range of universities worldwide.
Lastly, the aim is to raise students’ awareness of ethical principles and values in the course of their work and in society at large.

Competences

The skills acquisition process takes place through the modules and subjects that make up the Degree course. How aptitudes are acquired will of course depend on the student’s stage on the Degree course, with skills being learned at initial, intermediate and advanced levels, as is standard practice within the European university system.

The horizontal and specific skills acquired by students focus on preparing them to engage in professional pursuits corresponding to the qualification offered.

The way the skills are designed likewise complies with the provisions of the ‘MECES’ framework for higher education qualifications in Spain.

General skills

GS1: Capacity to solve problems. Description: Find solutions and reach a fixed and decisive determination to resolve a query or problem.

GS2: Capacity for analysis and summary. Description: Study a topic, problem, case, article, exercise, etc. in detail, and summarise and compile the key elements.

GS3: Capacity for organisation and planning. Description: Understand how to plan the steps to be followed and/or structured to reach an objective, appropriately allocating the available material and human resources by assigning specific functions to each.

GS4: Capacity for communication and teamwork. Description: Understand how to convey information verbally and/or in writing. Collaborate and cooperate with others, giving the best of their skills to achieve team results. Accept and value the abilities of others, and aim for synergy with colleagues. Value differences and build relationships of respect and growth.

Horizontal skills

HS1: Capacity for research and information gathering Description: Aim to locate or find information using different sources (databases, media, manuals, etc.) and study this information in depth.

HS2: Capacity to receive and convey information in other languages, above all English. Description: Use and master other languages, fundamentally English.

HS3: Capacity to work under pressure. Description: Have little difficulty working in complex situations when subject to coercion, intimidation, etc.

HS4: Capacity to apply knowledge in practice. Description: Understand how to use the knowledge acquired to achieve a specific goal, such as resolving an exercise or the discussion of a case study.

HS5: Use information and telecommunications technologies. Description: Use and master the technological resources available (virtual campus, Internet, IT applications, etc.).

Specific Skills

SS1: Manage and administer an enterprise or organisation, understanding its competitive and institutional positioning, and identifying its strengths and weaknesses. Description: Know how to lead and govern an enterprise to achieve the maximum profit, taking into account the resources available to the organisation and the characteristics of the context and/or market within which it operates.

SS2: Integrate within any functional area of a large or medium-sized enterprise or organisation, and comfortably perform any management task entrusted there. Description: Be comfortable operating in any department of an enterprise (production, marketing, human resources, finance, etc.), reaching and implementing decisions. Specifically, the ability to perform diagnoses and proposals for organisational improvement, to make proposals to improve working methods and working time studies, design production incentives plans, understand and successfully perform the functions and activities inherent at human resource departments (job analysis and appraisal, recruitment, remuneration, etc.); use marketing tools and techniques to give consumers what they need and/or want at any given time, while simultaneously gaining the maximum profit for the company; know how to analyse and plan investments, forecasting expectations, interrelationships and financing; ability to manage and oversee the company’s financial plan, representing and communicating economic and financial information through accounting statements, verifying and ensuring that economic and financial information is compliant with the legislation in force, etc.

SS3: Identify sources of relevant economic information and their content. Description: Understand the different resources or sources of information providing key data for corporate decision-making.

SS4: Derive relevant economic information from the data. Description: Identify and compile data from different information sources, in order then to convert this into useful economic information for decision-making.

SS5: Use the relevant information records to appraise a company’s position and foreseeable evolution. Description: Use relevant information to analyse, diagnose and predict the economic, financial, commercial, accounting or administrative position of companies, corporate groups and sectors, and the branches to which they belong.

SS6: Issue consultancy reports on a specific company and market situations. Description: Draw up economic and financial studies and documents concerning companies and/or markets, valid for use at any central, local or quasi-state governmental body and other regional agencies, and at any court body.

SS7: Draw up plans for overall management and for individual functional areas of a company. Description: Ability to draw up detailed plans for companies and organisations in accordance with preset goals, at different levels from the most comprehensive (strategic plans) to the most specific, corresponding to an individual department for functional area.

SS8: Understand the fundamental elements of the national and international economic context within which the company performs its activities. Description: Understand national and international economic institutions, the basic phenomena of the Spanish and international economy, the tax system and the basic economic laws affecting the company.

Syllabus

First Term

CODE	SUBJECT	LANGUAGE	ECTS	TYPE
012802301	Data Analysis	Spanish	4	Elective
012802292	Analysis and Financial Planning	Bilingual	6	Mandatory
012802293	Consumer Behavior	Bilingual	6	Mandatory
012802296	Consolidated Financial Statements*	Bilingual	4	Elective
012802294	Strategic Management	Bilingual	6	Mandatory
012802304	International Management of the Company*	Spanish	4	Elective
012802300	International and National Financial Markets*	Spanish	4	Elective
012802320	Internship*	Spanish	12	Elective
Master	Machine learning: unsupervised models	Bilingual	3	Mandatory
		Total	30

Second Term

CODE	SUBJECT	LANGUAGE	ECTS	TYPE
012802313	Company Law II	Spanish	4	Elective
012802306	Corporate Accounting	Spanish	4	Elective
012802318	Entrepreneurship	Bilingual	4	Elective
012802310	Economy and Bank Management	Bilingual	4	Elective
012802309	Government, Social Responsibility and Company Sustainability	Bilingual	4	Elective
012802311	Banking and Stock Market Operations	Spanish	4	Elective
012802308	Spanish Financial System	Spanish	4	Elective
012802321	Final Degree Project	Bilingual	6	Final Degree Project
Master	Machine learning: supervised models	Bilingual	3	Mandatory
		Total	33

First Term

CODE	SUBJECT	LANGUAGE	ECTS	TYPE
Master	Analysis of unstructured information	Bilingual	6	Mandatory
Master	Predictive Analysis	Bilingual	3	Mandatory
Master	ETL / Extract, Transform and Load	Bilingual	6	Mandatory
Master	Artificial Intelligence Models	Bilingual	4	Mandatory
Master	Asset Management Analytics	Bilingual	4	Elective
Master	Data Science for Credit Risk Analytics	Bilingual	4	Elective
Master	Data Management for Market Analysis	Bilingual	4	Elective
Master	Trends and Influence Detection	Bilingual	4	Elective
		Total	27

Second Term

CODE	SUBJECT	LANGUAGE	ECTS	TYPE
Master	Internships	Bilingual	6	Mandatory
Master	Master Thesis and Dissertation	Bilingual	6	Mandatory
		Total	12

Faculty

CUNEF sets out below information of the Lecturers who teach this degree (academic and professional CVs for all of them), demonstrating that CUNEF has the optimal academic staff required in order to deliver the teaching scheduled for the BBA + Master in Data Science.

The academic, research and professional qualifications of the lecturers teaching this qualification at CUNEF are therefore appropriate.

Spheres of knowledge	No. of Lecturers	PhDs	Accredited
Law	12	9	3
Business Administration	20	12	5
Economics	18	17	8
Finance and Accounting	26	19	6
Quantitative Methods	15	13	11
Overall Total	91	70	33

Internships

Students on the Bachelor in Business Administration + Master in Data Science will have the opportunity to work at all manner of organisations, enterprises or institutions in industry, consultancy, banking and finance, the insurance sector, etc., and in the different departments of national and international enterprises and public administrations.

Professionals in management, consultancy and evaluation at any type of organisation (public or private, for-profit or not-for-profit).
Professionals in the production area.
Professionals in the human resources area.
Professionals in the finance, marketing or investment area.
Professionals in the administration area.
Professionals in the accounting area.
Teaching and research.

There are two formats of external academic placement:

Curricular: forming part of the Course Curriculum. The Practical Placement subject corresponds to this mode.
Extracurricular: undertaken by students on a voluntary basis during their education, without forming part of the corresponding Course Curriculum. This will however be covered by the Diploma Supplement, as established in the regulations in force

Number of ECTS:	12 ECTS
Nature of the subject:	Elective
Duration	150 hours (minimum)
Requirements	Enrolment on any educational course delivered by CUNEF. Students must be enrolled at CUNEF throughout the duration of the practical placement. Students that have any fourth examination session subject pending will not be able to sign the Agreement until this has been passed.
Where do I find practical placement offers?	CUNEF students can find practical placement offers through: CUNEF Career Centre CUNEF International Career Centre
When are practical placements performed?	Once all Year 1, 2 and 3 subjects have been passed. In other words, from the summer of Year 3 onwards.
Teaching Guide for practical placements	PDF
Specific CUNEF regulations	PDF
Educational cooperation agreement format	PDF
Student appendix	PDF
Final report form	PDF

Norms and documents

Academic norms

Official Documentation

Structure and functioning

Article 31 of the Spanish Universities Act reform (Act 4/2007) addresses Quality Assurance, laying down the need to establish quality assurance criteria to facilitate evaluation, certification and accreditation, viewing quality assurance as an essential purpose of university policy. The new organisational structure for universal education established by Royal Decree 1393/2007, and the subsequent amendment in Royal Decree 861/2010, includes quality assurance as one of the basic elements that a course curriculum must include.

Spanish Universities Act 6/2001, of 21 December 2001, and the reform applied to this by Act 4/2007, of 12 April 2007, Article 31 of which addresses Quality Assurance, lays down the need to establish quality assurance criteria to facilitate evaluation, certification and accreditation, viewing quality assurance as an essential purpose of university policy. Royal Decree 1393/2007, of 29 October 2007, amended by Royal Decree 861/2010, of 2 July 2010, establishing the regulations governing official university education, clearly indicates that “Quality Assurance Systems, which form a part of the new course curricula, likewise provide the basis for the new educational structure to function efficiently and to generate the trust on which the process of qualification accreditation relies”. The establishment of a Quality Assurance System is thus included in the new official university education regulations as a condition of the process of qualification verification and accreditation.

CUNEF has defined the structure of its Internal Quality Assurance System, (IQAS) and the procedures governing this function, in accordance with the demands of Royal Decree 1393/2007, amended by Royal Decree 861/2010.

The IQAS allows CUNEF to ascertain the development of its official qualifications, in support of transparency, the inclusion of continuous improvement strategies and the systematic organisation of actions effectively contributing to qualifications quality assurance and efficiency in processes to appraise verification, monitoring and renewal of mandatory official qualifications accreditation.

The CUNEF IQAS has the following structure: Degree Quality Committee, Master’s Programme Quality Committee and Doctorate Quality Committee, Technical Quality Unit, Academic and Management Unit.

The Quality Committees are responsible for monitoring the implementation of the degree, master’s and doctorate programmes taught at CUNEF. These Committees analyse and appraise the development of the qualifications, making proposals for review and improvement that will be submitted to the Academic Committee and CUNEF Management to be taken into account where applicable.

Degree Quality Committee

Name and Surname(s)	Category and/or group
Mercedes Gracia Díez	Degree in BAM Coordinator Head of Quality and Chair of the Committee
José Javier Galán Ruiz	Degree in Law Coordinator
Guillermo Velasco Fabra	Academic Staff Representative
Francisco Javier Sosa Álvarez	Academic Staff Representative
Javier Sánchez Hernández	Admin and Support Staff Representative Committee Secretary
Begoña Menéndez Rodríguez	Admin and Support Staff Representative
Pablo Romanillos de Pardo de Santayana	Student Representative
Felipe Julián Vázquez Sánchez	Student Representative
Cecilia de la Rosa González	Alumni Representative

These committees have the following responsibilities:

Manage and coordinate the Internal Quality Assurance System and monitor this process.
Monitor and evaluate the quality targets, external practical placements and mobility programmes.
Draw up the regulations governing the functioning of the Quality Committees, and make the corresponding proposals to the Academic Committee and the Director of CUNEF for approval.
Gather information and evidence as to the development and application of the training programme for the qualification (objectives, development of teaching and learning, methodology, etc.).
Manage the Information System for the qualification (information, support and guidance for students, coordination of teaching staff, qualification course resources, mobility programmes, external practical placements, etc.).
Supervise fulfilment of the quality policy for the qualification in accordance with the CUNEF quality policy and the UCM quality policy.
Promote specific actions to encourage the use of new teaching methodologies and to disseminate and raise awareness of good practice in the field of quality.
Draw up guidelines for the development of information systems as to objectives, available resources, management and results of the qualifications course intended for lecturers, students and admin and support staff.

The Academic Committee (see composition in Table 1) is responsible for coordinating improvement proposals connected with qualifications and for decision-making in this regard. The Director of CUNEF is ultimately responsible for validating the decisions reached by the Academic Committee.

Each Quality Committee comprises:

The coordinators/directors of the applicable official qualifications in each case (degree, master’s and doctorate programme),
The representatives (at least one per qualification) of the lecturers teaching each qualification,
The representatives (one per qualification) of students sitting for the qualification as candidates,
Up to a maximum of three representatives from the professional sphere of university qualifications delivered by CUNEF (where there are alumni among these representatives, they will be selected from this group), and a representative of admin and support staff.

The Degree Quality Committee is currently in operation (see composition in Table 2). It oversees the proper development of official CUNEF qualifications, and can be sent any comments connected with the quality of qualifications via the suggestions box.

The Quality Committees meet at least twice per year and are governed by the Quality Committee Functional Regulation approved on 24 November 2014.

	10/11	11/12	12/13	13/14	14/15	15/16	16/17	17/18	18/19
Pre-registered						608	604	561	848
Admitted						306	288	305	511
Demand rate (pre-registered/places)						337,78%	335,56%	311,67%	530,00%
ICM-1 – New enrolment places offered (authorised by the UCM)			200	211	180	180	180	180	160
ICM-2 – New enrolment			205	205	182	169	285	154	165
ICM-3 – Percentage cover			102,50%	97,16%	101,11%	93,89%	85,56%	91,67%	178,13%
ICM-4 – Qualification performance rate			90,64%	89,67%	85,93%	87,10%	89,84%	90,84%	86,33%
ICM-5 – Degree dropout rate	12,8%	7,8%	7,32%	3,35%	6,59%	Not applicable	8,08%	11,64	0,1123
ICM-6 – Teaching Evaluation Programme participation rate	100%	100%	100%	100%	100%	100%	100%	100%	100%
ICM-7 – Alumni Efficiency rate			100%	100%	100%	94,81%	95,05%	91,93%	93,02%
ICM-8 – Graduation rate	92,15%	90,37%	Not applicable	Not applicable	Not applicable	96,55%	81,81%	82,09%	79,44%
IUCM-1 – Success rate						No procede	90,03%	91,16%	86,78%
IUCM-2 – First choice degree demand rate							85%	107,22%	186,25%
IUCM-3 – Second and subsequent choice degree demand rate							58,33%	58,89%	39,38%
IUCM-4 – Degree suitability rate							84,71%	88,41%	51,58%
IUCM-6 – Teaching Evaluation Programme participation rate	Not applicable	Not applicable	Not applicable	96,75%	95,09%	95,05%	93,02%	91,93%	92,39%
IUCM-13 – Student satisfaction with the qualification			7,76	7,62	7,12	6,94	6,57	7,09	7,21
IUCM-14 – Lecturer satisfaction with the qualification						9	9	7,9	8,51
IUCM-15 – Centre Admin and Support Staff satisfaction				5,03	7,9	6,82	6,76	7,33	7,5
IUCM-16 – Qualification Appraisal Rate							99,79%	99,65%	99,48%

*ICM – Madrid Regional Government Indicators
*IUCM – Universidad Complutense de Madrid Indicators

CUNEF is a highly specialised university education institution focused on the world of business management, finance and financial markets and instruments, and law. Our Degree and Postgraduate programmes set the standard in their respective fields.

To maintain this prestigious standing, CUNEF is committed to the continuous improvement of the teaching, research and services it provides as part of its quality commitment.

In accordance with its equality policy, CUNEF aims to fulfil the reasonable needs and expectations of its students, lecturers, admin and support staff, governing bodies and society at large. To this end the Centre defines the following quality objectives:

Pursue excellence in the education given to its students, combining cutting-edge knowledge with an eminently professional focus.
Offer its students the very best lecturers for their specialist qualifications in each operational sphere, combining knowledge and educational vocation with lengthy professional management experience in their respective fields.
Consolidate its image as a University Centre of acknowledged standing.
Underpin its professional network of lecturers, students, graduates/alumni and partner companies to generate benefits in the professional and managerial performance of its graduates/alumni.
Achieve an employability rate among graduates/alumni of close to 100%.
Commit to the internationalisation of its students, lecturers and programmes.
Ensure that the quality policy is understood and accepted by all CUNEF staff and is publicly available.
Ensure that the CUNEF Internal Quality Assurance System remains effective and is periodically revised. As the figure responsible for this institution, I undertake to develop and implement this quality policy in order to achieve the highest possible level of performance among our students.

Ana Isabel Fernández Álvarez

CUNEF Director

The Degree Quality Committee meets periodically over the course of the academic year, and at least twice per year. These meetings analyse information regarding the implementation of degree studies and the data revealed by the functioning of the quality assurance system. This review and study of information serves to identify areas for improvement that the Quality Committee conveys to CUNEF Management for approval and execution together with the tasks to be undertaken to eliminate any shortcomings.

The Degree Quality Committee maintains a register of quality improvements and strengths which it reviews and updates at least once per term, in accordance with the tasks being performed and the assessment of their impact.

Numerous improvement actions have been conducted since 2013 covering a wide range of aspects, resulting in managerial improvements and enhanced satisfaction among students and other stakeholders, alongside the public information made available about CUNEF itself and its academic offering, etc. Particular mention should be made by way of example of efforts to increase teaching coordination, to incorporate diploma supplements within the degree courses, to review and enhance the website and the information published there, etc.

For more specific and detailed information about how the Degree Quality Committee functions and the improvement proposals made, you may contact the email address sgic@cunef.edu

The employability of CUNEF alumni represents a variable which is analysed by the Quality Committees, serving to assess professional interest in the qualification while likewise ascertaining whether alumni have acquired the skills initially defined for the course.This analysis will allow proposals to be made to improve the qualification, or to eliminate it if the figures are below 20% for 5 consecutive years. To this end CUNEF conducts yearly surveys of alumni, asking them directly, as set out in the SIGC, whether the training they received has or has not proved useful in the pursuit of their profession, and their professional position before (if any) and after completing the qualification.CUNEF uses this information to conduct a study of whether the study curricula are appropriate or not, as well as the employability or professional prospects of alumni.

BBA + Master in Data Science

Program

Learning Option

Language

Credits