Bachelor Degree in Information Systems

Education objectives

In this degree, it is intended that students acquire skills to analyze, design and implement systems and information technologies, providing a link between the different business areas and the area of information systems. In this context, by the end of the program, the Graduated in Information Systems shall:

  • Know the fundamentals of information systems as tools for effective increase productivity;
  • Master the concepts and theory that explains and motivates the methods and practices of the development and use of information systems in organizations as ways to increase organizational performance;
  • Understand the technical aspects of computer architecture, operating systems and connecting information resources via computer networks;
  • Be able to identify different approaches to physical design information systems using Systems Managers Database and development environments;
  • Be able to manage projects of information systems.

For more information about this degree, click here.

General characterization

DGES code

8259

Cicle

Bachelor (1st Cycle)

Degree

Bachelor

Access to other programs

This Undergraduate Program gives acess to a Master Degree, confirm ours here.

Coordinator

Maria Manuela Simões Costa

Opening date

September 2024

Vacancies

43

Fees

€ 697

Schedule

Working Hours

Teaching language

English

Degree pre-requisites

The study program is organized in 6 semesters for a total of 180 ECTS divided into five scientific areas (Informatics, Mathematics and Statistics, Business Sciences, Social and Behavioral Sciences, Informatics, or Mathematics and Statistics, or Business Sciences, or Social and Behavioral Sciences).


Out of the 180 ECTS required to complete the course, 150 correspond to mandatory subjects. Additionally, the student must choose five elective course units that will correspond to 30 ECTS. All elective courses can be taken at Universidade Nova de Lisboa or abroad (for example the Erasmus Program).

Conditions of admittance

Calendar of the 2024 National Higher Education Access

1st Phase:

2nd Phase:

 

Establishment Code: 0906

Course Code: 8259

Formula of Applicants Grade:

  • Secondary school grade: 65%
  • Entry Exam: 35%

Entrance Exam (1 of the following):

  • 04 - Economy
  • 16 – Mathematics

Exams (1 of the following):

  • 712 - Economy A
  • 635 - Mathematics A or 735 - Mathematics B

Minimum Grades:

  • Applicants Grade: 100
  • Entry exam grade: 95

Prerequesites: None

Last Placement of the 2022-23 General Quota

  • 1st Phase - 17,46
  • 2nd Phase - 17,78

Evaluation rules

The assessment method will be continuous assessment, i.e. through individual or group work, projects, quizzes, tests/exams, etc.

At the beginning of each academic year, it is up to each teacher of each Curricular Unit (CU) to define how assessment will be carried out in their CUs, and this information is then made available via the student platform.

Structure

1º year - Autumn semester
Code Name ECTS
100001 Linear Algebra 4.0
100008 Mathematical Analysis I 5.0
100023 Organizations Behavior 4.0
100025 Computation I 7.0
100068 Business Management 4.0
100094 Information Systems 6.0
1º year - Spring semester
Code Name ECTS
100010 Mathematical Analysis II 7.0
100027 Computation II 6.0
100035 Personal Development I 2.0
100156 Statistics and Probability Distributions 6.0
100137 Technologies and Web Apps 5.0
100102 Theory and Practice of Information Systems 4.0
2º year - Autumn semester
Code Name ECTS
100006 Systems Analysis 6.0
100013 Databases I 6.0
100029 Computation III 6.0
100071 Information Technologies Hardware and Software 6.0
100161 Statistical Inference 6.0
2º year - Spring semester
Code Name ECTS
100014 Databases II 6.0
100136 Mobile Apps Development 5.0
100063 Information Systems Project Management 5.0
100075 Human - Computer Interaction 5.0
100236 Computer Networks & Cloud Computing 5.0
100105 Web Marketing and E-business 4.0
3º year - Autumn semester
Code Name ECTS
100239 Cybersecurity 4.0
100040 Personal Development II 2.0
100147 Geospatial Intelligence 4.0
100017 Business Process Management 6.0
100101 Artificial Intelligence 6.0
100088 Project of Information Systems Powered by Webasto 8.0
3º year - Spring semester
Code Name ECTS
Options
100153 Network Analysis 6.0
100254 Applied Cybersecurity 4.0
100225 Machine Learning 6.0
100230 Financial Calculus and Project Analysis 4.0
100149 Smart and Sustainable Cities 4.0
100046 Remote Sensing 6.0
100048 Informatics and Information Law 4.0
100231 Business Law 4.0
100135 Applied Economics 4.0
100051 Entrepreneurship and Project Analysis 4.0
100226 Nonparametric and Computational Statistics 4.0
100148 Geospatial Analytics 4.0
100064 Risk Management 6.0
100232 People Management and Leadership 4.0
100070 Information Tecnologies, Governance and Service Management 6.0
100155 Process Intelligence 4.0
100227 Survey Methodology 4.0
100086 Forecasting Methods 6.0
100134 Digital Innovation Projects 4.0
100092 Information Systems Seminar 6.0
100255 Startup Venture Studio 6.0
100103 Web Analytics 4.0