Study plan Bachelor's Degree in Applied Statistics

Basic skills

  • Students must have and understand knowledge of an area of study built on the basis of general secondary education, and while it relies on some advanced textbooks it also includes some aspects coming from the forefront of its field of study.
  • Students must be capable of applying their knowledge to their work or vocation in a professional way and they should have building arguments and problem resolution skills within their area of study.
  • tudents must be capable of collecting and interpreting relevant data (usually within their area of study) in order to make statements that reflect social, scientific or ethical relevant issues.
  • Students must be capable of communicating information, ideas, problems and solutions to both specialised and non-specialised audiences.
  • Students must develop the necessary learning skills in order to undertake further training with a high degree of autonomy.

Specific skills

  • Identify and select data sources and clean them up for statistical processing.
  • Design surveys and exploit databases.
  • Choose the right sample type for the study.
  • Summarise and discover behaviour patterns in data exploration.
  • Design a statistical or operational research study to solve a real problem.
  • Recognise the usefulness of statistical inference and operational research, and apply these correctly.
  • Analyse data using statistical methods and techniques, working with qualitative and quantitative data.
  • Recognise the advantages and disadvantages of the procedures studied.
  • Identify the best statistical and operative research models for decision-making in each context.
  • Interpret results, draw conclusions and write up technical reports.
  • Correctly use the majority of statistical and research software available, choose the best one for each statistical analysis, and adapt it to the new needs.
  • Implement processes with programming languages and symbolic computation packages.
  • Identify the usefulness of statistics in different areas of knowledge and apply it correctly in order to obtain relevant conclusions.
  • Use bibliography or internet tools, specific to statistics or other related disciplines, both in English and in the first language.

Transversal skills

  • Develop critical thinking and reasoning and communicate ideas effectively, both in the mother tongue and in other languages.
  • Develop independent learning strategies.
  • Respect diversity in ideas, people and situations.
  • Generate innovative and competitive proposals for research and professional activities.
  • Coordinate and work in multidisciplinary teams.
  • Develop an interest in knowledge and interpretation of quantifiable phenomena.
  • Display a capacity for logical thinking, structured reasoning and synthesis.
  • Apply quality criteria to proposals and projects.
  • Display initiative and willingness to stay abreast of new knowledge.
  • Use information and communication technologies.
  • Recognise complex situations and design strategies to cope.
  • Express and rigorously apply the knowledge acquired to problem solving