Bachelor in Data Science

Learn to solve real-world problems.

BACHELOR DEGREE

data science

“ Upcoming Edition ”

02 SEP 2024

Call for applications

Duration 31 weeks, full-time

Language English

Format On campus

Place Lisbon

 Award Incentive prize

data science testimony

During the bachelor degree I was able to acquire skills that fit the current business requirements, because, in addition to the excellence that NOVA IMS has accustomed us to and instilled, We also develop strong technical and soft skills that place us in an excellent market position. Studying at NOVA IMS is to represent a faculty at the forefront of technological development, which challenges itself every day to provide its students with an excellent education, focused on research and innovation. In addition to the academic component, the family environment offers a very close relationship between colleagues and teachers.

Why this program?

Data science is driving economic growth, public policy and corporate strategy all over the world, and the ability to manage and interpret data is rapidly becoming an essential skill in many organisations and industries. This transformation is generating a substantial unmet need for graduates who are not only technically proficient in analyzing data but who also know how to responsibly collect and manage data, and use data to make decisions and discoveries, think critically, and communicate effectively.

The Data Science undergraduate curriculum from NOVA IMS is an innovative interdisciplinary program designed with industry and offers an engaging, flexible, and high-quality experience. It emphasizes modern statistical and computational methods, strong communication skills, and extensive hands-on experience with the analysis of data from real, interdisciplinary problems.

The Bachelor in Data Science has been designed to train future professionals with skills to analyze a vast amount of data; understand, develop and use models, algorithms and the most advanced techniques in the field of data science, to analyze and extract knowledge from Big Data.

With The Bachelor in Data Science I will be equipped to to draw sound conclusions from data in context, using knowledge of statistical inference, computational processes, data management strategies, domain knowledge, and theory. / I will understand the theoretical foundations of statistics, machine learning and artificial intelligence methods. / I will identify and understand the most efficient algorithm for each specific problem, design and develop state-of-the-art data science algorithms. / I will learn to carry out analyses of data through the full cycle of the investigative process in scientific and practical contexts. / I will gain a deep appreciation of the human, social, and institutional structures and practices that shape technical work around computing and data, as well as an understanding of how data, data analytics, machine learning, artificial intelligence, and computing permeate and shape our individual and social lives.

Learning by design

| Every academic program has been designed to provide clear and ambitious learning outcomes. These learning outcomes give you an understanding of what you will be able to do at the end of the course. We develop each academic program by designing modules that grow your abilities towards the learning outcomes and help you to explain what you can offer to employers. Find out more about our approach to teaching and learning.

Students who complete this degree will be able to:

  • Understand the theoretical foundations of statistics, Machine Learning and Artificial Intelligence methods.
  • Identify and understand the most efficient algorithm for each specific problem.
  • Design and develop state-of-the-art data science algorithms.
  • Work closely with IT specialists to integrate Data Science algorithms into existing systems.
  • Identify underlying patterns and extract useful information from the large volume of heterogeneous data that exists in organizations.
  • Be proficient in commonly used statistical procedures, frameworks, machine learning techniques and systems.
  • Stimulate interest in keeping up with scientific advances in the field of Data Science and Artificial Intelligence.

Who is it for?

Whether you call them Data scientists or Data Gurus or by some other fancy name, the fundamentals remain the same! The world is in acute need of smart and creative people who can dive deep inside the ocean of Big Data and save the world from ignorance and provide valuable insights into businesses and help the World Economy grow!

Our Bachelor in Data Science is aimed at all high school finalist students, who look for in-depth training on the latest data science and artificial intelligence techniques, based on automatic logic reasoning, methods and techniques of data management as well as in machine learning applications. The course aims at training highly specialized professionals to help organizations take advantage of the huge amount of their data.

Where?


NOVA IMS is recognized by Celonis, world leader in Process Mining, as Academic Center of Excellence along with London School of Economics, Central Michigan University, Arizona State University.

NOVA IMS was and is a pioneer in converting data into value, with more than 30 years of experience and success accumulated in this area. NOVA IMS is the information management school of NOVA University Lisbon, with nationally and internationally recognized pedagogical skills in “data science and analytics” and “information systems”. Among universities founded less than 50 years ago and across most of the significant World University Rankings 2022 [Financial Times, QS, Eduniversal, U-Multirank, Times Higher Education, Leiden Ranking], NOVA University Lisbon stands in the European TOP 10.

NOVA IMS programs are internationally accredited, and several Masters and Post Graduations have been classified in positions of clear leadership by Eduniversal [the international agency that publishes annual ranking of the best Masters and MBAs in the world]: Master in information Management ranked 1st in the world, Postgraduate in Information Management and Business Intelligence in Healthcare ranked 1st in the world, Master in Statistics and Information Management ranked 2nd in the world,

Postgraduate in Enterprise Data Science & Analytics ranked 3rd in the world, Master in Data Science & Advanced Analytics ranked 1st in Western Europe, Master in Data Driven Marketing ranked 3rd in Western Europe are examples of such excellent programs to name just a few, placing it among the world leading schools of information management. NOVA IMS Master of Science in Geospatial Technologies has been selected by the European Commission as one of the most excellent Master Programs in Europe, and NOVA IMS Bachelor has the 1st Degree in Europe to be accredited in Information Systems by ABET. NOVA IMS was the 1st institution in the Iberian Peninsula to join iSchools, an international organization that brings together leading universities in research and teaching of information sciences. It is the 1st university outside the USA to achieve the GEOINT [Geospatial Intelligence] accreditation by the United States Geospatial Intelligence Foundation (USGIF), and is accredited member of UNIGIS, an international network of leading schools in Geographic Information Systems.

Program

Overview

| Informatics

| Management Sciences

| Mathematics and Statistics

| Social and Behavioral Sciences

data science skills

Semester 1

  • Computers’ Architecture
  • Foundational aspects of Data Science
  • Information Systems
  • Introduction to Programming
  • Linear Algebra
  • Mathematical Analysis I

Semester 2

  • Algorithms and Data Structures
  • Introduction to Artificial Intelligence
  • Introduction to Computational Thinking and DS
  • Mathematical Analysis II
  • Personal Development I
  • Statistics and Probability Distributions

Semester 3

  • Databases
  • Data preprocessing and visualization
  • Machine Learning I
  • Programming for Data Science
  • Statistical Inference

Semester 4

  • Big Data Storage
  • Forecasting Methods
  • Machine Learning II
  • Optimization Algorithms
  • Regression Analysis

Semester 5

  • Big Data Analysis
  • Capstone Project
  • Deep Learning
  • Ethic, social and legal aspects of Artificial Intelligence
  • Personal Development II
  • Text Mining

Semester 6

As part of the mobility program, students are encouraged to spend the last semester in another European Higher Education institution.

Electives

  • Digital Innovation Projects
  • Entrepreneurship and Project Analysis
  • Geospatial Analytics
  • Informatics and Information Law
  • Information Systems Seminar
  • Innovation Management
  • Network Analysis
  • Process Intelligence
  • Risk Management
  • Web Analytics
  • Web Marketing & E-business

Overview

| Informatics

| Management Sciences

| Mathematics and Statistics

| Social and Behavioral Sciences

data science skills
1

Semester 1

  • Computers’ Architecture
  • Foundational aspects of Data Science
  • Information Systems
  • Introduction to Programming
  • Linear Algebra
  • Mathematical Analysis I
2

Semester 2

  • Algorithms and Data Structures
  • Introduction to Artificial Intelligence
  • Introduction to Computational Thinking and DS
  • Mathematical Analysis II
  • Personal Development I
  • Statistics and Probability Distributions
3

Semester 3

  • Databases
  • Data preprocessing and visualization
  • Machine Learning I
  • Programming for Data Science
  • Statistical Inference
4

Semester 4

  • Big Data Storage
  • Forecasting Methods
  • Machine Learning II
  • Optimization Algorithms
  • Regression Analysis
5

Semester 5

  • Big Data Analysis
  • Capstone Project
  • Deep Learning
  • Ethic, social and legal aspects of Artificial Intelligence
  • Personal Development II
  • Text Mining
6

Semester 6

As part of the mobility program, students are encouraged to spend the last semester in another European Higher Education institution.

Electives

  • Digital Innovation Projects
  • Entrepreneurship and Project Analysis
  • Geospatial Analytics
  • Informatics and Information Law
  • Information Systems Seminar
  • Innovation Management
  • Network Analysis
  • Process Intelligence
  • Risk Management
  • Web Analytics
  • Web Marketing & E-business

Career outcomes

WHERE WILL A DATA SCIENCE DEGREE FROM NOVA IMS TAKE ME?

Big Data Analyst / Data Scientist / Data Architect / Solution Architect / Data Analyst Manager / Data Engineer / Data Miner / Statistician / Business Intelligence Analyst or developer / Specialist in Artificial Intelligence Systems/ Specialist in Machine/Deep Learning / IT consultant

As Data Science is an emerging field, there is an established strong market demand for suitably skilled data scientists world across and data science skills are increasingly being sought across the sectors, particularly by the finance and accounting industries, supermarkets, online retailers, and Health Services.

According to today’s global reports (Mckinsey Global Institute, PwC, EU Commission, BHEF, etc.)“the shortage of data science and analytics talent is pretty evident.”

With high* employability rate the most influential companies recruit NOVA IMS Data Science graduates.

* The course started in 2020. It is still early to get employment rate data.

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Reasons

to choose NOVA IMS.


to go to Lisbon.


to choose NOVA IMS.


to go to Lisbon.


Ready to start

your journey?

This call for applications for NOVA IMS degrees, under the International Student statute, is addressed to students who are not Portuguese nationals and are not nationals of an EU Member State.

We welcome applicants without traditional entry qualifications as we base decisions on our own assessment of qualifications, knowledge and previous work experience. We may waive formal entry requirements based on judgement of academic potential.

If you have completed your secondary education and have a diploma of entry to university studies in your country, you can apply.

If you have the equivalent of high school and your grades will be published in July 2024, you can apply.

Applicants must pass an admission examination in mathematics and show proof of proficiency in English (English is your first language or you have previously studied in English). You will be exempt from taking the English test if you have one of the following certificates: B2 in First or FCE; IELTS above 5.5; or TOEFL above 72.

Applicants must pass the interview (remotely) with the program coordinator.

  1. Application form duly completed; Application Form_Undergraduate Data Science programs
  2. Copy of personal identification document or passport, which expressly sets out the applicant’s nationality;
  3. Transcript of the last two years;
  4. Copy of diplomas/education certificates/training, namely the qualification giving access to higher education in the country of origin or equivalent qualification;
  5. Curriculum Vitae
  6. Proof of proficiency in English;
  7. Declaration, under oath, that the applicant is not covered by any of the items listed in Article 2, paragraph 2; Declaration_Under_Oath _NOVA IMS
  8. Certificate of residence issued by the country where the applicant currently resides.

Note: In the event of invitation to the interview, the applicant must submit/deliver the originals of the documents referred or certified copies thereof, by the control entity where the document was issued, until the registration period.

Applications for the Bachelor in Data Science must be submitted to the following email address partner_inodev@novaims.unl.pt. Submitting the application form entails a non-refundable cost. The examination of the application begins upon receipt of payment of the application fee of 600 TND.

1st Round Call for application from January 08th to February 05th, 2024

Once you submit your application, it undergoes an initial review by INODEV and then, in a second stage, is forwarded to the program director who will evaluate it to ensure that the program corresponds to your objectives and profile.

  • Interview with INODEV academic coordinator (Face-to-face): From January 09th, 2024 to February 06th, 2024;
  • Written English exam (online) – only for those who do not provide proof of English proficiency: To be announced;
  • Written Math exam (online)*: To be announced;
  • Interview with the program coordinator (ZOOM): To be announced;
  • Final classification and ranking of candidates;
  • Deadline for Disclosure and Communication of Results: To be announced;
  • Date for complaint about the application results: Date will be announced in due course; until To be announced;
  • Registration and enrollment: Beginning of September 2024.

Candidates will be provided with the topics for the written mathematics exam.

INODEV will notify you of the outcome of your application. If you are accepted, INODEV will issue your acceptance letter. From this point, your enrollment will be considered firm by both you and NOVA IMS.

We will contact you with information on pre-program preparation. Please note that INODEV will help you prepare your visa application and find accommodation according to your preferences.

  • Successful candidates must complete their registration and enrollment within the specific deadlines and conditions set out in the calendar applicable to this call for applications;
  • If a candidate does not register within the deadline, the following candidates on the admission list will be called in their place.

We recognize the most high-achieving students by funding annual awards that honor and celebrate their achievements. Recipients of these awards demonstrate academic excellence in course units. Recipients often go beyond expectations to distinguish themselves during the academic journey. These awards are just one way NOVA IMS encourages an environment of unparalleled academic excellence for our next generation of leaders.

Awarded annually to outstanding students who demonstrate excellent academic performance.

→ Find out more

Join NOVA IMS’s professional alumni network

Once you complete a NOVA IMS program, you join NOVA IMS’s alumni network, an outstanding global community of talented leaders who will support you long-term.

We Offer Elite Programs To Suit All Experience Levels

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