This concentration examines concepts of data science strategies and leadership, as well as how organizations can manipulate data to fit their specific goals. Related Master's in Data Science Degree Concentrations Advanced Analytics Throughout the course, learners review estimation and hypothesis testing, maximum likelihood estimators, instrumental variable estimators, and the generalized method of moments. Students in this course review probability and statistics, including common families of statistical distributions, properties of a random sample, multiple random variables, and moment generating functions. Students also review the management and measurement of customer loyalty, satisfaction, and profitability. Coursework focuses on the interactions between corporate strategy, supply chain management, organizational structure, and customer-facing applications. This course explores customer relationship management as well as conceptual foundations. Throughout the course, students learn to understand logic programming, constraint satisfaction techniques, and optimization algorithms such as genetic algorithms. Students focus on planning and problem-solving, rules and production systems, knowledge representation with semantic frames and networks, and game playing and adversarial search methods. Learners examine the ways enterprise planning systems coordinate business processes to promote efficient management of a particular organization.
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Students in this class review the primary software packages used to handle managerial, operational, and accounting activities of organizations. Enterprise Planning Systems and Business Integration They also learn about common scenarios that involve important financial decision-making. Students apply these methods to support financial planning and decision-making for an organization. This course examines techniques, concepts, and software applications used to analyze accounting data. Common Master's in Data Science Degree Courses Accounting Data Analytics
Alternatively, some graduates go on to pursue additional education in the form of a doctoral degree. Core coursework emphasizes computer science, industrial engineering, and business concepts, while electives may include topics such as algorithms and data structures, digital image processing and analysis, distributed systems, and bioinformatics.Įarning an online master's in data science prepares learners to enter the field immediately upon graduation. While specific courses vary, students often complete a mixture of core, concentration, and elective courses, as well as a culminating practicum. These specializations usually relate to common career opportunities in the field. Additionally, some institutions offer specializations or concentrations that allow degree-seekers to tailor their program to better match their personal interests and career goals. What Can I Expect From an Online Master's in Data Science Program?Ĭoursework for online master's in data science programs can vary between institutions and often depends on faculty expertise and/or institutional priorities. Learn about start dates, transferring credits, availability of financial aid, and more by contacting the universities below. Is your school on this list? Get the BestColleges ranking seal. 2022 Best Accredited Online Master's in Data Science Programs
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