Wo master - Exact en Informatica Eerder bekeken
Varianten: Computer Science: Computer Science and Science Communication and Society, Computer Science: Foundations of Computing, Computer Science: Bioinformatics...
This master's programme offers stimulating and innovative education at an internationally renowned institute and combines theoretical, experimental, and applied approaches.
The Computer Science master's programme offers nine specialisations that combine excellent theoretical teaching with possibilities for applied work with industrial relevance. This is achieved by intensive collaboration with companies and other partners. Course themes include topics such as Deep Learning, Data Science, Information Retrieval, Recommender Systems, Evolutionary Algorithms, Multimedia Systems, Embedded Systems and Software, Distributed Sytems, and High-Performance Computing.
The programme is open for students with an internationally recognized bachelor's degree in Computer Science or equivalent. You will be trained as an independent researcher, equipped with the necessary skills to advance your career as a computer scientist.
The Computer Science and Science Communication and Society master's specialisation focuses on the interaction between science and society.
Increasingly, the general public wants to be and needs to be informed about scientific topics. At the same time, scientists need to show accountability to the general public about their research. In this specialisation you bridge the gap between experts and the public by combining high quality research in computer science with extensive training in science communication. After completion you have obtained the necessary knowledge and skills to either become science communicator with a strong background in computer science, or a scientist with a communicating mindset.
Do you want to bridge the gap between scientific research and the public? Want to combine high quality research in computer science with professional science communication? Then, this master's specialisation is an excellent opportunity for you. You will be prepared for a career as a science or health communicator, policy maker, PR officer, science journalist, health officer, museum educator or a researcher with a communicating mindset.
By focusing on core concepts that transcend the boundaries of various Computer Science fields, the Foundations of Computation specialization prepares you for an inter-disciplinary future. In particular, you will learn to model complex software systems and apply automated proof techniques to verify their correctness, thereby increasing trust in digital systems. Using the power of symbolic computation, the specialization teaches you how to tackle hard computational problems, as well as to realize reasoning for artificial intelligence. It also equips you with the detailed knowledge of concurrency required to analyze parallel systems, but also with knowledge about non-deterministic and probabilistic computational models. Finally, you will learn to harness the power of quantum computers, for solving problems more efficiently than with classical computers.
The Bioinformatics master's specialisation integrates concepts and methods from both mathematics and computer science with (molecular) biology and biochemistry.
It focuses on research, development and application of computational tools and approaches for expanding the use of biological, medical, behavioral and health data. This includes many aspects from acquiring to analyzing and to visualizing data. The specialisation also deals with the development and application of data-analytical and theoretical methods, mathematical modelling and computational simulation techniques to the study of biological, behavioural, and social systems.
Do you want to contribute to the identification of new fundamental computer science principles and the development of new informatics tools? Do you like to address issues such as data capturing, data warehousing, data analysis and data mining within a marriage of disciplines? Then the master's specialisation in Bioinformatics is the right choice.
The master's specialisation Artificial Intelligence offers future-oriented topics in computer science with a focus on machine learning, optimization algorithms, and decision support techniques.
Artificial intelligence techniques are capable of making incredibly accurate predictions on the basis of data they themselves have gathered. In other words, computers can learn without intervention once they have been pre-programmed by humans. In this specialisation we explore the borders of what a revolutionary new generation of Artificial Intelligent algorithms can achieve. The specialisation also deals with applications of these algorithms to sieve out knowledge from data that is hard to extract for humans, and to search for the best combination of a variety of factors in some production process.
The master's specialisation Computer Science and Education prepares you for a career as a teacher in Dutch secondary schools.
It optimally prepares you to teach the subject of computer science to secondary school students, based on a solid background of high quality research in computer science. The programme comprises a one-year Computer Science component, followed by an education component in the second year. This master's specialisation uniquely enables you to make a relevant impact on society by educating today's secondary school pupils for tomorrow's challenges in the field of computer science.
The master’s specialisation Advanced Computing and Systems offers future-oriented topics in computer science with a focus on high performance computing, embedded systems, cloud and distributed computing.
This includes the driver of the internet of things, such as high performance computers capable of simultaneously processing huge volumes of data,
cloud computing and large database systems satisfying today’s demands on data analysis more than the more conventional transactions do, and embedded systems in which sensors and processors are integrated, making them ‘smart’ and sensitive to the change of the environment.
In the master’s specialisation Computer Science and Business Studies (formerly known as the MSc programme: ICT in Business and the Public Sector), you combine high-quality research in Computer Science with training in management and entrepreneurship. You will learn about analytical frameworks and skills for managerial decision making. The emphasis of the Business Studies specialisation is on combining research with the management and application of information technology in an organisational context. You will expand your knowledge of computer science and develop business and organisational skills that are essential to becoming a modern IT professional.
Over the last years, rapid changes in computer science and AI have created major challenges and opportunities for all kinds of organisations, industries, and individuals. To thrive in our modern information society, businesses and governmental organisations alike must combine a solid grasp of the evolving technological possibilities with a deep understanding of how to effectively and responsibly apply these in an organisational context.
The Computer Science and High-Tech Innovation specialisation is for MSc students who are interested in interdisciplinary technologies and research related to/important for high-technology industries, e.g., the semi-conductor industry. In addition to computer science and artificial intelligence, students learn knowledge and skills that enable them 1) to design and develop novel semi-conducting nano-materials, 2) develop instrumentation for high-precision measurements, and/or 3) develop software and hardware for integration and design. In the specialisation High-Tech Innovation, students combine high quality research in their field of study with experience in a scientific business environment comprising development from idea, to prototype, to application.
The specialisation High-Tech Innovation aims to introduce students to a broader array of exact sciences beyond Computer Science, with an emphasis on innovative technologies. In addition, students will gain practical experience in applying their knowledge and skills through completing a research project in collaboration with an industrial partner.
The specialisation emphasises interdisciplinarity across fields of study that connects with industry practices. Students will learn through real-life industrial case studies, lectures by industrial guest speakers, and teamwork in multidisciplinary problem solving.
The Data Science master's specialisation equips you with state-of-the-art knowledge on the foundations and algorithmic aspects of data mining, machine learning, and statistical data analysis.
Data science is an interdisciplinary discipline at the border of computer science and statistical science, aiming at discovering knowledge from typically large sets of data.
To achieve this goal, data scientists use methods from data mining, machine learning, and statistical data analysis, all of which rely on computer science foundations.
This specialisation provides you thorough knowledge and understanding of the computational aspects of data analysis, including mining of massive datasets, deep learning, network analysis, and text analytics.
Heb jij interesse en ambitie om jouw leiderschapskwaliteiten en je kennis over leiderschap verder te ontwikkelen? Wil je meer leren over leiderschap in praktijk? Dan is het Leiden Leadership Programme iets voor jou.
Het Leiden Leadership Programme is een eenjarig programma voor gemotiveerde masterstudenten waarin je leert over leiderschap en je eigen leiderschapskwaliteiten ontdekt en ontwikkelt. Door het kleinschalige onderwijs en een ondersteunende docentcoach werk je op een persoonlijke manier aan je eigen ontwikkeling. Ook volg je tijdens dit interdisciplinaire programma seminars en vaardigheidstrainingen, waardoor je meer inzicht krijgt in jouw sterke en zwakke punten en wat het effect is van jouw gedrag op anderen. Daarnaast werk je met een aantal medestudenten aan een pittige praktijkopdracht en ervaar je de complexiteit van leiderschap in de praktijk.
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Hoe beoordelen de (oud)studenten deze opleiding?
Hoe tevreden waren studenten in 2025 over aspecten van deze opleiding?
|
Deze opleiding
Universiteit Leiden |
Landelijk gemiddelde
Computer Science Vergelijk alle 4 opleidingen |
verschil | |
|---|---|---|---|
|
Studenttevredenheid
Meer informatie | 3.7 / 5 | 3.7 / 5 | |
| Sfeer | 3.9 / 5 | 3.8 / 5 | |
| Studiefaciliteiten | 4.0 / 5 | 4.0 / 5 | |
| Studie opnieuw kiezen | 3.7 / 5 | 3.7 / 5 | |
| Inhoud en opzet | 3.8 / 5 | 3.8 / 5 | |
| Aansluiting beroepspraktijk | 3.1 / 5 | 3.1 / 5 | |
|
Studenttevredenheid
Meer informatie | 3.7 / 5 | 3.7 / 5 | |
| Sfeer | 3.9 / 5 | 3.8 / 5 | |
| Studiefaciliteiten | 4.0 / 5 | 4.0 / 5 | |
| Studie opnieuw kiezen | 3.7 / 5 | 3.7 / 5 | |
| Inhoud en opzet | 3.8 / 5 | 3.8 / 5 | |
| Aansluiting beroepspraktijk | 3.1 / 5 | 3.1 / 5 | |
| Docenten | 3.9 / 5 | 3.8 / 5 | |
| Lesstof in het Engels | 4.4 / 5 | 4.4 / 5 | |
| Studiebegeleiding | 3.8 / 5 | 3.7 / 5 | |
| Toetsing en beoordeling | 3.7 / 5 | 3.7 / 5 | |
| Betrokkenheid en contact | 3.9 / 5 | 3.9 / 5 | |
| Studiedruk |
Over de studie Computer Science
Veel studenten hebben tijdens hun studie behoefte aan extra voorzieningen of flexibiliteit in het onderwijs. Dit kan komen door een aandoening zoals dyslexie, een chronische ziekte, psychische klachten, maar ook topsport of ondernemerschap tijdens de studie. Studenten beoordeelden hoe tevreden ze zijn over de ondersteuningsmogelijkheden bij hun onderwijsinstelling.
Lees hoe het studenten van deze opleiding in de eerste periode na hun studie vergaat op de arbeidsmarkt.
| Softwareontwikkelaars | 28% |
| Wiskundigen, actuarissen en statistici | 15% |
| Systeemanalisten | 13% |
| Professoren en andere onderwijsgevenden in het hoger onderwijs | 11% |
| Ontwerpers en beheerders van databanken | 8% |
Bij deze studie zijn de verwachtingen voor het vinden van een baan goed.
duurt gemiddeld 3 maanden.63% krijgt een vast contract.
85% vond een baan binnen het vakgebied van de studie
62% vond een baan op het niveau van de studie
Het startsalaris na deze studie is hoger dan het gemiddelde van alle wo master studies.
€ 3.462
Geschatte startsalaris na deze studie
€ 3.150
Geschat van alle wo master studies
Hoeveel uur afgestudeerden gemiddeld werken bij hun huidige baan.
38 uur
Het aandeel mensen dat werkt als zelfstandige of ondernemer.
3%
Meer weten over de opleiding? Neem contact op met Universiteit Leiden
Bezoek ook de website van Universiteit Leiden
Bezoek website van Universiteit Leiden