Bachelor Degree in Information Management
Education objectives
A degree in Information Management aims at training professionals able to collect, organize and analyze information from organizations and translate it into actions conducive to the achievement of their goals. The course aims at training professionals with fundamental knowledge about a wide range of tools and techniques, analytical and computational, which transform information into a strategic asset of organizations.
In this degree, it is intended that students acquire skills to perform new functions in the information society and knowledge. In this context, the graduated in Information Management should:
- Master a set of techniques and methodologies for data collection;
- Master the tools and processes used for the storage, organization and access to information in a business context;
- Understand the paradigms and technologies currently used in the management and dissemination of information;
- Master the methodologies as well as statistical and computational tools for exploring and analyzing information in order to reduce the levels of uncertainty associated with decision making;
- Develop models for the establishment of information flow to improve the processes of decision support and businessmanagement;
- Be able to identify problems related to the management of information in organizations;
- Know how to transform data into useful and relevant information, using language accessible to various decision centers;
- Be able to develop autonomously, solutions to new problems based on the knowledge gained from the answer to previous problems.
For more information aboutt this degree, click here.
General characterization
DGES code
9155
Cicle
Bachelor (1st Cycle)
Degree
Bachelor
Access to other programs
This Undergraduate Program gives acess to a Master Degree, confirm ours here.
Coordinator
Frederico Miguel Campos Cruz Ribeiro de Jesus
Opening date
September 2024
Vacancies
64
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: 9155
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 2022-2023 General Quota Information Management
- 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 |
| 100007 | Economic Analysis | 4.0 |
| 100025 | Computation I | 7.0 |
| 100068 | Business Management | 4.0 |
| 100094 | Information Systems | 6.0 |
| 1º year - Spring semester | ||
|---|---|---|
| Code | Name | ECTS |
| 100008 | Mathematical Analysis I | 5.0 |
| 100010 | Mathematical Analysis II | 7.0 |
| 100221 | Foundational Aspects of Information | 5.0 |
| 100035 | Personal Development I | 2.0 |
| 100156 | Statistics and Probability Distributions | 6.0 |
| 100080 | Marketing | 4.0 |
| 100220 | Programming for Business | 6.0 |
| 2º year - Autumn semester | ||
|---|---|---|
| Code | Name | ECTS |
| 100003 | Data Analysis | 6.0 |
| 100223 | Financial Analysis and Management Control | 4.0 |
| 100013 | Databases I | 6.0 |
| 100147 | Geospatial Intelligence | 4.0 |
| 100161 | Statistical Inference | 6.0 |
| 100222 | Data Preprocessing | 4.0 |
| 2º year - Spring semester | ||
|---|---|---|
| Code | Name | ECTS |
| 100225 | Machine Learning | 6.0 |
| 100224 | Business Intelligence | 6.0 |
| 100049 | Econometrics I | 6.0 |
| 100226 | Nonparametric and Computational Statistics | 4.0 |
| 100227 | Survey Methodology | 4.0 |
| 100146 | Computational Methods for Optimization | 4.0 |
| 3º year - Autumn semester | ||
|---|---|---|
| Code | Name | ECTS |
| 100040 | Personal Development II | 2.0 |
| 100050 | Econometrics II | 6.0 |
| 100228 | Business Strategy and Digital Transformation | 6.0 |
| 100059 | Market Research | 4.0 |
| 100017 | Business Process Management | 6.0 |
| 100096 | Enterprise Information Systems | 6.0 |
| Options | ||
| 100147 | Geospatial Intelligence | 4.0 |
| 3º year - Spring semester | ||
|---|---|---|
| Code | Name | ECTS |
| Options | ||
| 100153 | Network Analysis | 6.0 |
| 100254 | Applied Cybersecurity | 4.0 |
| 100230 | Financial Calculus and Project Analysis | 4.0 |
| 100149 | Smart and Sustainable Cities | 4.0 |
| 100136 | Mobile Apps Development | 5.0 |
| 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 |
| 100148 | Geospatial Analytics | 4.0 |
| 100234 | Project Management | 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 |
| 100086 | Forecasting Methods | 6.0 |
| 100134 | Digital Innovation Projects | 4.0 |
| 100092 | Information Systems Seminar | 6.0 |
| 100255 | Startup Venture Studio | 6.0 |
| 100137 | Technologies and Web Apps | 5.0 |
| 100103 | Web Analytics | 4.0 |
| 100105 | Web Marketing and E-business | 4.0 |