Degree in Business Intelligence and Data Analytics

Lead the transformation of companies through the use and analysis of data.


This course is designed as a review of the main mathematical methods that are required by students of business, economics and management, and data analysis. It assumes only a basic knowledge of mathematical analysis, and will build slowly from fairly elementary topics to an introduction to calculus and the more complex methods used in more advanced studies. This course seeks to help you in: a) Reviewing basic mathematical concepts. b) Practicing operations and estimations of quantities. c) Understanding how mathematics plays an important role in Business and Data Analysis.
Type Subject
Primer - Obligatoria
Previous Knowledge

The Learning Outcomes of this subject are:
RA.01 Solve basic operations without the use of a calculator
RA.02 Use mathematical language to describe and solve problems
RA.03 Apply critical analysis to problem-solving
RA.04 Analyze and describe functions
RA.05 Use functions in the context of Economics and Data Analysis


1. Basic concept review
2. Linear equations
3. Linear programming
4. Quadratic functions
5. Indices and logarithms
6. Mathematics of finance
7. Differentiation
8. Optimization of economic functions
9. Partial differentiation
10. Integration
11. Matrices
12. Vectors


Weekly teaching will consist of two lecturing sessions to explain basic concepts to apply knowledge to practical situations. Exercises in class will be solved and problems will also be proposed so that students can apply the concepts learned.
Each topic will have the following elements:
- Math review - Lecture
- Examples problems - Lecture
- Homework problems - Problem solving
- Practice problems - Problem solving


Continuous assessment has the following evaluation structure:
- Midterm Exam 30%: First part of subject.
- Final Exam 30%: Second part of subject. Includes topics from first part if midterm grade is less than 4.
- Individual assignments grade 20%: All subject. 6 homework.
- Attendance & participation 20%: All subject. Weekly assignments.

It is mandatory to have submitted four individual assignments to sit to the final exam.
Late deliveries of individual assignments will have a rating of zero.
The grade of the midterm, final and individual practice exams must be greater than 4 points each. That is, if you get less than a 4 in these concepts, fail the subject.
The subject will be passed if the overall score is higher than 5.

RETAKE POLICY: The Retake will consist of an exam that includes all the content of the subject.
Individual must be submitted to campus virtual before retake exam. Otherwise, the exam will not be possible.
Maximum grade to pass the course in the retake is 6.0.

Evaluation Criteria
Basic Bibliography

Ian Jacques, Mathematics for Economics and Business. Pearson Education, 9th edition, 2009.

Additional Material