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Doctoral Program in Information Management

Doutoramento Gestão De Informacao

Doctoral Program in Information Management

The Doctoral Program in Information Management aims to promote knowledge and innovation in Information Management, particularly in the research of its impact on wealth creation, improving the performance of organizations and the development of new methodologies and decision-making tools.

It provides advanced training through research, contributing to the progress of knowledge and the training of researchers, university teachers and highly qualified professionals.

The study cycle in Information Management is designed to include four areas:

  • Data-Driven Marketing;
  • Data Science;
  • Geoinformatics;
  • Information Systems.

This Doctoral Program is part of NOVA Doctoral School, which main goals are to develop Good Academic Practices and offer complementary training to its students, in free attendance events. For more information, please click here.

  • Vagas (1)

    Format

    After Working Hours

  • Media

    Length and ECTS

    6 semesters (180 ECTS)

  • Semestres

    Attendance

    2 to 3 times a
    week

  • Lingua

    Start Date

    September 2022

Who is it for? image

Who is it for?

This Doctoral Program aims to provide advanced knowledge for highly qualified researchers, teachers, technical staff and managers.

Goals

The Doctoral Program provides advanced training through research, contributing to the progress of knowledge and the training of researchers, university teachers and high qualification professionals. The research may follow a more theoretical approach or be developed in an applied context, allowing the knowledge transfer from academia to society.

The main goal is to acquire:

  • Solid scientific knowledge in an area of expertise;

  • Ability to design and develop independent research, according to international quality standards, the results must be of publishable quality for international journals;

  • Communication skills for research and the academic community;

  • Skills to manage innovation in academia, private enterprise, or public administration.

Study Plan

The standard length of the Doctoral Program is no fewer than 6 semesters (full-time). However, it is desirable not to exceed a period of 4 years.

The curricular component takes place in the first three semesters, and corresponds to 40 credits (ECTS). These are distributed between mandatory course units (25 ECTS) and elective course units (15 ECTS). The conclusion of the curricular component awards a Diploma of Advanced Studies.

  • Research Seminar I;         
  • Research Seminar II;       
  • Research Seminar III;
  • These.

1st  Year

Course Units Semester Professor ECTS
Research Seminar I Fall Semester Tiago Oliveira 7,5
Research Seminar II Spring Semester Paulo Rita 7,5
Elective Course Units Fall/ Spring Semester - 15

2nd  Year

Course Units Semester Professor ECTS
Research Seminar III Fall Semester Marco Painho 10

3rd  Year

Course Units Semester ECTS
These Fall/ Spring Semester 140

Mandatory Course Units

Research Seminar I

Introduction to NOVA IMS' research fields through presentations by the researchers / teachers. Introduction to the main research methodologies in Information Management. The students determine their work subject, the research literature/bibliography and present a preliminary proposal for their dissertation.

Research Seminar II

Continues the work developed in Research Seminar I, focusing on the methodologies and the preparation of the research work proposal. In this course the students make an advanced and comprehensive research literature/bibliography, and determine, in great detail, the methodologies to be applied in their dissertation. At this stage the dissertation advisor is chosen.

Research Seminar III

The main goal of this course unit is to introduce the student to scholarly publishing. The students develop regular presentations, ending with the production of a first peer-reviewed publication, or the peer-reviewed presentation of the preliminary research findings at an international conference.

Elective Course Units

For the conclusion of the lective part, Students will have to choose 15 ECTS in Elective Course Units among the following are available:

Course Units Semester Professor(s) ECTS
Advanced Topics Geographic Information Science Fall Semester Marco Painho Pedro Cabral 7,5
Experimental Design Fall Semester Diego Costa Pinto 5
Machine Learning Fall Semester Fernando Bação 7,5
Scale Development Fall Semester Pedro Simões Coelho 5
Advanced Topics in Geospatial Analysis Spring Semester Ana Cristina Costa Roberto Henriques 7,5
Genetic Programming Spring Semester Leonardo Vanneschi Mauro Castelli 7,5
Theories of the Adoption and Impact of Technologies Spring Semester Tiago Oliveira 7,5
Theory Testing with Structural Equation Modelling Spring Semester Pedro Simões Coelho 5

See in here the program of each course unit:

  • Fall Semester

    Advanced Topics Geographic Information Science

    Main goals of this course unit:

    • Identify the properties of Geographic Information (GI);
    • Recognize the importance of GI at present;
    • Know the use of GIS to different knowledge domains;
    • Know and apply correctly the concepts related to the use of GI and associated technologies;
    • Understand the relations between GI Science (GISc) and GIS;
    • Identify the main GISc components;
    • Frame the main geographic problems in the context of GISc’s components and explore their relations and
      challenges;
    • Recognize the main advantages on presenting a holistic model of a functional GIS;
    • Understand the main future research challenges in GISc;
    • Understand the concept of spatial modeling and its importance in GIS;
    • Identify several spatial modeling methodologies and to recognize their suitability considering existing project
      objectives and existing data constraints.

    Experimental Design

    This course unit aims to develop skills, methodologies, and research. At the end of the course unit, students should be able to:

    • Design, conduct, and analyze experiments in any field of knowledge;
    • Develop and conduct their own experimental studies.

    Machine Learning

    Main goals of this course unit:

    • Ensure that students in the PhD program who wish to develop their PhD project in the area of data science have
      advanced theoretical knowledge and are formally grounded in the area of machine learning;
    • Understand the fundamental paradigms and principles is machine learning;
    • Understand how to perform evaluation of learning algorithms and model selection;
    • Know the main machine learning research areas at NOVA IMS;
    • Be able to develop, test and assess the performance of prototypes of learning models in Python and scikit-learn;
    • Be able to read current research papers and understand the scientific issues involved.

    Scale Development

    The development of measurement scales is a fundamental tool to support research in business and social sciences and in general for all those that perform research based on theory testing. This course provides an introduction to scale development in the context business and social sciences research. It covers both qualitative and quantitative methods that may be used to conceptualize, operationalize, test and validate different scales and measurement models in the research framework. The main goal is to provide professionals, researchers and doctoral students with the methodological tools to develop scales underlying the test of theories in the context of social sciences.

  • Spring Semester

    Advanced Topics in Geospatial Analysis

    PAt the end of the course unit, students should be able to:

    • Use advanced tools for Exploratory Spatial Data Analysis (ESDA);
    • Describe the characteristics and patterns of spatial data;
    • Verify the assumptions of regression models, understand the consequences of violating the assumptions; apply
      corrections; interpret the results;
    • Understand the spatial regression models, discuss their limitations, apply the appropriate model, and interpret the
      results;
    • Understand the implications of the spatial prefix in Spatial Data Mining and the concepts of Spatial associations and
      Spatial outliers;
    • Understand unsupervised learning applied to spatial data and analyze the state-of-the-art algorithms;
    • Understand supervised learning for spatial classification and spatial regression problems and analyze the state-of-
      the-art algorithms;
    • Understand spatio-temporal and trajectory data mining;
    • Identify the main research areas of geospatial analysis and understand the limitations of current methods.

    Genetic Programming

    Main goals of this course unit:

    • Introducing the main concepts of Evolutionary Computation, motivating its importance in several different
      applicative scenarios;
    • Introducing Genetic Programming, explaining why and how it is particularly appropriate for Data Science (and thus
      creating an important link with the discipline of Machine Learning);
    • Presenting the recent trends and hot topics of research in Genetic Programming;
    • Introducing the concept of Neuroevolution, with some of its possible different aspects.

    Theories of the Adoption and Impact of Technologies

    This course unit aims to develop skills, methodologies and research. At the end of the course unit, students should be able to:

    • Critically discuss key concepts and concepts related to information technology (IT) adoption models and ITs impact
      models;
    • Conduct scientific research related to the adoption and/or impact (value) models of ITs;
    • Present the results of research;
    • Criticize and evaluate the results of colleagues;
    • Write a scientific article that may be published in a high impact journal (Q1 or ABS list level 3).

    Theory Testing with Structural Equation Modelling

    With the completion of this course unit, Students should be familiar with the various steps associated with the specification, identification, estimation, evaluation and modification of structural equation models needed to test theories in social sciences.
    Students should also be able to select the estimation methods that are most appropriate to the context in which they work, know the application requirements of each method and make the most appropriate decisions at every stage of modelling.
    Finally, Students should be able to organize and present the produced results and to write the results section of a report or a scientific paper.

Teaching Staff

The teaching staff consists of highly qualified teachers, of recognized competence in their areas of expertise to ensure the quality of teaching and the adequate students monitoring.

Lenght and Timetable

Length

The program lasts 6 academic semesters and includes the curricular component during the first three semesters, divided in 25 ECTS in Mandatory Course Units (Research Seminar I, II and III) and 15 ECTS in Elective Course Units. The classes of the 1st and 2nd semesters start in September 2022, ending in June 2023 and running after working hours (after 6:30 p.m.), 2 to 3 times a week.

Timetable

Fall Semester: see the timetable for the academic year 2022-2023 here.

Admissions and Fees

Admissions and Fees

The Admissions' Jury Panel of NOVA IMS is looking for excellent students who have the potential to become good technical staff and excellent managers. Qualities such as maturity, determination and motivation, both in the academic path as well in a professional career, are some of the attributes that the Jury Panel is looking for.

2nd Applications Phase

From April 20th to May 26th, 2022.

Requirements

To enter the Doctoral Program, applicants must meet one of the requirements set out in national legislation:

  • Hold a Master's degree or equivalent, or a bachelor's degree, in which the number of credits is at least 240. In this case the final grade average must be at least 16 (out of 20);
  • Hold a degree and a relevant academic or scientific curriculum and which has been recognized and approved by the Academic Board that declares that the applicant is able to carry out this cycle of studies;
  • Applicants must show proficiency in English (spoken and written).

How to Apply

The application process includes the following documents:

  • Fill the form available in NOVA IMS' Applications Portal;
  • Curriculum Vitae;
  • Identity Card or passport (optional);
  • A copy of degree certificate, with the classifications obtained (optional);
  • If the applicant submits a request to FCT – MCTES for a scholarship (and only in this case), the applicant must submit the research work proposal and the acceptance letter by the supervisor;
  • Letter of intent, in which the applicant explains the reasons for seeking admission in the Doctorate Program;
  • Two recommendation letters (optional).

Admission Criteria

The admission process is based on:

  • Final grade of the master's and/or the bachelor's degrees;
  • Analysis of the academic and scientific curriculum;
  • Analysis of the professional curriculum.

The members of the Admissions's Jury Panel may decide to hold an interview with all or some candidates - face-to-face or videoconference.

Application Fee

The fee of the application is €51. The application can only be considered after the payment of the application fee, within the stipulated period, non-refundable in case of withdrawal or non-admission in the program.

Registration Fee

After being admitted to the program and upon confirmation of enrollment, the candidate must make a payment of pre-registration (around one week after the admission result announcement), deductible in the Doctoral Program's tuition fee, non-refundable in case of withdrawal, with the following value:

  • €1.150 for applicants from EU and Portuguese-speaking countries;
  • €1.500 for applicants from other countries, unless their registration fee is provided by an official entity.

Upon registration, the students should make the following payments:

  • €35 - for enrollment fee (this value is updated annually);
  • €1,40 - for annual school insurance (this value is updated annually).

The registration fee for the 2nd year and the following years is €35 (this value is updated annually).

Tuition Fee

The tuition fee of this Doctoral Program is €3.000 per year.

Tuition Fee Payment Dates

The tuition fee of this program for the 1st year can be paid in full or in four installments:

  • Payment in full: from September 25th to 30th, 2022.
  • Payment in four installments:
    • 1st. September 25th to 30th, 2022 (25% of the tuition fee);
    • 2nd. November 25th to 30th, 2022 (25% of the tuition fee);
    • 3rd. February 22nd to 28th, 2023 (25% of the tuition fee);
    • 4th. April 25th to 30th, 2023 (25% of the tuition fee).

Discounts

  • Financial Discount: Students who choose to pay fee in a full payment have a 2,5% discount on the payable amount;
  • NOVA IMS' Alumni (Undergraduate, Postgraduate, Master Degree and Doctoral Programs) from a different program of the one they will attend have a 20% discount on the tuition fee, not cumulative with the financial discount.

Scholarships

The Coordinator of the Program encourages and helps doctoral students with applications for scholarships or other financial support. Applicants in the Doctoral Program of NOVA IMS are, historically, highly successful in their applications for scholarships from FCT – the Science and Technology Foundation.

NOVA Doctoral School

The Doctoral Program in Information Management is part of the NOVA Doctoral School (NED), the doctoral school of Universidade NOVA de Lisboa. NED promotes the quality, interdisciplinarity and internationalization of the University's PhD programs, and reinforces the doctoral candidates' personal and professional training, through a wide range of skills training programs. NED promotes:

  • Complementary training for the Doctoral candidates;
  • Academic and scientific activities, that promote interdisciplinarity, creating an open space for discussion and creativity;
  • Sharing good practices not only among the University's PhD programs, but also through partnerships with other higher education institutions;
  • The creation of collaborative mechanisms with businesses and society.

The attendance in NED's activities is free for NOVA IMS's Doctorate students. More information about the NOVA Doctoral School can be found at www.unl.pt/escola-doutoral.

Nova Escola

FAQ

Do you have a question? Explore the most frequently asked questions and find the answer here! If you still have unanswered questions, please contact us!

  • Applications

    When can I apply?

    It is only possible to submit the application during its applications phase. The date of the call for applications is available in the Admissions and Fees page of each program. However, you can fill the application form at any time, submitting it when the applications phase starts.

    How can I apply?

    The applications are submitted online, in NOVA IMS’ Applications Portal. To submit their application, the applicants must register in the Portal, fill the form, upload your Curriculum Vitae, choose the program and pay the application fee in the Portal. The application process is the same for all the applicants, national or international.

    Which documents are required?

    The only mandatory document during the application process is the Curriculum Vitae (in .doc or .pdf format). The applicant can upload other documents such as diploma or other certificate of their qualifications.

    How do I convert a file to .PDF?

    Here is a list of websites where you can convert files to the pdf format, as a reference:

    Is there an application fee?

    No, this Master has a special agreement regarding the application fee, so to be exempt of this fee (€51), the applicant must choose “voucher” in the payment method and submit the code: “NOVAIMS_GEOTECH”. The application will only be considered successfully submitted after the submission of the voucher. Please note that this voucher code can only be applied to the Master of Science in Geospatial Technologies.

    Can I apply to more than one program?

    You can apply to a maximum of 2 programs per application phase, by paying the application fee for each program, that is, the application to 1 program equals the payment of 1 application fee, the application to 2 programs equals the payment of 2 application fees.

    I have a bachelor's degree. Can I apply?

    You are eligible to apply if you hold a bachelor's degree, in which the number of credits is at least 240. In this case the final grade average must be at least 16 (out of 20). The applicant must also have a relevant academic or scientific curriculum, and which has been recognized and approved by the Academic Board that declares that the applicant is able to carry out this cycle of studies.

    In the application form, a Tax Identification Number is requested. What is Tax Identification Number? I don’t have one, what should I put in that blank field?

    In Portugal, the Tax Identification Number is required to identify a taxable entity or person, in tax declarations or financial transactions. If you don’t have a Tax ID Number or similar, please put “999999999” in that field of the application form.

    What should I write in the field: “Goals/motivation to apply to this program”?

    In this field, please mention:

    • In which way your background (academic and professional) fits the program;
    • What are your short-term professional goals;
    • What are your expectations with the attendance of this program.
  • Admission

    How does the selection process work?

    The selection process is based on the analysis of the academic and professional curriculum. The members of the Admissions’ Jury Panel may decide to hold an interview with all or some candidates – face-to-face or videoconference).

    In case I am contacted for an interview, can it be held at distance?

    Yes, the interview can be held at distance, preferably by Skype.

    When will I know the result of the application?

    The result of the application will be known, through email, in the date to be announced in the confirmation of submitted application email and/or by the Admissions’ Jury/Programs Manager.

    I was admitted in the program. What’s the next step?

    In case of admission, the applicant must make the payment of the pre-registration fee (around 1 week after the result announcement), until its deadline, in NOVA IMS’ Applications Portal and upload the diploma or other certificate of his latest qualification (example: Bachelor’s degree, Master’s degree or PhD).

    Can I attend more than one program by academic year?

    Yes, you may attend two programs per school year, although it’s not recommended. Please pay attention to the fact that there may be overlap of the Mandatory Course Units of each program, as well as the overlap of the exams.

    I was admitted in two programs, but I only intend to attend one. What should I do?

    In case of admission to two programs, the candidate will have to choose, in the Application Portal, the program in which they intend to attend. After choosing the desired program and paying the pre-registration fee, you must select the option "Withdrawal" in the 2nd program in which you do not intend to attend. Thus, your vacancy is available to a candidate on the Waiting List.

    I'm on the Waiting List. Can I still be admitted?

    Since it is possible for candidates to apply for two programs per application phase, there will be cases where the same candidate has been admitted to both programs, but intends to join only one. In these cases and if the limit number of vacancies is not completed, the remaining vacancy will be assigned to a candidate on the Waiting List.

    I intend the invoice for the payment of the application / pre-registration fees.

    The Invoice-Receipt will be available in this Applications’ Portal up to 2 business days after the payment, in the tab "Billing/Treasury".

    I was admitted in the program, but I need visa. What should I do?

    NOVA IMS can issue a document that proves admission in the program, that will be sent to the student and the Embassy. The document will only be issued or provided after the payment of the pre-registration fee. Regardless of issuance the document, the student must contact the Portuguese Embassy or Consulate in their country to get more information.

  • Other Informations

    Is this program taught in Portuguese or English?

    Considering the diversity of students’ nationalities, all the classes will be taught in English.

    Are there scholarships?

    NOVA IMS does not award scholarships. However, you can apply to Universidade Nova de Lisboa’ scholarships and financial support, provided by the university’s Social Welfare Services. You can learn more at https://sas.unl.pt/en/scholarships-2/scholarships_/ or contact them directly to bolsas@unl.pt. We don’t hold information about other scholarships.

    Is it possible to park on campus?

    The students can park their vehicles on campus, if they have the access card. There are several parking areas on campus and near to NOVA IMS. The request for access of vehicles to Campus de Campolide is made through registration or renewal of registration and subsequent payment. To do this, the interested parties should register in the system and select the type of access. Afterwards, they will receive all the data for the payment. It should be noted that the management of parking spaces is the exclusive responsibility of the NOVA’s Rectory. For more information, please visit the webpage http://www.unl.pt/en/nova/parking-campus.

    Is there accommodation on campus?

    The Social Welfare Services of Universidade Nova has ties with three student residences (one of them in Campus de Campolide) for Portuguese scholarship student and international students. The capacity of accommodation at school residences is limited. We can’t, in any way, guarantee you a room and we can only put your name on a waiting list, only after confirmation of admission. You will find more information about the residences at https://sas.unl.pt/en/accommodation/. 

    In case you are admitted to the program and want accommodation in one of the University’s residences, please contact adnovaims@novaims.unl.pt.

    Does the University offer a Portuguese course for international students?

    Yes, there is a Course of Portuguese as Foreign Language. This course is available in 4 types of classes:

    1. Individual lessons (the student arranges the schedule with the teacher according to their availability);
    2. Semester Group lessons (56 study classes + 8 hours for other activities);
    3. 30 hours intensive course (2 weeks);
    4. Online summer course (month of July).

    If you have any questions about this course, please contact: cursoportugues@fcsh.unl.pt.

Caetano Haberli Júnior
Consultant | CHJ Negócios, Estratégias e Pesquisa
Frank Bivar Franque
PhD Student Consultant | Trustly
Yasser Al Helaly
Doctoral Program in Information Management
Saleh Shuqair
Researcher | NOVA IMS
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NOVA IMS’ Doctoral Program in Information Management is extraordinary. Personal and professional satisfaction can be interpreted as growth. I grew in my skills alongside giants. Thank you, NOVA IMS!
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NOVA IMS offers a great experience for international students. The quality of the Doctoral Program in Information Management is exceptional and very enriching, thus, providing important tools for the researcher's career. It is also important to reference the quality and motivation of the professors involved in preparing the new researchers.
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The Doctoral Program in Information Management has met all my expectations not only on the academic level but also on the level of advanced research in the emerging field of Information Systems. From the first day at NOVA IMS, I felt comfortable, welcomed, and at home. The faculty and supervisors encourage us tirelessly to share our thoughts freely and tutor us to be high quality researchers. I am truly proud to be a part of this esteemed and highly professional community.
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The experience was personally enriching, unique, and fulfilling. The level of engagement, and interaction that I received from the faculty, helped prepare me for an excellent academic and research career path. Indeed, the Doctoral Program provides rigorous methodology training, dedicated supervision, as well as a robust research environment exemplified by regular seminars.