890 Data Science and Big Data Masters Degree Programs

The Master of Science in Computer Science with a specialisation in Data Science at IU International University of Applied Sciences is a 24-month, English-taught, on-campus programme in Cologne, Germany. The curriculum covers data engineering, machine learning, predictive modelling, and big data technologies. No prior German is required. Graduates hold a German state-accredited degree from Germany's largest university and can apply for an 18-month post-study work visa. On average, IU graduates find a job within 2.6 months.

Master's Degree No. 3 in the official ranking Spain 2023. With the master's degree you will find one of the best paid jobs in the world. Digital Analytics is one of the most in-demand disciplines in the digital sector and recently in all sectors. We champion Banking and the media, with the rest of the sectors joining the new demand. With the strategic change of cost-based companies into data-based companies, knowledge of the data, to work with it and from there achieve optimization has become the key to the new company. The main objective of the Digital Analytics Master is to make you become a professional digital analyst. To do this, our master's degree focuses on developing the main capabilities that any analyst must have: business vision, technical skills, analytical capacity and knowledge of the digital environment, always with the use of the main leading tools. It is time to move forward, it is time to decide and adapt to the market needs for the competitiveness of the company. You can choose to be a Data Science, Business Data Analyst or Data Project. Choose the #3 ranked master's degree in Spain for Data Processing. Choose the Master in Data Analytics and Big Data from Spain Business School (MAWBD+).

Data science comprises the concepts, techniques, tools, and body of knowledge supporting Big Data, the acquisition, management, analysis, and display of large, rapidly changing, and varied sets of information. It supports the extraction of actionable knowledge directly from data through a process of discovery, hypothesis formulation, and hypothesis testing. Data science encompasses activities ranging from collecting the raw data, processing and extracting knowledge from the data, to decision-making based on the data, and implementing a solution.

Our Master's in Data Science and AI provides a comprehensive grounding in the knowledge and skills required to work within data science and artificial intelligence.

Campbellsville University's one-year Master of Science in Data Science and Artificial Intelligence degree is a STEM program designed for students with a computer science background, preparing them to harness AI and machine learning to solve practical problems. This 100% online program includes 36 credits and explores project management, big data analytics, design thinking and more. Graduates can pursue data science, solutions architecture and AI engineering roles. Learn more today.

Data plays a role in almost every scientific discipline, the corporate sector and social organisations. Learn how to transform data into knowledge and solutions using modern machine learning and AI techniques with the MSc in Data Science and AI.

Big Data is much more than a fashionable concept, it is a necessity. Currently, all industries that generate and consume data of multiple types and sources need professionals and experts in Big Data. Therefore, these jobs are among the most in demand worldwide. For example, according to LinkedIn, about 79% of the offers published on job portals are related to Big Data and/or Data Science jobs.

The digital revolution has seen data science and AI become crucial elements of everyday life. Machine learning and the technologies and methodologies for processing enormous amounts of data are also creating a wealth of new opportunities. Consequently, skilled data scientists and AI engineers are in huge demand in all manner of situations. This MSc in Data Science and AI program will offer you a solid foundation in machine learning, resulting in a fantastically wide range of options after graduation.

Master in Artificial Intelligence and Data Science, Specialisation Computational Intelligence and Data Science (MSc) speciality is addressed to candidates interested in knowledge of modern methods of artificial intelligence and, in particular, computational intelligence and its applications, e.g. the analysis of big data and data mining. The proposed subject is closely related to scientific research conducted by the Faculty of Computer Science and Artificial Intelligence.

The Data Science and Artificial Intelligence MSc programme has been designed to provide students with a non-computer science first degree with the necessary technical knowledge and skills required to take up rewarding careers within the data science and artificial intelligence (AI) industry, including interdisciplinary career opportunities. The programme will allow students to build on their existing undergraduate degrees, and upskill their portfolio of abilities, in the context of current thinking in the domain of data science and AI. More specifically the programme will provide students with a comprehensive insight into the modern data analytics landscape with a focus on data science and AI.

The MSc in Applied Data Science & AI is designed for graduate students who seek a career at the intersection of management and tech departments within companies. The program has no prerequisites on Computer Science.

Data science is expanding quickly, and the MSc in Data Science prepares learners with strong skills in machine learning, big-data analysis, and AI. Throughout the program, students gain proficiency in Python and Power BI, tackle real industry datasets, and create predictive modeling solutions. The coursework highlights data visualization, statistical methods, and responsible uses of AI.

The MSc Biostatistics and Data Science offers a unique combination of Biostatistics and Data Science. Students with backgrounds in Mathematics, Statistics, Computer Science, or related disciplines are provided with the skills to solve problems in Biology, Medicine, and Public Health.

Acquire basic knowledge of data processing, data science, and big data infrastructure for identifying data- driven solutions to interdisciplinary problems with Master of Science in Data Science (Analytics in Teaching and Learning).

Data science is a rapidly growing field, and the MSc in Data Science equips students with expertise in machine learning, big data analytics, and artificial intelligence. Students develop programming skills in Python and Power BI, work on real-world datasets, and build predictive models. The curriculum emphasizes data visualization, statistical analysis, and ethical AI applications.

The MSc in Data Science and Artificial Intelligence (AI) will prepare you to become a future-ready AI professional with expertise in advanced machine learning, generative models, data engineering and data science. The programme combines theoretical foundations with practical experience, enabling you to design scalable, ethical, and innovative AI solutions across industries.

This programme is designed to provide students with the knowledge and applied skills in data science, big data analytics and business intelligence. It aims to develop analytical and investigative knowledge and skills using data science tools and techniques and to enhance data science knowledge and critical interpretation skills. Students will understand the impact of data science upon modern processes and businesses, be able to identify and implement specific tools, practices, features and techniques to enhance the analysis of data.

With data science evolving at a fast pace, the MSc in Data Science provides students with in-depth knowledge of machine learning, big-data analytics, and AI systems. Learners enhance their programming skills with tools like Python and Power BI, engage with real-world data challenges, and develop predictive solutions. The curriculum stresses the importance of visualization, statistical evaluation, and the ethical use of AI technologies.