Master in Strategic Business Analytics
Spain Online, Spain
Master degree
DURATION
12 months
LANGUAGES
Spanish
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
TUITION FEES
STUDY FORMAT
Blended, Distance Learning
Key Summary
The Master in Strategic Business Analytics is aimed at all those professionals who want to lead the analytical transformation of companies with a business focus.
The program prepares all participants to understand, apply and be an advanced user of Analytics without needing to be a technology expert. At the end of the master's degree, the professionals who have completed it will be great non-data scientist analysts.
Where is the training given?
The master's degree can be completed online and blended or blended on the EAE Business School campuses in Barcelona and Madrid.
Virtual campus
Contact Between Master's Attendees and Teaching Staff Helps Improve Communication, Interaction and Networking. The Virtual Campus is a very active community in which ideas and practical cases are shared, in addition to being a space for meeting and debate on topics from both the study program and current affairs.
Faculty
All Teachers Have Rich Professional Experience and Are Experts in Their Respective Subjects. The closeness and personal treatment with the students allows any doubt or query to be resolved in the most satisfactory way.
Material
Thanks to the Virtual Campus System, the permanent updating of information is guaranteed. In this way, the contents of the master's degree and other related topics of interest are always within the reach of the students.
Module 1. Business Analytics and Artificial Intelligence in business
- Identify and address challenges associated with new technologies, applying data analysis techniques to drive improvement and change.
- Take advantage of the opportunities provided by new technologies and emerging trends, to improve and maintain organizational competitiveness.
- Apply supervised and unsupervised learning models in data analysis, in order to understand their potential and limitations, and evaluate their strategic relevance for decision making.
- Plan, manage and lead data analysis projects and artificial intelligence applications, ensuring their success and compliance with business objectives.
Module 2. Strategic data management
- Apply appropriate methodologies for data collection, storage and management, ensuring the integrity and availability of information.
- Know different types of data and their grouping between structured and unstructured.
- Understand the relevance, challenges and opportunities derived from efficiently managing large volumes of data.
- Evaluate and guarantee the quality of the data used in the analysis, considering its different sources and characteristics relevant to solving business problems.
- Understand and evaluate data security in different environments.
- Understand and apply ethical and legal principles in relation to the collection, storage, analysis and use of data, ensuring privacy and complying with relevant regulations.
- Know communication protocols between systems.
Module 3. Data analysis for decision making
- Perform data processing for effective analysis, identifying patterns, trends and relationships relevant to decision making.
- Apply Data Mining techniques to discover hidden knowledge in massive data sets and use them for idea generation and process optimization.
- Use of specific data analysis tools.
- Analyze data generated on social networks, identifying user behavior patterns, feelings and opinions.
- Analyze vision data, such as images or videos, to obtain useful information in decision making.
Module 4. Visualization and effective communication of data
- Create clear and effective visual representations of data, interpret graphs and visualizations to communicate valuable and relevant information to stakeholders.
- Prepare clear and concise reports and presentations on the results of data analysis, and effectively communicate findings and conclusions to different audiences.
- Communicate results from different intelligent systems in different scenarios.
- Design and execute experiments using data, evaluating the effectiveness of different approaches and solutions to improve business processes and performance.
- Analyze implementation scenarios to define contingency plans.
- Experience different scenarios using communication protocols between systems.
- Ability to measure the impact on the business of incorporating intelligent systems.
Module 5. Experimentation, simulation and predictive models
- Design and execute experiments using data, evaluating the effectiveness of different approaches and solutions to improve business processes and performance.
- Analyze implementation scenarios to define contingency plans
- Experience different scenarios using communication protocols between systems
- Ability to measure the impact on the business of incorporating intelligent systems
Module 6. Making strategic and operational decisions based on data analysis
- Be able to make decisions based on data analysis and understand its strategic importance.
- Identify opportunities for continuous improvement through KPI analysis
- Identify opportunities for improvement in organizational preparation and propose actions to improve it.
- Maximize the impact of data analysis on business success through the effective application of analytical processes.
- Understand the life cycle of an analytical process based on artificial intelligence
- Optimize the efficiency and effectiveness of data analysis in the functional areas of the company, generating value and making informed decisions.
Final work of master
Methodology
The Methodology Under Which The Master's Degree Is Developed Enhances The Talent Of The Students And Is Based On Six Axes:
- Targeted Flexibility
Adapted to the day-to-day reality of professionals, without losing interaction with content, teachers and other students.
- Personalization
The Duration, The Itinerary Of The Resources And The Level Of Explanation Is Adapted To Each Student.
- Flipped Classroom System
The student who has access to all the content and resources sets his learning pace and resolves his doubts with the facilitator.
- Accompaniment and Teaching
Support and teaching are two differentiating aspects of the Eae Business School training model. Characteristics According to Profile.
- Training Resources and Activities
Eae Business School Offers A Series Of Resources And Training Activities That, Together With Continuous Evaluation, Facilitate The Acquisition Of Knowledge And The Development Of Skills.
- Master's Final Project. Tfm
Carried out by the student with the supervision of the expert tutor, it allows you to choose between three different modalities, depending on the master's degree and your interests.
Double Degree
Once the student has successfully completed the Master's Degree, they obtain two degrees,
One Master's Degree from Eae Business School and another Master's Degree in Training
Permanent Il3 - Universitat De Barcelona.
Among the main objectives of the Master's Degree is to prepare the student to be able to:
Global vision
Understand The Impact And Potential Improvements That Business Analytics Can Bring To The Company.
Competency Development
Develop the ability to solve specific business problems using data
Professional growth
Understand the Fundamentals and Key Concepts Related to Making Strategic Decisions Based on Data Analysis
Decision making
Understanding the Concepts and Applications of Big Data in the Business Environment and Its Impact on Decision Making
Innovation
Explore the practical applications of artificial intelligence and machine learning.
The Professional Careers Service is the meeting point between students, collaborating companies and other business groups interested in hiring professionals from EAE.
Students have the Employment Portal at their disposal, to consult national and international job offers and access the offer of professional practices. Internships allow students to collaborate with companies to complete their academic training and continue developing their skills in the work environment.