DIGITAL AND ANALYTICS LAB
cod. 1009374

Academic year 2024/25
2° year of course - Second semester
Professor
Gabriele SACCENTI
Academic discipline
Economia e gestione delle imprese (SECS-P/08)
Field
A scelta dello studente
Type of training activity
Student's choice
21 hours
of face-to-face activities
3 credits
hub: PARMA
course unit
in ITALIAN

Learning objectives


At the end of the lab, students will be able to:

- Understand the main tools and channels of digital marketing.

- Develop online strategies based on market context, business objectives, and key touchpoints.

- Design and manage online advertising campaigns across multiple platforms.

- Apply SEO techniques to improve visibility on search engines.

- Interpret traffic and user behavior data using digital analytics tools.

- Collaborate in teams to develop a digital project.

Prerequisites


Only second-year students are allowed to enroll. It will possible to enroll for the lab since 31st January 2025 starting from 09:00 a.m. registering online. The link will be displayed here. Only 30 students can enroll and the first 30 students filling in an online form will have the chance to enroll.

Course unit content


The Digital and Analytics Lab is a practical and intensive course designed for final-year master's students.
Its main objective is to provide an operational understanding of the fundamental tools of digital marketing and digital data analysis.

The course is structured into six sessions, each focused on a key component of digital marketing:

- Introduction to Digital Marketing: analysis of strategic objectives, the conversion funnel, and key performance indicators (KPIs) used to measure success.

- E-commerce: study of business models, design of effective online shopping experiences, and analysis of platforms and industry trends.

- SEO (Search Engine Optimization): basic principles of technical and content SEO, and the use of professional tools like SEMrush and SEOZoom for analysis and benchmarking.

- Digital Advertising Campaigns: planning, management, and optimization of campaigns on Google Ads, Meta Business Manager, and TikTok Ads.

- Digital Analytics: introduction to Google Analytics 4, analysis of user behavior, reporting, and data interpretation through Google Search Console.

- Project Work: development of a group project where students will apply the skills acquired throughout the course. The project will be presented and discussed in class on the final day.

Full programme

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Bibliography


Course slides, online platforms, business cases, practical exercises, and readings recommended by the teacher.

Teaching methods


The course is entirely hands-on: students are expected to actively participate using their own laptops.
During the sessions, group work will be assigned, along with guest lectures from industry professionals.
The final project work will be an integral part of the learning experience.

Assessment methods and criteria


The assessment will take place through the presentation of the group project work on the final day of the course.
Evaluation will be based on the quality of the analysis and proposed solution, the ability to effectively use digital tools, communication skills, and teamwork.

Other information


For further information please contact the teacher at: gabriele.saccenti@unipr.it

2030 agenda goals for sustainable development

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Contacts

Toll-free number

800 904 084

Student registry office

E. segreteria.economia@unipr.it
T. +39 0521 902377

Quality assurance office

Education manager:
Mrs Maria Cristina Tamani
T. +39 0521 032454
Office E. didattica.sea@unipr.it
Manager E. mariacristina.tamani@unipr.it 

President of the degree course

prof. Cristina Ziliani
E. cristina.ziliani@unipr.it

Faculty advisor

prof. Silvia Bellini
E. silvia.bellini@unipr.it

Carrer guidance delegate

prof. Chiari Panari
E. chiara.panari@unipr.it

Tutor Professor

prof. Silvia Bellini
E. silvia.bellini@unipr.it

Erasmus delegates

prof. Maria Cecilia Mancini
E. mariacecilia.mancini@unipr.it 
prof. Donata Tania Vergura
E. donatatania.vergura@unipr.it

Quality assurance manager

prof. Silvia Bellini
E. silvia.bellini@unipr.it

Internships

E. tirocini@unipr.it

Tutor student

dott. Anna Boncompagni

E. anna.boncompagni@unipr.it 

dott. Sofia Laudani

E. sofia.laudani@unipr.it