Master in Fundamental Principles of Data Science

Curriculum - MS in Data Science - Pace University Online

You'll explore a variety of applications for data while using industry-standard programming languages such as Python and R and tools including Spark, Hadoop, ...

M.S. in Data Analytics and Visualization Curriculum

You'll develop a work-ready portfolio of projects and deepen your understanding of the core principles, patterns and practices of data science and visualization ...

Master of Science in Data Science & Artificial Intelligence

Computational Data Analytics & Artificial Intelligence students are required to have a bachelor's degree in computer science, computer engineering, information ...

Course Descriptions - Data Science - Florida State University

Some familiarity with basic concepts in linear algebra and probability theory. Some basic knowledge of algorithm designs and some experience with Python or Java ...

Masters in Data Science and Analytics | Graceland University

The Master of Science (MS) in Data Science and Analytics will prepare students to transform data into information so that insight is gained for addressing real- ...

Data Science |

Data science is the study of the collection, management, and analysis of data to extract knowledge. It is a multidisciplinary field with core components ...

Master of Science in Computer Science Concentration in Data Science

Analyze complex, real-world problems and apply principles of data science and other relevant disciplines to identify solutions. ... Enhance your core experience ...

Course Descriptions | Data Science Masters

This course focuses on principles and algorithms for data management and analysis at scale. We'll cover designs of and how to use traditional and modern big ...

BS in Information Technology, Data Science (MyPath) - UMass Global

Master data science online with our B.S. in IT program ... Master the fundamental principles, concepts, and methods of chemistry and environmental science.

Online & On Campus Master's in Data Science: M.S. Program

Why earn a Data Science master's degree? · Strong interdisciplinary knowledge: You'll draw from computer science, mathematics, statistics, and business to form a ...

MS in Data Science Curriculum & Course Descriptions

Subjects include basic and advanced issues, ranging from social media privacy to implications of machine learning and artificial intelligence for religiousness.

Master in Data Analytics for Business | UPF-BSM

Gain access to one of the most in-demand professions through practical training in big data, artificial intelligence and business intelligence.

Course Descriptions and Prerequisites

DSC 10: Principles of Data Science; DSC 20: Programming and Basic Data Structures for Data Science; DSC 30: Data Structures and Algorithms for Data Science ...

MS in Biostatistics and Data Science

Data Science I (R and Python) (HBDS 5018) - Required.

Online Master of Science in Data Science and Analytic Storytelling

Data Science Core – 18 credits · Intro to Data Science · Big Data Management · Data Mining · Machine Learning · Ethics and Data Security · Thesis.

Data Science Master's Program - Stevens Institute of Technology

Earn your Master's degree in Data Science and learn to analyze complex data—including large-scale databases—and use state-of-the-art modeling and ...

M.S. in Data Science < University of Miami - Academic Bulletin

The Master of Science in Data Science is an interdisciplinary graduate program that combines the teaching of domain-specific and technical skills for analyzing ...

Statistics and Data Science MS - Temple Bulletin

It is meticulously crafted to provide an in-depth exploration of statistical methodologies and their practical applications in effectively addressing current ...

Data Science and Engineering

Understand fundamental principles and algorithms of data science and engineering. ... Core Coursework (MS). Courses. EECS 767 Information Retrieval. Click to ...

Data Science MSc | Data Scientist Course - Northumbria University

You will take five taught modules covering core areas of data science from principles, computational and statistical methods and techniques to programming in ...