1,591 Data Science and Big Data 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 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.

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.

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.

Dive into the fascinating world of data science and artificial intelligence with our BSc (Hons) in Computer Science program. This track is designed for students eager to explore cutting-edge technologies and harness the power of data to drive innovation. Through a blend of theoretical knowledge and hands-on experience, students will master essential concepts in data analysis, machine learning, and predictive modeling.

The Bachelor in Data Science and AI at CEDEU helps you turn data into decisions. You will build a solid base in mathematics, statistics and programming, then move on to machine learning and artificial intelligence through real projects with partner companies.

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.

This one-year full-time conversion programme combines artificial intelligence and data science with data engineering, modelling, programming, data handling, and practical application to real-world problems. It also addresses AI governance, communication, ethics, and societal impact.

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.

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 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.

The MSc in Data Science & AI for Marketing prepares you to provide data-driven insights related to data analysis and marketing decision-making. You'll develop strong data analysis skills as well as full technical skills in software, programming languages and applications, from programming in R and Python to automated customer segmentation.

Are you interested in human cognition? Are you eager to understand AI, and how the technology works? In the bachelor Data Science & Artificial Intelligence you will develop a strong fundamental basis in computer science, mathematics and statistics combined to advanced machine learning, cognitive science and AI competence.

Big Data describes sets of data being so voluminous and complex that traditional data-processing application software is no longer able to manage the information. Big Data presents one of the greatest IT challenges of our era and many experts have made Big Data their R&D priority.

We live in an age where almost everything that we do is connected to data. Big data and datafication – the increasing transformation of multiple aspects of everyday lives into digital data, pose great opportunities but also risks for contemporary societies. This MA course address explores and creatively utilises this transformation. We place emphasis on current and future technologies and practices such as algorithms, artificial intelligence (AI), big data, blockchain, data analytics and data mining, the Internet of Things, and others. This multidisciplinary course brings together media/communication studies and computer science. It combines hands-on and applied approaches with theoretical learning and critical analysis. It will encourage collaboration, creative practice, group work and problem-based learning. You'll apply tools and technologies to your own data challenges and projects, including from your existing professional or cultural, political, social and economic environments. The course also features optional modules from a range of disciplines across the University: Media and Communication Studies, Law, Computer Science, Politics and International Relations, and Cultural Studies. You'll be introduced to the tools and approaches that can be used for the collection, analysis, management and visualisation of data, as well as to the skills needed to critically think about the ethical, cultural, social and political implications of their practice. The course combines technical skills, critical use and creative production. It directly addresses graduates who may wish to acquire a set of skills in relation to data analytics, processing and visualisation while maintaining and furthering a critical mode of enquiry into practices and trends that shape individuals, organisations and societies today. It also speaks to graduates with technical backgrounds and work experience in data-related industries who wish to develop a more critical and multidisciplinary understanding of the social, cultural, political and economic implications of data-driven societies today.