Unit information: Data Analytics in 2020/21

Unit name	Data Analytics
Unit code	EFIMM0104
Credit points	15
Level of study	M/7
Teaching block(s)	Teaching Block 2 (weeks 13 - 24)
Unit director	Dr. Crespo
Open unit status	Not open
Pre-requisites	None
Co-requisites	None
School/department	School of Economics
Faculty	Faculty of Social Sciences and Law

Description including Unit Aims

The aim of this unit is to teach some basic statistic and econometric methods in the context of real-world empirical problems. The first part of the course concentrates on basic statistical techniques which are required for the study of econometrics in the second part of the course. Although a number of key theoretical concepts are introduced, the emphasis is on applying statistical and econometric techniques to real-world problems in economics, finance and management.

Unit aims:

(1) To give students an understanding of basic concepts in statistics, which are used in economic and financial theory and form a foundation of econometrics.

(2) To teach econometrics to students whose primarily interest is not in econometrics, but to apply econometric techniques to real-world empirical problems. The unit will enable students to use these techniques in their dissertation and to have a general understanding of published econometric results.

Intended Learning Outcomes

At the end of the course a successful student will be able to:

1. interpret and analyse fundamental ideas in statistics such as frequency distributions, quantitative/qualitative data graphs, descriptive statistics, correlation, estimation, and hypothesis testing.
2. use simple estimation and hypothesis testing procedures in econometrics, and to recognise econometric results techniques to analyse and test economic hypotheses.
3. be proficient in the application of different data analysis techniques in order to use them in their future academic or professional career.
4. apply the relevant statistical/econometrics computer package to estimate regressions in the context of real-world economic problems.

Teaching Information

Teaching will be delivered through a combination of synchronous and asynchronous sessions such as online teaching for large and small group, face-to-face small group classes (where possible) and interactive learning activities

Assessment Information

Coursework (85%) and MCQ Test (15%).

Reading and References

Cortinhas C. and K. Black (2012), Statistics for Business and Economics, John Wiley & Sons, Ltd.

Stock, J. H. and M. W. Watson (2008), Introduction to Econometrics: Brief Edition, Pearson Education, Inc.