The interdisciplinary field of Decision Analytics (DA) seeks to understand and improve the judgment and decision making of individuals, groups, and organizations. Decision Analytics is grounded in theories and methods drawn from mathematics, probability and statistics, operations research, optimization, and artificial intelligence-based tools such as machine learning. The knowledge of this multidisciplinary area can be applied almost everywhere including government, manufacturing, design, health care, transportation, city planning, and business. The Systems Engineering department proposes a concentration in DA with the aim to equip students with the knowledge and skills for scientific decision making. The concentration consists of four courses taught by the systems Engineering Department, Mathematics and Information and Computer Sciences. The courses are Decision Making, Intelligent Decision Support Systems, Applied Game Theory and Cases in Decision Analytics.