Become a Data Analyst
Prepare for a data science career. Learn the skills and tools to discover insights, communicate critical findings, and create data-driven solutions.
Why should I apply for the Data Analyst Bachelor's degree?
You should enroll in the program because you will master the skills you need to establish a successful Data Science career. You will learn how to analyze data and communicate insights using powerful tools like Python, R, SAS, and SQL. Having these skills will qualify you for a role as a Data Analyst. Demand for qualified professionals with advanced data related skills has never been higher, as data analytics quickly becomes a top priority for organizations. Our curriculum was developed together with private and public partners to ensure students master the most cutting-edge tools, and our graduates will be job-ready for the time they will complete their curriculum. This is the perfect study program for anyone who wants to become a Data Analyst or plans the next career move in data-focused fields.
An internationally oriented Data Analyst. Lectures are taught in English, giving you the skills for being competitive all over the world.
One program, two degrees. Selected students will be proposed to spend a semester at Paris 13 University (Paris, France) to improve their skills and to gain a double degree.
What kind of topics will the program cover?
The topics we will cover include Programming, Computer Systems Architecture, Data Base Design and Applications, Probability and Statistics, Data Wrangling, Exploratory Data Analysis, Programming, Data Storytelling, and more.
The degree in details
The idea of a Bachelor's degree in Data Analytics, in the L41-Statistics class, was born from the need of filling the gap in the national education programs for a growing sector that is asking to satisfy skills for educating people to become one of the most professional figures known as Data Analyst.
Indeed, in the Big Data age, there is a growing and growing demand by organizations (e.g. companies, banks, insurance firms, research centers) for Data Analysts capable of mastering and analyzing the information deluge and the big volume of data that is now ubiquitous in various economic, social and scientific related application fields. This is now possible thanks to the availability of new storage and computational resources that manage the immense flows of data produced by the web, social networks and media, sensor networks, smart meters, and other sources.
Knowing how data are collected, codified, processed, stored and released, linked, and how they can be selected and analyzed to extract high value-added knowledge are the main skills needed to profitably tackle the next challenges in the information society.
The Bachelor's degree program
The Bachelor's degree belongs to L-41 Statistics class.
Although the L41-class is a traditional degree program in Statistics, it allows organizing degree programs that provide for an adequate education in quantitative and applied computer science-related disciplines.
In a contextual strategy, the degree proposed by the Department of Mathematics and Physics is able to meet the aims of the offered courses with a program that is mainly oriented to the development of an applied analyst as a job-ready graduate, or at giving our graduates the possibility to access master's programs in Computer Science, Economics, Statistics, or, of course, Data Science.
Educational and cultural objectives
The Bachelor's degree in Data Analytics is mainly focused on teaching methods and techniques in the area of maths (analysis and calculus), inferential statistics and exploratory data analysis, computer science methods and tools for database design and management, fundamentals of programming, basics of epistemology for the research, econometrics, experimental and dynamic models. The graduate will gain knowledge and skills from different fields that will give him/her a broad and analytic vision on the tools for the management, process, and presentation of insights from data, in a strongly interdisciplinary and integrated context. Besides learning technical skills, the graduate will be able to use such tools in different application fields such as the economic-financial, social, demographic, biomedical, environmental and energy sectors. Additionally, during the program, the student in Data Analytics is trained to design and analyze real data intensive practical case studies during stage periods in external organizations.
Besides some classical courses, the innovation in our program is in including, together with traditional courses:
learning of the principal statistical and data mining software (SAS Miner, or the open-source Weka, R, Python) through practical classes in computer labs with experts trainers;
the solution of practical problems and case studies based on data coming from databases of companies (for example, from TLC or IT companies) or public institutions (e.g. Istat, Inps).
The specific skills acquired by the graduates in Data Analytics are the following:
statistical and computational skills for the processing and the analysis of high dimensional, or complex data coming from different and unstructured sources; high throughput data (for example, from sensors of financial markets);
knowledge of statistical methodologies, Data Mining and optimization techniques for the solution of complex problems and enforcement capacity in real scenarios;
experience in analysis of relational Big Data from the Web and knowledge of Social Network Analysis;
technical skills of prediction and monitoring of evolutionary phenomena;
use of statistical software and specific programming languages such as R and Python;
knowledge of database management systems and distributed computing ones, also in a cloud environment;
communication of the analysis results in skills through presentations and reports with visual analytics tools.
An international program
The choice for an English denomination of the course is primarily due to its relation with a new discipline that is gaining increasing popularity on the international level and its main professional figure, known as Data Analysts. A second motivation is due to the will for an international recognition of the degree by:
teaching lectures in English language and
giving a double degree, in partnership with a foreign university.
All that is related to teaching activities are in English: taught classes, practical classes, books, and teaching materials.
About the double-degree, the University Paris 13 – Université Sorbonne Paris Cité (France) agreed to participate as the partner of the program.
Finally, the University Caddi Ayyad di Marrakech (Morocco), one of the most important universities of Morocco, showed a strong interest to become a partner of the program.
Opportunities for Data Analysts
This degree in Data Analytics is able to fulfill its goal by a program organization that is mainly oriented to the education of an applied analyst as a job-ready graduate, in the following fields:
Production and commercial companies and e-commerce;
Media and communication companies;
Pharmaceutical and telecommunications industries;
Logistics and transport industries;
Insurance and financial institutes and banks;
Health and health prevention companies;
Consulting and market research companies;
Public and private research institutions;
Research and monitoring centers for energy and environment.
This degree in Data Analytics gives a solid background to access master’s programs, e.g., in Data Science, Statistics, Computer Science, Economics.