“ Upcoming Edition ”
SEP 2025
Call for applications Open
Duration 3 years, full-time
Language English
Format On campus
Place Lisbon
Scholarships Incentive prize
During the bachelor degree I was able to acquire skills that fit the current business requirements, because, in addition to the excellence that the school has accustomed us to and instilled, We also develop strong technical and soft skills that place us in an excellent market position. Studying at TOP data science school 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 fellow students 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 program in Lisbon from NOVA IMS is an innovative interdisciplinary curriculum 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.
Program
Overview
| Informatics
| Management Sciences
| Mathematics and Statistics
| Social and Behavioral Sciences
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
- 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
Employability
TOP Employers
Altice | Efacec | Eurostat | Fnac | Inetum | Microsoft | Nokia | Oracle | PwC | KPMG | Reuters | SONAE | Vodafone
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
Growth
The job outlook for Data Science professionals is very promising with a projected global job growth of 36% between 2023 and 2033, i.e. 20,800 job openings for Data Scientists each year now through 2033 in USA. 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.”
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.
- Application form duly completed; Application Form_Undergraduate Data Science programs
- Copy of personal identification document or passport, which expressly sets out the applicant’s nationality;
- Transcript of the last two years;
- Copy of diplomas/education certificates/training, namely the qualification giving access to higher education in the country of origin or equivalent qualification;
- Curriculum Vitae
- Proof of proficiency in English;
- 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
- 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 admissions@inodev.tn. 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 01st to January 30th, 2025
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 07th 2025 to January 30th, 2025;
- Written English exam (online) – only for those who do not provide proof of English proficiency: February 05th, 2025;
- Written Math exam (online)*: February 06th, 2025;
- Interview with the program coordinator (ZOOM): February 07th, 2025;
- Final classification and ranking of candidates;
- Deadline for Disclosure and Communication of Results: February 10th, 2025;
- Date for complaint about the application results: Date will be announced in due course; until February 17th, 2025;
- Registration and enrollment: Beginning of September 2025.
* 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 scholarships demonstrate academic excellence in course units. Recipients often go beyond expectations to distinguish themselves during the academic journey. These awards are just one way school encourages an environment of unparalleled academic excellence for our next generation of leaders.
Awarded annually to outstanding students who demonstrate excellent academic performance.
INODEV helps you get a visa and find accommodation according to your preferences. All our students successfully obtain a Study Visa with 100% success rate.
You can apply for an accommodation as soon as your study place is confirmed. The application is valid for two (2) weeks from the date of submission. Fill out the accommodation application.
Reflection
FAQs
Which is better, CS or DS?
Computer science develops software, algorithms and computer systems, while data science combines computer science along with applied mathematics, statistics and application domain knowledge to extract information from data through statistical analysis and machine learning. Both fields offer promising future prospects, so it’s important to choose which is best suited to your passions and aspirations.
What pays more, software engineering or data science?
AI engineers have higher salaries, on average, than data scientists, who in turn tend to earn more than software engineers in the early phase of their careers.
Where do people with Data Science degrees go after graduation?
A majority of our students find jobs after graduation in industry, as data scientists and analysts and engineers for companies working with big data in technology, business consulting, healthcare, manufacturing and more. In addition, our students also enroll in master’s degrees specializing in making use of data.
Why choose a data science program in Lisbon?
You will join a pioneer school in converting data into value, with nationally and internationally recognized pedagogical skills in “data science and analytics” and “information systems”. The school programs are internationally accredited, and several Masters and Post Graduations have been classified in positions of clear leadership by Eduniversal, placing it among the world leading schools of information management.
What is the 2024 entry-level salary for data science globally?
General Salary Ranges for Entry-Level Data Science Roles in 2024.
Europe: $50,000 to $80,000
USA: $85,000 to $117,000
Asia: $40,000 to $70,000
Gulf Countries: $50,000 to $90,000
Will you help me choose my studies?
We render three mentoring service packages that will guarantee your success abroad: Discover, Rise, and Shine.
We have already helped realized many dreams and the count is only increasing by the day.
How can I be admitted to the data science degree?
Students can apply directly into the Bachelor in Data Science from high school or as a transfer student. Instructions for how to apply can be found on the Admission site. For any admissions-related questions, please contact admissions@inodev.tn.
Are there visa requirements?
Students who are not Portuguese nationals and are not nationals of an EU Member State will need a visa to study in our bachelor program. Our admissions team provides guidance on the visa application process to ensure a smooth transition. All our students successfully obtain a Study Visa with 100% success rate.
What are the fees for the Bachelor in Data Science?
Tuition fees for the Bachelor in Data Science 2025 intake are €7,500.
Do you offer accommodation assistance?
We offer affordable rental housing for students in Portugal. Applying for student accommodation accommodation is easy. Contact us and your application is valid in no time.
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