Data Science, B.S. (Madrid)

The Bachelor of Science in Data Science requires 120 credit hours of coursework, as follows:

University Undergraduate Core: 32-35

Major Requirements      

• CSCI 1070 Introduction to Computer Science: Taming Big Data (3 credit hours)
• CSCI 1300 Introduction to Object-Oriented Programming (4 credit hours)
• CSCI 2100 Data Structures (4 credit hours)
• CSCI 4710 Databases (3 credit hours)
• CSCI 4750 Machine Learning (3 credit hours)

Mathematics/Statistics Requirements     

• MATH 1510 Calculus I (4 credit hours)
• MATH 1520 Calculus II (4 credit hours)
• MATH 1660 Discrete Mathematics (3 credit hours)
• MATH 2530 Calculus III (4 credit hours)
• MATH 3110 Linear Algebra for Engineers 
• or MATH 3120 Introduction to Linear Algebra (3 credit hours)
• STAT 3850 Foundation of Statistics (3 credit hours)
• STAT 4870 Applied Regression (3 credit hours)
• STAT 4880 Bayesian Statistics and Statistical Computing (3 credit hours)

Data Science Integration Requirements 

• DATA 1800 Data Science Practicum I (1 credit hours)
• DATA 2800 Data Science Practicum II (1 credit hours)
• DATA 4961 Capstone Project I (2 credit hours)
• DATA 4962 Capstone Project II (2 credit hours)

Major Electives (12 credit hours)

Select four courses, must include at least two CSCI courses and at least one STAT course, from the following:

• CSCI 2300 Object-Oriented Software Design     
• CSCI 2500 Computer Organization and Systems           
• CSCI 2510 Principles of Computing Systems    
• CSCI 3100 Algorithms  
• CSCI 3300 Software Engineering          
• CSCI 4740 Artificial Intelligence 
• CSCI 4830 Computer Vision     
• STAT 4800 Probability Theory   
• STAT 4840 Time Series            
• STAT 4850 Mathematical Statistics       

Non-Course Requirements

All Science and Engineering B.A. and B.S. students must complete an exit interview/survey near the end of their bachelor's program. 

Continuation Standards

Students must have a minimum of a 2.00 cumulative GPA in data science major courses by the conclusion of their sophomore year, must maintain a minimum of 2.00 cumulative GPA in these courses at the conclusion of each semester thereafter, and must be registered in at least one data science course counting toward their major in each academic year (until all requirements are completed).

All students are encouraged to meet with their advisor/mentor at the beginning of their first semester to obtain a roadmap. Requirements, course availability and sequencing are subject to change.

Data science experts are highly demanded by companies worldwide. Indeed, the launch of B.S. in this field is relatively new, so far CS/math graduates have filled these positions. Consequently, companies would be bidding for you as an expert in data science.

As a graduate in data science you have a wide range of career opportunities across various (any) industries like data scientist, data analyst, machine learning engineer, business analyst or artificial intelligence analyst.

You will also have opportunities to do internships in Spanish companies, putting your theoretical knowledge to work.

• Luis Miguel Anguas Márquez, Ph.D., program director
• Anas Abbood, Ph.D.
• María Félix Soler, M.S.
• Javier González Pizarro, Ph.D.
• Ana Granados Sanandrés, Ph.D.
• Álvaro Illán, M.S.
• Atanas Karaguiozov, M.S.
• Jorge Martínez, Ph.D.
• Fairouz Medjahed, Ph.D.
• Ana María Portilla Ferreira, Ph.D.
• Asad Ur Rehman, Ph.D.

SLU-Madrid is committed to providing a quality Jesuit education at an affordable price. Tuition rates at the Madrid campus are approximately 40% lower than at comparable private universities in the U.S.

If you have questions or would like to speak with a financial aid officer, email us at financialaid-madrid@slu.edu. 

• Tuition and Fees
• Scholarships and Financial Aid

To be admitted to the major, you must have at least a 2.00 cumulative average and complete a declaration of major form, available in the Office of the Registrar. Upon acceptance to the program, you will be assigned a departmental advisor.

To be certified for graduation, you are required to:

• Have at least a 2.00 cumulative average, a 2.00 average in the major and a 2.00 average in the minor or related elective hours.
• Complete 30 of your final 36 credits at Saint Louis University (either the Madrid or St. Louis campus).
• Submit the online application for degree before the beginning of the semester in which you intend to graduate.