For prospective students | UniBG ECONOMICS AND DATA ANALYSIS

For prospective students

To help our prospective students with a weaker background in Math, Econometrics and/or Economics to fill the gap and conveniently attend classes, we suggest some basic materials to go through during the summer.


For the a.y. 2023-24, the EDA offers first-year students two crash courses online:
  1. Introductory Mathematical Methods for Economists 
  2. Introductory Econometrics
Crash courses are provided online by the Microsoft Teams platform

Introductory Mathematical Methods for Economists (Prof. Alessandro Vaglio) - Here the link Teams

  • Monday, September 11th, h.17-19
  • Tuesday, September 12th, h.17-19
  • Wednesday, September 13th, h.17-19 
  • Thursday, September 14th, h.17-19
  • Monday, September 18th, h.17-19
  • Wednesday, September 20th, h.17-19
  • Tuesday, September 26th, h.17-19

Introductory Econometrics (dott. Elona Harka) - Here the link Teams

  • Wednesday, September 13th, h.10:30-13:30
  • Friday, September 15th, h. 14:30-17:30
  • Monday, September 18th, h. 10:30-12:30
  • Thursday, September 21st, h. 16:30-18:30
  • Monday, September 25th, h. 10:30-12:30
Basic Mathematical Background

The indispensable background needed to safely start the EDA program can be summarized as follows

  • Linear Algebra: vector spaces, vectors, matrices, linear transformations, systems of linear equations.
  • Calculus: functions of several variables, continuity and differentiability. Derivatives and simple integrals. Mathematical programming (maxima and minima of functions). Convexity.Implicit function theorems.

This corresponds more or less to the contents of a first-year course in Principles in a degree in Economics (or Business Economics).

Italian- speaking students may refer to:
Manuale modulare di Metodi Matematici (Moduli 1,2,3,4,5) E.Allevi, M.I.Bertocchi, C.Birolini, G.Carcano, A.Gnudi, S. Moreni, Giappichelli Editore, Torino, ultime edizioni.

A nice book in English instead is:
Sydsaeter et al. “Essential Mathematics for Economic Analysis” Pearson 2016 


Some more advanced or specific  mathematical topics and techniques might emerge early during EDA, like for instance:

  • Eigenvalues and eigenvectors
  • Differential and difference equations
  • Intertemporal optimization

If  after covering the more basic material there remains enough time, some of the above topics might be sketched during the introductory course. Materials will be made available in due course.



  • Any student holding a degree in Mathematics, Physics, Engineering can safely assume he /she is in con full control of these subjects; those interested in a preview of the economic applications can refer to the faculty for suggestions on readings. Students with other scientific degrees should evaluate their background against what has been said above and, when in doubt, ask for advice.
  • Students with a degree in Economics might find in the introductory course the opportunity for a useful review and for filling gaps on particular topics. This applies in particular to students with a background  in Business Economics.
  • Students with non-economic and non-scientific backgrounds should definitely care about their mathematical skills and profit of the opportunities to enhance them.
Basic Econometric Background

Please see Part II, in particular Chapters 4-7 of the Stock & Watson (2019) textbook:

Basic Economic Background

The knowledge of basic microeconomic concepts is highly recommended. The reference book is H. R. Varian, Intermediate Microeconomics: A modern Approach (2010), Norton & Company, New York.


  • Consumer Theory (ch. 2, 3, 4, 5, 6, 8, 9, 12, 14, 15)
  • Firm and Market (ch. 1, 16, 18, 19, 20, 21, 22, 23, 24, 25, 27, 28)
  • Welfare and Public Goods (ch. 33, 34, 36)