Master's in Business Analytics & Artificial Intelligence and Sports Technologies & Digital Transformation Dual Degree Program
Stevens School of Business and Escuela Universitaria Real Madrid Universidad Europea (UEM) offer a highly-coordinated dual degree program in Business Analytics & Artificial Intelligence and Sports Technologies & Digital Transformation, providing you with a diverse skill set combining technical expertise and digital innovation in a sports industry setting.
In the first year, you will enroll full-time at the Stevens School of Business, taking courses within the Business Analytics & Artificial Intelligence program (21 credits). You will also enroll part-time at UEM within the Masters in Sports Technology & Digital Transformation program (15 credits). You will take online courses in the fall and spring semesters. During the summer, you will take three courses at the Escuela Universitaria campus in Madrid, Spain. You will also have an internship with Real Madrid Next and enjoy the "White Week" experience at Santiago Bernabéu Stadium. You will receive a diploma from each school after completion (approximately 12-16 months).
Program Benefits:
Enter The $41-Billion-Dollar Sports Tech Industry: The global sports technology industry is expected to grow 17.3% annually and reach $41.3 billion by 2028, according to a July 2022 report conducted by Polaris Market Research.
Specialized Expertise: Gain the skills to analyze data, derive insights, and apply analytical techniques to solve complex problems in the sports industry.
Internship with Real Madrid Next: Spend a summer studying and working in Madrid, Spain with a guaranteed internship with Real Madrid Next.
Careers:
Data Scientist
Analytics Consultant
Data Privacy Specialist
Business Development Manager
Digital Innovation Manager
Technology Consultant
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To learn more about this exciting program, speak to an advisor or attend an information webinar. Representatives from both Real Madrid Graduate School and Stevens School of Business will be present to answer your questions.
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Stevens Institute of Technology
Stevens Institute of Technology is a premier, private research university in Hoboken, New Jersey, overlooking the Manhattan skyline. Since its founding in 1870, technological innovation and entrepreneurship have been the hallmarks of Stevens’ education and research. Within the university’s three schools, Stevens prepares its more than 8,000 undergraduate and graduate students for an increasingly complex and technology-centric world. Our exceptional students collaborate closely with world-class faculty in an interdisciplinary, student-centric, entrepreneurial environment, readying them to fuel the innovation economy. Academic and research programs spanning finance, computing, engineering and the arts expand the frontiers of science and leverage technology to confront the most challenging problems of our time. Stevens is consistently ranked among the nation’s leaders in ROI and career services and is in the top 1% nationally of colleges with the highest-paid graduates.
About The MS In Business Analytics & Artificial Intelligence Program
In today's AI-driven economy, organizations urgently need leaders who can bridge the gap between business strategy and artificial intelligence.
The Business Analytics & Artificial Intelligence (BA&AI) master's program blends business strategy, analytics and artificial intelligence, equipping you with the tools to solve complex business challenges. You will gain expertise in statistical analysis, machine learning and AI applications, which are essential for navigating today’s AI-driven industries.
It provides comprehensive training beyond foundational data analysis, including specialized knowledge in emerging AI fields, such as machine learning, deep learning and generative AI in a business context. The program culminates in a capstone experience in which you'll work on a project, using real data, under the guidance of an industry mentor.
Curriculum for Business Analytics & AI
Courses (21 Credits)
BIA 568 Management of AI Technologies
Artificial Intelligence (AI) is an interdisciplinary field that draws on insights from computer science, engineering, mathematics, statistics, linguistics, psychology, and neuroscience to design agents that can perceive the environment and act upon it. This course surveys applications of artificial intelligence to business and technology in the digital era, including autonomous transportation, fraud detection, machine translation, meeting scheduling, and face recognition. In each application area, the course focuses on issues related to management of AI projects, including fairness, accountability, transparency, ethics, and the law.
BIA 580 Foundations of Business Analytics
This 3-credit course covers the major mathematical and statistical concepts that underly the field of business analytics to prepare students for the more advanced courses in the BI&A curriculum. The course material will span Linear Algebra, Differential Calculus, and elementary Probability and Statistics. It does so at an elementary level but at a level sufficient to prepare students for success in the more advanced topics covered in the remainder of the BI&A curriculum. Each mathematical and statistical concept is illustrated through one or more business applications that bridge the gap between theory and practice and demonstrate how analytics is applied in business. Additionally, the course is oriented towards data management and database disciplines to provide a seamless connection to the courses in the required database courses, Furthermore, concepts are illustrated via examples drawn from Digital Marketing, Finance, and Economics. The Python programming language is used for examples and homework assignments throughout the course because Python is the lingua franca of the business world.
MIS 630 Managing the Data Resource
This course deals with strategic uses of data, data structures, file organizations and hardware as determinants of planning for and implementing a enterprise-wide data management scheme. Major course topics include data as valuable enterprise resource, inherent characteristics of data, modeling the data requirements of an enterprise, data repositories and system development life cycles.
BIA 650 Optimization and Process Analytics
This course covers basic concepts in optimization and heuristic search with an emphasis on process improvement and optimization. This course emphasizes the application of mathematical optimization models over the underlying mathematics of their algorithms. While the skills developed in this course can be applied to a very broad range of business problems, the practice examples and student exercises will focus on the following areas: healthcare, logistics and supply chain optimization, capital budgeting, asset management, portfolio analysis. Most of the student exercises will involve the use of Microsoft Excel’s "Solver" add-on package for mathematical optimization.
BIA 652 Multivariate Data Analysis
This course introduces basic theory and methods underlying multivariate analysis. Students will study techniques used for regression, classification, dimension reduction, and clustering. They will build expertise in applying these techniques to real data through class exercises and a project, and learn how to present results. This proficiency will enable students to become sophisticated data analysts, and to help make more informed design, marketing, and business decisions. Python will be the default programming language used for the course.
BIA 654 Experimental Design
This course covers fundamental topics in experimentation, including hypothesis development, operational definitions, reliability and validity, measurement, and variables, as well as design methods, such as sampling, randomization and counterbalancing. The course also introduces the analysis associated with various experiments. At the end of the course, students present a project, which consists of designing an experiment, collecting data and trying to answer a research question.
MIS 637 Data Analytics and Machine Learning
This course will focus on Data Mining & Knowledge Discovery Algorithms and their applications in solving real world business and operation problems. We concentrate on demonstrating how discovering the hidden knowledge in corporate databases will help managers to make near-real time intelligent business and operation decisions. The course will begin with an introduction to Data Mining and Knowledge Discovery in Databases. Methodological and practical aspects of knowledge discovery algorithms including: Data Preprocessing, k-Nearest Neighborhood algorithm, Machine Learning and Decision Trees, Artificial Neural Networks, Clustering, and Algorithm Evaluation Techniques will be covered. Practical examples and case studies will be present throughout the course.
Escuela Universitaria Real Madrid Universidad Europea
Universidad Europea's mission is to provide our students with a holistic education and shape leaders and professionals who are prepared to respond to the demands of a global world. In addition, Universidad Europea aims to empower our students to add value to their professional fields and contribute to social progress with their entrepreneurial spirit and ethical values. Universidad Europea also aim to generate and share knowledge through applied research, while also contributing to societal progress in order to place us at the forefront of intellectual and technical development.
Curriculum for Sports Tech Program
Courses (15 Credits)
M2 Sports Performance
M3 Big Data and AI in Sports Management
M6 Smart Venues
M8 Sports Technologies
M10 Internships
M.S. in Business Information & Analytics: Facts & Figures
[The opportunity to] network with amazing people in the sports industry is so incredible and valuable. The experience has been incredible.
Aristides Costeas '22
Madrid was incredible. It was my first time in Europe, and working inside one of the most successful sports clubs in the world was really spectacular. I got to see why Real Madrid is one of the best in the world, not only on the field, but in how they do marketing, social media and operating the business.
Bryan Campos '22
[The opportunity to] network with amazing people in the sports industry is so incredible and valuable. The experience has been incredible.
Aristides Costeas '22
Madrid was incredible. It was my first time in Europe, and working inside one of the most successful sports clubs in the world was really spectacular. I got to see why Real Madrid is one of the best in the world, not only on the field, but in how they do marketing, social media and operating the business.
Bryan Campos '22