Master in Business Analytics & Data Science
(título propio)
Upon the successful completion of any of EU's master's degrees, graduates have a wide array of career options and business opportunities available to them. In response to the growing demand for flexible and entrepreneurial business professionals, EU's programs are designed to foster the skills required for a successful career in the international business arena.
EU's graduates possess an international mindset, multicultural awareness and are innovative thinkers. This makes them ideal candidates for positions at large, multinational companies and dynamic, disruptive entrepreneurs ready to start their own businesses.
Career Options
The Master's in Business Analytics & Data Science (título propio) provides students with the theoretical and practical skillsets necessary to succeed in the fields of business analytics and data science. Upon successful completion of this master's degree, students might be interested in the following job positions.
Data Analytics Consultant
The role of a data analytics consultant involves translating numerical data into a more accessible, comprehensible form. Data analytics consultants work with data sets and models in order to derive meaningful insights and solve problems, combining analytical acumen with business expertise to deliver the most relevant solutions possible.
Data analytics consultants should possess exceptional critical thinking skills and data visualization abilities. Problem-solving acumen and effective communication skills are also valuable in this role.
Operations Analyst
Operations analysts are primarily responsible for identifying inadequacies in business models and operations. Once these flaws have been identified, operations analysts will then carry out research, investigate workflows, and recommend changes, while also conducting internal audits.
Analytical skills are essential in this career, as problem-solving is the operations analyst’s main task. Due to the multidisciplinary nature of their work, analysts must also be able to work effectively as part of a team and communicate information clearly and concisely.
Data Scientist
A data scientist collects information such as usage statistics and analyzes it to better understand how a business performs and to advise the business based on those metrics. Data scientists also build artificial intelligence tools that automate certain business processes.
Data extraction, transformation, and visualization are all essential skills for data scientists. They also require a thorough knowledge of math, particularly statistics, and further benefit from fluency in one or more programming languages.
Financial Risk Manager
A financial risk manager identifies and analyzes threats to assets, earning capacity, or the success of any given business. They can work in various industries, including sales, marketing, financial services, and more. Many financial risk managers specialize in business-focused areas such as credit or market risk.
Financial risk managers should possess a comprehensive knowledge of finance, effective communication skills, and solid analytical thinking abilities. Finance modeling and statistics are also highly valued in candidates seeking this position.
Areas of Work
The Master's in Business Analytics & Data Science (título propio) presents students with the opportunity to obtain key theoretical and practical expertise in both business analytics and data science fields. Graduates may wish to consider employment in the following professional sectors:
Business analysis consultancy is the process by which businesses adopt statistical methods and technologies in order to effectively analyze historical data. This provides them with new insight and improves strategic decision-making. Business analysis consultancy revolves around assisting clients by documenting and identifying their various business needs. These needs can range from anything from establishing new IT systems, to finding innovative digital marketing solutions.
Project management is an essential element of every successful organization and is a leadership role necessitating the synthesis of many skills. Project managers are responsible for hitting all goals and targets, monitoring the workflow, and troubleshooting any issues that may arise. This role exists in nearly every industry, and project managers will benefit from different skills depending on their sector.
Data analytics helps individuals and organizations make sense of complex data. It is the science of analyzing raw data in order to make conclusions based that information. Data analysts use statistics, trends, machine learning, and other data tools to help businesses with their decision-making processes.
Cybersecurity management covers an organization’s strategic-level capability to protect valuable information and resources from malware, data breaches, cyber-attacks, and theft. A manager working in cybersecurity monitors all channels through which sensitive information may flow and manages resources to lower and prevent risk.
