Study module

Show teaching events
A220A0752 Analytics for Business, 6 cr 
Code A220A0752  Validity 01.08.2017 -
Name Analytics for Business  Abbreviation Analytics for B 
Credits6 cr   
TypeBasic studies  
  Grading scaleStudy modules 0-5,P/F 
  Eligibility for post-graduate studiesno
    Allowed to study several timesno
Organisation LUT School of Business and Management 

Azzurra Morreale 

Description by Study Guide

Location: Lappeenranta
This course is only for master's level students including exchange students.


M.Sc. (Econ. & Bus. Adm.) 1-2



Teaching Language 


Teacher(s) in Charge 

Post- doctoral researcher, Azzurra Morreale


This course enables to learn a significant understanding of data science: the fundamental concepts and principles that underlie techniques for extracting useful knowledge from data. These concepts underlie the analysis of data-centered business problems, the creation and evaluation of data science solutions, and the evaluation of general data science strategies, and proposals. Through several practical examples, at the end of the course the student will acquire a broad range of techniques and practical skills to independently plan and create analysis tools able to finding anomalies, patterns and correlations within large data sets to predict outcomes. Students will be also able to put some models and analysis methods into use with MATLAB and EXCEL.


Core content: Data understanding and data preparation; supervised learning (decision-trees, linear regressions, logistic regression, support vector machine); unsupervised learning (clustering methods); performance measure and overfitting: (Roc curve, area under Roc (Auc), confusion matrix, cross-validation)

Teaching Methods 

Lectures and exercises 35 h, reading materials and preparation for the exam 75 h. Course work 50 h. Total workload for the student 160 h.

Examination in Examination schedule (Yes/No) 


Examination in Moodle (Yes/No) 


Examination in Exam (Yes/No) 


Assessment scale and assessment methods 

Numerical assessment (0-5) will be used.

During the course the will be several single assignments (50%), where the illustrated methods are applied to new data and a group assignment (50%), where in a seminal paper, at the end of the course, the group will work on a real case study. (edit. 11.2.2020)

Course Materials 

Lecture materials, assigned reading, course book (Data Science for Business: What you need to know about data mining and data-analytic thinking, by Foster Provost, Tom Fawcett, 2013- available as an eBook in the library database)


BM20A5001 Principles of Technical Computing course or the same in Finnish is required.


Limitation for students? (Yes, number, priorities/Leave empty) 

Only for master degree students.

Places for exchange-students? (Yes, number/No) 

max 15

Places for Open University Students?(Yes, number/No) 



Current and upcoming courses
Functions Name Type cr Teacher Timing
  Analytics for Business  COURSE  Azzurra Morreale 
02.03.20 -17.04.20 -

Upcoming exams
No exams