Compare 30 Masters Programs in Data Science

Students who wish to further their knowledge in a specific field of interest may want to look into obtaining a master’s degree. Employers often look favorably on master degree holders, as they often have a better education and more experience than those with lower-level degrees.

What is a Master in Data Science? People who want to collect, process and distribute data from extraordinarily large sets of information may want to obtain a Master in Data Science. Program courses focus on software structure, life cycles and methodologies. In addition to learning about networking and database systems, students understand how copyrights, privacy policies and quality assurance work. Obtaining a Master in Data Science can offer more career opportunities for scholars who have an undergraduate degree.

This advanced degree may lead to higher salaries, or provide a stepping stone for people who wish to earn a doctorate degree. University education can also teach students essential skills, such as working with a team, proper communication and good organization. These qualities can be used to provide a strong work ethic or may help to improve a person’s everyday life.

The cost of obtaining a master’s degree may vary depending on which educational institute the student decides to attend and what geographic region it is in. In some cases, schools offer financial assistance to help students in funding their education.

Scholars who graduate with a Master in Data Science may be able to find careers in a wide range of industries, including computer software, internet, biotechnology, research and pharmaceuticals. These professionals are able to pull crucial information from large data sets that ultimately help the field they are working in. Data science graduates are employed by large corporations that want to further their client base and run successful companies. These professionals may find lucrative positions in top software companies or work at a university.

Some universities offer online programs to simplify the academic process for some students. Search for your program below and contact directly the admission office of the school of your choice by filling in the lead form.

30 Results in Data Science Filter

Master in Data Science

Singidunum University
Campus Full-time 2 semesters November 2019 Serbia Belgrade

The Data Science study program is a unique master’s degree program in Serbia, on a par with the best quality programs in Europe and the world. This program is thought in the Serbian and English Language. The program instructs candidates to design intelligent mobile and web applications, based on extremely large data sets (Big Data).

Master of Science in Big Data Analytics for Business

IESEG School of Management Lille - Paris
Campus Full-time 1 year September 2019 France Lille

Join our MSc in Big Data Analytics for Business: a one-year program completely taught in English at one of the top business schools in France on our Lille campus.

Master of Science in Data Science

New Jersey Institute of Technology
Campus September 2019 USA Newark

As data accumulates across broad sectors of industry and academia we see a need for data scientists equipped with skills to assist with data-based decision making. For example, businesses are using data to determine insurance coverage, to make marketing decisions, to offer recommendations to customers, and to provide more effective health care. A famous example from academia is the determination of the Higgs Boson from simulated data with machine learning methods.

Master in Computational Data Science (MSc)

Free University of Bozen-Bolzano
Campus Full-time 2 years October 2019 Italy Bolzano

Our master programme will provide you with the key competencies that you will need to develop next-generation information systems used to describe and manage data, discover new facts and relations in the data, make predictions, and give advice to decision makers.

Master of Data Science

Harbour Space
Campus Full-time 2 years Open Enrollment Spain Barcelona

The MSc Data Science program is designed for those who desire to deepen their comprehension of all aspects of the data sciences. Applicants could be graduates from other degrees with a strong mathematical core, or those continuing their academic pursuit after achieving a BSc in data science.

Master in Health Economics and Big Data Analytics

Kozminski University
Campus Full-time 2 years October 2019 Poland Warsaw

Health Economics and Big Data Analytics - HEBDA is a unique full-time Master’s dual studies program and a practical profile, conducted entirely in English. Health Economics is a new but dynamically developing science. It is the discipline of economics applied to the topic of health care. Health Economics provides a set of methods and analytical approaches to study the effectiveness, efficiency, and value of health technologies with the ultimate objective of optimal allocation of healthcare resources.

Master of Data Science

The University of Western Australia
Campus Full-time Part-time 18 - 24 months January 2020 Australia Crawley + 1 more

Gain the skills to tackle big data challenges and compete in the digital realm.

Master in Data Science

Stevens Institute of Technology - Graduate Studies
Campus Full-time Part-time 2 years August 2019 USA Hoboken + 1 more

Learn the theoretical knowledge and practical skills necessary to analyze big data for functional application in business and technology.

Master of Data Science

University of South Australia
Campus Full-time 2 years January 2020 Australia Adelaide

The Master of Data Science gives you current knowledge of data science techniques and research. It caters for students with a mathematics or an IT background, with courses tailored for both.

Master in Data Science

Saint Joseph University of Beirut
Campus Full-time 4 semesters October 2019 Lebanon Beirut

We live in a data-driven world that’s generating huge volumes of information at ever-increasing rates, via social media, financial transactions, telecommunications, and even scientific discovery.

Master of Computer Science in Data Science

European Leadership University
Online Online & Campus Combined 12 - 15 months November 2019 Netherlands Amsterdam

The Master of Data Science program consists of 60 ECTS credits coursework with a final project. You can complete 9 modules in 12 to 15 months and earn your master’s degree in Data Science.

Master in Power and Data Engineering

Offenburg University
Campus Full-time 3 semesters October 2019 Germany Offenburg

Get ready for shaping the future energy sector! The energy sector is facing huge challenges: Growing energy demand, more distributed and renewable energy sources, less centralized and fossil sources. The energy sector is becoming more complex: Liberalized energy markets with more stakeholders, more systems and new technologies to manage and to interconnect. The solution - Power & Data Engineering: Managing the growing complexity needs a combination of profound power system understanding and modern IT and data engineering methods – exactly what you obtain by studying M.Sc. Power and Data Engineering.

Economics, Data Analytics and Corporate Finance Master

École Polytechnique
Campus Full-time 2 years September 2019 France Palaiseau

The Economics, Data Analytics and Corporate Finance program equips students with the quantitative methodology and real-world experience required for a thorough economic training. Principally an economics degree, you will also gain a firm grasp of the dynamics of technological innovation in business and organizational contexts.

Master in Data Science

Université de Nantes
Campus Full-time 1 year September 2019 France Nantes

Through this program, students will acquire the scientific and technological skills towards a data scientist profile within a computer science degree.

Master Data Management

North-Caucasus Federal University
Campus Full-time 2 years September 2019 Russia Stavropol

Training in the master's program will allow you to learn: on the basis of system analysis, carry out a formalization of the subject area and an assessment of the complexity of the designed and implemented data management information systems; design, develop information systems of applied nature using modern information technology tools, using the methods of formalized description of system models, methods of simulation and statistical modeling, data mining methods, etc; implement and maintain applied information systems in enterprises and institutions of various profiles and activities.